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{"sheet":"Interface layout (no formulas)","index":0,"n_rows":155,"n_cols":9,"rows_kept":155,"cut":false,"hidden":true,"merged":[[1,7,1,8],[129,1,130,1]]}
[null,null,null,null,null,null,null,null,"[Donors]\nCarbon Trust"]
["🔽","STEP 1: GENERAL INFORMATION",null,null,null,null,null,"Reset Button will delete all user input in this worksheet."]
[]
[null,"Region*","Africa                                   🔽"]
[null,"Country*","Angola                                 🔽"]
[null,"Commodity*","Meat (pig)"]
[null,"Commodity group 🔒",{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(commodity,IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":{"$error":"#N/A"}}]
[null,"Production Type (meat-only)*",""]
[null,"Commodity Price (optional)",25,{"$f":"IF(commodity=\"Milk (cattle)\", \"USD/litre\", \"USD/t\")","v":"USD/t"}]
[null,"Nitrogen Applied to Synthetic Fertilizer*",100,"kg per year"]
[null,"Unit of Measurement for Nitrogen*","kg of Nitrogen per tonne of production (kg N/tonne)","tonnes/hectare"]
[null,"Yield per Year*",100000,"tonnes/hectare"]
[null,"Commodity Emission Factor (optional)",null,"tCO2e/tonne"]
[]
["🔽","STEP 2: SUPPLY CHAIN IMPROVEMENTS\nSelect the stages of supply chain where improvements have been implemented."]
[]
[null,null,"Production","Transport Stage 1","Storage Location 1","Processing","Transport Stage 2","Storage Location 2","Retail"]
[null,"Description Needed","Harvest and post-harvest losses (e.g. food preparation peeling, cutting, washing), plastic crates instead of bags for crops, temporary on-farm storage","Losses during transport from farm to storage or sale","Losses occuring in a dedicated storage facility (e.g. silos, warehouses, cooling facilities, etc.). May be on farm or off-site.","Description Needed","Description Needed","Description Needed","Description Needed"]
[]
["🔽","STEP 3: IMPROVEMENT DETAILS\nDescribe the projects implemented at each of the revelant stages of the value chain."]
[]
[null,"Supply Chain Stages","Production","Transport Stage 1","Storage Location 1","Processing","Transport Stage 2","Storage Location 2","Retail"]
[null,"Select main improvement (crops-only)","🔽","🔽","🔽","🔽","🔽","🔽","🔽"]
[null,"Select main improvement (meat-only)"]
[null,"Other improvements (optional)","🔽","🔽","🔽","🔽","🔽","🔽","🔽"]
[]
["🔽","STEP 4: POST IMPROVEMENT DETAILS\nEnter the amounts and loss rates associated with post improvement activities."]
[]
[null,"Supply Chain Stages","Production","Transport Stage 1","Storage Location 1","Processing","Transport Stage 2","Storage Location 2","Retail"]
[null,"Commodity total after the improvements*",100,100,100]
[null,{"$f":"CONCATENATE(\"Unit of measurement (kg, tonnes)\", IF(commodity=\"Milk (cattle)\",\". 1 milk litre = 1 kg.\", \"\"), IF(OR(commodity=\"Meat (cattle)\", commodity=\"Meat (chicken)\", commodity=\"Meat (pig)\"), \" (carcass weight)*\", \"\"))","v":"Unit of measurement (kg, tonnes)"},"Tonnes","Tonnes","Tonnes"]
[null,"Is amount reported net of food loss?*","Yes","Yes","Yes"]
[null,"Site/phase food loss rate after the project (%)*",0.05,0.05,0.05]
[null,"Site/phase food loss rate before the project (default 10%)*",0.1,0.1,0.1,0.1,0.1,0.1,0.1]
[]
["🔽","Advance Inputs (Optional)"]
["🔽","Advanced Production Details (Optional)"]
[]
[null,"Commodity Price (optional)",3,{"$f":"IF(commodity=\"Milk (cattle)\", \"USD/litre\", \"USD/t\")","v":"USD/t"}]
[null,"Nitrogen Applied to Synthetic Fertilizer*",null,"kg per year"]
[null,"Unit of Measurement for Nitrogen*","kg of Nitrogen per tonne of production (kg N/tonne)"]
[null,"Yield per Year*",null,"tonnes/hectare"]
[null,"Commodity Emission Factor (optional)",null,"tCO2e/tonne"]
[]
["🔽","Advanced Transportation Details (Optional)"]
[]
[null,"Distance travelled by the merchandise in the selected country. (If the dedicated storage site is the same as production put 0. Leave blank to apply the national average.)",50,"km"]
[]
[null,"Transport Stage 1"]
[null,"Emissions factor type"]
[null,"Emissions factor value"]
[null,"Distance",null,"km"]
[null,"Transport mode"]
[null,"Fuel type"]
[null,"Category"]
[null,"Temperature control"]
[null,"Fleet age",null,"years"]
[null,"Road conditions"]
[null,"Total Emissions 🔒",null,"tCO₂e"]
[null,"Carbon Dioxide (CO2) Emissions 🔒",null,"tCO₂e"]
[null,"Methane (CH4) Emissions 🔒",null,"tCO₂e"]
[null,"Nitrous Oxide (N2O) Emissions 🔒",null,"tCO₂e"]
[]
[null,"Transport Stage 2"]
[null,"Emissions factor type"]
[null,"Emissions factor value"]
[null,"Distance",null,"km"]
[null,"Transport mode"]
[null,"Fuel type"]
[null,"Category"]
[null,"Temperature control"]
[null,"Fleet age",null,"years"]
[null,"Road conditions"]
[null,"Total Emissions 🔒",null,"tCO₂e"]
[null,"Carbon Dioxide (CO2) Emissions 🔒",null,"tCO₂e"]
[null,"Methane (CH4) Emissions 🔒"]
[null,"Nitrous Oxide (N2O) Emissions 🔒"]
[]
["🔽","Advanced Storage Details (Optional)"]
[]
[null,"Is any dedicated storage ambient or temperature controlled, heated and/or chilled","🔽"]
[]
[null,"Storage Location 1"]
[null,"Time in Storage",null,"days"]
[null,"Temperature control","🔽"]
[null,"Electricity consumption",null,"kWh/day/tonne"]
[null,"Natural gas consumption",null,"kWh/day/tonne"]
[null,"Emissions per tonne",null,"tCO2e/tonne crop"]
[]
[null,"Storage Location 2"]
[null,"Time in Storage",null,"days"]
[null,"Temperature control","🔽"]
[null,"Electricity consumption",null,"kWh/day/tonne"]
[null,"Natural gas consumption",null,"kWh/day/tonne"]
[null,"Emissions per tonne",null,"tCO2e/tonne crop"]
[]
["🔽","Advanced Processing Details (Optional)"]
[]
[null,"Electricity consumption",null,"kWh/tonne"]
[null,"Natural gas consumption",null,"kWh/tonne"]
[null,"Amount of processed food re-used (not eaten)",null,"tonne"]
[null,"Emissions per tonne",null,"tCO2e/tonne crop"]
[]
["🔽","Advanced Retail Details (Optional)"]
[]
[null,"Store type","🔽"]
[null,"Temperature control","🔽"]
[null,"Electricity consumption",null,"kWh/tonne"]
[null,"Gas consumption",null,"kWh/tonne"]
[null,"Electricity consumption",null,"kWh/m2"]
[null,"Gas consumption",null,"kWh/m2"]
[null,"Emissions per tonne",null,"tCO2e/tonne crop"]
[]
["🔽","Advanced Landfill Details (Optional)"]
[]
[null,"Commodity losses going to landfill or thrown away",0.56999999999999995]
[null,"Landfill Type","🔽"]
[null,"Climate Zone","🔽"]
[null,"Emissions per tonne",null,"tCO2e/tonne crop"]
[]
["🔽","STEP 5: Results"]
["🔽","A. Summary 🔒"]
[null,null,"Production","Transport","Storage"]
[null,"Avoided losses per year",{"$f":"'GHG Results'!D10","v":0},{"$f":"'GHG Results'!E10","v":0},{"$f":"'GHG Results'!F10","v":0},"tonnes"]
[null,"Total GhG emissions saved per phase per year",{"$f":"SUM('GHG Results'!D28:D30)","v":0},{"$f":"SUM('GHG Results'!E28:E30)","v":0},{"$f":"SUM('GHG Results'!F28:F30)","v":0},"tonnes CO2e"]
[null,"Improvement",{"$f":"IFERROR(('FL-output'!F26-'FL-output'!#REF!)/'FL-output'!F26,\"\")","v":""},{"$f":"IFERROR(('FL-output'!#REF!-'FL-output'!#REF!)/'FL-output'!#REF!,\"\")","v":""},{"$f":"IFERROR(('FL-output'!F27-'FL-output'!#REF!)/'FL-output'!F27,\"\")","v":""}]
[null,"Total financial savings (USD)",{"$f":"C124*$C$9","v":0},{"$f":"D124*$C$9","v":0},{"$f":"E124*$C$9","v":0}]
[null,"Additional comments","The results above are calculated using food loss rates reported by the user.","The results above are calculated using food loss rates reported by the user.","The results above are calculated using food loss rates reported by the user."]
[]
[null,"Cumulative total",{"$f":"SUM(C124:E124)","v":0},"tonnes"]
[null,null,{"$f":"'GHG Results'!F40","v":0},"tonnes CO2e"]
[null,null,{"$f":"IFERROR(C131/C130,\"\")","v":""}]
[null,"Methane",null,"tonnes CO2e/tonne"]
[null,"Co2",null,"tonnes CO2e/tonne"]
[null,"GHG savings",null,"tonnes CO2e/tonne"]
[]
["🔽","B. Charts 🔒"]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[null,"*Required"]

{"sheet":"Additional Inputs","index":1,"n_rows":101,"n_cols":11,"rows_kept":101,"cut":false,"hidden":true,"merged":[[7,4,10,4]]}
[]
[null,"include summary of instructions"]
[]
[null,"I. Production"]
[]
[null,null,"Default values","User input"]
[null,"Commodity price (USD/tonne)",null,3]
[null,null,null,null,"Section not applicable for animal proteins"]
[null,"Synthetic nitrogen fertiliser applied per year (kg)"]
[null,"Unit of measurement for nitrogen (per hectare, per tonne)",null,"kg of Nitrogen per tonne of production (kg N/tonne)"]
[null,"Yield per year (tonnes/ha)"]
[null,null,null,null,null,null,"Final value"]
[null,"Commodity Emission Factor (tCO2e/tonne crop)"]
[]
[]
[]
[]
[]
[null,"II. Transport"]
[]
[]
[null,"a) If available, provide an appropriate emission factor, otherwise leave this section blank and fill in section b)","Default values","User input (1st phase)","User input (2nd phase)"]
[null,"Emissions factor type",null,"Fuel efficiency (km/litre)"]
[null,"Emissions factor value",null,null,null,null,"<< split CO2e factor by GHG based on BEIS data"]
[null,null,null,"change to liters per 100km, move fuel efficiency to section b)\nflag it as nice to have"]
[null,"b) If emissions factors are not available, fill in one or more information below to use a standardised emission factor"]
[null,null,null,null,null,null,"<< split default value between the two phases"]
[null,null,null,null,null,null,"<< clear inputs when transport mode changes"]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
["<<  "]
[]
[]
[]
[]
["<<  "]
[]
[null,"III. Storage"]
[]
[null,null,"Default values","User input (1st phase)","User input (2nd phase)"]
[null,"Length of time (days)",1,10,10]
[null,"Temperature control","Ambient","Ambient","Chilled"]
[]
[null,"Electricity consumption (kWh/day/tonne)",null,5,10]
[null,"Natural gas consumption (kWh/day/tonne)",null,2,3]
[null,null,null,null,null,null,"Final value"]
[null,"Emissions per tonne (tCO2e/tonne crop)",null,null,null,null,{"$f":"IF(AND(D64=\"\",E64=\"\"),C64,SUM(D64:E64))","v":0}]
[]
[]
[null,"III. Processing"]
[]
[null,null,"Default values","User input"]
[null,"Electricity consumption (kWh/tonne)",1,10]
[null,"Natural gas consumption (kWh/tonne)",1,10]
[null,"Amount of processed food not eaten but re-used (tonne)",0,null,null,null,null,"Amount sent to AD/energy generation, compost/mulch, animal feed or bio-materials"]
[null,"Include re-use for user input against transport and storage too?",null,null,null,null,"Final value"]
[null,"Emissions per tonne (tCO2e/tonne crop)",null,null,null,null,{"$f":"IF(AND(D74=\"\",E74=\"\"),C74,SUM(D74:E74))","v":0}]
[]
[null,"IV. Retail"]
[]
[null,null,"Default values","User input"]
[null,"Store type","Supermarket (280 to 1400 m2)","Convenience store (<280 m2)"]
[null,"Temperature control","Chilled","Chilled"]
[]
[null,"Electricity consumption (kWh/tonne)",{"$f":"IF(C80=\"Ambient\",INDEX(RetailDefaultData[Electricity consumption - Ambient (kWh/m2)2],MATCH(C79,RetailDefaultData[Store Type],0)),INDEX(RetailDefaultData[Electricity consumption - Chilled (kWh/m2)22],MATCH(C79,RetailDefaultData[Store Type],0)))","v":650}]
[null,"Gas consumption (kWh/tonne)",0]
[]
[null,"Electricity consumption (kWh/m2)",{"$f":"C82","v":650},null,null,null,null,null,{"$f":"AVERAGE(RetailDefaultData[Electricity consumption (kWh/m2)])","v":1125},{"$f":"Retail!C32/$I$85","v":1.3155555555555556},{"$f":"Retail!D32/$I$86","v":1.6551724137931034}]
[null,"Gas consumption (kWh/m2)",0,null,null,null,null,null,{"$f":"AVERAGE(RetailDefaultData[Refrigeration (kWh/m2)])","v":536.5},{"$f":"Retail!C33/$I$85","v":1.1555555555555554},{"$f":"Retail!D33/$I$86","v":1.2115563839701771}]
[null,null,null,null,null,null,"Final value",null,null,{"$f":"Retail!C34/$I$85","v":0.81777777777777783},{"$f":"Retail!D34/$I$86","v":0.68592730661696177}]
[null,"Emissions per tonne (tCO2e/tonne crop)",null,null,null,null,{"$f":"IF(AND(D88=\"\",E88=\"\"),C88,SUM(D88:E88))","v":0},null,null,{"$f":"Retail!C35/$I$85","v":0.71111111111111114},{"$f":"Retail!D35/$I$86","v":0.44734389561975768}]
[]
[]
[]
[null,"IV. Landfill"]
[]
[null,null,"Default values","User input"]
[null,"Commodity losses going to landfill or thrown away (%)",0.56999999999999995,null,null,null,null,null,"Climate Zones","Landfill type"]
[null,"Landfill type",1,null,null,null,null,null,"Temperate, dry"]
[null,"Climate Zone",null,null,null,null,null,null,"Temperate, wet","Managed"]
[null,null,null,null,null,null,"Final value",null,"Tropical, dry","Unmanaged deep (> 5m)"]
[null,"Emissions per tonne (tCO2e/tonne crop)",{"$f":"INDEX(LandfillMethaneCorrectionFactors[Landfill CH4 Correction Factor],MATCH(country,LandfillMethaneCorrectionFactors[Country],0))","v":{"$error":"#REF!"}},null,null,null,{"$f":"IF(AND(D99=\"\",E99=\"\"),C99,SUM(D99:E99))","v":{"$error":"#REF!"}},null,"Tropical, wet","Unmanaged shallow (< 5m)"]
[null,null,null,null,null,null,null,null,null,"Uncategorised"]
[null,null,null,null,null,null,null,null,null,"Other productive use (compost, gas collection system, etc.)"]

{"sheet":"Cover page","index":2,"n_rows":10,"n_cols":2,"rows_kept":10,"cut":false,"hidden":false,"merged":[[8,1,8,7]]}
[]
[]
[]
[null,"FOOD LOSS AND WASTE IMPACT TOOL"]
[null," v3.0"]
[]
[]
[null,"Disclaimer"]
[null,"The purpose of this Toolkit is to provide information about and a method to estimate the Green House Gas (GHG) emissions associated with food loss for certain crops and countries. It also provides impact results on food security indicators based on the avoided food losses, as well as avoided resource use quantities. \n\nThe GHG estimates provided by the tool are indicative and based on simplified assumptions and calculations and should not be considered as an alternative to accurate GHG accounting or life cycle assessments.  While IFC believes that the information set forth in the Toolkit is accurate, it is provided on a strictly “as-is” basis, without assurance or representation of any kind.  IFC does not guarantee the accuracy, reliability or completeness of the content included in the Proposal, or for any conclusions or judgments described herein or that may be obtained from use of the Toolkit, and accepts no responsibility or liability for any omissions or errors (including, without limitation, typographical errors and technical errors) in the content whatsoever.  Nor shall IFC have any liability, express or implied, for any asserted reliance by any individual or entity on the content of the Toolkit in making any decisions with respect to its internal mechanisms, strategies or investment decisions. No person may rely on the content of the Toolkit as advice on compliance with any obligations that it may have under contract or otherwise, including with IFC.\n\nThe contents of the Toolkit and its use are intended solely for general informational purposes and are not intended to constitute legal, securities, or investment advice, an opinion regarding the appropriateness of any investment, or a solicitation of any type.  You should rely on your own legal, accounting and investment advisors for such advice and any investment made shall be regarded as on your own accord. References to IFC used in this disclaimer shall include IFC’s contractors, consultants and subcontractors who have been involved with the creation and publication of the Toolkit.\n"]
[null,"© International Finance Corporation 2025.  All rights reserved."]

{"sheet":"Interface","index":3,"n_rows":188,"n_cols":12,"rows_kept":188,"cut":false,"hidden":false,"merged":[[17,3,17,5],[7,1,7,3],[9,7,9,8],[49,1,49,6],[84,1,84,6],[18,3,18,5]]}
[]
[]
[null,"Color key","Cell Type","Description/Action"]
[null,"Mandatory information","Input cell","Manual entry required"]
[null,"Optional information","Input cell","Manual entry optional"]
[null,"Non-editable Cell","Non-editable cell","Non-editable cell"]
[]
[null,"The interface includes 2 sections:\n- Section 1 on general information (mandatory to fill in where relevant)\n- Section 2 with the advanced inputs (optional)\n\nThe results from the intervention projects and related indicators are shown in the tab Impact Results.\nWhen more than one intervention project is indicated below, the tool calculates the impact results of each project separately in terms of avoided food loss quantities and corresponding avoided emissions.\nPlease note that Macros and ActiveX need to be enabled for the tool to work."]
[]
[null,"Section 1 - General information",null,null,"          << Reset Data button will delete all user inputs in this worksheet"]
[]
[null,"Do the supply chain stages happen in more than one country?*","Yes"]
[null,"Country of improvement intervention(s)*"]
[]
[null,"Commodity*"]
[null,"Production Type (animal protein only)*"]
[]
[null,null,null,"For intervention project results to show, both the amount and food loss rate after the project need to be filled in for each of the relevant intervention stage(s).\nAmounts and food loss rates for stage(s) where there are no intervention can be left blank."]
[null,null,null,"Do not drag the cells below, please fill them in individually."]
[null,"Supply Chain Stages","Country*\n(please indicate the country when known for each stage below)","Commodity amount after the improvement project (tonnes)*","Food loss rate before the project (%)","Food loss rate after the project (%)*","Select main improvement (crops-only) - Optional","Select main improvement (animal protein-only) - Optional","Other improvements - Optional","Is there an intervention at this stage?","Is this the last intervention stage?"]
[null,"Production (post-harvest)",null,null,null,null,"drop-down","drop-down",null,{"$f":"IF(OR(COUNTBLANK(farmAmountAfter)=1,OR(COUNTBLANK(farmLossAfter)=1)),\nFALSE,TRUE)","v":false},{"$f":"B21=LOOKUP(2,1/($J$21:$J$29=TRUE),$B$21:$B$29)","v":{"$error":"#N/A"}},{"$f":"firstCountry","v":{"$error":"#N/A"}}]
[null,"Transport 1",{"$f":"IF(multipleCountrySelector=\"Yes\",_xlfn.IFNA('Country-selector'!D22,\"\"),\"\")","v":""},null,null,null,"drop-down","drop-down",null,{"$f":"IF(OR(COUNTBLANK(transportAmountAfter)=1,OR(COUNTBLANK(transportLossAfter)=1)),\nFALSE,TRUE)","v":false},{"$f":"B22=LOOKUP(2,1/($J$21:$J$29=TRUE),$B$21:$B$29)","v":{"$error":"#N/A"}},{"$f":"commodityGroup","v":""}]
[null,"Storage 1 (pre-processing)",null,null,null,null,"drop-down","drop-down",null,{"$f":"IF(OR(COUNTBLANK(storage1AmountAfter)=1,OR(COUNTBLANK(storage1LossAfter)=1)),\nFALSE,TRUE)","v":false},{"$f":"B23=LOOKUP(2,1/($J$21:$J$29=TRUE),$B$21:$B$29)","v":{"$error":"#N/A"}}]
[null,"Transport 2",{"$f":"IF(multipleCountrySelector=\"Yes\",_xlfn.IFNA('Country-selector'!D24,\"\"),\"\")","v":""},null,null,null,"drop-down","drop-down",null,{"$f":"IF(OR(COUNTBLANK(transport2AmountAfter)=1,OR(COUNTBLANK(transport2LossAfter)=1)),\nFALSE,TRUE)","v":false},{"$f":"B24=LOOKUP(2,1/($J$21:$J$29=TRUE),$B$21:$B$29)","v":{"$error":"#N/A"}}]
[null,"Processing",null,null,null,null,"drop-down","drop-down",null,{"$f":"IF(OR(COUNTBLANK(processingAmountAfter)=1,OR(COUNTBLANK(processingLossAfter)=1)),\nFALSE,TRUE)","v":false},{"$f":"B25=LOOKUP(2,1/($J$21:$J$29=TRUE),$B$21:$B$29)","v":{"$error":"#N/A"}}]
[null,"Transport 3",{"$f":"IF(multipleCountrySelector=\"Yes\",_xlfn.IFNA('Country-selector'!D26,\"\"),\"\")","v":""},null,null,null,"drop-down","drop-down",null,{"$f":"IF(OR(COUNTBLANK(transport3AmountAfter)=1,OR(COUNTBLANK(transport3LossAfter)=1)),\nFALSE,TRUE)","v":false},{"$f":"B26=LOOKUP(2,1/($J$21:$J$29=TRUE),$B$21:$B$29)","v":{"$error":"#N/A"}}]
[null,"Storage 2 (pre-retail)",null,null,null,null,"drop-down","drop-down",null,{"$f":"IF(OR(COUNTBLANK(storage2AmountAfter)=1,OR(COUNTBLANK(storage2LossAfter)=1)),\nFALSE,TRUE)","v":false},{"$f":"B27=LOOKUP(2,1/($J$21:$J$29=TRUE),$B$21:$B$29)","v":{"$error":"#N/A"}}]
[null,"Transport 4",{"$f":"IF(multipleCountrySelector=\"Yes\",_xlfn.IFNA('Country-selector'!D28,\"\"),\"\")","v":""},null,null,null,"drop-down","drop-down",null,{"$f":"IF(OR(COUNTBLANK(transport4AmountAfter)=1,OR(COUNTBLANK(transport4LossAfter)=1)),\nFALSE,TRUE)","v":false},{"$f":"B28=LOOKUP(2,1/($J$21:$J$29=TRUE),$B$21:$B$29)","v":{"$error":"#N/A"}}]
[null,"Retail",null,null,null,null,"drop-down","drop-down",null,{"$f":"IF(OR(COUNTBLANK(retailAmountAfter)=1,OR(COUNTBLANK(retailLossAfter)=1)),\nFALSE,TRUE)","v":false},{"$f":"B29=LOOKUP(2,1/($J$21:$J$29=TRUE),$B$21:$B$29)","v":{"$error":"#N/A"}}]
[null,null,null,null,{"$f":"IF(ISNUMBER(MATCH(commodity,NoLR[Food Loss Rate not available],0)),\"^ Mandatory input (default food loss data not available for this commodity).\",\"^ Recommended input. If data is not available, leave blank.\")","v":"^ Recommended input. If data is not available, leave blank."}]
[]
[null,"In cell range D21-D29, have the food loss quantities been subtracted from the reported commodity amount?*","Yes"]
[]
[null,"Commodity Price - optional",null,"USD/t"]
[]
[null,"Advanced Inputs (Optional)"]
[null,"Advanced Production (post-harvest) Enter inputs for A or B below, do not fill in both."]
[]
[null,"A) Emission factor"]
[null,"Emissions per tonne",null,"tCO2e/tonne"]
[null,"% of CO2e coming from CH4"]
[null,"% of CO2e coming from N2O"]
[]
[null,"B) Synthetic Fertilizer"]
[null,"Nitrogen applied as synthetic fertilizer",null,"kg"]
[null,"Unit of measurement for nitrogen"]
[null,"Yield per hectare",null,"tonnes/hectare"]
[]
[]
[null,"Advanced Storage 1 (pre-processing) - Enter inputs for A, B, or C below, do not fill in all."]
[]
[null,"A) Emission factor"]
[null,"Emissions per tonne",null,"tCO2e/tonne commodity"]
[]
[null,"B) Temperature control"]
[null,"Is any dedicated storage temperature controlled (chilled)?"]
[]
[null,"C) Storage time and energy consumption"]
[null,"Time in Storage",null,"days"]
[null,"Electricity consumption",null,"kWh/day/tonne"]
[null,"Natural gas consumption",null,"kWh/day/tonne"]
[]
[null,"Advanced Processing - Enter inputs for A or B below, do not fill in both."]
[]
[null,"A) Emission factor"]
[null,"Emissions per tonne",null,"tCO2e/tonne commodity"]
[]
[null,"B) Energy consumption"]
[null,"Electricity consumption",null,"kWh/tonne"]
[null,"Natural gas consumption",null,"kWh/tonne"]
[]
[null,"Advanced Storage 2 (post-processing) - Enter inputs for A, B, or C below, do not fill in all."]
[]
[null,"A) Emission factor"]
[null,"Emissions per tonne",null,"tCO2e/tonne commodity"]
[]
[null,"B) Temperature control"]
[null,"Is any dedicated storage temperature controlled (chilled)?"]
[]
[null,"C) Storage time and energy consumption"]
[null,"Time in Storage",null,"days"]
[null,"Electricity consumption",null,"kWh/day/tonne"]
[null,"Natural gas consumption",null,"kWh/day/tonne"]
[]
[null,"Advanced Retail - Enter inputs for A or B below, do not fill in both."]
[]
[null,"A) Emission factor"]
[null,"Emissions per tonne",null,"tCO2e/tonne commodity"]
[]
[null,"B) Store type"]
[null,"Store type"]
[]
[null,"Advanced Food loss destination - Enter inputs for A or B below, do not fill in both."]
[]
[null,null,null,null,"A) Emission factor",null,"B) Food loss destination and climate"]
[null,null,"Food losses going to landfill or thrown away along the supply chain (%)",null,"Emissions per tonne of commodity going to landfill (tCO2e/tonne commodity)",null,"Food Loss destination type","Climate Zone"]
[null,"Production (post-harvest)"]
[null,"Transport 1"]
[null,"Storage 1 (pre-processing)"]
[null,"Transport 2"]
[null,"Processing"]
[null,"Transport 3"]
[null,"Storage 2 (pre-retail)"]
[null,"Transport 4",null,null,null,null,null,"Temperate, dry"]
[null,"Retail"]
[]
[]
[null,"Advanced Transport  - For each stage, enter the distance and enter inputs for either A (emission factor) or B (transportation mode) - do not fill in both options."]
[]
[null,{"$f":"IF('Country-selector'!C32=\"\",\"\",_xlfn.CONCAT(\"Transport 1: Production to \",D114))","v":"Transport 1: Production to "}]
[]
[null,null,"Country","Supply Chain Stages"]
[null,"Origin 🔒",{"$f":"_xlfn.IFNA(IF('Country-selector'!C32=\"\",\"\",INDEX('Country-selector'!$F$22:$F$28,MATCH(\"Transport 1\",'Country-selector'!$E$22:$E$28,0))),\"\")","v":""},{"$f":"IF('Country-selector'!C32=\"\",\"\",INDEX('Country-selector'!$G$22:$G$28,MATCH(\"Transport 1\",'Country-selector'!$E$22:$E$28,0)))","v":"Production (post-harvest)"}]
[null,"Destination 🔒",{"$f":"_xlfn.IFNA(IF('Country-selector'!C32=\"\",\"\",INDEX('Country-selector'!$H$22:$H$28,MATCH(\"Transport 1\",'Country-selector'!$E$22:$E$28,0))),\"\")","v":""},{"$f":"_xlfn.IFNA(IF('Country-selector'!C32=\"\",\"\",INDEX('Country-selector'!$I$22:$I$28,MATCH(\"Transport 1\",'Country-selector'!$E$22:$E$28,0))),\"\")","v":""}]
[]
[null,null,{"$f":"IF(C113=C114,\"Within country\",\"Within origin country\")","v":"Within country"},"Between countries","Within destination country"]
[null,"Distance (km)"]
[]
[null,"A) Emission factor"]
[null,"Emissions factor type"]
[null,"Emissions factor value"]
[]
[null,"B) Transportation mode"]
[null,"Transport mode"]
[null,"Fuel type"]
[null,"Category"]
[null,"Temperature control"]
[null,"Road conditions"]
[]
[null,{"$f":"IF('Country-selector'!C32=\"\",\"\",\nIF('Country-selector'!C32>1,_xlfn.CONCAT(\"Transport 2: \",D133,\" to \",D134,),\"\"))","v":""}]
[]
[null,null,"Country","Supply Chain Stages"]
[null,"Origin 🔒",{"$f":"_xlfn.IFNA(INDEX('Country-selector'!$F$22:$F$28,MATCH(\"Transport 2\",'Country-selector'!$E$22:$E$28,0)),\"\")","v":""},{"$f":"_xlfn.IFNA(INDEX('Country-selector'!$G$22:$G$28,MATCH(\"Transport 2\",'Country-selector'!$E$22:$E$28,0)),\"\")","v":""}]
[null,"Destination 🔒",{"$f":"_xlfn.IFNA(INDEX('Country-selector'!$H$22:$H$28,MATCH(\"Transport 2\",'Country-selector'!$E$22:$E$28,0)),\"\")","v":""},{"$f":"_xlfn.IFNA(INDEX('Country-selector'!$I$22:$I$28,MATCH(\"Transport 2\",'Country-selector'!$E$22:$E$28,0)),\"\")","v":""}]
[]
[null,null,{"$f":"IF(C133=C134,\"Within country\",\"Within origin country\")","v":"Within country"},"Between countries","Within destination country"]
[null,"Distance (km)"]
[]
[null,"A) Emission factor"]
[null,"Emissions factor type"]
[null,"Emissions factor value"]
[]
[null,"B) Transportation mode"]
[null,"Transport mode"]
[null,"Fuel type"]
[null,"Category"]
[null,"Temperature control"]
[null,"Road conditions"]
[]
[null,{"$f":"IF('Country-selector'!C32=\"\",\"\",\nIF('Country-selector'!C32>2,_xlfn.CONCAT(\"Transport 3: \",D153,\" to \",D154),\"\"))","v":""}]
[]
[null,null,"Country","Supply Chain Stages"]
[null,"Origin 🔒",{"$f":"_xlfn.IFNA(INDEX('Country-selector'!$F$22:$F$28,MATCH(\"Transport 3\",'Country-selector'!$E$22:$E$28,0)),\"\")","v":""},{"$f":"_xlfn.IFNA(INDEX('Country-selector'!$G$22:$G$28,MATCH(\"Transport 3\",'Country-selector'!$E$22:$E$28,0)),\"\")","v":""}]
[null,"Destination 🔒",{"$f":"_xlfn.IFNA(INDEX('Country-selector'!$H$22:$H$28,MATCH(\"Transport 3\",'Country-selector'!$E$22:$E$28,0)),\"\")","v":""},{"$f":"_xlfn.IFNA(INDEX('Country-selector'!$I$22:$I$28,MATCH(\"Transport 3\",'Country-selector'!$E$22:$E$28,0)),\"\")","v":""}]
[]
[null,null,{"$f":"IF(C153=C154,\"Within country\",\"Within origin country\")","v":"Within country"},"Between countries","Within destination country"]
[null,"Distance (km)"]
[]
[null,"A) Emission factor"]
[null,"Emissions factor type"]
[null,"Emissions factor value"]
[]
[null,"B) Transportation mode"]
[null,"Transport mode"]
[null,"Fuel type"]
[null,"Category"]
[null,"Temperature control"]
[null,"Road conditions"]
[]
[null,{"$f":"IF('Country-selector'!C32=\"\",\"\",\nIF('Country-selector'!C32>3,_xlfn.CONCAT(\"Transport 4: \",D173,\" to \",D174),\"\"))","v":""}]
[]
[null,null,"Country","Supply Chain Stages"]
[null,"Origin 🔒",{"$f":"_xlfn.IFNA(INDEX('Country-selector'!$F$22:$F$28,MATCH(\"Transport 4\",'Country-selector'!$E$22:$E$28,0)),\"\")","v":""},{"$f":"_xlfn.IFNA(INDEX('Country-selector'!$G$22:$G$28,MATCH(\"Transport 4\",'Country-selector'!$E$22:$E$28,0)),\"\")","v":""}]
[null,"Destination 🔒",{"$f":"_xlfn.IFNA(INDEX('Country-selector'!$H$22:$H$28,MATCH(\"Transport 4\",'Country-selector'!$E$22:$E$28,0)),\"\")","v":""},{"$f":"_xlfn.IFNA(INDEX('Country-selector'!$I$22:$I$28,MATCH(\"Transport 4\",'Country-selector'!$E$22:$E$28,0)),\"\")","v":""}]
[]
[null,null,{"$f":"IF(C173=C174,\"Within country\",\"Within origin country\")","v":"Within country"},"Between countries","Within destination country"]
[null,"Distance (km)"]
[]
[null,"A) Emission factor"]
[null,"Emissions factor type"]
[null,"Emissions factor value"]
[]
[null,"B) Transportation mode"]
[null,"Transport mode"]
[null,"Fuel type"]
[null,"Category"]
[null,"Temperature control"]
[null,"Road conditions"]

{"sheet":"Impact Results","index":4,"n_rows":176,"n_cols":11,"rows_kept":176,"cut":false,"hidden":false,"merged":[[164,1,164,4],[117,1,121,1],[122,1,125,1],[126,1,128,1],[143,1,147,1],[5,5,6,5],[5,4,6,4],[5,3,6,3],[5,2,6,2],[5,6,5,8]]}
[]
[]
[null,"Impact Results"]
[null,"A. Summary"]
[]
[null,null,"Country","Avoided food losses at each intervention stage (tonnes)","Food loss rate reduction (%)","Total GhG emissions saved (tCO2e)","Total emissions disaggregated by GHG (tCO2e)"]
[null,null,null,null,null,null,"Carbon Dioxide (CO2) Emissions saved ","Methane (CH4) Emissions saved","Nitrous Oxide (N2O) emissions saved",null,"Additional comments:"]
[null,"Production (post-harvest)",{"$f":"INDEX('Country-selector'!$C$21:$C$29,MATCH(B8,'Country-selector'!$B$21:$B$29,0))","v":{"$error":"#N/A"}},{"$f":"IF('GHG Results'!D10=0,\"\",IFERROR('GHG Results'!D10,\"\"))","v":""},{"$f":"IF(Interface!J21=FALSE,\"\",IFERROR('GHG Results'!D25,0))","v":""},{"$f":"IF(D8=\"\",\"\",\nIF(Interface!J21=FALSE,\"\",IFERROR('GHG Results'!D39,\"\")))","v":""},{"$f":"IFERROR(F8-SUM('GHG Results'!D42:D43),\"\")","v":""},{"$f":"IF(D8=\"\",\"\",IF(Interface!J21=FALSE,\"\",IFERROR('GHG Results'!D42,\"\")))","v":""},{"$f":"IF(D8=\"\",\"\",IF(Interface!J21=FALSE,\"\",IFERROR('GHG Results'!D43,\"\")))","v":""},null,{"$f":"IF(productionSelector=FALSE,\"\",\nIFERROR(IF(AND(requireBeforeLossData=TRUE,farmLossBefore=\"\"),\"Loss rate baseline for \"&commodity&\" not available. Please provide the food loss rate before the project.\",\nIF('GHG Results'!D23<'GHG Results'!D14,\nIF(farmLossBefore=\"\",\"The results above are calculated using \"&'GHG Results'!D$15&\" as a baseline rate for food loss before the project, and might not be reflective of site-specific conditions. Please provide the actual food loss rate prior to implementing the project to improve the accuracy of this result.\",\"The results above are calculated using food loss rates reported by the user.\"),\nIF('GHG Results'!D23='GHG Results'!D14,\"Food loss rates before and after the project are the same, hence there is no avoided food losses quantities and emissions.\",\n\"The loss rate before the project (estimated from the \"&'GHG Results'!D$15&\") is lower than the loss rate reported after the project, and it is therefore not possible to calculate emission savings. Please provide the actual food loss rate prior to implementing the project to improve the accuracy of this result.\"))),\"Invalid data provided, please check your inputs\"))","v":""}]
[null,"Transport 1",{"$f":"_xlfn.CONCAT(C8,\" to \",C10)","v":{"$error":"#N/A"}},{"$f":"IF('GHG Results'!E10=0,\"\",IFERROR('GHG Results'!E10,\"\"))","v":""},{"$f":"IF(Interface!J22=FALSE,\"\",IFERROR('GHG Results'!E25,0))","v":""},{"$f":"IF(D9=\"\",\"\",\nIF(Interface!J22=FALSE,\"\",IFERROR('GHG Results'!E39,\"\")))","v":""},{"$f":"IFERROR(F9-SUM('GHG Results'!E42:E43),\"\")","v":""},{"$f":"IF(D9=\"\",\"\",IF(Interface!J22=FALSE,\"\",IFERROR('GHG Results'!E42,\"\")))","v":""},{"$f":"IF(D9=\"\",\"\",IF(Interface!J22=FALSE,\"\",IFERROR('GHG Results'!E43,\"\")))","v":""},null,{"$f":"IF(transport1Selector=FALSE,\"\",\nIFERROR(IF(AND(requireBeforeLossData=TRUE,transportLossBefore=\"\"),\"Loss rate baseline for \"&commodity&\" not available. Please provide the food loss rate before the project.\",\nIF('GHG Results'!E23<'GHG Results'!E14,\nIF(transportLossBefore=\"\",\"The results above are calculated using \"&'GHG Results'!E$15&\" as a baseline rate for food loss before the project, and might not be reflective of site-specific conditions. Please provide the actual food loss rate prior to implementing the project to improve the accuracy of this result.\",\"The results above are calculated using food loss rates reported by the user.\"),\nIF('GHG Results'!E23='GHG Results'!E14,\"Food loss rates before and after the project are the same, hence there is no avoided food losses quantities and emissions.\",\n\"The loss rate before the project (estimated from the \"&'GHG Results'!E$15&\") is lower than the loss rate reported after the project, and it is therefore not possible to calculate emission savings. Please provide the actual food loss rate prior to implementing the project to improve the accuracy of this result.\"))),\"Invalid data provided, please check your inputs\"))","v":""}]
[null,"Storage 1 (pre-processing)",{"$f":"INDEX('Country-selector'!$C$21:$C$29,MATCH(B10,'Country-selector'!$B$21:$B$29,0))","v":{"$error":"#N/A"}},{"$f":"IF('GHG Results'!F10=0,\"\",IFERROR('GHG Results'!F10,\"\"))","v":""},{"$f":"IF(Interface!J23=FALSE,\"\",IFERROR('GHG Results'!F25,0))","v":""},{"$f":"IF(D10=\"\",\"\",\nIF(Interface!J23=FALSE,\"\",IFERROR('GHG Results'!F39,\"\")))","v":""},{"$f":"IFERROR(F10-SUM('GHG Results'!F42:F43),\"\")","v":""},{"$f":"IF(D10=\"\",\"\",\nIF(Interface!J23=FALSE,\"\",IFERROR('GHG Results'!F42,\"\")))","v":""},{"$f":"IF(D10=\"\",\"\",\nIF(Interface!J23=FALSE,\"\",IFERROR('GHG Results'!F43,\"\")))","v":""},null,{"$f":"IF(storage1Selector=FALSE,\"\",\nIFERROR(IF(AND(requireBeforeLossData=TRUE,storage1LossBefore=\"\"),\"Loss rate baseline for \"&commodity&\" not available. Please provide the food loss rate before the project.\",\nIF('GHG Results'!F23<'GHG Results'!F14,\nIF(storage1LossBefore=\"\",\"The results above are calculated using \"&'GHG Results'!F$15&\" as a baseline rate for food loss before the project, and might not be reflective of site-specific conditions. Please provide the actual food loss rate prior to implementing the project to improve the accuracy of this result.\",\"The results above are calculated using food loss rates reported by the user.\"),\nIF('GHG Results'!F23='GHG Results'!F14,\"Food loss rates before and after the project are the same, hence there is no avoided food losses quantities and emissions.\",\n\"The loss rate before the project (estimated from the \"&'GHG Results'!F$15&\") is lower than the loss rate reported after the project, and it is therefore not possible to calculate emission savings. Please provide the actual food loss rate prior to implementing the project to improve the accuracy of this result.\"))),\"Invalid data provided, please check your inputs\"))","v":""}]
[null,"Transport 2",{"$f":"_xlfn.CONCAT(C10,\" to \",C12)","v":{"$error":"#N/A"}},{"$f":"IF('GHG Results'!G10=0,\"\",IFERROR('GHG Results'!G10,\"\"))","v":""},{"$f":"IF(Interface!J24=FALSE,\"\",IFERROR('GHG Results'!G25,0))","v":""},{"$f":"IF(D11=\"\",\"\",\nIF(Interface!J24=FALSE,\"\",IFERROR('GHG Results'!G39,\"\")))","v":""},{"$f":"IFERROR(F11-SUM('GHG Results'!G42:G43),\"\")","v":""},{"$f":"IF(D11=\"\",\"\",\nIF(Interface!J24=FALSE,\"\",IFERROR('GHG Results'!G42,\"\")))","v":""},{"$f":"IF(D11=\"\",\"\",\nIF(Interface!J24=FALSE,\"\",IFERROR('GHG Results'!G43,\"\")))","v":""},null,{"$f":"IF(transport2Selector=FALSE,\"\",\nIFERROR(IF(AND(requireBeforeLossData=TRUE,transport2LossBefore=\"\"),\"Loss rate baseline for \"&commodity&\" not available. Please provide the food loss rate before the project.\",\nIF('GHG Results'!G23<'GHG Results'!G14,\nIF(transport2LossBefore=\"\",\"The results above are calculated using \"&'GHG Results'!G$15&\" as a baseline rate for food loss before the project, and might not be reflective of site-specific conditions. Please provide the actual food loss rate prior to implementing the project to improve the accuracy of this result.\",\"The results above are calculated using food loss rates reported by the user.\"),\nIF('GHG Results'!G23='GHG Results'!G14,\"Food loss rates before and after the project are the same, hence there is no avoided food losses quantities and emissions.\",\n\"The loss rate before the project (estimated from the \"&'GHG Results'!G$15&\") is lower than the loss rate reported after the project, and it is therefore not possible to calculate emission savings. Please provide the actual food loss rate prior to implementing the project to improve the accuracy of this result.\"))),\"Invalid data provided, please check your inputs\"))","v":""}]
[null,"Processing",{"$f":"INDEX('Country-selector'!$C$21:$C$29,MATCH(B12,'Country-selector'!$B$21:$B$29,0))","v":{"$error":"#N/A"}},{"$f":"IF('GHG Results'!H10=0,\"\",IFERROR('GHG Results'!H10,\"\"))","v":""},{"$f":"IF(Interface!J25=FALSE,\"\",IFERROR('GHG Results'!H25,0))","v":""},{"$f":"IF(D12=\"\",\"\",\nIF(Interface!J25=FALSE,\"\",IFERROR('GHG Results'!H39,\"\")))","v":""},{"$f":"IFERROR(F12-SUM('GHG Results'!H42:H43),\"\")","v":""},{"$f":"IF(D12=\"\",\"\",\nIF(Interface!J25=FALSE,\"\",IFERROR('GHG Results'!H42,\"\")))","v":""},{"$f":"IF(D12=\"\",\"\",\nIF(Interface!J25=FALSE,\"\",IFERROR('GHG Results'!H43,\"\")))","v":""},null,{"$f":"IF(processingSelector=FALSE,\"\",\nIFERROR(IF(AND(requireBeforeLossData=TRUE,processingLossBefore=\"\"),\"Loss rate baseline for \"&commodity&\" not available. Please provide the food loss rate before the project.\",\nIF('GHG Results'!H23<'GHG Results'!H14,\nIF(processingLossBefore=\"\",\"The results above are calculated using \"&'GHG Results'!H$15&\" as a baseline rate for food loss before the project, and might not be reflective of site-specific conditions. Please provide the actual food loss rate prior to implementing the project to improve the accuracy of this result.\",\"The results above are calculated using food loss rates reported by the user.\"),\nIF('GHG Results'!H23='GHG Results'!H14,\"Food loss rates before and after the project are the same, hence there is no avoided food losses quantities and emissions.\",\n\"The loss rate before the project (estimated from the \"&'GHG Results'!H$15&\") is lower than the loss rate reported after the project, and it is therefore not possible to calculate emission savings. Please provide the actual food loss rate prior to implementing the project to improve the accuracy of this result.\"))),\"Invalid data provided, please check your inputs\"))","v":""}]
[null,"Transport 3",{"$f":"_xlfn.CONCAT(C12,\" to \",C14)","v":{"$error":"#N/A"}},{"$f":"IF('GHG Results'!I10=0,\"\",IFERROR('GHG Results'!I10,\"\"))","v":""},{"$f":"IF(Interface!J26=FALSE,\"\",IFERROR('GHG Results'!I25,0))","v":""},{"$f":"IF(D13=\"\",\"\",\nIF(Interface!J26=FALSE,\"\",IFERROR('GHG Results'!I39,\"\")))","v":""},{"$f":"IFERROR(F13-SUM('GHG Results'!I42:I43),\"\")","v":""},{"$f":"IF(D13=\"\",\"\",\nIF(Interface!J26=FALSE,\"\",IFERROR('GHG Results'!I42,\"\")))","v":""},{"$f":"IF(D13=\"\",\"\",\nIF(Interface!J26=FALSE,\"\",IFERROR('GHG Results'!I43,\"\")))","v":""},null,{"$f":"IF(transport3Selector=FALSE,\"\",\nIFERROR(IF(AND(requireBeforeLossData=TRUE,transport3LossBefore=\"\"),\"Loss rate baseline for \"&commodity&\" not available. Please provide the food loss rate before the project.\",\nIF('GHG Results'!I23<'GHG Results'!I14,\nIF(transport3LossBefore=\"\",\"The results above are calculated using \"&'GHG Results'!I$15&\" as a baseline rate for food loss before the project, and might not be reflective of site-specific conditions. Please provide the actual food loss rate prior to implementing the project to improve the accuracy of this result.\",\"The results above are calculated using food loss rates reported by the user.\"),\nIF('GHG Results'!I23='GHG Results'!I14,\"Food loss rates before and after the project are the same, hence there is no avoided food losses quantities and emissions.\",\n\"The loss rate before the project (estimated from the \"&'GHG Results'!I$15&\") is lower than the loss rate reported after the project, and it is therefore not possible to calculate emission savings. Please provide the actual food loss rate prior to implementing the project to improve the accuracy of this result.\"))),\"Invalid data provided, please check your inputs\"))","v":""}]
[null,"Storage 2 (pre-retail)",{"$f":"INDEX('Country-selector'!$C$21:$C$29,MATCH(B14,'Country-selector'!$B$21:$B$29,0))","v":{"$error":"#N/A"}},{"$f":"IF('GHG Results'!J10=0,\"\",IFERROR('GHG Results'!J10,\"\"))","v":""},{"$f":"IF(Interface!J27=FALSE,\"\",IFERROR('GHG Results'!J25,0))","v":""},{"$f":"IF(D14=\"\",\"\",\nIF(Interface!J27=FALSE,\"\",IFERROR('GHG Results'!J39,\"\")))","v":""},{"$f":"IFERROR(F14-SUM('GHG Results'!J42:J43),\"\")","v":""},{"$f":"IF(D14=\"\",\"\",\nIF(Interface!J27=FALSE,\"\",IFERROR('GHG Results'!J42,\"\")))","v":""},{"$f":"IF(D14=\"\",\"\",\nIF(Interface!J27=FALSE,\"\",IFERROR('GHG Results'!J43,\"\")))","v":""},null,{"$f":"IF(storage2Selector=FALSE,\"\",\nIFERROR(IF(AND(requireBeforeLossData=TRUE,storage2LossBefore=\"\"),\"Loss rate baseline for \"&commodity&\" not available. Please provide the food loss rate before the project.\",\nIF('GHG Results'!J23<'GHG Results'!J14,\nIF(storage2LossBefore=\"\",\"The results above are calculated using \"&'GHG Results'!J$15&\" as a baseline rate for food loss before the project, and might not be reflective of site-specific conditions. Please provide the actual food loss rate prior to implementing the project to improve the accuracy of this result.\",\"The results above are calculated using food loss rates reported by the user.\"),\nIF('GHG Results'!J23='GHG Results'!J14,\"Food loss rates before and after the project are the same, hence there is no avoided food losses quantities and emissions.\",\n\"The loss rate before the project (estimated from the \"&'GHG Results'!J$15&\") is lower than the loss rate reported after the project, and it is therefore not possible to calculate emission savings. Please provide the actual food loss rate prior to implementing the project to improve the accuracy of this result.\"))),\"Invalid data provided, please check your inputs\"))","v":""}]
[null,"Transport 4",{"$f":"_xlfn.CONCAT(C14,\" to \",C16)","v":{"$error":"#N/A"}},{"$f":"IF('GHG Results'!K10=0,\"\",IFERROR('GHG Results'!K10,\"\"))","v":""},{"$f":"IF(Interface!J28=FALSE,\"\",IFERROR('GHG Results'!K25,0))","v":""},{"$f":"IF(D15=\"\",\"\",\nIF(Interface!J28=FALSE,\"\",IFERROR('GHG Results'!K39,\"\")))","v":""},{"$f":"IFERROR(F15-SUM('GHG Results'!K42:K43),\"\")","v":""},{"$f":"IF(D15=\"\",\"\",\nIF(Interface!J28=FALSE,\"\",IFERROR('GHG Results'!K42,\"\")))","v":""},{"$f":"IF(D15=\"\",\"\",\nIF(Interface!J28=FALSE,\"\",IFERROR('GHG Results'!K43,\"\")))","v":""},null,{"$f":"IF(transport4Selector=FALSE,\"\",\nIFERROR(IF(AND(requireBeforeLossData=TRUE,transport4LossBefore=\"\"),\"Loss rate baseline for \"&commodity&\" not available. Please provide the food loss rate before the project.\",\nIF('GHG Results'!K23<'GHG Results'!K14,\nIF(transport4LossBefore=\"\",\"The results above are calculated using \"&'GHG Results'!K$15&\" as a baseline rate for food loss before the project, and might not be reflective of site-specific conditions. Please provide the actual food loss rate prior to implementing the project to improve the accuracy of this result.\",\"The results above are calculated using food loss rates reported by the user.\"),\nIF('GHG Results'!K23='GHG Results'!K14,\"Food loss rates before and after the project are the same, hence there is no avoided food losses quantities and emissions.\",\n\"The loss rate before the project (estimated from the \"&'GHG Results'!K$15&\") is lower than the loss rate reported after the project, and it is therefore not possible to calculate emission savings. Please provide the actual food loss rate prior to implementing the project to improve the accuracy of this result.\"))),\"Invalid data provided, please check your inputs\"))","v":""}]
[null,"Retail",{"$f":"INDEX('Country-selector'!$C$21:$C$29,MATCH(B16,'Country-selector'!$B$21:$B$29,0))","v":{"$error":"#N/A"}},{"$f":"IF('GHG Results'!L10=0,\"\",IFERROR('GHG Results'!L10,\"\"))","v":""},{"$f":"IF(Interface!J29=FALSE,\"\",IFERROR('GHG Results'!L25,0))","v":""},{"$f":"IF(D16=\"\",\"\",\nIF(Interface!J29=FALSE,\"\",IFERROR('GHG Results'!L39,\"\")))","v":""},{"$f":"IFERROR(F16-SUM('GHG Results'!L42:L43),\"\")","v":""},{"$f":"IF(D16=\"\",\"\",\nIF(Interface!J29=FALSE,\"\",IFERROR('GHG Results'!L42,\"\")))","v":""},{"$f":"IF(D16=\"\",\"\",\nIF(Interface!J29=FALSE,\"\",IFERROR('GHG Results'!L43,\"\")))","v":""},null,{"$f":"IF(retailSelector=FALSE,\"\",\nIFERROR(IF(AND(requireBeforeLossData=TRUE,retailLossBefore=\"\"),\"Loss rate baseline for \"&commodity&\" not available. Please provide the food loss rate before the project.\",\nIF('GHG Results'!L23<'GHG Results'!L14,\nIF(retailLossBefore=\"\",\"The results above are calculated using \"&'GHG Results'!L$15&\" as a baseline rate for food loss before the project, and might not be reflective of site-specific conditions. Please provide the actual food loss rate prior to implementing the project to improve the accuracy of this result.\",\"The results above are calculated using food loss rates reported by the user.\"),\nIF('GHG Results'!L23='GHG Results'!L14,\"Food loss rates before and after the project are the same, hence there is no avoided food losses quantities and emissions.\",\n\"The loss rate before the project (estimated from the \"&'GHG Results'!L$15&\") is lower than the loss rate reported after the project, and it is therefore not possible to calculate emission savings. Please provide the actual food loss rate prior to implementing the project to improve the accuracy of this result.\"))),\"Invalid data provided, please check your inputs\"))","v":""}]
[]
[null,"Total",null,{"$f":"SUM(D8:D16)","v":0},null,{"$f":"SUM(F8:F16)","v":0},{"$f":"SUM(G8:G16)","v":0},{"$f":"SUM(H8:H16)","v":0},{"$f":"SUM(I8:I16)","v":0}]
[]
[]
[null,"Cumulative financial savings",{"$f":"IFERROR(price*SUM(D8:D16),0)","v":0},"USD"]
[null,"Total avoided emissions from landfill (tCO2e)",{"$f":"IFERROR(SUM('GHG Results'!D37:L37),\"\")","v":0},"tCO2e"]
[]
[null,"B. Charts"]
[]
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[null,"Impact Indicators - Food security, resources use and broader environmental impact"]
[null,"A. Food security impacts and indicators"]
[]
[null,null,"Commodity",{"$f":"commodity","v":0}]
[null,null,"Avoided losses",{"$f":"SUM(D8:D16)","v":0},"tonne(s)"]
[null,null,"Corresponding calories quantity",{"$f":"'FS-output'!C7","v":{"$error":"#N/A"}},"kcal"]
[null,null,"Corresponding protein quantity",{"$f":"'FS-output'!C8","v":{"$error":"#N/A"}},"g"]
[]
[null,null,"Default caloric requirements",{"$f":"'FS-output'!D12","v":2000},"kcal/person/day"]
[null,null,"Default protein requirement",{"$f":"'FS-output'!D13","v":50},"g/person/day"]
[]
[null,"Advanced Inputs (Optional)"]
[null,null,"Enter specific caloric and / or protein requirement to over-ride default data"]
[null,null,"Caloric requirement",null,"kcal/person/day"]
[null,null,"Protein requirement",null,"g/person/day"]
[]
[null,"Indicator - Number of people fed equivalent per day"]
[null,null,"The quantity of avoided food losses corresponds to the following number of people with their energy needs met:"]
[null,null,"Population group","Type","Number of people fed equivalent per day"]
[null,null,"Adult","Calories",{"$f":"IF('FS-output'!C6,\"Commodity is not considered in the food security basket\",\n'FS-output'!F12)","v":0}]
[]
[null,"Indicator - Number of people with their protein needs met per day"]
[null,null,"The quantity of avoided food losses corresponds to the following number of people with their protein needs met:"]
[null,null,"Population group","Type","Number of people with their protein needs met per day"]
[null,null,"Adult","Protein",{"$f":"IF('FS-output'!C6,\"Commodity is not considered in the food security basket\",'FS-output'!F13)","v":0}]
[]
[null,"Indicator Country profile - % Population at risk of hunger"]
[null,"Data source: Aqueduct Food / IFPRI IMPACT Model 3.6"]
[]
[null,null,null,"Country","% Population at risk of hunger"]
[null,null,"Country of Production",{"$f":"countryOfProduction","v":{"$error":"#N/A"}},{"$f":"INDEX(PopAtRiskofHunger[Population at risk of hunger (%)],MATCH(D97,PopAtRiskofHunger[IFC Country],0))","v":{"$error":"#N/A"}}]
[null,null,"Assumed country of Export",{"$f":"lastCountry","v":{"$error":"#N/A"}},{"$f":"INDEX(PopAtRiskofHunger[Population at risk of hunger (%)],MATCH(D98,PopAtRiskofHunger[IFC Country],0))","v":{"$error":"#N/A"}}]
[null,null,"If the country of export is not the one listed above, please select the relevant country using the drop-down to the right:",null,{"$f":"IF(D99<>0,INDEX(PopAtRiskofHunger[Population at risk of hunger (%)],MATCH(D99,PopAtRiskofHunger[IFC Country],0)),\"\")","v":""}]
[]
[null,"B. Avoided water consumption and Water risk profile of the production country"]
[null,"The indicators below relate to the country of production of the selected commodity."]
[]
[null,{"$f":"_xlfn.CONCAT(\"Avoided water consumption at production stage in \",countryOfProduction)","v":{"$error":"#N/A"}}]
[null,"Data source: Water Footprint Network"]
[]
[null,"The water footprint indicates the avoided water consumption from the total avoided food losses from all intervention projects indicated in the interface."]
[null,null,null,"Water Footprint"]
[null,null,"Total",{"$f":"IF(SUM(D110:D112)=0,\"N/A for this commodity\",SUM(D110:D112))","v":"N/A for this commodity"},{"$f":"IF(D109=\"N/A for this commodity\",\"\",\"m3\")","v":""}]
[null,null,"Green water",{"$f":"IFERROR(IF(commodityGroup=\"Animal Protein\",\n'WF-output'!$C$22*SUMPRODUCT(totalTonnesLost,proteinExtractionRatePerStage),\nWFOutputGreen*SUMPRODUCT(totalTonnesLost,proteinExtractionRatePerStage)),\n\"\")","v":""},{"$f":"IF(D110=\"\",\"\",\"m3\")","v":""}]
[null,null,"Blue water",{"$f":"IFERROR(IF(commodityGroup=\"Animal Protein\",\n'WF-output'!$C$23*SUMPRODUCT(totalTonnesLost,proteinExtractionRatePerStage),\nWFOutputBlue*SUMPRODUCT(totalTonnesLost,proteinExtractionRatePerStage)),\"\")","v":""},{"$f":"IF(D111=\"\",\"\",\"m3\")","v":""}]
[null,null,"Grey water",{"$f":"IFERROR(IF(commodityGroup=\"Animal Protein\",\n'WF-output'!$C$24*SUMPRODUCT(totalTonnesLost,proteinExtractionRatePerStage),\nWFOutputGrey*SUMPRODUCT(totalTonnesLost,proteinExtractionRatePerStage)),\"\")","v":""},""]
[]
[null,{"$f":"_xlfn.CONCAT(\"Water risk profile of country of production - \",countryOfProduction)","v":{"$error":"#N/A"}}]
[null,"Data source: WWF Water Risk Filter 2.0"]
[]
[null,"Risk type","Risk category","Risk score","Country ranking"]
[null,"Basin physical risks","Water Availability",{"$f":"INDEX('WWF-Water-CountryRisk'!$R$11:$AG$262,MATCH(countryOfProduction,'WWF-Water-CountryRisk'!$R$11:$R$262,0),MATCH(\"BRC1 Risk Level\",'WWF-Water-CountryRisk'!$R$11:$AG$11,0))","v":{"$error":"#N/A"}},{"$f":"INDEX('WWF-Water-CountryRank'!$C$11:$R$262,MATCH(countryOfProduction,'WWF-Water-CountryRank'!$R$11:$R$262,0),MATCH(\"BRC1\",'WWF-Water-CountryRank'!$C$11:$R$11,0))","v":{"$error":"#N/A"}},{"$f":"IF(ISNA(E118),\"\",_xlfn.CONCAT(\"out of \",INDEX('WWF-Water-CountryRank'!$C$9:$R$9,1,MATCH(\"BRC1\",'WWF-Water-CountryRank'!$C$11:$R$11,0)),\" country rankings\"))","v":""}]
[null,null,"Drought",{"$f":"INDEX('WWF-Water-CountryRisk'!$R$11:$AG$262,MATCH(countryOfProduction,'WWF-Water-CountryRisk'!$R$11:$R$262,0),MATCH(\"BRC2 Risk Level\",'WWF-Water-CountryRisk'!$R$11:$AG$11,0))","v":{"$error":"#N/A"}},{"$f":"INDEX('WWF-Water-CountryRank'!$C$11:$R$262,MATCH(countryOfProduction,'WWF-Water-CountryRank'!$R$11:$R$262,0),MATCH(\"BRC2\",'WWF-Water-CountryRank'!$C$11:$R$11,0))","v":{"$error":"#N/A"}},{"$f":"IF(ISNA(E119),\"\",_xlfn.CONCAT(\"out of \",INDEX('WWF-Water-CountryRank'!$C$9:$R$9,1,MATCH(\"BRC2\",'WWF-Water-CountryRank'!$C$11:$R$11,0)),\" country rankings\"))","v":""}]
[null,null,"Flooding",{"$f":"INDEX('WWF-Water-CountryRisk'!$R$11:$AG$262,MATCH(countryOfProduction,'WWF-Water-CountryRisk'!$R$11:$R$262,0),MATCH(\"BRC3 Risk Level\",'WWF-Water-CountryRisk'!$R$11:$AG$11,0))","v":{"$error":"#N/A"}},{"$f":"INDEX('WWF-Water-CountryRank'!$C$11:$R$262,MATCH(countryOfProduction,'WWF-Water-CountryRank'!$R$11:$R$262,0),MATCH(\"BRC3\",'WWF-Water-CountryRank'!$C$11:$R$11,0))","v":{"$error":"#N/A"}},{"$f":"IF(ISNA(E120),\"\",_xlfn.CONCAT(\"out of \",INDEX('WWF-Water-CountryRank'!$C$9:$R$9,1,MATCH(\"BRC3\",'WWF-Water-CountryRank'!$C$11:$R$11,0)),\" country rankings\"))","v":""}]
[null,null,"Water Quality",{"$f":"INDEX('WWF-Water-CountryRisk'!$R$11:$AG$262,MATCH(countryOfProduction,'WWF-Water-CountryRisk'!$R$11:$R$262,0),MATCH(\"BRC4 Risk Level\",'WWF-Water-CountryRisk'!$R$11:$AG$11,0))","v":{"$error":"#N/A"}},{"$f":"INDEX('WWF-Water-CountryRank'!$C$11:$R$262,MATCH(countryOfProduction,'WWF-Water-CountryRank'!$R$11:$R$262,0),MATCH(\"BRC4\",'WWF-Water-CountryRank'!$C$11:$R$11,0))","v":{"$error":"#N/A"}},{"$f":"IF(ISNA(E121),\"\",_xlfn.CONCAT(\"out of \",INDEX('WWF-Water-CountryRank'!$C$9:$R$9,1,MATCH(\"BRC4\",'WWF-Water-CountryRank'!$C$11:$R$11,0)),\" country rankings\"))","v":""}]
[null,null,"Ecosystem Services Status",{"$f":"INDEX('WWF-Water-CountryRisk'!$R$11:$AG$262,MATCH(countryOfProduction,'WWF-Water-CountryRisk'!$R$11:$R$262,0),MATCH(\"BRC5 Risk Level\",'WWF-Water-CountryRisk'!$R$11:$AG$11,0))","v":{"$error":"#N/A"}},{"$f":"INDEX('WWF-Water-CountryRank'!$C$11:$R$262,MATCH(countryOfProduction,'WWF-Water-CountryRank'!$R$11:$R$262,0),MATCH(\"BRC5\",'WWF-Water-CountryRank'!$C$11:$R$11,0))","v":{"$error":"#N/A"}},{"$f":"IF(ISNA(E122),\"\",_xlfn.CONCAT(\"out of \",INDEX('WWF-Water-CountryRank'!$C$9:$R$9,1,MATCH(\"BRC5\",'WWF-Water-CountryRank'!$C$11:$R$11,0)),\" country rankings\"))","v":""}]
[null,"Basin regulatory risks","Enabling Environment",{"$f":"INDEX('WWF-Water-CountryRisk'!$R$11:$AG$262,MATCH(countryOfProduction,'WWF-Water-CountryRisk'!$R$11:$R$262,0),MATCH(\"BRC6 Risk Level\",'WWF-Water-CountryRisk'!$R$11:$AG$11,0))","v":{"$error":"#N/A"}},{"$f":"INDEX('WWF-Water-CountryRank'!$C$11:$R$262,MATCH(countryOfProduction,'WWF-Water-CountryRank'!$R$11:$R$262,0),MATCH(\"BRC6\",'WWF-Water-CountryRank'!$C$11:$R$11,0))","v":{"$error":"#N/A"}},{"$f":"IF(ISNA(E123),\"\",_xlfn.CONCAT(\"out of \",INDEX('WWF-Water-CountryRank'!$C$9:$R$9,1,MATCH(\"BRC6\",'WWF-Water-CountryRank'!$C$11:$R$11,0)),\" country rankings\"))","v":""}]
[null,null,"Institutions & Governance",{"$f":"INDEX('WWF-Water-CountryRisk'!$R$11:$AG$262,MATCH(countryOfProduction,'WWF-Water-CountryRisk'!$R$11:$R$262,0),MATCH(\"BRC7 Risk Level\",'WWF-Water-CountryRisk'!$R$11:$AG$11,0))","v":{"$error":"#N/A"}},{"$f":"INDEX('WWF-Water-CountryRank'!$C$11:$R$262,MATCH(countryOfProduction,'WWF-Water-CountryRank'!$R$11:$R$262,0),MATCH(\"BRC7\",'WWF-Water-CountryRank'!$C$11:$R$11,0))","v":{"$error":"#N/A"}},{"$f":"IF(ISNA(E124),\"\",_xlfn.CONCAT(\"out of \",INDEX('WWF-Water-CountryRank'!$C$9:$R$9,1,MATCH(\"BRC7\",'WWF-Water-CountryRank'!$C$11:$R$11,0)),\" country rankings\"))","v":""}]
[null,null,"Management Instruments",{"$f":"INDEX('WWF-Water-CountryRisk'!$R$11:$AG$262,MATCH(countryOfProduction,'WWF-Water-CountryRisk'!$R$11:$R$262,0),MATCH(\"BRC8 Risk Level\",'WWF-Water-CountryRisk'!$R$11:$AG$11,0))","v":{"$error":"#N/A"}},{"$f":"INDEX('WWF-Water-CountryRank'!$C$11:$R$262,MATCH(countryOfProduction,'WWF-Water-CountryRank'!$R$11:$R$262,0),MATCH(\"BRC8\",'WWF-Water-CountryRank'!$C$11:$R$11,0))","v":{"$error":"#N/A"}},{"$f":"IF(ISNA(E125),\"\",_xlfn.CONCAT(\"out of \",INDEX('WWF-Water-CountryRank'!$C$9:$R$9,1,MATCH(\"BRC8\",'WWF-Water-CountryRank'!$C$11:$R$11,0)),\" country rankings\"))","v":""}]
[null,null,"WASH Infrastructure",{"$f":"INDEX('WWF-Water-CountryRisk'!$R$11:$AG$262,MATCH(countryOfProduction,'WWF-Water-CountryRisk'!$R$11:$R$262,0),MATCH(\"BRC9 Risk Level\",'WWF-Water-CountryRisk'!$R$11:$AG$11,0))","v":{"$error":"#N/A"}},{"$f":"INDEX('WWF-Water-CountryRank'!$C$11:$R$262,MATCH(countryOfProduction,'WWF-Water-CountryRank'!$R$11:$R$262,0),MATCH(\"BRC9\",'WWF-Water-CountryRank'!$C$11:$R$11,0))","v":{"$error":"#N/A"}},{"$f":"IF(ISNA(E126),\"\",_xlfn.CONCAT(\"out of \",INDEX('WWF-Water-CountryRank'!$C$9:$R$9,1,MATCH(\"BRC9\",'WWF-Water-CountryRank'!$C$11:$R$11,0)),\" country rankings\"))","v":""}]
[null,"Basin reputational risks","Environmental Factors",{"$f":"INDEX('WWF-Water-CountryRisk'!$R$11:$AG$262,MATCH(countryOfProduction,'WWF-Water-CountryRisk'!$R$11:$R$262,0),MATCH(\"BRC10 Risk Level\",'WWF-Water-CountryRisk'!$R$11:$AG$11,0))","v":{"$error":"#N/A"}},{"$f":"INDEX('WWF-Water-CountryRank'!$C$11:$R$262,MATCH(countryOfProduction,'WWF-Water-CountryRank'!$R$11:$R$262,0),MATCH(\"BRC10\",'WWF-Water-CountryRank'!$C$11:$R$11,0))","v":{"$error":"#N/A"}},{"$f":"IF(ISNA(E127),\"\",_xlfn.CONCAT(\"out of \",INDEX('WWF-Water-CountryRank'!$C$9:$R$9,1,MATCH(\"BRC10\",'WWF-Water-CountryRank'!$C$11:$R$11,0)),\" country rankings\"))","v":""}]
[null,null,"Socioeconomic Factors",{"$f":"INDEX('WWF-Water-CountryRisk'!$R$11:$AG$262,MATCH(countryOfProduction,'WWF-Water-CountryRisk'!$R$11:$R$262,0),MATCH(\"BRC11 Risk Level\",'WWF-Water-CountryRisk'!$R$11:$AG$11,0))","v":{"$error":"#N/A"}},{"$f":"INDEX('WWF-Water-CountryRank'!$C$11:$R$262,MATCH(countryOfProduction,'WWF-Water-CountryRank'!$R$11:$R$262,0),MATCH(\"BRC11\",'WWF-Water-CountryRank'!$C$11:$R$11,0))","v":{"$error":"#N/A"}},{"$f":"IF(ISNA(E128),\"\",_xlfn.CONCAT(\"out of \",INDEX('WWF-Water-CountryRank'!$C$9:$R$9,1,MATCH(\"BRC11\",'WWF-Water-CountryRank'!$C$11:$R$11,0)),\" country rankings\"))","v":""}]
[null,null,"Additional Reputational Factors",{"$f":"INDEX('WWF-Water-CountryRisk'!$R$11:$AG$262,MATCH(countryOfProduction,'WWF-Water-CountryRisk'!$R$11:$R$262,0),MATCH(\"BRC12 Risk Level\",'WWF-Water-CountryRisk'!$R$11:$AG$11,0))","v":{"$error":"#N/A"}},{"$f":"INDEX('WWF-Water-CountryRank'!$C$11:$R$262,MATCH(countryOfProduction,'WWF-Water-CountryRank'!$R$11:$R$262,0),MATCH(\"BRC12\",'WWF-Water-CountryRank'!$C$11:$R$11,0))","v":{"$error":"#N/A"}},{"$f":"IF(ISNA(E129),\"\",_xlfn.CONCAT(\"out of \",INDEX('WWF-Water-CountryRank'!$C$9:$R$9,1,MATCH(\"BRC12\",'WWF-Water-CountryRank'!$C$11:$R$11,0)),\" country rankings\"))","v":""}]
[]
[null,"C. Avoided land use and Biodiversity risk profile of the production country"]
[null,"The indicators below relate to the country of production of the selected commodity."]
[]
[null,"Assuming a worse case scenario, the avoided food loss have saved the following number of hectares from Land Use Change:"]
[null,"Avoided land use"]
[null,null,"Equivalent land area saved (crops only)"]
[null,null,{"$f":"IF(commodityGroup<>\"Animal Protein\",IFERROR(SUM($D$8:$D$16)/IF(userYield>0,userYield,INDEX(defaultNorYield[#All],MATCH(countryOfProduction,defaultNorYield[[Country]:[Country]],0),8)),0),\"N/A for animal protein\")","v":0},{"$f":"IF(C137=\"N/A for animal protein\",\"\",\"hectares\")","v":"hectares"}]
[]
[null,"The production country with this avoided land use has the following Biodiversity risk profile:"]
[null,{"$f":"_xlfn.CONCAT(\"Biodiversity risk profile of country of production - \",countryOfProduction)","v":{"$error":"#N/A"}}]
[null,"Data source: WWF Biodiversity Risk Filter 2.0"]
[]
[null,"Risk type","Risk category","Risk score","Country ranking"]
[null,"Physical risks","Provisioning Services",{"$f":"INDEX('WWF-BioDiv-CountryRisk'!$AT$11:$BB$262,MATCH(countryOfProduction,'WWF-BioDiv-CountryRisk'!$AT$11:$AT$262,0),MATCH(\"SRC1 Risk Level\",'WWF-BioDiv-CountryRisk'!$AT$11:$BB$11,0))","v":{"$error":"#N/A"}},{"$f":"INDEX('WWF-BioDiv-CountryRank'!$B$7:$AP$258,MATCH(countryOfProduction,'WWF-BioDiv-CountryRank'!$AP$7:$AP$258,0),MATCH(\"SRC1\",'WWF-BioDiv-CountryRank'!$B$7:$AP$7,0))","v":{"$error":"#N/A"}},{"$f":"IF(ISNA(E144),\"\",_xlfn.CONCAT(\"out of \",\nINDEX('WWF-BioDiv-CountryRank'!$C$5:$AO$5,1,MATCH(\"SRC1\",'WWF-BioDiv-CountryRank'!$C$7:$AO$7,0)),\n\" country rankings\"))","v":""}]
[null,null,"Regulating & Supporting Services - Enabling",{"$f":"INDEX('WWF-BioDiv-CountryRisk'!$AT$11:$BB$262,MATCH(countryOfProduction,'WWF-BioDiv-CountryRisk'!$AT$11:$AT$262,0),MATCH(\"SRC2 Risk Level\",'WWF-BioDiv-CountryRisk'!$AT$11:$BB$11,0))","v":{"$error":"#N/A"}},{"$f":"INDEX('WWF-BioDiv-CountryRank'!$B$7:$AP$258,MATCH(countryOfProduction,'WWF-BioDiv-CountryRank'!$AP$7:$AP$258,0),MATCH(\"SRC2\",'WWF-BioDiv-CountryRank'!$B$7:$AP$7,0))","v":{"$error":"#N/A"}},{"$f":"IF(ISNA(E145),\"\",_xlfn.CONCAT(\"out of \",\nINDEX('WWF-BioDiv-CountryRank'!$C$5:$AO$5,1,MATCH(\"SRC2\",'WWF-BioDiv-CountryRank'!$C$7:$AO$7,0)),\n\" country rankings\"))","v":""}]
[null,null,"Regulating Services - Mitigating",{"$f":"INDEX('WWF-BioDiv-CountryRisk'!$AT$11:$BB$262,MATCH(countryOfProduction,'WWF-BioDiv-CountryRisk'!$AT$11:$AT$262,0),MATCH(\"SRC3 Risk Level\",'WWF-BioDiv-CountryRisk'!$AT$11:$BB$11,0))","v":{"$error":"#N/A"}},{"$f":"INDEX('WWF-BioDiv-CountryRank'!$B$7:$AP$258,MATCH(countryOfProduction,'WWF-BioDiv-CountryRank'!$AP$7:$AP$258,0),MATCH(\"SRC3\",'WWF-BioDiv-CountryRank'!$B$7:$AP$7,0))","v":{"$error":"#N/A"}},{"$f":"IF(ISNA(E146),\"\",_xlfn.CONCAT(\"out of \",\nINDEX('WWF-BioDiv-CountryRank'!$C$5:$AO$5,1,MATCH(\"SRC3\",'WWF-BioDiv-CountryRank'!$C$7:$AO$7,0)),\n\" country rankings\"))","v":""}]
[null,null,"Cultural Services",{"$f":"INDEX('WWF-BioDiv-CountryRisk'!$AT$11:$BB$262,MATCH(countryOfProduction,'WWF-BioDiv-CountryRisk'!$AT$11:$AT$262,0),MATCH(\"SRC4 Risk Level\",'WWF-BioDiv-CountryRisk'!$AT$11:$BB$11,0))","v":{"$error":"#N/A"}},{"$f":"INDEX('WWF-BioDiv-CountryRank'!$B$7:$AP$258,MATCH(countryOfProduction,'WWF-BioDiv-CountryRank'!$AP$7:$AP$258,0),MATCH(\"SRC4\",'WWF-BioDiv-CountryRank'!$B$7:$AP$7,0))","v":{"$error":"#N/A"}},{"$f":"IF(ISNA(E147),\"\",_xlfn.CONCAT(\"out of \",\nINDEX('WWF-BioDiv-CountryRank'!$C$5:$AO$5,1,MATCH(\"SRC4\",'WWF-BioDiv-CountryRank'!$C$7:$AO$7,0)),\n\" country rankings\"))","v":""}]
[null,null,"Pressures on Biodiversity",{"$f":"INDEX('WWF-BioDiv-CountryRisk'!$AT$11:$BB$262,MATCH(countryOfProduction,'WWF-BioDiv-CountryRisk'!$AT$11:$AT$262,0),MATCH(\"SRC5 Risk Level\",'WWF-BioDiv-CountryRisk'!$AT$11:$BB$11,0))","v":{"$error":"#N/A"}},{"$f":"INDEX('WWF-BioDiv-CountryRank'!$B$7:$AP$258,MATCH(countryOfProduction,'WWF-BioDiv-CountryRank'!$AP$7:$AP$258,0),MATCH(\"SRC5\",'WWF-BioDiv-CountryRank'!$B$7:$AP$7,0))","v":{"$error":"#N/A"}},{"$f":"IF(ISNA(E148),\"\",_xlfn.CONCAT(\"out of \",\nINDEX('WWF-BioDiv-CountryRank'!$C$5:$AO$5,1,MATCH(\"SRC5\",'WWF-BioDiv-CountryRank'!$C$7:$AO$7,0)),\n\" country rankings\"))","v":""}]
[null,"Reputational risks","Environmental Factors",{"$f":"INDEX('WWF-BioDiv-CountryRisk'!$AT$11:$BB$262,MATCH(countryOfProduction,'WWF-BioDiv-CountryRisk'!$AT$11:$AT$262,0),MATCH(\"SRC6 Risk Level\",'WWF-BioDiv-CountryRisk'!$AT$11:$BB$11,0))","v":{"$error":"#N/A"}},{"$f":"INDEX('WWF-BioDiv-CountryRank'!$B$7:$AP$258,MATCH(countryOfProduction,'WWF-BioDiv-CountryRank'!$AP$7:$AP$258,0),MATCH(\"SRC6\",'WWF-BioDiv-CountryRank'!$B$7:$AP$7,0))","v":{"$error":"#N/A"}},{"$f":"IF(ISNA(E149),\"\",_xlfn.CONCAT(\"out of \",\nINDEX('WWF-BioDiv-CountryRank'!$C$5:$AO$5,1,MATCH(\"SRC6\",'WWF-BioDiv-CountryRank'!$C$7:$AO$7,0)),\n\" country rankings\"))","v":""}]
[]
[]
[null,"D. Avoided nitrogen fertilizer and fuel use indicators"]
[null,"The indicators below correspond to the avoided resource use for the total avoided losses from all the intervention projects indicated in the interface."]
[]
[null,"Avoided nitrogen use"]
[null,null,"Nitrogen saved (crops only)"]
[null,null,{"$f":"IF(commodityGroup=\"Animal Protein\",\"N/A for animal protein\",\nIF(AND(Interface!$C$46=NperTonne,Interface!$C$45<>\"\"),Interface!$C$45,\nIF(AND(Interface!$C$46=NperHa,Interface!$C$45<>\"\"),Interface!$C$45/userYield,\nuserNDefault))\n*SUMPRODUCT(totalTonnesLost,proteinExtractionRatePerStage))","v":{"$error":"#N/A"}},{"$f":"IF(C137=\"N/A for animal protein\",\"\",\"kg of Nitrogen\")","v":"kg of Nitrogen"}]
[]
[null,"Avoided fuel use"]
[null,null,"Transport fuel saved"]
[null,null,{"$f":"SUM('Default parameters'!L5:L8)*1000*SUM(totalTonnesLost)/'TR-1'!D44\n+IF(commodity=\"Tuna\",SUMPRODUCT(totalTonnesLost,proteinExtractionRatePerStage)*ProteinData!$AK$77*1000,0)","v":{"$error":"#N/A"}},"equivalent liters of diesel"]
[]
[null,"E. Orphaned losses and emissions - additional upstream avoided food loss and emissions"]
[]
[null,"For any commodity, there are losses occurring between each supply chain stages. This means that for any given volume of commodity, a greater quantity of this commodity was produced upstream to obtain this specific volume.\nE.g. A consumer buys 1kg of tomatoes at the supermarket. Because of the losses in the upstream stages from harvesting to retail, it corresponds in reality to 1.5kg of tomatoes produced at the farm. In this example, for each kg of tomato purchased at the supermarket, there is an additional 0.5kg of tomato needed produced on farm.\n\nThis logic applies as well for avoided food losses: for every kg of avoided food loss, it corresponds in reality to greater avoided quantities in the upstream stages based on the percentage loss rate between each supply chain stage, i.e. orphaned losses and emissions. \nThese additional avoided losses in the upstream supply chain stages, i.e. the orphaned losses, are indicated in the table below, along with the corresponding additional avoided GHG emissions:"]
[]
[null,"Intervention stage(s)","Avoided losses from the project intervention (tonnes)","Additional upstream avoided losses (tonnes)","Total avoided losses (tonnes)","Avoided emissions from the project intervention (t CO2e)","Additional upstream avoided emissions\n(t CO2e)","Total avoided emissions (t CO2e)"]
[null,"Production",{"$f":"D8","v":""},"N/A",{"$f":"IF(SUM(C168:D168)=0,\"\",SUM(C168:D168))","v":""},{"$f":"F8","v":""},"N/A",{"$f":"IF(SUM(F168:G168)=0,\"\",SUM(F168:G168))","v":""}]
[null,"Transport 1","",{"$f":"_xlfn.IFNA(IF('Upstream Avoided Losses'!C170=0,\"\",'Upstream Avoided Losses'!C170),\"\")","v":""},"","",{"$f":"_xlfn.IFNA(IF('Upstream Avoided Losses'!C171=0,\"\",'Upstream Avoided Losses'!C171),\"\")","v":""},{"$f":"IF(SUM(F169:G169)=0,\"\",SUM(F169:G169))","v":""}]
[null,"Storage 1 (pre-processing)","",{"$f":"_xlfn.IFNA(IF('Upstream Avoided Losses'!C153=0,\"\",'Upstream Avoided Losses'!C153),\"\")","v":""},"","",{"$f":"_xlfn.IFNA(IF('Upstream Avoided Losses'!C154=0,\"\",'Upstream Avoided Losses'!C154),\"\")","v":""},""]
[null,"Transport 2","",{"$f":"_xlfn.IFNA(IF('Upstream Avoided Losses'!C134=0,\"\",'Upstream Avoided Losses'!C134),\"\")","v":""},"","",{"$f":"_xlfn.IFNA(IF('Upstream Avoided Losses'!C135=0,\"\",'Upstream Avoided Losses'!C135),\"\")","v":""},{"$f":"IF(SUM(F171:G171)=0,\"\",SUM(F171:G171))","v":""}]
[null,"Processing","",{"$f":"_xlfn.IFNA(IF('Upstream Avoided Losses'!C113=0,\"\",'Upstream Avoided Losses'!C113),\"\")","v":""},"","",{"$f":"_xlfn.IFNA(IF('Upstream Avoided Losses'!C114=0,\"\",'Upstream Avoided Losses'!C114),\"\")","v":""},{"$f":"IF(SUM(F172:G172)=0,\"\",SUM(F172:G172))","v":""}]
[null,"Transport 3","",{"$f":"_xlfn.IFNA(IF('Upstream Avoided Losses'!C90=0,\"\",'Upstream Avoided Losses'!C90),\"\")","v":""},"","",{"$f":"_xlfn.IFNA(IF('Upstream Avoided Losses'!C91=0,\"\",'Upstream Avoided Losses'!C91),\"\")","v":{"$error":"#VALUE!"}},{"$f":"IF(SUM(F173:G173)=0,\"\",SUM(F173:G173))","v":{"$error":"#VALUE!"}}]
[null,"Storage 2 (pre-retail)","",{"$f":"_xlfn.IFNA(IF('Upstream Avoided Losses'!C65=0,\"\",'Upstream Avoided Losses'!C65),\"\")","v":""},"","",{"$f":"_xlfn.IFNA(IF('Upstream Avoided Losses'!C66=0,\"\",'Upstream Avoided Losses'!C66),\"\")","v":""},""]
[null,"Transport 4","",{"$f":"_xlfn.IFNA(IF('Upstream Avoided Losses'!C37=0,\"\",'Upstream Avoided Losses'!C37),\"\")","v":""},"","",{"$f":"_xlfn.IFNA(IF('Upstream Avoided Losses'!C38=0,\"\",'Upstream Avoided Losses'!C38),\"\")","v":""},""]
[null,"Retail","",{"$f":"_xlfn.IFNA(IF('Upstream Avoided Losses'!C7=0,\"\",'Upstream Avoided Losses'!C7),\"\")","v":""},"","",{"$f":"_xlfn.IFNA(IF('Upstream Avoided Losses'!C8=0,\"\",'Upstream Avoided Losses'!C8),\"\")","v":""},""]

{"sheet":"Storage","index":5,"n_rows":114,"n_cols":11,"rows_kept":114,"cut":false,"hidden":true,"merged":[[15,0,16,0],[13,0,14,0]]}
[null,"Storage Emission Calculations"]
[null,null,{"$f":"countryOfStorage1","v":{"$error":"#N/A"}},{"$f":"countryOfStorage2","v":{"$error":"#N/A"}}]
[null,"DEFAULT EF","Storage 1","Storage 2"]
[null,"Chilled?",{"$f":"VLOOKUP(commodity,CHILLED,2,FALSE)","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(commodity,CHILLED,2,FALSE)","v":{"$error":"#N/A"}},null,null,null,"Average grid emission factor (IEA)"]
[null,"Length of time (days)",{"$f":"IF(ISNA(INDEX('TR-Road-dist'!$D$8:$D$167,MATCH(countryOfStorage1,'TR-Road-dist'!$B$8:$B$167,0))/IF((countryOfStorage1=countryOfStorage2),2,1)),\n0,\nINDEX('TR-Road-dist'!$D$8:$D$167,MATCH(countryOfStorage1,'TR-Road-dist'!$B$8:$B$167,0))/IF((countryOfStorage1=countryOfStorage2),2,1))","v":0},{"$f":"IF(ISNA(IFERROR(INDEX('TR-Road-dist'!$D$8:$D$167,MATCH(countryOfStorage2,'TR-Road-dist'!$B$8:$B$167,0))/IF((countryOfStorage1=countryOfStorage2),2,1),INDEX('TR-Road-dist'!$D$8:$D$167,MATCH(userInputCountryofStorage2,'TR-Road-dist'!$B$8:$B$167,0))/IF((countryOfStorage1=userInputCountryofStorage2),2,1))),\n0,\nIFERROR(INDEX('TR-Road-dist'!$D$8:$D$167,MATCH(countryOfStorage2,'TR-Road-dist'!$B$8:$B$167,0))/IF((countryOfStorage1=countryOfStorage2),2,1),INDEX('TR-Road-dist'!$D$8:$D$167,MATCH(userInputCountryofStorage2,'TR-Road-dist'!$B$8:$B$167,0))/IF((countryOfStorage1=userInputCountryofStorage2),2,1)))","v":0},null,null,null,"Memo: European Union - 28",0.29599999999999999,"kgCO2e/kWh"]
[null,"Electricity consumption (kWh/day/tonne)",{"$f":"IF(C4=\"Y\",$J$21,$I$21)","v":{"$error":"#N/A"}},{"$f":"IF(D4=\"Y\",$J$21,$I$21)","v":{"$error":"#N/A"}}]
[null,"Natural gas consumption (kWh/day/tonne)",{"$f":"IF(C4=\"Y\",$J$22,$I$22)","v":{"$error":"#N/A"}},{"$f":"IF(D4=\"Y\",$J$22,$I$22)","v":{"$error":"#N/A"}}]
[null,"Emissions per tonne (tCO2e/tonne crop)",{"$f":"IF(C4=\"Y\",$J$20,$I$20)*C5","v":{"$error":"#N/A"}},{"$f":"IF(D4=\"Y\",$J$20,$I$20)*D5","v":{"$error":"#N/A"}},null,null,null,"Food loss rate adjustments","Storage 1","Storage 2"]
[null,null,null,null,null,null,null,"Storage time (days) - final input",{"$f":"C20","v":0},{"$f":"D20","v":0}]
[null,null,null,null,null,null,null,"Food loss rate distribution",{"$f":"I9/SUM($I$9:$J$9)","v":{"$error":"#DIV/0!"}},{"$f":"J9/SUM($I$9:$J$9)","v":{"$error":"#DIV/0!"}}]
[null,"USER-INPUT EF"]
[null,null,"Storage 1","Storage 2"]
[null,"Selected electricity grid factor (kgCO2e/kWh)",{"$f":"VLOOKUP(countryOfStorage1,ENERGY,3,FALSE)","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(countryOfStorage2,ENERGY,3,FALSE)","v":{"$error":"#N/A"}}]
["User Input option A","User-defined EF?",{"$f":"IFERROR(AND(storage1UserDefinedEF<>storageDefaultEF,storage1UserDefinedEF<>0,storage1UserDefinedEF<>J20,storage1UserDefinedEF<>I20),FALSE)","v":false},{"$f":"IFERROR(AND(storage2UserDefinedEF<>storage2DefaultEF,storage2UserDefinedEF<>0,storage2UserDefinedEF<>J20,storage2UserDefinedEF<>I20),FALSE)","v":false},"(set TRUE in response to user EF input)"]
[null,"User-defined EF value",{"$f":"IF(C14,storage1UserDefinedEF,0)","v":0},{"$f":"IF(D14,storage2UserDefinedEF,0)","v":0},"tCO2e/tonne commodity",null,null,"https://www.smartfreightcentre.org/en/how-to-implement-glec-framework/"]
["User Input option B","User-defined temperature conditions?",{"$f":"AND(storage1TempControlled<>storage1TempControlledDefault,storage1TempControlled<>0)","v":false},{"$f":"AND(storage2TempControlled<>storage2TempControlledDefault,storage2TempControlled<>0)","v":false},"(set TRUE in response to user temperature condition input)"]
[null,"User-defined EF value",{"$f":"IF(C16,\nIF(storage1TempControlled=\"No\",Storage!$I$20,Storage!$J$20),0)","v":0},{"$f":"IF(D16,\nIF(storage2TempControlled=\"No\",Storage!$I$20,Storage!$J$20),0)","v":0},"tCO2e per tonne per day",null,null,"Metric","Ambient","Temperature controlled","Source/Notes"]
["User Input option C","User-defined Storage time & energy consumption?",{"$f":"OR(C19,C21,C23)","v":{"$error":"#N/A"}},{"$f":"OR(D19,D21,D23)","v":{"$error":"#N/A"}},null,null,null,"Storage kgCO2e per tonne (Europe) = ",{"$f":"5.4-1.2","v":4.2},{"$f":"11.7-1.2","v":10.5},"(Smart Freight Centre GLEC table 37, discounting transhipment).\n450kg goods per pallet assumed"]
["User Input option C1","Use user-defined # of days?",{"$f":"storage1Time<>Storage!C5","v":false},{"$f":"storage2Time<>Storage!D5","v":false},null,null,null,"Estimated number of days in storage (Europe) =",3.8,3.8,"(World Bank LPI)"]
[null,"# of days (user-defined or default)",{"$f":"IF(C19,storage1Time,C5)","v":0},{"$f":"IF(D19,storage2Time,D5)","v":0},"days in storage",null,null,"Storage tCO2e per tonne per day = ",{"$f":"(I18/I19)/1000","v":1.105263157894737E-3},{"$f":"(J18/J19)/1000","v":2.7631578947368419E-3}]
["User Input option C2","Use user-defined electricity kWh input?",{"$f":"storage1Electricity<>storage1ElectricityDefault","v":{"$error":"#N/A"}},{"$f":"storage2Electricity<>storage2ElectricityDefault","v":{"$error":"#N/A"}},"(set TRUE in response to user kWh input)",null,null,"Estimated elec kWh per tonne per day =",{"$f":"(I20/2)/(EUGridAvg/1000)","v":1.8669985775248936},{"$f":"(J20/2)/(EUGridAvg/1000)","v":4.6674964438122331},"Assume 50% emissions from electricity"]
[null,"kWh electricity (user-defined or default)",{"$f":"IF(C21,storage1Electricity,C7)","v":{"$error":"#N/A"}},{"$f":"IF(D21,storage2Electricity,D7)","v":{"$error":"#N/A"}},"Elec kWh/day/tonne",null,null,"Estimated natural gas kWh per tonne per day =",{"$f":"(I20/2)/(NaturalGasEF/1000)","v":2.402745995423341},{"$f":"(J20/2)/(NaturalGasEF/1000)","v":6.0068649885583518},"Assume 50% emissions from natural gas, in reality fuel oil, district heating and biomass are also sometimes used"]
["User Input option C3","Use user-defined gas kWh input?",{"$f":"storage1Gas<>storage1GasDefault","v":{"$error":"#N/A"}},{"$f":"storage2Gas<>storage2GasDefault","v":{"$error":"#N/A"}},"(set TRUE in response to user kWh input)"]
[null,"kWh gas (user-defined or default)",{"$f":"IF(C23,storage1Gas,C7)","v":{"$error":"#N/A"}},{"$f":"IF(D23,storage2Gas,D7)","v":{"$error":"#N/A"}},"Gas kWh/day/tonne"]
[null,"Emissions per tonne (tCO2e/tonne crop)",{"$f":"IF(C14,storage1UserDefinedEF,\nIF(Storage!C16,C17*C20,\nIF(C18,C20*((C22*C13)+(C24*NaturalGasEF))/1000,storageDefaultEF)))","v":{"$error":"#N/A"}},{"$f":"IF(D14,storage2UserDefinedEF,\nIF(Storage!D16,D17*D20,\nIF(D18,D20*((D22*D13)+(D24*NaturalGasEF))/1000,storage2DefaultEF)))","v":{"$error":"#N/A"}},"tCO2e per tonne",null,null,"Issues:"]
[null,null,null,null,null,null,null,"Not tailored to each country (based on average EU grid factor)"]
[null,"FINAL SELECTION EF",null,null,null,null,null,"Original GLEC data is total per tonne, we have converted this to per tonne per day using an assumption about the average days storage in Europe"]
[null,null,"Storage 1","Storage 2",null,null,null,"The tonne/day emission factor is 10x lower than the value we used previously"]
[null,"Emissions per tonne (tCO2e/tonne crop)",{"$f":"IFERROR(IF(storageDefaultEF<>storage1UserEF,IF(storage1UserEF<>0,storage1UserEF,storageDefaultEF),storageDefaultEF),storageDefaultEF)","v":{"$error":"#N/A"}},{"$f":"IFERROR(IF(storage2DefaultEF<>storage2UserEF,IF(storage2UserEF<>0,storage2UserEF,storage2DefaultEF),storage2DefaultEF),storage2DefaultEF)","v":{"$error":"#N/A"}},"tCO2e per tonne"]
[null,null,null,null,null,null,null,"Benefits:"]
[null,null,null,null,null,null,null,"The total emissions per tonne are quite similar to those reported by Carbon Trust data"]
[null,null,null,null,null,null,null,"Based on good quality survey data"]
[null,"Chilled/Not chilled commodities",null,null,null,null,null,"The referenced report also includes transport data which could in future replace/update our approach to transport"]
[null,"Crop","Chilled?",null,null,null,null,"Includes refrigerant leakage where relevant, not just energy"]
[null,"Almonds","N",null,null,null,null,"Smart Freight Centre looking for partners to improve the data in future"]
[null,"Apples","N"]
[null,"Asparagus","N"]
[null,"Avocados","N"]
[null,"Bananas","N"]
[null,"Barley","N"]
[null,"Beans","N"]
[null,"Blueberries","N"]
[null,"Broccoli","N"]
[null,"Buckwheat","N"]
[null,"Butter","Y"]
[null,"Carrots","N"]
[null,"Cashew nuts","N"]
[null,"Cassava","N"]
[null,"Catfish","Y"]
[null,"Cheese","Y"]
[null,"Cherries","N"]
[null,"Chickpeas","N"]
[null,"Cocoa","N"]
[null,"Coconuts","N"]
[null,"Coffee","N"]
[null,"Cotton","N"]
[null,"Cotton seed oil","N"]
[null,"Cucumbers","N"]
[null,"Eggs","N"]
[null,"Flour","N"]
[null,"Garlic (green)","N"]
[null,"Ginger","N"]
[null,"Grapes","N"]
[null,"Hazelnuts","N"]
[null,"Lemons","N"]
[null,"Lentils","N"]
[null,"Lettuce","N"]
[null,"Litchi","N"]
[null,"Maize","N"]
[null,"Mandarins","N"]
[null,"Mangoes","N"]
[null,"Meat (cattle)","Y"]
[null,"Meat (chicken)","Y"]
[null,"Meat (pig)","Y"]
[null,"Milk (cattle)","Y"]
[null,"Millet","N"]
[null,"Mushrooms","N"]
[null,"Oats","N"]
[null,"Olive oil","N"]
[null,"Onions (fresh)","N"]
[null,"Onions, dry","N"]
[null,"Oranges","N"]
[null,"Palm oil","N"]
[null,"Peanuts","N"]
[null,"Pears","N"]
[null,"Peas (dry)","N"]
[null,"Peppers","N"]
[null,"Pineapples","N"]
[null,"Pistachios","N"]
[null,"Potatoes","N"]
[null,"Quinoa","N"]
[null,"Rapeseeds","N"]
[null,"Raspberries","N"]
[null,"Rice","N"]
[null,"Rye","N"]
[null,"Salmon","Y"]
[null,"Sesame seed","N"]
[null,"Shrimp","Y"]
[null,"Sorghum","N"]
[null,"Soybeans","N"]
[null,"Spinach","N"]
[null,"Strawberries","N"]
[null,"Sugar cane","N"]
[null,"Sunflower oil","N"]
[null,"Sunflower seeds","N"]
[null,"Sweet peppers","N"]
[null,"Sweet potatoes","N"]
[null,"Tilapia","Y"]
[null,"Tomatoes","N"]
[null,"Tuna","Y"]
[null,"Walnuts","N"]
[null,"Watermelons","N"]
[null,"Wheat","N"]
[null,"Yoghurt","Y"]

{"sheet":"Processing","index":6,"n_rows":154,"n_cols":25,"rows_kept":154,"cut":false,"hidden":true,"merged":[]}
[null,null,null,null,"Processing default data, scale the user-selected group by processing intensity",null,null,null,null,null,null,null,null,null,null,null,0.27777780000000002,"MJ -> kWh",null,null,null,"Assume always Natural Gas"]
[null,{"$f":"IFC_Commodity_CommodityGroup[[#Headers],[IFC Commodity]]","v":"IFC Commodity"},{"$f":"IFC_Commodity_CommodityGroup[[#Headers],[IFC Commodity group]]","v":"IFC Commodity group"},"Processing intensity","Unique Groups","Ave kWh/kg elec","Ave elec EF kgCO2e/kWh","Ave kWh/kg gas","Ave gas EF kgCO2e/kWh","TOTAL EF kgCO2e/kg",null,"Product","IFC Name","Process","Electricity Energy Consumption (MJ/kg)","Data Source","Electricity kWh/kg","Commodity Group",null,"Product","Process","Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)","Data Source","Natural Gas kWh/kg","Commodity Group"]
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[null,"Beans","Pulses & Grains",{"$f":"ProcessingIntensityRatio_High","v":1},"Flour",{"$f":"IF(commodityGroup=CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],\nIFERROR(AVERAGEIF(ProcessingElectricity[[#All],[Commodity Group]],CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],ProcessingElectricity[[#All],[Electricity kWh/kg]]),0)*INDEX($B$2:$D$82,MATCH(\nIF(commodity=\"Sunflower oil\",\"Sunflower seeds\",IF(commodity=\"Cotton seed oil\",\"Cotton\",commodity)),\n$B$2:$B$82,0),3),\nIFERROR(AVERAGEIF(ProcessingElectricity[[#All],[Commodity Group]],CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],ProcessingElectricity[[#All],[Electricity kWh/kg]]),0))","v":0.22638890700000003},{"$f":"CommodityGroupEnergyPerKg[[#This Row],[Ave kWh/kg elec]]*VLOOKUP(countryOfProcessing,ENERGY,3,FALSE)","v":{"$error":"#N/A"}},{"$f":"IF(commodityGroup=CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],\nIFERROR(AVERAGEIF(ProcessingHeatEnergy[[#All],[Commodity Group]],CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],ProcessingHeatEnergy[[#All],[Natural Gas kWh/kg]]),0)*INDEX($B$2:$D$82,MATCH(\nIF(commodity=\"Sunflower oil\",\"Sunflower seeds\",IF(commodity=\"Cotton seed oil\",\"Cotton\",commodity)),$B$2:$B$82,0),3),\nIFERROR(AVERAGEIF(ProcessingHeatEnergy[[#All],[Commodity Group]],CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],ProcessingHeatEnergy[[#All],[Natural Gas kWh/kg]]),0))","v":13.000001040000001},{"$f":"CommodityGroupEnergyPerKg[[#This Row],[Ave kWh/kg gas]]*NaturalGasEF","v":2.9900002392000005},{"$f":"SUM(CommodityGroupEnergyPerKg[[#This Row],[Ave elec EF kgCO2e/kWh]]+CommodityGroupEnergyPerKg[[#This Row],[Ave gas EF kgCO2e/kWh]])","v":{"$error":"#N/A"}},null,"Cocoa butter","Cocoa","N/A",0.67,"Wojdalski et al. (2015) - 1986",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.18611112600000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Nuts/Seeds"},null,"Fruits and Vegetables Frozen","N/A",1.8,"Wang (2014) - 2001",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.50000004000000009},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Vegetables"}]
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[null,"Broccoli","Vegetables",{"$f":"ProcessingIntensityRatio_Low","v":0.1},"Mycoprotein",{"$f":"IF(commodityGroup=CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],\nIFERROR(AVERAGEIF(ProcessingElectricity[[#All],[Commodity Group]],CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],ProcessingElectricity[[#All],[Electricity kWh/kg]]),0)*INDEX($B$2:$D$82,MATCH(\nIF(commodity=\"Sunflower oil\",\"Sunflower seeds\",IF(commodity=\"Cotton seed oil\",\"Cotton\",commodity)),\n$B$2:$B$82,0),3),\nIFERROR(AVERAGEIF(ProcessingElectricity[[#All],[Commodity Group]],CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],ProcessingElectricity[[#All],[Electricity kWh/kg]]),0))","v":0.80555562000000003},{"$f":"CommodityGroupEnergyPerKg[[#This Row],[Ave kWh/kg elec]]*VLOOKUP(countryOfProcessing,ENERGY,3,FALSE)","v":{"$error":"#N/A"}},{"$f":"IF(commodityGroup=CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],\nIFERROR(AVERAGEIF(ProcessingHeatEnergy[[#All],[Commodity Group]],CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],ProcessingHeatEnergy[[#All],[Natural Gas kWh/kg]]),0)*INDEX($B$2:$D$82,MATCH(\nIF(commodity=\"Sunflower oil\",\"Sunflower seeds\",IF(commodity=\"Cotton seed oil\",\"Cotton\",commodity)),$B$2:$B$82,0),3),\nIFERROR(AVERAGEIF(ProcessingHeatEnergy[[#All],[Commodity Group]],CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],ProcessingHeatEnergy[[#All],[Natural Gas kWh/kg]]),0))","v":0},{"$f":"CommodityGroupEnergyPerKg[[#This Row],[Ave kWh/kg gas]]*NaturalGasEF","v":0},{"$f":"SUM(CommodityGroupEnergyPerKg[[#This Row],[Ave elec EF kgCO2e/kWh]]+CommodityGroupEnergyPerKg[[#This Row],[Ave gas EF kgCO2e/kWh]])","v":{"$error":"#N/A"}},null,"Sugar - Refined ","Sugar cane","N/A",0.17,"Cleland, Earle and Boag (1981) - 1980",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":4.7222226000000006E-2},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Tubers/Root Crops"},null,"Potato Chips","N/A",15,"Carlsson-Kanyama and Faist (2000) - 1988",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":4.1666670000000003},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Tubers/Root Crops"}]
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[null,"Butter","Animal Protein",{"$f":"ProcessingIntensityRatio_Low","v":0.1},null,null,null,null,null,null,null,"Sugar - cane","Sugar cane","N/A",0.36,"Carlsson-Kanyama and Faist (2000) - 1986",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.100000008},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Tubers/Root Crops"},null,"Potato Chips","N/A",11,"Andersson, Ohlsson and Olsson (1998)",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":3.0555558},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Tubers/Root Crops"}]
[null,"Carrots","Tubers/Root Crops",{"$f":"ProcessingIntensityRatio_Medium","v":0.5},"Processing selecting user defined or default data",null,null,null,null,null,null,"Sugar - cane","Sugar cane","N/A",14.1,"Hendrickson (1996)- 1979",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":3.91666698},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Tubers/Root Crops"},null,"Potato Chips","N/A",15.7,"Cleland, Earle and Boag (1981) - 1980",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":4.3611114600000001},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Tubers/Root Crops"}]
[null,"Cashew nuts","Nuts/Seeds",{"$f":"ProcessingIntensityRatio_Low","v":0.1},"Unique Groups","Ave kWh/kg elec","Ave elec EF kgCO2e/kWh","Ave kWh/kg gas","Ave gas EF kgCO2e/kWh","Current EF kgCO2e/kg",null,"Sugar - cane raw","Sugar cane","N/A",0.44,"Van Alfen (2014) - 1986",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.12222223200000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Tubers/Root Crops"},null,"Potato French Fries","N/A",8.3000000000000007,"Andersson, Ohlsson and Olsson (1998) - 1996",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":2.3055557400000004},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Tubers/Root Crops"}]
[null,"Cassava","Tubers/Root Crops",{"$f":"ProcessingIntensityRatio_High","v":1},"Nuts/Seeds",{"$f":"IF(OR(processingUserElec<=0,processingUserElec=F3),F3,processingUserElec)","v":5.3395837605000001},{"$f":"CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave kWh/kg elec]]*VLOOKUP(countryOfProcessing,ENERGY,3,FALSE)","v":{"$error":"#N/A"}},{"$f":"IF(OR(processingUserGas<=0,processingUserGas=H3),H3,processingUserGas)","v":10.44444528},{"$f":"CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave kWh/kg gas]]*NaturalGasEF","v":2.4022224144000002},{"$f":"IF(OR(processingUserElec<>F3,processingUserGas<>H3),SUM(CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave elec EF kgCO2e/kWh]]+CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave gas EF kgCO2e/kWh]]),SUM(CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave elec EF kgCO2e/kWh]]+CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave gas EF kgCO2e/kWh]]))","v":{"$error":"#N/A"}},null,"Apple - Fresh","Apples","tranport, processing and distribution",5.1100000000000003,"Stanhill (1984)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.4194445580000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Fruits"},null,"Starch Maize","N/A",2.33,"Wang (2014) - 2001",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.6472222740000001},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Pulses & Grains"}]
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[null,"Chickpeas","Pulses & Grains",{"$f":"ProcessingIntensityRatio_Low","v":0.1},"Cotton",24.83333532,{"$f":"CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave kWh/kg elec]]*VLOOKUP(countryOfProcessing,ENERGY,3,FALSE)","v":{"$error":"#N/A"}},0,{"$f":"CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave kWh/kg gas]]*NaturalGasEF","v":0},{"$f":"IF(OR(processingUserElec<>F7,processingUserGas<>H7),SUM(CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave elec EF kgCO2e/kWh]]+CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave gas EF kgCO2e/kWh]]),SUM(CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave elec EF kgCO2e/kWh]]+CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave gas EF kgCO2e/kWh]]))","v":{"$error":"#N/A"}},null,"Apple Dehydrated","Apples","N/A",53.96,"Hendrickson (1996) - 1975-79",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":14.988890088000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Fruits"},null,"Vegetables Frozen ","Includes refridgerated storage after processing but prior to distribution ",1.7,"Cleland, Earle and Boag (1981) - 1981",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.47222226},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Vegetables"}]
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[null,"Coconuts","Nuts/Seeds",{"$f":"ProcessingIntensityRatio_High","v":1},"Flour",0.22638890700000003,{"$f":"CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave kWh/kg elec]]*VLOOKUP(countryOfProcessing,ENERGY,3,FALSE)","v":{"$error":"#N/A"}},13.000001040000001,{"$f":"CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave kWh/kg gas]]*NaturalGasEF","v":2.9900002392000005},{"$f":"IF(OR(processingUserElec<>F9,processingUserGas<>H9),SUM(CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave elec EF kgCO2e/kWh]]+CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave gas EF kgCO2e/kWh]]),SUM(CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave elec EF kgCO2e/kWh]]+CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave gas EF kgCO2e/kWh]]))","v":{"$error":"#N/A"}},null,"Beet pulp ",null,"N/A",0.01,"Wang (2014) - 2001",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":2.7777780000000003E-3},"Vegetables",null,"Butter","N/A",3.52,"Cox and Miller (1986) - 1981",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.97777785600000011},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Coffee","Nuts/Seeds",{"$f":"ProcessingIntensityRatio_High","v":1},"Vegetables",0.36237376636363638,{"$f":"CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave kWh/kg elec]]*VLOOKUP(countryOfProcessing,ENERGY,3,FALSE)","v":{"$error":"#N/A"}},2.6966668824000002,{"$f":"CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave kWh/kg gas]]*NaturalGasEF","v":0.62023338295200003},{"$f":"IF(OR(processingUserElec<>F10,processingUserGas<>H10),SUM(CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave elec EF kgCO2e/kWh]]+CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave gas EF kgCO2e/kWh]]),SUM(CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave elec EF kgCO2e/kWh]]+CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave gas EF kgCO2e/kWh]]))","v":{"$error":"#N/A"}},null,"Carrot - Primary energy","Carrots","Processing and storage",0.23,"Van Hauwermeiren et al. (2007)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":6.3888894000000002E-2},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Tubers/Root Crops"},null,"Butter","N/A",4.2699999999999996,"Cox and Miller (1986) - 1979",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.1861112059999999},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Cotton","Cotton",{"$f":"ProcessingIntensityRatio_High","v":1},"Mycoprotein",0.80555562000000003,{"$f":"CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave kWh/kg elec]]*VLOOKUP(countryOfProcessing,ENERGY,3,FALSE)","v":{"$error":"#N/A"}},0,{"$f":"CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave kWh/kg gas]]*NaturalGasEF","v":0},{"$f":"IF(OR(processingUserElec<>F11,processingUserGas<>H11),SUM(CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave elec EF kgCO2e/kWh]]+CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave gas EF kgCO2e/kWh]]),SUM(CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave elec EF kgCO2e/kWh]]+CommodityGroupUserOrDefaultEnergyData[[#This Row],[Ave gas EF kgCO2e/kWh]]))","v":{"$error":"#N/A"}},null,"Carrot Canned","Carrots","N/A",21.4,"Hendrickson (1996) - 1975-78",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":5.9444449199999996},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Tubers/Root Crops"},null,"Butter","N/A",3.53,"Foster et al. (2006) - 2000",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.98055563400000001},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Cotton seed oil","Nuts/Seeds",{"$f":"ProcessingIntensityRatio_Medium","v":0.5},null,null,null,null,null,null,null,"Carrot Frozen","Carrots","N/A",29.66,"Hendrickson (1996) - 1975-79",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":8.2388895480000013},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Tubers/Root Crops"},null,"Cheese","N/A",2.11,"Wang (2014) - 2001",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.58611115800000002},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Cucumbers","Vegetables",{"$f":"ProcessingIntensityRatio_High","v":1},null,null,null,null,null,null,null,"Carrot Dehydrated","Carrots","N/A",86.3,"Hendrickson (1996) - 1975-80",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":23.972224140000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Tubers/Root Crops"},null,"Cheese","N/A",4.34,"Cox and Miller (1986)",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.2055556520000001},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Eggs","Animal Protein",{"$f":"ProcessingIntensityRatio_Medium","v":0.5},null,null,null,null,null,null,null,"Cabbage - primary",null,"Processing and storage",0.45,"Van Hauwermeiren et al. (2007)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.12500001000000002},"Vegetables",null,"Cheese","N/A",4.4400000000000004,"Cox and Miller (1986)",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.2333334320000002},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Flour","Flour",{"$f":"ProcessingIntensityRatio_Low","v":0.1},null,null,null,null,null,null,null,"Canned Sweet Corn","Maize","Processing",2.4,"Pimentel and Hall (1984)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.66666672000000005},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Pulses & Grains"},null,"Cream Long-term","N/A",0.18,"Carlsson-Kanyama and Faist (2000) - 1997",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":5.0000004000000001E-2},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Garlic (green)","Vegetables",{"$f":"ProcessingIntensityRatio_Low","v":0.1},null,null,null,null,null,null,null,"Frozen Packaged Sweet Corn","Maize","Processing",7.6,"Pimentel and Hall (1984)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":2.1111112800000003},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Pulses & Grains"},null,"Milk","N/A",0.46,"Cox and Miller (1986)",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.127777788},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Ginger","Tubers/Root Crops",{"$f":"ProcessingIntensityRatio_Medium","v":0.5},"Assumed per-country electricity grid factor",null,null,null,null,null,null,"Canned Frozen Corn ","Maize","N/A",23.96,"Hendrickson (1996) - 1975-79",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":6.6555560880000009},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Pulses & Grains"},null,"Milk","N/A",0.88,"Cox and Miller (1986)",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.24444446400000003},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Grapes","Fruits",{"$f":"ProcessingIntensityRatio_High","v":1},"Assumed UK natural gas emission factor",null,null,null,null,null,null,"Canned Sweet Corn","Maize","Processing",5.2,"Commission of the European Communities (1981) - 1979",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.4444445600000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Pulses & Grains"},null,"Milk","N/A",0.1,"Xu, Flapper and Kramer (2009) - 2008",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":2.7777780000000002E-2},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Hazelnuts","Nuts/Seeds",{"$f":"ProcessingIntensityRatio_Low","v":0.1},"Relvant crop processing data is averaged, in an attempt to represent the potential range of processing activities which",null,null,null,null,null,null,"Fruits and Vegetables Canned",null,"N/A",0.2,"Andersson, Ohlsson and Olsson (1998) - 1993-94",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":5.5555560000000004E-2},"Vegetables",null,"Milk","N/A",3.1,"Xu, Flapper and Kramer (2009) - 2008",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.86111118000000009},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Lemons","Fruits",{"$f":"ProcessingIntensityRatio_Low","v":0.1},"can vary considerably",null,null,null,null,null,null,"Fruits and Vegetables Canned",null,"N/A",2.41,"Carlsson-Kanyama and Faist (2000) - 1977",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.66944449800000005},"Vegetables",null,"Milk","N/A",1.1000000000000001,"Xu, Flapper and Kramer (2009) - 1993,2007",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.30555558000000005},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Lentils","Pulses & Grains",{"$f":"ProcessingIntensityRatio_Medium","v":0.5},"Modify default electricity and gas kWh according to estimated processing intensity factor",null,null,null,null,null,null,"Fruits and Vegetables Canned",null,"N/A",0.15,"Carlsson-Kanyama and Faist (2000) - 1986",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":4.1666670000000003E-2},"Vegetables",null,"Milk","N/A",2.5,"Xu, Flapper and Kramer (2009) - 2006",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.69444450000000002},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Lettuce","Vegetables",0.5,"Allow for user-defined elec and gas kWh plus a straight processing EF",null,null,null,null,null,null,"Fruits and Vegetables Dried",null,"N/A",1.5,"Wang (2014) - 2001",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.41666670000000006},"Vegetables",null,"Milk","N/A",1.5,"Xu, Flapper and Kramer (2009) - 2006",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.41666670000000006},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Litchi","Fruits",0.5,null,null,null,null,null,null,null,"Fruits and Vegetables Frozen",null,"N/A",0.74,"Wang (2014) - 2001",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.20555557200000002},"Vegetables",null,"Concentrated Milk","N/A",1.3,"Xu and Flapper (2011)- 2009",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.36111114000000005},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Maize","Pulses & Grains",0.5,"Processing intensity factor",null,null,null,null,null,null,"Tomato Juice","Tomatoes","N/A",0.13,"Wang (2014) - 2002",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":3.6111114000000007E-2},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Fruits"},null,"Powder Milk","N/A",4,"Xu and Flapper (2011)- 2004",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.1111112000000001},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Mandarins","Fruits",0.5,"Low",0.1,null,null,null,null,null,"Preserved Mushroom","Mushrooms","N/A",2.9,"Wang (2014) - 2003",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.80555562000000003},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Mycoprotein"},null,"Powder Milk","N/A",9.1999999999999993,"Xu and Flapper (2011)- 2006",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":2.5555557599999998},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Mangoes","Fruits",0.5,"Medium",0.5,null,null,null,null,null,"Yellow Peas","Peas (dry)","Previously soaked and boilder",4,"Carlsson-Kanyama and Faist (2000) - 1998",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.1111112000000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Pulses & Grains"},null,"Powder Milk","N/A",{"$f":"AVERAGE(10.2,20.6)","v":15.4},"Xu and Flapper (2011)- 2007",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":4.2777781200000007},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Meat (cattle)","Animal Protein",0.5,"High",1,null,null,null,null,null,"Green Peas Canned","Peas (dry)","From farm gate to market place - transport, processing and distribution",10.39,"Stanhill (1984)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":2.8861113420000004},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Pulses & Grains"},null,"Powder Milk","N/A",{"$f":"AVERAGE(28.5,190)","v":109.25},"Xu and Flapper (2011)- 2006",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":30.347224650000001},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Meat (chicken)","Animal Protein",{"$f":"ProcessingIntensityRatio_High","v":1},"Categorise specific commodities according to likely processing intensity",null,null,null,null,null,null,"Green Peas Frozen ","Peas (dry)","From farm gate to market place - transport, processing and distribution",11.36,"Stanhill (1984)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":3.1555558079999999},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Pulses & Grains"},null,"Powder Milk","N/A",12.6,"Xu and Flapper (2011)- 2002",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":3.5000002800000001},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Meat (pig)","Animal Protein",{"$f":"ProcessingIntensityRatio_High","v":1},null,null,null,null,null,null,null,"Pickles",null,"N/A",0.48,"Andersson, Ohlsson and Olsson (1998) - 1993-94",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.13333334399999999},"Vegetables",null,"Milk","Processing",0.46,"Foster et al. (2006) - 1999-2003",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.127777788},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Milk (cattle)","Animal Protein",{"$f":"ProcessingIntensityRatio_Medium","v":0.5},"Cotton",null,null,null,null,null,null,"Potato Chips","Potatoes","N/A",1,"Carlsson-Kanyama and Faist (2000) - 1988",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.27777780000000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Tubers/Root Crops"},null,"Milk","N/A",0.5,"Van Alfen (2014) - 2000",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.13888890000000001},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Millet","Pulses & Grains",{"$f":"ProcessingIntensityRatio_Low","v":0.1},"Cotton processing, from fibre into textile - several industry LCAs but little data beyond %",null,null,null,null,null,null,"Potato Chips","Potatoes","N/A",0.9,"Andersson, Ohlsson and Olsson (1998)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.25000002000000004},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Tubers/Root Crops"},null,"Milk","N/A",1.7,"Van Alfen (2014) - 2000",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.47222226},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Mushrooms","Mycoprotein",{"$f":"ProcessingIntensityRatio_Medium","v":0.5},"Reference this paper (which is very reliant on Ecoinvent)",null,null,null,null,null,null,"Potato Chips","Potatoes","N/A",2.1,"Andersson, Ohlsson and Olsson (1998)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.58333338000000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Tubers/Root Crops"},null,"Milk","N/A",1.3,"Van Alfen (2014) - 2000",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.36111114000000005},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Oats","Pulses & Grains",0.5,"https://doi.org/10.3390/fib7120101",null,null,null,null,null,null,"Potato Chips","Potatoes","N/A",1.9,"Cleland, Earle and Boag (1981) - 1980",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.52777782000000006},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Tubers/Root Crops"},null,"Milk","N/A",1.7,"Van Alfen (2014) - 2000",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.47222226},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Olive oil","Nuts/Seeds",0.5,"Comparative Life Cycle Assessment of Cotton and Other Natural Fibers for Textile Applications",null,null,null,null,null,null,"Potato French Fries","Potatoes","Peeling, cooking, freezing and cold storage ",3.7,"Carlsson-Kanyama and Faist (2000) - 1997",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.02777786},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Tubers/Root Crops"},null,"Milk","N/A",0.8,"Van Alfen (2014) - 2000",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.22222224000000002},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Onions (fresh)","Vegetables",0.5,"La Rosa & Grammatikos, 2019",null,null,null,null,null,null,"Potato French Fries","Potatoes","N/A",9,"Andersson, Ohlsson and Olsson (1998) - 1996",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":2.5000002000000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Tubers/Root Crops"},null,"Milk","N/A",0.3,"Van Alfen (2014) - 2002",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":8.3333340000000006E-2},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Onions, dry","Tubers/Root Crops",0.5,null,null,null,null,null,null,null,"Potato Fresh","Potatoes","From farm gate to market place - transport, processing and distribution",2.38,"Stanhill (1984)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.66111116400000003},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Tubers/Root Crops"},null,"Dried Milk","N/A",20.6,"Van Alfen (2014) - 2000",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":5.7222226800000007},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Oranges","Fruits",0.5,"Land occupation (table 4)",null,null,null,null,null,null,"Potato Frozen Chips","Potatoes","From farm gate to market place - transport, processing and distribution",8.4499999999999993,"Stanhill (1984)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":2.3472224100000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Tubers/Root Crops"},null,"Dried Milk","N/A",7.9,"Van Alfen (2014) - 2003",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":2.1944446200000001},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Palm oil","Nuts/Seeds",0.5,"Fibre",null,7261,null,null,null,null,"Potato Dehydrated","Potatoes","From farm gate to market place - transport, processing and distribution",8.56,"Stanhill (1984)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":2.3777779680000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Tubers/Root Crops"},null,"Yoghurt","N/A",0.46,"Foster et al. (2006) - 2000",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.127777788},"Animal Protein"]
[null,"Peanuts","Nuts/Seeds",0.5,"Textile",null,8290,null,null,null,null,"Potato Canned ","Potatoes","N/A",20.93,"Hendrickson (1996) - 1975-77",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":5.8138893540000005},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Tubers/Root Crops"},null,"Fishmeal","N/A",12.1,"Cleland, Earle and Boag (1981) - 1980",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":3.3611113800000001},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":{"$error":"#N/A"}}]
[null,"Pears","Fruits",{"$f":"ProcessingIntensityRatio_Low","v":0.1},"Implies conversion ratio of ",null,{"$f":"G52/G51","v":1.1417160170775376},"(units cotton fibre per unit textile)",null,null,null,"Potato Frozen","Potatoes","N/A",34.770000000000003,"Hendrickson (1996) - 1975-78",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":9.6583341060000016},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Tubers/Root Crops"},null,"Fish Frozen (whole fish and fillets)","Includes refrigeration, storage after processing",0.8,"Cleland, Earle and Boag (1981) - 1980",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.22222224000000002},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Peas (dry)","Pulses & Grains",{"$f":"ProcessingIntensityRatio_Low","v":0.1},"Primary Energy for textile production",null,298,"MJ/tonne (no elec/gas split but assume 100% electricity)",null,null,null,"Potato Dehydrated","Potatoes","N/A",62.1,"Hendrickson (1996) - 1975-79",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":17.25000138},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Tubers/Root Crops"},null,"Processed Fish products ","Includes refrigeration, storage after processing",{"$f":"2.8+2","v":4.8},"Cleland, Earle and Boag (1981) - 1980",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.3333334400000001},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Peppers","Vegetables",{"$f":"ProcessingIntensityRatio_Low","v":0.1},"Electricity for textile production",null,{"$f":"G54*30%","v":89.399999999999991},"MJ electricity",null,null,null,"Spinache Canned",null,"N/A",4.2,"Carlsson-Kanyama and Faist (2000) - 1996",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.16666676},"Vegetables",null,"Meat","Processing",1,"Cleland, Earle and Boag (1981) - 1980",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.27777780000000002},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Pineapples","Fruits",{"$f":"ProcessingIntensityRatio_Low","v":0.1},null,null,null,"Allow for thermal efficiency of elec generation",null,null,null,"Starch Maize","Maize","N/A",1,"Wang (2014) - 2001",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.27777780000000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Pulses & Grains"},null,"Pig","N/A",0.93,"Wang (2014) - 2001",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.25833335400000002},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Pistachios","Nuts/Seeds",{"$f":"ProcessingIntensityRatio_Low","v":0.1},null,null,null,"Also note is PED, primary energy demand, so assume 30% efficiency",null,null,null,"Starch Wheat","Wheat","N/A",2.9,"Wang (2014) - 2001",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.80555562000000003},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Pulses & Grains"},null,"Pig - ham and bacon","Direct use in processing + allocated baseload ",1.8,"Cleland, Earle and Boag (1981)",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.50000004000000009},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Potatoes","Tubers/Root Crops",1,null,null,null,null,null,null,null,"Starch Potato","Potatoes","N/A",1.43,"Wang (2014) - 2002",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.397222254},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Tubers/Root Crops"},null,"Poultry ","N/A - dress carcass weight",0.57999999999999996,"Wang (2014) - 2001",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.16111112399999999},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Quinoa","Nuts/Seeds",1,null,null,null,null,null,null,null,"Tomato Puree, glass packaged","Tomatoes","Processing ",3.05,"Del Borghi et al. (2014)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.84722229000000004},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Fruits"},null,"Poultry - Fresh","N/A",{"$f":"0.61+0.18","v":0.79},"Cleland, Earle and Boag (1981) - 1980",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.21944446200000003},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Rapeseeds","Nuts/Seeds",1,null,null,null,null,null,null,null,"Tomato Puree, glass packaged","Tomatoes","Processing ",5.15,"Del Borghi et al. (2014)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.4305556700000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Fruits"},null,"Poultry - Frozen","N/A",{"$f":"0.61+0.22","v":0.83},"Cleland, Earle and Boag (1981) - 1981",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.23055557400000001},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,"Raspberries","Fruits",1,null,null,null,null,null,null,null,"Tomato Puree, glass packaged","Tomatoes","Processing ",5.38,"Del Borghi et al. (2014)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.4944445640000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Fruits"},null,"Coffee - Instant","N/A",45,"Cleland, Earle and Boag (1981) - 1980",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":12.500001000000001},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Nuts/Seeds"}]
[null,"Rice","Pulses & Grains",{"$f":"ProcessingIntensityRatio_Low","v":0.1},null,null,null,null,null,null,null,"Tomato Puree, glass packaged","Tomatoes","Processing ",4.97,"Del Borghi et al. (2014)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.380555666},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Fruits"},null,"Coffee - Instant","Processing",30.2,"Morawicki and Hager (2014)  2009",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":8.3888895600000009},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Nuts/Seeds"}]
[null,"Rye","Pulses & Grains",0.1,null,null,null,null,null,null,null,"Tomato Puree, carton based packaged ","Tomatoes","Processing ",5.23,"Del Borghi et al. (2014)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.4527778940000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Fruits"}]
[null,"Salmon","Animal Protein",{"$f":"ProcessingIntensityRatio_Medium","v":0.5},null,null,null,null,null,null,null,"Tomato Puree, carton based packaged ","Tomatoes","Processing ",5.79,"Del Borghi et al. (2014)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.608333462},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Fruits"}]
[null,"Sesame seed","Nuts/Seeds",0.1,null,null,null,null,null,null,null,"Tomato Puree, carton based packaged ","Tomatoes","Processing ",6.08,"Del Borghi et al. (2014)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.6888890240000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Fruits"}]
[null,"Shrimp","Animal Protein",0.1,null,null,null,null,null,null,null,"Tomato Copped, packaged","Tomatoes","Processing ",5.19,"Del Borghi et al. (2014)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.4416667820000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Fruits"}]
[null,"Sorghum","Pulses & Grains",0.1,null,null,null,null,null,null,null,"Tomato Copped, packaged","Tomatoes","Processing ",3.68,"Del Borghi et al. (2014)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.022222304},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Fruits"}]
[null,"Soybeans","Pulses & Grains",0.1,null,null,null,null,null,null,null,"Tomato Copped, packaged","Tomatoes","Processing ",3.68,"Del Borghi et al. (2014)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.022222304},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Fruits"}]
[null,"Spinach","Vegetables",0.1,null,null,null,null,null,null,null,"Tomato Peeled, canned ","Tomatoes","Processing ",3.46,"Del Borghi et al. (2014)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.96111118800000006},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Fruits"}]
[null,"Strawberries","Fruits",0.1,null,null,null,null,null,null,null,"Tomato Peeled, canned ","Tomatoes","Processing ",3.46,"Del Borghi et al. (2014)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.96111118800000006},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Fruits"}]
[null,"Sugar cane","Tubers/Root Crops",0.1,null,null,null,null,null,null,null,"Tomato Peeled, canned ","Tomatoes","Processing ",3.25,"Del Borghi et al. (2014)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.9027778500000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Fruits"}]
[null,"Sunflower oil","Nuts/Seeds",0.1,null,null,null,null,null,null,null,"Tomato - primary","Tomatoes","Processing and stoage ",0.11,"Van Hauwermeiren et al. (2007)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":3.0555558000000003E-2},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Fruits"}]
[null,"Sunflower seeds","Nuts/Seeds",0.1,null,null,null,null,null,null,null,"Vegetables Dehydrated",null,"N/A",3.4,"Cleland, Earle and Boag (1981) - 1980",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.94444452000000001},"Vegetables"]
[null,"Sweet peppers","Vegetables",0.1,null,null,null,null,null,null,null,"Vegetables Frozen ",null,"Includes refridgerated storage after processing but prior to distribution ",0.81,"Cleland, Earle and Boag (1981) - 1981",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.22500001800000002},"Vegetables"]
[null,"Sweet potatoes","Tubers/Root Crops",0.1,null,null,null,null,null,null,null,"Butter","Milk (cattle)","N/A",0.46,"Wang (2014) - 2001",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.127777788},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,"Tilapia","Animal Protein",{"$f":"ProcessingIntensityRatio_Medium","v":0.5},null,null,null,null,null,null,null,"Butter","Milk (cattle)","N/A",0.71,"Cox and Miller (1986) - 1981",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.19722223799999999},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,"Tomatoes","Fruits",{"$f":"ProcessingIntensityRatio_Low","v":0.1},null,null,null,null,null,null,null,"Butter","Milk (cattle)","N/A",0.45,"Cox and Miller (1986) - 1979",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.12500001000000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,"Tuna","Animal Protein",{"$f":"ProcessingIntensityRatio_Medium","v":0.5},null,null,null,null,null,null,null,"Butter","Milk (cattle)","N/A",2.1,"Xu and Flapper (2011) - 2004",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.58333338000000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,"Walnuts","Nuts/Seeds",{"$f":"ProcessingIntensityRatio_Low","v":0.1},null,null,null,null,null,null,null,"Butter","Milk (cattle)","N/A",60,"Commission of the European Communities (1981) - 1977",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":16.666668000000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,"Watermelons","Fruits",{"$f":"ProcessingIntensityRatio_Low","v":0.1},null,null,null,null,null,null,null,"Butter","Milk (cattle)","N/A",0.71,"Foster et al. (2006) - 2000",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.19722223799999999},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,"Wheat","Pulses & Grains",{"$f":"ProcessingIntensityRatio_High","v":1},null,null,null,null,null,null,null,"Butter - primary","Milk (cattle)","Processing and Packaging",5.4,"Foster et al. (2006) - 2001",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.5000001200000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,"Yoghurt","Animal Protein",{"$f":"ProcessingIntensityRatio_High","v":1},null,null,null,null,null,null,null,"Butter","Milk (cattle)","N/A",0.6,"Van Alfen (2014) - 2003",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.16666668000000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Cheese","Milk (cattle)","N/A",1.21,"Wang (2014) - 2001",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.33611113800000003},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Cheese","Milk (cattle)","N/A",0.76,"Cox and Miller (1986)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.21111112800000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Cheese","Milk (cattle)","N/A",0.8,"Cox and Miller (1986)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.22222224000000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Cottage Cheese","Milk (cattle)","N/A",0.2,"Carlsson-Kanyama and Faist (2000) - 1986",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":5.5555560000000004E-2},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Mozarella Cheese","Milk (cattle)","Manufacturing",20.5,"Kim et al. (2013)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":5.6944449000000006},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Cheese ","Milk (cattle)","Processing ",13.85,"Lillywhite et al. (2013)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":3.8472225300000003},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Cream Fresh","Milk (cattle)","N/A",0.8,"Carlsson-Kanyama and Faist (2000) - 1997",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.22222224000000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Cream Long-term","Milk (cattle)","N/A",1,"Carlsson-Kanyama and Faist (2000) - 1997",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.27777780000000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",0.2,"Cox and Miller (1986)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":5.5555560000000004E-2},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",0.2,"Cox and Miller (1986)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":5.5555560000000004E-2},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",0.8,"Xu, Flapper and Kramer (2009) - 2005",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.22222224000000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",1.2,"Xu, Flapper and Kramer (2009) - 2005",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.33333336000000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",1.4,"Xu, Flapper and Kramer (2009) - 2005",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.38888892000000003},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",1.5,"Xu, Flapper and Kramer (2009) - 2005",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.41666670000000006},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",0.1,"Xu, Flapper and Kramer (2009) - 2008",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":2.7777780000000002E-2},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",3.2,"Xu, Flapper and Kramer (2009) - 2008",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.88888896000000006},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",0.4,"Xu, Flapper and Kramer (2009) - 2001",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.11111112000000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",1.1000000000000001,"Xu, Flapper and Kramer (2009) - 2001",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.30555558000000005},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",1.2,"Xu, Flapper and Kramer (2009) - 1993,2007",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.33333336000000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",0.2,"Xu, Flapper and Kramer (2009) - 2006",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":5.5555560000000004E-2},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",0.2,"Xu, Flapper and Kramer (2009) - 2006",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":5.5555560000000004E-2},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Powder Milk","Milk (cattle)","Total",{"$f":"AVERAGE(9.5,18)","v":13.75},"Xu and Flapper (2011)- 1998",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":3.8194447500000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Concentrated Milk","Milk (cattle)","N/A",0.4,"Xu and Flapper (2011)- 2009",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.11111112000000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Powder Milk","Milk (cattle)","N/A",0.6,"Xu and Flapper (2011)- 2004",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.16666668000000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Powder Milk","Milk (cattle)","N/A",1.9,"Xu and Flapper (2011)- 2006",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.52777782000000006},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Powder Milk","Milk (cattle)","N/A",1.4,"Xu and Flapper (2011)- 1982",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.38888892000000003},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Powder Milk","Milk (cattle)","N/A",{"$f":"AVERAGE(0.6,31.4)","v":16},"Xu and Flapper (2011)- 2006",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":4.4444448000000003},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Powder Milk","Milk (cattle)","N/A",1.6,"Xu and Flapper (2011)- 2002",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.44444448000000003},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Powder Milk","Milk (cattle)","N/A",0.9,"Xu and Flapper (2011)- 1997",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.25000002000000004},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","Processing",1.4,"Lillywhite et al. (2013)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.38888892000000003},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",1.48,"Hendrickson (1996) - 1979",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.41111114400000004},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Powder Milk","Milk (cattle)","N/A",15,"Commission of the European Communities (1981)- 1977",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":4.1666670000000003},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","Processing",0.2,"Foster et al. (2006) - 1999-2003",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":5.5555560000000004E-2},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",0.2,"Van Alfen (2014) - 2000",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":5.5555560000000004E-2},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",0.5,"Van Alfen (2014) - 2000",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.13888890000000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",0.7,"Van Alfen (2014) - 2000",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.19444446000000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",0.8,"Van Alfen (2014) - 2000",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.22222224000000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",1,"Van Alfen (2014) - 2000",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.27777780000000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",0.2,"Van Alfen (2014) - 2002",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":5.5555560000000004E-2},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Dried Milk","Milk (cattle)","N/A",1.4,"Van Alfen (2014) - 2000",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.38888892000000003},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Yoghurt - primary","Milk (cattle)","N/A",1.2,"Foster et al. (2006) - 2000",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.33333336000000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Yoghurt - primary","Milk (cattle)","Processing",4.5999999999999996,"Foster et al. (2006) - 2004",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.2777778799999999},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Beef - Carcas","Meat (cattle)","Farm to market - transport, processing and distribution",32.200000000000003,"Stanhill (1984)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":8.9444451600000008},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Beef - Deboned meat","Meat (cattle)","N/A",43.3,"Stanhill (1984)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":12.02777874},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Beef","Meat (cattle)","Processing",5.16,"Lillywhite et al. (2013)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.4333334480000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Fishmeal ",null,"N/A",1.3,"Cleland, Earle and Boag (1981) - 1980",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.36111114000000005},"Animal Protein","Special cases"]
[null,null,null,null,null,null,null,null,null,null,null,"Fish Frozen",null,"Includes refrigeration",0.61,"Wang (2014)- 2001",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.16944445800000002},"Animal Protein"]
[null,null,null,null,null,null,null,null,null,null,null,"Fish Frozen (whole fish and fillets)",null,"Includes refrigeration, storage after processing",{"$f":"0.63+2.6","v":3.23},"Cleland, Earle and Boag (1981) - 1980",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.89722229400000009},"Animal Protein"]
[null,null,null,null,null,null,null,null,null,null,null,"Processed Fish products ",null,"Includes refrigeration, storage after processing",{"$f":"1.1+2.1","v":3.2},"Cleland, Earle and Boag (1981) - 1980",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.88888896000000006},"Animal Protein"]
[null,null,null,null,null,null,null,null,null,null,null,"Salmon",null,"Packaging not inlcuded",0.56999999999999995,"Lillywhite et al. (2013)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.15833334599999999},"Animal Protein"]
[null,null,null,null,null,null,null,null,null,null,null,"Frozen fish fingers, cod, packed (primary)",null,"Processing ",6.5,"Foster et al. (2006)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.8055557000000002},"Animal Protein"]
[null,null,null,null,null,null,null,null,null,null,null,"Meat",null,"Processed",3.5,"Cleland, Earle and Boag (1981) - 1980",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.97222230000000009},"Animal Protein"]
[null,null,null,null,null,null,null,null,null,null,null,"Meat",null,"Grinding",0.3,"Carlsson-Kanyama and Faist (2000) - 1997",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":8.3333340000000006E-2},"Animal Protein"]
[null,null,null,null,null,null,null,null,null,null,null,"Meat",null,"N/A",5.05,"Hendrickson (1996)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.4027778900000001},"Animal Protein"]
[null,null,null,null,null,null,null,null,null,null,null,"Meat - Canned",null,"N/A",4,"Commission of the European Communities (1981)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.1111112000000001},"Animal Protein"]
[null,null,null,null,null,null,null,null,null,null,null,"Pig","Meat (pig)","N/A",0.47,"Wang (2014) - 2001",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.13055556600000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Pig - Carcas","Meat (pig)","Farm to market - transport, processing and distribution",52.4,"Stanhill (1984)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":14.55555672},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Pig - Deboned meat ","Meat (pig)","Includes energy inpur for slaughtering",62.5,"Stanhill (1984)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":17.361112500000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Pig - ham and bacon","Meat (pig)","Direct use in processing + allocated baseload ",6.7,"Cleland, Earle and Boag (1981)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.8611112600000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Pork","Meat (pig)","Processing",3,"Lillywhite et al. (2013)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.83333340000000011},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Pork","Meat (pig)","Processing",4,"Lillywhite et al. (2013)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.1111112000000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Poultry ","Meat (chicken)","N/A - dress carcass weight",1.01,"Wang (2014) - 2001",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.28055557800000003},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Poultry - Fresh","Meat (chicken)","N/A",{"$f":"0.11+0.65","v":0.76},"Cleland, Earle and Boag (1981) - 1980",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.21111112800000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Poultry - Frozen","Meat (chicken)","N/A",{"$f":"0.61+0.7","v":1.31},"Cleland, Earle and Boag (1981) - 1981",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.36388891800000006},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,null,"Cocoa Beans","Cocoa","N/A",6.38,"Wang (2014) - 2001",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.7722223640000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Nuts/Seeds"}]
[null,null,null,null,null,null,null,null,null,null,null,"Coffee - Instant","Coffee","N/A",2.7,"Cleland, Earle and Boag (1981) - 1980",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.75000006000000008},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Nuts/Seeds"}]
[null,null,null,null,null,null,null,null,null,null,null,"Coffee - Instant","Coffee","Processing, packaging, shipping",2.5,"Carlsson-Kanyama and Faist (2000) - 1980",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.69444450000000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Nuts/Seeds"}]
[null,null,null,null,null,null,null,null,null,null,null,"Coffee - Instant","Coffee","Processing",8.3000000000000007,"Morawicki and Hager (2014)  2009",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":2.3055557400000004},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Nuts/Seeds"}]
[null,null,null,null,null,null,null,null,null,null,null,"Coffee","Coffee","Processing",23.24,"Lillywhite et al. (2013)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":6.4555560720000003},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Nuts/Seeds"}]
[null,null,null,null,null,null,null,null,null,null,null,"Coffee","Coffee","Packaging",30.71,"Lillywhite et al. (2013)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":8.5305562380000008},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Nuts/Seeds"}]
[null,null,null,null,null,null,null,null,null,null,null,"Coffee - Instant","Coffee","N/A",79.28,"Hendrickson (1996) - 1979",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":22.022223984000004},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Nuts/Seeds"}]
[null,null,null,null,null,null,null,null,null,null,null,"Cotton textile","Cotton","Ginning",{"$f":"$G$55","v":89.399999999999991},{"$f":"$E$48","v":"La Rosa & Grammatikos, 2019"},{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":24.83333532},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Cotton"}]

{"sheet":"GHG Results","index":7,"n_rows":103,"n_cols":12,"rows_kept":103,"cut":false,"hidden":true,"merged":[[44,3,44,5],[45,3,45,5]]}
[null,"GHG Results"]
[null,null,null,null,null,null,null,null,null,{"$f":"storage2LossBefore","v":0}]
[null,null,null,"Farm","Transport","Storage"]
[null,"I. Food loss (tonnage)",null,"Production (post-harvest)","Transport 1","Storage 1 (pre-processing)","Transport 2","Processing","Transport 3","Storage 2 (pre-retail)","Transport 4","Retail"]
[null,null,"Equivalent gross amount before the project per year (tonnes)",{"$f":"D$8/(1-'GHG Results'!D$14)","v":0},{"$f":"E$8/(1-'GHG Results'!E$14)","v":0},{"$f":"F$8/(1-'GHG Results'!F$14)","v":0},{"$f":"G$8/(1-'GHG Results'!G$14)","v":0},{"$f":"H$8/(1-'GHG Results'!H$14)","v":0},{"$f":"I$8/(1-'GHG Results'!I$14)","v":0},{"$f":"J$8/(1-'GHG Results'!J$14)","v":0},{"$f":"K$8/(1-'GHG Results'!K$14)","v":0},{"$f":"L$8/(1-'GHG Results'!L$14)","v":0}]
[null,null,"Equivalent waste before project per year (tonnes)",{"$f":"D$5*'GHG Results'!D$14","v":0},{"$f":"E$5*'GHG Results'!E$14","v":0},{"$f":"F$5*'GHG Results'!F$14","v":0},{"$f":"G$5*'GHG Results'!G$14","v":0},{"$f":"H$5*'GHG Results'!H$14","v":0},{"$f":"I$5*'GHG Results'!I$14","v":0},{"$f":"J$5*'GHG Results'!J$14","v":0},{"$f":"K$5*'GHG Results'!K$14","v":0},{"$f":"L$5*'GHG Results'!L$14","v":0}]
[null,null,"Amount gross of food losses per year (tonnes) - after the project",{"$f":"IF(amountNetAfter=\"Yes\", Interface!$D21/(1-Interface!$F21),Interface!$D21)","v":0},{"$f":"IF(amountNetAfter=\"Yes\", Interface!$D22/(1-Interface!$F22),Interface!$D22)","v":0},{"$f":"IF(amountNetAfter=\"Yes\", Interface!$D23/(1-Interface!$F23),Interface!$D23)","v":0},{"$f":"IF(amountNetAfter=\"Yes\", Interface!$D24/(1-Interface!$F24),Interface!$D24)","v":0},{"$f":"IF(amountNetAfter=\"Yes\", Interface!$D25/(1-Interface!$F25),Interface!$D25)","v":0},{"$f":"IF(amountNetAfter=\"Yes\", Interface!$D26/(1-Interface!$F26),Interface!$D26)","v":0},{"$f":"IF(amountNetAfter=\"Yes\", Interface!$D27/(1-Interface!$F27),Interface!$D27)","v":0},{"$f":"IF(amountNetAfter=\"Yes\", Interface!$D28/(1-Interface!$F28),Interface!$D28)","v":0},{"$f":"IF(amountNetAfter=\"Yes\", Interface!$D29/(1-Interface!$F29),Interface!$D29)","v":0}]
[null,null,"Amount net of food losses per year (tonnes) - after the project",{"$f":"IF(amountNetAfter=\"No\",Interface!$D21*(1-Interface!$F21),Interface!$D21)","v":0},{"$f":"IF(amountNetAfter=\"No\",Interface!$D22*(1-Interface!$F22),Interface!$D22)","v":0},{"$f":"IF(amountNetAfter=\"No\",Interface!$D23*(1-Interface!$F23),Interface!$D23)","v":0},{"$f":"IF(amountNetAfter=\"No\",Interface!$D24*(1-Interface!$F24),Interface!$D24)","v":0},{"$f":"IF(amountNetAfter=\"No\",Interface!$D25*(1-Interface!$F25),Interface!$D25)","v":0},{"$f":"IF(amountNetAfter=\"No\",Interface!$D26*(1-Interface!$F26),Interface!$D26)","v":0},{"$f":"IF(amountNetAfter=\"No\",Interface!$D27*(1-Interface!$F27),Interface!$D27)","v":0},{"$f":"IF(amountNetAfter=\"No\",Interface!$D28*(1-Interface!$F28),Interface!$D28)","v":0},{"$f":"IF(amountNetAfter=\"No\",Interface!$D29*(1-Interface!$F29),Interface!$D29)","v":0}]
[null,null,"Waste after project per year (tonnes)",{"$f":"D$7-D$8","v":0},0,0,0,0,0,0,0,0]
[null,null,"Avoided losses per year (tonnes)",{"$f":"MAX(D6-D9, 0)","v":0},{"$f":"MAX(E6-E9, 0)","v":0},0,0,{"$f":"MAX(H6-H9, 0)","v":0},0,{"$f":"MAX(J6-J9, 0)","v":0},{"$f":"MAX(K6-K9, 0)","v":0},{"$f":"MAX(L6-L9, 0)","v":0}]
[null,null,"Uplift factor based on extraction rates in tonnes per tonne of processed commodity (excl. Meat, eggs, milk & flour):",{"$f":"1/INDEX(ExtractionRates[Extraction rate%],MATCH(commodity,ExtractionRates[IFC Commodity],0))","v":{"$error":"#N/A"}},{"$f":"1/INDEX(ExtractionRates[Extraction rate%],MATCH(commodity,ExtractionRates[IFC Commodity],0))","v":{"$error":"#N/A"}},{"$f":"1/INDEX(ExtractionRates[Extraction rate%],MATCH(commodity,ExtractionRates[IFC Commodity],0))","v":{"$error":"#N/A"}},{"$f":"1/INDEX(ExtractionRates[Extraction rate%],MATCH(commodity,ExtractionRates[IFC Commodity],0))","v":{"$error":"#N/A"}},{"$f":"1/INDEX(ExtractionRates[Extraction rate%],MATCH(commodity,ExtractionRates[IFC Commodity],0))","v":{"$error":"#N/A"}},{"$f":"1/INDEX(ExtractionRates[Extraction rate%],MATCH(commodity,ExtractionRates[IFC Commodity],0))","v":{"$error":"#N/A"}},{"$f":"1/INDEX(ExtractionRates[Extraction rate%],MATCH(commodity,ExtractionRates[IFC Commodity],0))","v":{"$error":"#N/A"}},{"$f":"1/INDEX(ExtractionRates[Extraction rate%],MATCH(commodity,ExtractionRates[IFC Commodity],0))","v":{"$error":"#N/A"}},{"$f":"1/INDEX(ExtractionRates[Extraction rate%],MATCH(commodity,ExtractionRates[IFC Commodity],0))","v":{"$error":"#N/A"}}]
[]
[null,"II. Food loss (rates)",null,"Production (post-harvest)","Transport 1","Storage 1 (pre-processing)","Transport 2","Processing","Transport 3","Storage 2 (pre-retail)","Transport 4","Retail"]
[null,null,"Commodity loss rate before the project (%)",{"$f":"IF(productionSelector,IF(farmLossBefore<>\"\",farmLossBefore,\nIF(D16<>\"\",D16,\nIF(D17<>\"\",D17,\nMIN(IF(D18:D21>0,D18:D21))\n))),0)","v":0},{"$f":"IF(transport1Selector,IF(transportLossBefore<>\"\",\ntransportLossBefore,\n'FL-output'!$I$66),0)","v":0},{"$f":"IF(storage1Selector,IF(storage1LossBefore<>\"\",storage1LossBefore,\nStorage!$I$10*\nIF(F16<>\"\",F16,\nIF(F17<>\"\",F17,\nMIN(IF(F18:F21>0,F18:F21))\n))),0)","v":0},{"$f":"IF(transport2Selector,IF(transport2LossBefore<>\"\",\ntransport2LossBefore,\n'FL-output'!$I$67),0)","v":0},{"$f":"IF(processingSelector,IF(processingLossBefore<>\"\",processingLossBefore,\nIF(H16<>\"\",H16,\nIF(H17<>\"\",H17,\nMIN(IF(H18:H21>0,H18:H21))\n))),0)","v":0},{"$f":"IF(transport3Selector,IF(transport3LossBefore<>\"\",\ntransport3LossBefore,\n'FL-output'!$I$68),0)","v":0},{"$f":"IF(storage2Selector,IF(storage2LossBefore<>\"\",storage2LossBefore,\nStorage!$J$10*\nIF(J16<>\"\",J16,\nIF(J17<>\"\",J17,\nMIN(IF(J18:J21>0,J18:J21))))),0)","v":0},{"$f":"IF(transport4Selector,IF(transport4LossBefore<>\"\",\ntransport4LossBefore,\n'FL-output'!$I$69),0)","v":0},{"$f":"IF(retailSelector,IF(retailLossBefore<>\"\",retailLossBefore,\nIF(L16<>\"\",L16,\nIF(L17<>\"\",L17,\nMIN(IF(L18:L21>0,L18:L21))))),0)","v":0}]
[null,null,"Data source",{"$f":"IF(farmLossBefore<>\"\",\"User input value\",\nIF(D16<>\"\",$C16,\nIF(D17<>\"\",$C17,\nINDEX($C$18:$C$21,MATCH(MIN(D18:D21),D18:D21,0)))))","v":{"$error":"#N/A"}},{"$f":"IF(transportLossBefore<>\"\",\"User input value\",\n\"Weighted average of origin and destination countries\")","v":"Weighted average of origin and destination countries"},{"$f":"IF(storage1LossBefore<>\"\",\n\"User input value\",\nIF(F16<>\"\",$C16,\nIF(F17<>\"\",$C17,\nINDEX($C$18:$C$21,MATCH(MIN(F18:F21),F18:F21,0)))))","v":{"$error":"#N/A"}},{"$f":"IF(transport2Selector,IF(transport2LossBefore<>\"\",\n\"User input value\",\n\"Weighted average of origin and destination countries\"),\"\")","v":""},{"$f":"IF(processingLossBefore<>\"\",\n\"User input value\",\nIF(H16<>\"\",$C16,\nIF(H17<>\"\",$C17,\nINDEX($C$18:$C$21,MATCH(MIN(H18:H21),H18:H21,0)))))","v":{"$error":"#N/A"}},{"$f":"IF(transport3Selector,IF(transport3LossBefore<>\"\",\n\"User input value\",\n\"Weighted average of origin and destination countries\"),\"\")","v":""},{"$f":"IF(transport2Selector,IF(transport2LossBefore<>\"\",\"User input value\",\nIF(J16<>\"\",$C16,\nIF(J17<>\"\",$C17,\nINDEX($C$18:$C$21,MATCH(MIN(J18:J21),J18:J21,0))))),\"\")","v":""},{"$f":"IF(transport4Selector,IF(transport4LossBefore<>\"\",\n\"User input value\",\n\"Weighted average of origin and destination countries\"),\"\")","v":""},{"$f":"IF(retailLossBefore<>\"\",\"User input value\",\nIF(L16<>\"\",$C16,\nIF(L17<>\"\",$C17,\nINDEX($C$18:$C$21,MATCH(MIN(L18:L21),L18:L21,0)))))","v":{"$error":"#N/A"}}]
[null,null,{"$f":"\"IFC custom food loss rate (Country/\"&commodity&\")\"","v":"IFC custom food loss rate (Country/)"},{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(D$13,'FL-output'!$B$25:$B$30,0),MATCH($C16,'FL-output'!$B$25:$N$25,0))","v":""},null,{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(F$13,'FL-output'!$B$25:$B$30,0),MATCH($C16,'FL-output'!$B$25:$N$25,0))","v":""},null,{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(H$13,'FL-output'!$B$25:$B$30,0),MATCH($C16,'FL-output'!$B$25:$N$25,0))","v":""},null,{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(J$13,'FL-output'!$B$25:$B$30,0),MATCH($C16,'FL-output'!$B$25:$N$25,0))","v":""},null,{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(L$13,'FL-output'!$B$25:$B$30,0),MATCH($C16,'FL-output'!$B$25:$N$25,0))","v":""}]
[null,null,{"$f":"\"FAO Food Loss database (Country/\" & commodity &\")\"","v":"FAO Food Loss database (Country/)"},{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(D$13,'FL-output'!$B$25:$B$30,0),MATCH($C17,'FL-output'!$B$25:$N$25,0))","v":""},null,{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(F$13,'FL-output'!$B$25:$B$30,0),MATCH($C17,'FL-output'!$B$25:$N$25,0))","v":""},null,{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(H$13,'FL-output'!$B$25:$B$30,0),MATCH($C17,'FL-output'!$B$25:$N$25,0))","v":""},null,{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(J$13,'FL-output'!$B$25:$B$30,0),MATCH($C17,'FL-output'!$B$25:$N$25,0))","v":""},null,{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(L$13,'FL-output'!$B$25:$B$30,0),MATCH($C17,'FL-output'!$B$25:$N$25,0))","v":""}]
[null,null,{"$f":"\"FAO Food Loss database (Country/\"&commodityGroup&\")\"","v":"FAO Food Loss database (Country/)"},{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(D$13,'FL-output'!$B$25:$B$30,0),MATCH($C18,'FL-output'!$B$25:$N$25,0))","v":""},null,{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(F$13,'FL-output'!$B$25:$B$30,0),MATCH($C18,'FL-output'!$B$25:$N$25,0))","v":""},null,{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(H$13,'FL-output'!$B$25:$B$30,0),MATCH($C18,'FL-output'!$B$25:$N$25,0))","v":""},null,{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(J$13,'FL-output'!$B$25:$B$30,0),MATCH($C18,'FL-output'!$B$25:$N$25,0))","v":""},null,{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(L$13,'FL-output'!$B$25:$B$30,0),MATCH($C18,'FL-output'!$B$25:$N$25,0))","v":""}]
[null,null,{"$f":"\"FAO Food Loss database (UN SubRegion/\"&commodity&\")\"","v":"FAO Food Loss database (UN SubRegion/)"},{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(D$13,'FL-output'!$B$25:$B$30,0),MATCH($C19,'FL-output'!$B$25:$N$25,0))","v":""},null,{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(F$13,'FL-output'!$B$25:$B$30,0),MATCH($C19,'FL-output'!$B$25:$N$25,0))","v":""},null,{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(H$13,'FL-output'!$B$25:$B$30,0),MATCH($C19,'FL-output'!$B$25:$N$25,0))","v":""},null,{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(J$13,'FL-output'!$B$25:$B$30,0),MATCH($C19,'FL-output'!$B$25:$N$25,0))","v":""},null,{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(L$13,'FL-output'!$B$25:$B$30,0),MATCH($C19,'FL-output'!$B$25:$N$25,0))","v":""}]
[null,null,{"$f":"\"FAO Food Loss database (UN SubRegion/\"&impliedFAOcommgroup&\")\"","v":{"$error":"#N/A"}},{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(D$13,'FL-output'!$B$25:$B$30,0),MATCH($C20,'FL-output'!$B$25:$N$25,0))","v":{"$error":"#N/A"}},null,{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(F$13,'FL-output'!$B$25:$B$30,0),MATCH($C20,'FL-output'!$B$25:$N$25,0))","v":{"$error":"#N/A"}},null,{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(H$13,'FL-output'!$B$25:$B$30,0),MATCH($C20,'FL-output'!$B$25:$N$25,0))","v":{"$error":"#N/A"}},null,{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(J$13,'FL-output'!$B$25:$B$30,0),MATCH($C20,'FL-output'!$B$25:$N$25,0))","v":{"$error":"#N/A"}},null,{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(L$13,'FL-output'!$B$25:$B$30,0),MATCH($C20,'FL-output'!$B$25:$N$25,0))","v":{"$error":"#N/A"}}]
[null,null,{"$f":"\"FAO estimate (FAO Region/\" & impliedFAOcommgroup & \")\"","v":{"$error":"#N/A"}},{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(D$13,'FL-output'!$B$25:$B$30,0),MATCH($C21,'FL-output'!$B$25:$N$25,0))","v":{"$error":"#N/A"}},null,{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(F$13,'FL-output'!$B$25:$B$30,0),MATCH($C21,'FL-output'!$B$25:$N$25,0))","v":{"$error":"#N/A"}},null,{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(H$13,'FL-output'!$B$25:$B$30,0),MATCH($C21,'FL-output'!$B$25:$N$25,0))","v":{"$error":"#N/A"}},null,{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(J$13,'FL-output'!$B$25:$B$30,0),MATCH($C21,'FL-output'!$B$25:$N$25,0))","v":{"$error":"#N/A"}},null,{"$f":"INDEX('FL-output'!$B$25:$N$30,MATCH(L$13,'FL-output'!$B$25:$B$30,0),MATCH($C21,'FL-output'!$B$25:$N$25,0))","v":{"$error":"#N/A"}}]
[]
[null,null,"Commodity loss rate after the project (%)",{"$f":"IF(productionSelector,farmLossAfter,\"\")","v":""},{"$f":"IF(transport1Selector,transportLossAfter,\"\")","v":""},{"$f":"IF(storage1Selector,storage1LossAfter,\"\")","v":""},{"$f":"IF(transport2Selector,transport2LossAfter,\"\")","v":""},{"$f":"IF(processingSelector,processingLossAfter,\"\")","v":""},{"$f":"IF(transport3Selector,transport3LossAfter,\"\")","v":""},{"$f":"IF(storage2Selector,storage2LossAfter,\"\")","v":""},{"$f":"IF(transport4Selector,transport4LossAfter,\"\")","v":""},{"$f":"IF(retailSelector,retailLossAfter,\"\")","v":""}]
[]
[null,null,"Food loss rate reduction (%)",{"$f":"(D14-D23)/D14","v":{"$error":"#VALUE!"}},{"$f":"(E14-E23)/E14","v":{"$error":"#VALUE!"}},{"$error":"#VALUE!"},{"$error":"#VALUE!"},{"$error":"#VALUE!"},{"$f":"(I14-I23)/I14","v":{"$error":"#VALUE!"}},{"$error":"#VALUE!"},{"$error":"#VALUE!"},{"$error":"#VALUE!"}]
[]
[null,"III. Equivalent CO2 emission savings",null,"Production (post-harvest)","Transport 1","Storage 1 (pre-processing)","Transport 2","Processing","Transport 3","Storage 2 (pre-retail)","Transport 4","Retail"]
[null,null,"Production equivalent CO2 emissions per year (tonnes)",{"$f":"IF(productionSelector,D10*'Default parameters'!$E$3,0)","v":0},{"$f":"IF(transport1Selector,E10*'Default parameters'!$E$3,0)","v":0},{"$f":"IF(storage1Selector,F10*'Default parameters'!$E$3,0)","v":0},{"$f":"IF(transport2Selector,G10*'Default parameters'!$E$3,0)","v":0},{"$f":"IF(processingSelector,H10*H11*'Default parameters'!$E$3,0)","v":0},{"$f":"IF(transport3Selector,I10*I11*'Default parameters'!$E$3,0)","v":0},{"$f":"IF(storage2Selector,J10*J11*'Default parameters'!$E$3,0)","v":0},{"$f":"IF(transport4Selector,K10*K11*'Default parameters'!$E$3,0)","v":0},{"$f":"IF(retailSelector,L10*L11*'Default parameters'!$E$3,0)","v":0}]
[null,null,"Transport 1 equivalent CO2e emissions per year (tonnes)",0,{"$f":"IF(transport1Selector,E10*'Default parameters'!$L$5,0)","v":0},{"$f":"IF(storage1Selector,F10*'Default parameters'!$L$5,0)","v":0},{"$f":"IF(transport2Selector,G10*'Default parameters'!$L$5,0)","v":0},{"$f":"IF(processingSelector,H10*H11*'Default parameters'!$L$5,0)","v":0},{"$f":"IF(transport3Selector,I10*I11*'Default parameters'!$L$5,0)","v":0},{"$f":"IF(storage2Selector,J10*J11*'Default parameters'!$L$5,0)","v":0},{"$f":"IF(transport4Selector,K10*K11*'Default parameters'!$L$5,0)","v":0},{"$f":"IF(retailSelector,L10*L11*'Default parameters'!$L$5,0)","v":0}]
[null,null,"Storage 1 equivalent CO2 emissions per year (tonnes)",0,0,{"$f":"IF(storage1Selector,F10*'Default parameters'!$L$9,0)","v":0},{"$f":"IF(transport2Selector,G10*'Default parameters'!$L$9,0)","v":0},{"$f":"IF(processingSelector,H10*H11*'Default parameters'!$L$9,0)","v":0},{"$f":"IF(transport3Selector,I10*I11*'Default parameters'!$L$9,0)","v":0},{"$f":"IF(storage2Selector,J10*J11*'Default parameters'!$L$9,0)","v":0},{"$f":"IF(transport4Selector,K10*K11*'Default parameters'!$L$9,0)","v":0},{"$f":"IF(retailSelector,L10*L11*'Default parameters'!$L$9,0)","v":0}]
[null,null,"Transport 2 equivalent CO2e emissions per year (tonnes)",null,null,null,{"$f":"IF(transport2Selector,G10*'Default parameters'!$L$6,0)","v":0},{"$f":"IF(processingSelector,H10*H11*'Default parameters'!$L$6,0)","v":0},{"$f":"IF(transport3Selector,I10*I11*'Default parameters'!$L$6,0)","v":0},{"$f":"IF(storage2Selector,J10*J11*'Default parameters'!$L$6,0)","v":0},{"$f":"IF(transport4Selector,K10*K11*'Default parameters'!$L$6,0)","v":0},{"$f":"IF(retailSelector,L10*L11*'Default parameters'!$L$6,0)","v":0}]
[null,null,"Processing equivalent CO2 emissions per year (tonnes)",null,null,null,null,{"$f":"IF(processingSelector,H10*H11*'Default parameters'!$L$11,0)","v":0},{"$f":"IF(transport3Selector,I10*I11*'Default parameters'!$L$11,0)","v":0},{"$f":"IF(storage2Selector,J10*J11*'Default parameters'!$L$11,0)","v":0},{"$f":"IF(transport4Selector,K10*K11*'Default parameters'!$L$11,0)","v":0},{"$f":"IF(retailSelector,L10*L11*'Default parameters'!$L$11,0)","v":0}]
[null,null,"Transport 3 equivalent CO2 emissions per year (tonnes)",null,null,null,null,null,{"$f":"IF(transport3Selector,I10*'Default parameters'!$L$7,0)","v":0},{"$f":"IF(storage2Selector,J10*'Default parameters'!$L$7,0)","v":0},{"$f":"IF(transport4Selector,K10*'Default parameters'!$L$7,0)","v":0},{"$f":"IF(retailSelector,L10*'Default parameters'!$L$7,0)","v":0}]
[null,null,"Storage 2 equivalent CO2 emissions per year (tonnes)",null,null,null,null,null,null,{"$f":"IF(storage2Selector,J10*'Default parameters'!$L$10,0)","v":0},{"$f":"IF(transport4Selector,K10*'Default parameters'!$L$10,0)","v":0},{"$f":"IF(retailSelector,L10*'Default parameters'!$L$10,0)","v":0}]
[null,null,"Transport 4 equivalent CO2e emissions per year (tonnes)",null,null,null,null,null,null,null,{"$f":"IF(transport4Selector,K10*'Default parameters'!$L$8,0)","v":0},{"$f":"IF(retailSelector,L10*'Default parameters'!$L$8,0)","v":0}]
[null,null,"Retail/Distribution equivalent CO2 emissions per year (tonnes)",null,null,null,null,null,null,null,null,{"$f":"IF(retailSelector,'Default parameters'!L12*L10,0)","v":0}]
[null,null,"Landfill equivalent CO2 emissions per year (tonnes)",{"$f":"IF(productionSelector,INDEX(LandfillEmissions[Landfill CO2e emissions per year (tonnes)],MATCH('GHG Results'!D$27,LandfillEmissions[Value chain stage],0)),0)","v":0},{"$f":"IF(transport1Selector,INDEX(LandfillEmissions[Landfill CO2e emissions per year (tonnes)],MATCH('GHG Results'!E$27,LandfillEmissions[Value chain stage],0)),0)","v":0},{"$f":"IF(storage1Selector,INDEX(LandfillEmissions[Landfill CO2e emissions per year (tonnes)],MATCH('GHG Results'!F$27,LandfillEmissions[Value chain stage],0)),0)","v":0},{"$f":"IF(transport2Selector,INDEX(LandfillEmissions[Landfill CO2e emissions per year (tonnes)],MATCH('GHG Results'!G$27,LandfillEmissions[Value chain stage],0)),0)","v":0},{"$f":"IF(processingSelector,INDEX(LandfillEmissions[Landfill CO2e emissions per year (tonnes)],MATCH('GHG Results'!H$27,LandfillEmissions[Value chain stage],0)),0)","v":0},{"$f":"IF(transport3Selector,INDEX(LandfillEmissions[Landfill CO2e emissions per year (tonnes)],MATCH('GHG Results'!I$27,LandfillEmissions[Value chain stage],0)),0)","v":0},{"$f":"IF(storage2Selector,INDEX(LandfillEmissions[Landfill CO2e emissions per year (tonnes)],MATCH('GHG Results'!J$27,LandfillEmissions[Value chain stage],0)),0)","v":0},{"$f":"IF(transport4Selector,INDEX(LandfillEmissions[Landfill CO2e emissions per year (tonnes)],MATCH('GHG Results'!K$27,LandfillEmissions[Value chain stage],0)),0)","v":0},{"$f":"IF(retailSelector,INDEX(LandfillEmissions[Landfill CO2e emissions per year (tonnes)],MATCH('GHG Results'!L$27,LandfillEmissions[Value chain stage],0)),0)","v":0}]
[null,null,"Upstream equivalent CO2 emissions per year (tonnes)",0,{"$f":"IF(noPreProcessing,0,E28)","v":0},{"$f":"IF(noPreProcessing,0,SUM(F28,F29))","v":0},{"$f":"IF(noPreProcessing,0,SUM(G28,G29,G30))","v":0},{"$f":"SUM(H28,H29:H31)","v":0},{"$f":"SUM(I28,I29:I32)","v":0},{"$f":"SUM(J28,J29:J33)","v":0},{"$f":"SUM(K28,K29:K34)","v":0},{"$f":"SUM(L28,L29:L35)","v":0}]
[null,null,"TOTAL stage equivalent CO2 emissions per year (tonnes)",{"$f":"IF(noPreProcessing,0,SUM(D28:D37))","v":0},{"$f":"IF(noPreProcessing,0,SUM(E28:E37))","v":0},{"$f":"IF(noPreProcessing,0,SUM(F28:F37))","v":0},{"$f":"IF(noPreProcessing,0,SUM(G28:G37))","v":0},{"$f":"SUM(H28:H37)","v":0},{"$f":"SUM(I28:I37)","v":0},{"$f":"SUM(J28:J37)","v":0},{"$f":"SUM(K28:K37)","v":0},{"$f":"SUM(L28:L37)","v":0}]
[null,null,"Cumulative equivalent GhG emissions saved per year (tonnes CO2e)",{"$f":"D39","v":0},{"$f":"IF(noPreProcessing,0,IF(productionSelector,D40,0))\n+IF(transport1Selector,E39,0)","v":0},{"$f":"IF(noPreProcessing,0,IF(productionSelector,D40,0))\n+IF(transport1Selector,E40-D40,0)\n+IF(storage1Selector,F39,0)","v":0},{"$f":"IF(noPreProcessing,0,IF(productionSelector,D40,0))\n+IF(transport1Selector,E40-D40,0)\n+IF(storage1Selector,F40-E40,0)\n+IF(transport2Selector,G39,0)","v":0},{"$f":"IF(productionSelector,D40,0)\n+IF(transport1Selector,E40-D40,0)\n+IF(storage1Selector,F40-E40,0)\n+IF(transport2Selector,G40-F40,0)\n+IF(processingSelector,H39,0)","v":0},{"$f":"IF(productionSelector,D40,0)\n+IF(transport1Selector,E40-D40,0)\n+IF(storage1Selector,F40-E40,0)\n+IF(transport2Selector,G40-F40,0)\n+IF(processingSelector,H40-G40,0)\n+IF(transport3Selector,I39,0)","v":0},{"$f":"IF(productionSelector,D40,0)\n+IF(transport1Selector,E40-D40,0)\n+IF(storage1Selector,F40-E40,0)\n+IF(transport2Selector,G40-F40,0)\n+IF(processingSelector,H40-G40,0)\n+IF(transport3Selector,I40-H40,0)\n+IF(storage2Selector,J39,0)","v":0},{"$f":"IF(productionSelector,D40,0)\n+IF(transport1Selector,E40-D40,0)\n+IF(storage1Selector,F40-E40,0)\n+IF(transport2Selector,G40-F40,0)\n+IF(processingSelector,H40-G40,0)\n+IF(transport3Selector,I40-H40,0)\n+IF(storage2Selector,J40-I40,0)\n+IF(transport4Selector,K39,0)","v":0},{"$f":"IF(productionSelector,D40,0)\n+IF(transport1Selector,E40-D40,0)\n+IF(storage1Selector,F40-E40,0)\n+IF(transport2Selector,G40-F40,0)\n+IF(processingSelector,H40-G40,0)\n+IF(transport3Selector,I40-H40,0)\n+IF(storage2Selector,J40-I40,0)\n+IF(transport4Selector,K40-J40,0)\n+IF(retailSelector,L39,0)","v":0}]
[]
[null,null,"Emissions from CH4 (CO2e)",{"$f":"IF(noPreProcessing,0,IF(productionSelector,D$10*'Default parameters'!F3,0)+D37)","v":0},{"$f":"IF(noPreProcessing,0,IF(transport1Selector,(E$10*'Default parameters'!$F$3)+(E$10*'Default parameters'!$N$5)+E$37,0))","v":0},{"$f":"IF(noPreProcessing,0,IF(storage1Selector,(F$10*'Default parameters'!$F$3)+(F$10*'Default parameters'!$N$5)+F$37,0))","v":0},{"$f":"IF(noPreProcessing,0,IF(transport2Selector,(G$10*'Default parameters'!$F$3)+(G$10*'Default parameters'!$N$6)+G$37,0))","v":0},{"$f":"IF(processingSelector,(H$10*'Default parameters'!$F$3)+(H$10*'Default parameters'!$N$5)+H$37,0)","v":0},{"$f":"IF(transport3Selector,(I$10*'Default parameters'!$F$3)+(I$10*'Default parameters'!$N$7)+I$37,0)","v":0},{"$f":"IF(storage2Selector,(J$10*'Default parameters'!$F$3)+(J$10*'Default parameters'!$N$6)+(J$10*'Default parameters'!$N$5)+J$37,0)","v":0},{"$f":"IF(transport4Selector,(K$10*'Default parameters'!$F$3)+(K$10*'Default parameters'!$N$8)+K$37,0)","v":0},{"$f":"IF(retailSelector,(L$10*'Default parameters'!$F$3)+(L$10*'Default parameters'!$N$5)+(J$10*'Default parameters'!$N$6)+L$37,0)","v":0}]
[null,null,"Emissions from N2O (CO2e)",{"$f":"IF(noPreProcessing,0,IF(productionSelector,D$10*'Default parameters'!G3,0))","v":0},{"$f":"IF(noPreProcessing,0,IF(transport1Selector,(E$10*'Default parameters'!$G$3)+(E$10*'Default parameters'!$O$5),0))","v":0},{"$f":"IF(noPreProcessing,0,IF(storage1Selector,(F$10*'Default parameters'!$G$3)+(F$10*'Default parameters'!$O$5),0))","v":0},{"$f":"IF(noPreProcessing,0,IF(transport2Selector,(G$10*'Default parameters'!$G$3)+(G$10*'Default parameters'!$O$6),0))","v":0},{"$f":"IF(processingSelector,(H$10*'Default parameters'!$G$3)+(H$10*'Default parameters'!$O$5),0)","v":0},{"$f":"IF(transport3Selector,(I$10*'Default parameters'!$G$3)+(I$10*'Default parameters'!$O$7),0)","v":0},{"$f":"IF(storage2Selector,(J$10*'Default parameters'!$G$3)+(J$10*'Default parameters'!$O$5)+(J$10*'Default parameters'!$O$6),0)","v":0},{"$f":"IF(transport4Selector,(K$10*'Default parameters'!$G$3)+(K$10*'Default parameters'!$O$8),0)","v":0},{"$f":"IF(retailSelector,(L$10*'Default parameters'!$G$3)+(L$10*'Default parameters'!$O$5)+(J$10*'Default parameters'!$O$6),0)","v":0}]
[]
[null,null,"Additional  comments",{"$f":"CONCATENATE(\"Emission Factor: '\",'Default parameters'!E4,\"' was used. \",IF('Default parameters'!E4=\"User defined Emission Factor\", \"\",\"If available, please provide commodity Emission Factor for target country.\"))","v":{"$error":"#N/A"}}]
[null,null,null,{"$f":"IF(noPreProcessing,\"Note that meat and flour only include losses during and/or after processing\",\"\")","v":""}]
[]
[null,"IV. Equivalent land area saved",null,"Section not applicable for animal proteins"]
[]
[]
[null,"Checks"]
[null,{"$f":"IF(commodityGroup=\"Animal Protein\",CONCATENATE(commodity, \" \", farmingType),\"\")","v":""}]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[null,null,"Upstream = emissions due to producing or transporting food lost during transport or storage"]
[null,null,"Direct = emissions incurred specifically duing the stage"]

{"sheet":"Default data","index":8,"n_rows":139,"n_cols":8,"rows_kept":139,"cut":false,"hidden":true,"merged":[]}
[]
[null,"Commodity group",{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(commodity,IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":""}]
[]
[null,"Advanced Post-harvest Production Details (Optional)"]
[]
[null,"Option a) Emission factor"]
[null,"Emissions per tonne",{"$f":"IF(commodityGroup=\"Animal Protein\",'Default parameters'!E21,'Default parameters'!E12)","v":{"$error":"#N/A"}}]
[null,"% of CO2e coming from CH4",{"$f":"IF(commodityGroup=\"Animal Protein\",'Default parameters'!F20,'Default parameters'!F11)","v":{"$error":"#N/A"}}]
[null,"% of CO2e coming from N2O",{"$f":"IF(commodityGroup=\"Animal Protein\",'Default parameters'!G20,'Default parameters'!G11)","v":{"$error":"#N/A"}}]
[]
[null,"Option b) Synthetic Fertilizer information"]
[null,"Nitrogen Applied to Synthetic Fertilizer",{"$f":"IF(commodityGroup=\"Animal Protein\",\"N/A for animal protein\",INDEX(defaultNorYield[],MATCH(countryOfProduction,defaultNorYield[Country],0),6))","v":{"$error":"#N/A"}}]
[null,"Unit of Measurement for Nitrogen","kg of Nitrogen per tonne of production (kg N/tonne)"]
[null,"Yield per Year",{"$f":"IF(commodityGroup=\"Animal Protein\",\"N/A for animal protein\",INDEX(defaultNorYield[],MATCH(countryOfProduction,defaultNorYield[Country],0),8))","v":{"$error":"#N/A"}}]
[]
[null,"Advanced Storage 1 (pre-processing) Details (Optional)"]
[]
[null,"Option a) Emission factor"]
[null,"Emissions per tonne",{"$f":"'Default parameters'!L9","v":{"$error":"#N/A"}}]
[]
[null,"Option b) Information on temperature control"]
[null,"Is any dedicated storage ambient or temperature controlled, heated and/or chilled",{"$f":"IFERROR(IF(INDEX(isChilledTable[Chilled?],MATCH(commodity,isChilledTable[Crop],0))=\"y\",\"Yes\",\"No\"),\"No\")","v":"No"}]
[]
[null,"Option c) Information on time in storage and energy consumption"]
[null,"Time in Storage",{"$f":"Storage!C5","v":0}]
[null,"Electricity consumption",{"$f":"Storage!C6","v":{"$error":"#N/A"}}]
[null,"Natural gas consumption",{"$f":"Storage!C7","v":{"$error":"#N/A"}}]
[]
[null,"Advanced Processing Details (Optional)"]
[]
[null,"Option a) Emission factor"]
[null,"Emissions per tonne",{"$f":"IFERROR(INDEX(CommodityGroupUserOrDefaultEnergyData[Current EF kgCO2e/kg],MATCH(commodityGroup,CommodityGroupUserOrDefaultEnergyData[Unique Groups],0)),\"\")","v":""}," tonnes CO2e per tonne"]
[]
[null,"Option b) Information on energy consumption"]
[null,"Electricity consumption",{"$f":"INDEX(CommodityGroupEnergyPerKg[],MATCH(commodityGroup,CommodityGroupEnergyPerKg[Unique Groups],0),2)","v":{"$error":"#N/A"}}]
[null,"Natural gas consumption",{"$f":"INDEX(CommodityGroupEnergyPerKg[],MATCH(commodityGroup,CommodityGroupEnergyPerKg[Unique Groups],0),4)","v":{"$error":"#N/A"}}]
[]
[null,"Advanced Storage 2 (post-processing) Details (Optional)"]
[]
[null,"Please fill in data for one of the following options:"]
[]
[null,"Option a) Emission factor"]
[null,"Emissions per tonne",{"$f":"'Default parameters'!L10","v":{"$error":"#N/A"}}]
[]
[null,"Option b) Information on temperature control"]
[null,"Is any dedicated storage ambient or temperature controlled, heated and/or chilled",{"$f":"IFERROR(IF(INDEX(isChilledTable[Chilled?],MATCH(commodity,isChilledTable[Crop],0))=\"y\",\"Yes\",\"No\"),\"No\")","v":"No"}]
[]
[null,"Option c) Information on time in storage and energy consumption"]
[null,"Time in Storage",{"$f":"Storage!D5","v":0}]
[null,"Electricity consumption",{"$f":"Storage!D6","v":{"$error":"#N/A"}}]
[null,"Natural gas consumption",{"$f":"Storage!D7","v":{"$error":"#N/A"}}]
[]
[null,"Advanced Retail Details (Optional)"]
[]
[null,"Please fill in data for one of the following options:"]
[]
[null,"Option a) Emission factor"]
[null,"Emissions per tonne",{"$f":"IFERROR(INDEX(StoreEF[],MATCH(CONCATENATE(countryOfRetail,commodityGroup),StoreEF[CONCAT],0),6),\"\")","v":""}," tonnes CO2e per tonne"]
[]
[null,"Option b) Information on store type"]
[null,"Store type",{"$f":"Retail!B34","v":"Superstore (1400 to 5000 m2)"}]
[]
[null,"Advanced Landfill Details (Optional)"]
[]
[null,null,null,null,"A) Emission factor",null,"B) Landfill type and climate"]
[null,null,"Food losses going to landfill or thrown away along the supply chain (%)",null,"Emissions per tonne of commodity going to landfill",null,"Landfill Type","Climate Zone"]
[null,"Production (post-harvest)",{"$f":"'LF-Calcs'!N40","v":{"$error":"#N/A"}},null,{"$f":"landfillEmissionsPerTonneDefault","v":0},null,null,{"$f":"'LF-Calcs'!D40","v":{"$error":"#N/A"}}]
[null,"Transport 1",{"$f":"'LF-Calcs'!N41","v":{"$error":"#N/A"}},null,{"$f":"landfillEmissionsPerTonneTR1Default","v":0},null,null,{"$f":"'LF-Calcs'!D41","v":{"$error":"#N/A"}}]
[null,"Storage 1 (pre-processing)",{"$f":"'LF-Calcs'!N42","v":{"$error":"#N/A"}},null,{"$f":"landfillEmissionsPerTonneStorage1Default","v":0},null,null,{"$f":"'LF-Calcs'!D42","v":{"$error":"#N/A"}}]
[null,"Transport 2",{"$f":"'LF-Calcs'!N43","v":{"$error":"#N/A"}},null,{"$f":"landfillEmissionsPerTonneTR2Default","v":0},null,null,{"$f":"'LF-Calcs'!D43","v":{"$error":"#N/A"}}]
[null,"Processing",{"$f":"'LF-Calcs'!N44","v":{"$error":"#N/A"}},null,{"$f":"landfillEmissionsPerTonneProcessingDefault","v":0},null,null,{"$f":"'LF-Calcs'!D44","v":{"$error":"#N/A"}}]
[null,"Transport 3",{"$f":"'LF-Calcs'!N45","v":{"$error":"#N/A"}},null,{"$f":"landfillEmissionsPerTonneTR3Default","v":0},null,null,{"$f":"'LF-Calcs'!D45","v":{"$error":"#N/A"}}]
[null,"Storage 2 (pre-retail)",{"$f":"'LF-Calcs'!N46","v":{"$error":"#N/A"}},null,{"$f":"landfillEmissionsPerTonneStorage2Default","v":0},null,null,{"$f":"'LF-Calcs'!D46","v":{"$error":"#N/A"}}]
[null,"Transport 4",{"$f":"'LF-Calcs'!N47","v":{"$error":"#N/A"}},null,{"$f":"landfillEmissionsPerTonneTR4Default","v":0},null,null,{"$f":"'LF-Calcs'!D47","v":{"$error":"#N/A"}}]
[null,"Retail",{"$f":"'LF-Calcs'!N48","v":{"$error":"#N/A"}},null,{"$f":"landfillEmissionsPerTonneRetailDefault","v":0},null,null,{"$f":"'LF-Calcs'!D48","v":{"$error":"#N/A"}}]
[]
[null,"Advanced Transportation 1 Details (Optional)"]
[]
[null,null,"Within origin country","Between countries","Within destination country"]
[null,"Distance travelled by the merchandise in the selected country. (If the dedicated storage site is the same as production put 0. Leave blank to apply the national average.)",{"$f":"'TR-1'!C$19","v":{"$error":"#N/A"}},{"$f":"'TR-1'!G$19","v":{"$error":"#N/A"}},{"$f":"'TR-1'!K$19","v":{"$error":"#N/A"}}]
[]
[null,"Option a) Emission factor"]
[null,"Emissions factor type","Trip emissions (kg CO2e/tonne.km)","Trip emissions (kg CO2e/tonne.km)","Trip emissions (kg CO2e/tonne.km)"]
[null,"Emissions factor value",{"$f":"'TR-1'!E$56","v":{"$error":"#N/A"}},{"$f":"'TR-1'!I$56","v":{"$error":"#N/A"}},{"$f":"'TR-1'!M$56","v":{"$error":"#N/A"}}]
[]
[null,"Option b) Information on transportation mode"]
[null,"Transport mode",{"$f":"'TR-1'!C20","v":"Truck"},{"$f":"'TR-1'!G20","v":{"$error":"#N/A"}},{"$f":"'TR-1'!K20","v":"Truck"}]
[null,"Fuel type",{"$f":"'TR-1'!C21","v":"Diesel"},{"$f":"'TR-1'!G21","v":{"$error":"#N/A"}},{"$f":"'TR-1'!K21","v":"Diesel"}]
[null,"Category",{"$f":"'TR-1'!C22","v":{"$error":"#N/A"}},{"$f":"'TR-1'!G22","v":{"$error":"#N/A"}},{"$f":"'TR-1'!K22","v":{"$error":"#N/A"}}]
[null,"Temperature control",{"$f":"'TR-1'!C23","v":{"$error":"#N/A"}},{"$f":"'TR-1'!G23","v":{"$error":"#N/A"}},{"$f":"'TR-1'!K23","v":{"$error":"#N/A"}}]
[null,"Road conditions",{"$f":"IF(OR(transport1ModeSelection1Default=\"Rail\",transport1ModeSelection1Default=\"Ship\",transport1ModeSelection1Default=\"Freight Flight\",transport1ModeSelection1Default=\"Non-motorized\"),\"Not applicable\",INDEX(RoadConditionTable[Road conditions],MATCH(TR1OgCountry,RoadConditionTable[Country],0)))","v":{"$error":"#N/A"}},{"$f":"IF(OR(transport1ModeSelection2Default=\"Rail\",transport1ModeSelection2Default=\"Ship\",transport1ModeSelection2Default=\"Freight Flight\",transport1ModeSelection2Default=\"Non-motorized\",transport1ModeSelection2Default=0),\"Not applicable\",transport1ConditionsSelection1Default)","v":{"$error":"#N/A"}},{"$f":"IF(OR(transport1ModeSelection3Default=\"Rail\",transport1ModeSelection3Default=\"Ship\",transport1ModeSelection3Default=\"Freight Flight\",transport1ModeSelection3Default=\"Non-motorized\"),\"Not applicable\",INDEX(RoadConditionTable[Road conditions],MATCH(TR1DestCountry,RoadConditionTable[Country],0)))","v":{"$error":"#N/A"}}]
[]
[null,"Advanced Transportation 2 Details (Optional)"]
[]
[null,null,"Within origin country","Between countries","Within destination country"]
[null,"Distance travelled by the merchandise in the selected country (leave blank to apply the national average.)",{"$f":"'TR-2'!C$19","v":{"$error":"#N/A"}},{"$f":"'TR-2'!G$19","v":{"$error":"#N/A"}},{"$f":"'TR-2'!K$19","v":{"$error":"#N/A"}}]
[]
[null,"Option a) Emission factor"]
[null,"Emissions factor type","Trip emissions (kg CO2e/tonne.km)","Trip emissions (kg CO2e/tonne.km)","Trip emissions (kg CO2e/tonne.km)"]
[null,"Emissions factor value (kgCO2e/tonne.km)",{"$f":"'TR-2'!E$56","v":{"$error":"#N/A"}},{"$f":"'TR-2'!I$56","v":{"$error":"#N/A"}},{"$f":"'TR-2'!M$56","v":{"$error":"#N/A"}}]
[]
[null,"Option b) Information on transportation mode"]
[null,"Transport mode",{"$f":"'TR-2'!C20","v":"Truck"},{"$f":"'TR-2'!G20","v":{"$error":"#N/A"}},{"$f":"'TR-2'!K20","v":"Truck"}]
[null,"Fuel type",{"$f":"'TR-2'!C21","v":"Diesel"},{"$f":"'TR-2'!G21","v":{"$error":"#N/A"}},{"$f":"'TR-2'!K21","v":"Diesel"}]
[null,"Category",{"$f":"'TR-2'!C22","v":{"$error":"#N/A"}},{"$f":"'TR-2'!G22","v":{"$error":"#N/A"}},{"$f":"'TR-2'!K22","v":{"$error":"#N/A"}}]
[null,"Temperature control",{"$f":"'TR-2'!C23","v":{"$error":"#N/A"}},{"$f":"'TR-2'!G23","v":{"$error":"#N/A"}},{"$f":"'TR-2'!K23","v":{"$error":"#N/A"}}]
[null,"Road conditions",{"$f":"IF(OR(transport2ModeSelection1Default=\"Rail\",transport2ModeSelection1Default=\"Ship\",transport2ModeSelection1Default=\"Freight Flight\",transport2ModeSelection1Default=\"Non-motorized\"),\"Not applicable\",INDEX(RoadConditionTable[Road conditions],MATCH(TR2OgCountry,RoadConditionTable[Country],0)))","v":{"$error":"#N/A"}},{"$f":"IF(OR(transport2ModeSelection2Default=\"Rail\",transport2ModeSelection2Default=\"Ship\",transport2ModeSelection2Default=\"Freight Flight\",transport2ModeSelection2Default=\"Non-motorized\",transport2ModeSelection2Default=0),\"Not applicable\",transport2ConditionsSelection1Default)","v":{"$error":"#N/A"}},{"$f":"IF(OR(transport2ModeSelection3Default=\"Rail\",transport2ModeSelection3Default=\"Ship\",transport2ModeSelection3Default=\"Freight Flight\",transport2ModeSelection3Default=\"Non-motorized\"),\"Not applicable\",INDEX(RoadConditionTable[Road conditions],MATCH(TR2DestCountry,RoadConditionTable[Country],0)))","v":{"$error":"#N/A"}}]
[]
[null,"Advanced Transportation 3 Details (Optional)"]
[]
[null,null,"Within origin country","Between countries","Within destination country"]
[null,"Distance travelled by the merchandise in the selected country. (If the dedicated storage site is the same as production put 0. Leave blank to apply the national average.)",{"$f":"'TR-3'!C$19","v":{"$error":"#N/A"}},{"$f":"'TR-3'!G$19","v":{"$error":"#N/A"}},{"$f":"'TR-3'!K$19","v":{"$error":"#N/A"}}]
[]
[null,"Option a) Emission factor"]
[null,"Emissions factor type","Trip emissions (kg CO2e/tonne.km)","Trip emissions (kg CO2e/tonne.km)","Trip emissions (kg CO2e/tonne.km)"]
[null,"Emissions factor value",{"$f":"'TR-3'!E$56","v":{"$error":"#N/A"}},{"$f":"'TR-3'!I$56","v":{"$error":"#N/A"}},{"$f":"'TR-3'!M$56","v":{"$error":"#N/A"}}]
[]
[null,"Option b) Information on transportation mode"]
[null,"Transport mode",{"$f":"'TR-3'!C20","v":"Truck"},{"$f":"'TR-3'!G20","v":{"$error":"#N/A"}},{"$f":"'TR-3'!K20","v":"Truck"}]
[null,"Fuel type",{"$f":"'TR-3'!C21","v":"Diesel"},{"$f":"'TR-3'!G21","v":{"$error":"#N/A"}},{"$f":"'TR-3'!K21","v":"Diesel"}]
[null,"Category",{"$f":"'TR-3'!C22","v":{"$error":"#N/A"}},{"$f":"'TR-3'!G22","v":{"$error":"#N/A"}},{"$f":"'TR-3'!K22","v":{"$error":"#N/A"}}]
[null,"Temperature control",{"$f":"'TR-3'!C23","v":{"$error":"#N/A"}},{"$f":"'TR-3'!G23","v":{"$error":"#N/A"}},{"$f":"'TR-3'!K23","v":{"$error":"#N/A"}}]
[null,"Road conditions",{"$f":"IF(OR(transport3ModeSelection1Default=\"Rail\",transport3ModeSelection1Default=\"Ship\",transport3ModeSelection1Default=\"Freight Flight\",transport3ModeSelection1Default=\"Non-motorized\"),\"Not applicable\",INDEX(RoadConditionTable[Road conditions],MATCH(TR3OgCountry,RoadConditionTable[Country],0)))","v":{"$error":"#N/A"}},{"$f":"IF(OR(transport3ModeSelection2Default=\"Rail\",transport3ModeSelection2Default=\"Ship\",transport3ModeSelection2Default=\"Freight Flight\",transport3ModeSelection2Default=\"Non-motorized\",transport3ModeSelection2Default=0),\"Not applicable\",transport3ConditionsSelection1Default)","v":{"$error":"#N/A"}},{"$f":"IF(OR(transport3ModeSelection3Default=\"Rail\",transport3ModeSelection3Default=\"Ship\",transport3ModeSelection3Default=\"Freight Flight\",transport3ModeSelection3Default=\"Non-motorized\"),\"Not applicable\",INDEX(RoadConditionTable[Road conditions],MATCH(TR3DestCountry,RoadConditionTable[Country],0)))","v":{"$error":"#N/A"}}]
[]
[null,"Advanced Transportation 4 Details (Optional)"]
[]
[null,null,"Within origin country","Between countries","Within destination country"]
[null,"Distance travelled by the merchandise in the selected country. (If the dedicated storage site is the same as production put 0. Leave blank to apply the national average.)",{"$f":"'TR-4'!C$19","v":{"$error":"#N/A"}},{"$f":"'TR-4'!G$19","v":{"$error":"#N/A"}},{"$f":"'TR-4'!K$19","v":{"$error":"#N/A"}}]
[]
[null,"Option a) Emission factor"]
[null,"Emissions factor type","Trip emissions (kg CO2e/tonne.km)","Trip emissions (kg CO2e/tonne.km)","Trip emissions (kg CO2e/tonne.km)"]
[null,"Emissions factor value",{"$f":"'TR-4'!E$56","v":{"$error":"#N/A"}},{"$f":"'TR-4'!I$56","v":{"$error":"#N/A"}},{"$f":"'TR-4'!M$56","v":{"$error":"#N/A"}}]
[]
[null,"Option b) Information on transportation mode"]
[null,"Transport mode",{"$f":"'TR-4'!C20","v":"Truck"},{"$f":"'TR-4'!G20","v":{"$error":"#N/A"}},{"$f":"'TR-4'!K20","v":"Truck"}]
[null,"Fuel type",{"$f":"'TR-4'!C21","v":"Diesel"},{"$f":"'TR-4'!G21","v":{"$error":"#N/A"}},{"$f":"'TR-4'!K21","v":"Diesel"}]
[null,"Category",{"$f":"'TR-4'!C22","v":{"$error":"#N/A"}},{"$f":"'TR-4'!G22","v":{"$error":"#N/A"}},{"$f":"'TR-4'!K22","v":{"$error":"#N/A"}}]
[null,"Temperature control",{"$f":"'TR-4'!C23","v":{"$error":"#N/A"}},{"$f":"'TR-4'!G23","v":{"$error":"#N/A"}},{"$f":"'TR-4'!K23","v":{"$error":"#N/A"}}]
[null,"Road conditions",{"$f":"IF(OR(transport4ModeSelection1Default=\"Rail\",transport4ModeSelection1Default=\"Ship\",transport4ModeSelection1Default=\"Freight Flight\",transport4ModeSelection1Default=\"Non-motorized\"),\"Not applicable\",INDEX(RoadConditionTable[Road conditions],MATCH(TR4OgCountry,RoadConditionTable[Country],0)))","v":{"$error":"#N/A"}},{"$f":"IF(OR(transport4ModeSelection2Default=\"Rail\",transport4ModeSelection2Default=\"Ship\",transport4ModeSelection2Default=\"Freight Flight\",transport4ModeSelection2Default=\"Non-motorized\",transport4ModeSelection2Default=0),\"Not applicable\",transport4ConditionsSelection1Default)","v":{"$error":"#N/A"}},{"$f":"IF(OR(transport4ModeSelection3Default=\"Rail\",transport4ModeSelection3Default=\"Ship\",transport4ModeSelection3Default=\"Freight Flight\",transport4ModeSelection3Default=\"Non-motorized\"),\"Not applicable\",INDEX(RoadConditionTable[Road conditions],MATCH(TR4DestCountry,RoadConditionTable[Country],0)))","v":{"$error":"#N/A"}}]

{"sheet":"Default parameters","index":9,"n_rows":22,"n_cols":20,"rows_kept":22,"cut":false,"hidden":true,"merged":[[3,4,3,6],[6,4,6,6],[15,4,15,6],[1,1,1,3],[11,1,11,3],[7,1,7,3],[10,1,10,3],[20,1,20,3],[2,1,2,3],[9,1,9,3],[8,1,8,3],[17,1,17,3],[18,1,18,3],[16,1,16,3],[19,1,19,3]]}
[]
[null,"WARNING: Please select production type",null,null,"Total CO2e (tCO2e/t)","Total CO2e from CH4(tCO2e/t)","Total CO2e from N2O (tCO2e/t)",null,"Food Loss Rate not available",null,"Number of transport stages",{"$f":"NumberOfTransportStages","v":1},null,null,null,null,null,"Other labels"]
[null,"Emission Factor used",null,null,{"$f":"IF(commodityGroup=\"Animal Protein\", E17, E8)","v":{"$error":"#N/A"}},{"$f":"IF(commodityGroup=\"Animal Protein\", F17, F8)","v":{"$error":"#N/A"}},{"$f":"IF(commodityGroup=\"Animal Protein\", G17, G8)","v":{"$error":"#N/A"}},null,"Flour",null,null,null,null,null,null,null,null,"Production (post-harvest)","Implied UN sub-region",{"$f":"INDEX(UNcountrycodes[Sub-region Name],MATCH(countryOfProduction,UNcountrycodes[Country or Area],0))","v":{"$error":"#N/A"}}]
[null,null,null,"Type of tool calculation for Emission Factor",{"$f":"IF(commodityGroup=\"Animal Protein\", E16, E7)","v":{"$error":"#N/A"}},null,null,null,"Eggs",null,"Supply chain stage","Total (CO2e)","CO2 (CO2e)","CH4 (CO2e)","N2O (CO2e)",null,null,"Production (post-harvest)","Implied FAO region",{"$f":"INDEX(RegionClassification[FAO region],MATCH(impliedUNsubregionProduction,RegionClassification[UN region],0))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,"Cotton",0.3309445123078093,"Transport 1",{"$f":"SUM(M5:O5)","v":{"$error":"#N/A"}},{"$f":"'TR-1'!C11","v":{"$error":"#N/A"}},{"$f":"'TR-1'!C12","v":{"$error":"#N/A"}},{"$f":"'TR-1'!C13","v":{"$error":"#N/A"}},"equivalent t CO2e emissions per tonne",null,"Production (post-harvest)","Implied commodity group",{"$f":"VLOOKUP(commodity,IFC_Commodity_CommodityGroup[],3,FALSE)","v":{"$error":"#N/A"}}]
[null,"Crops",null,null,null,null,null,null,null,1.0027263628899817E-2,"Transport 2",{"$f":"SUM(M6:O6)","v":0},{"$f":"IF(NumberOfTransportStages<2,0,'TR-2'!C11)","v":0},{"$f":"IF(NumberOfTransportStages<2,0,'TR-2'!C12)","v":0},{"$f":"IF(NumberOfTransportStages<2,0,'TR-2'!C13)","v":0},"equivalent t CO2e emissions per tonne",null,"Storage 1 (pre-processing)","Implied UN sub-region",{"$f":"INDEX(UNcountrycodes[Sub-region Name],MATCH(countryOfStorage1,UNcountrycodes[Country or Area],0))","v":{"$error":"#N/A"}}]
[null,null,null,"Type of tool calculation for Emission Factor",{"$f":"IF(E9>0, \"User defined Emission Factor\",\nIF(E10>0, \"Updated database Emission Factor\",\nINDEX(GHG_Crops_Summary[Type of calculation],MATCH(CONCATENATE(countryOfProduction,\nIF(L15,INDEX(ProcessedCommoditiesExclmeatflour[Corresponding pre-processed crops],MATCH(commodity,ProcessedCommoditiesExclmeatflour[Processed commodities (other than meat and flour)],0)),commodity)),GHG_Crops_Summary[CONCAT],0))))","v":{"$error":"#N/A"}},null,null,null,"Requires before loss data?",0.51982719060697491,"Transport 3",{"$f":"SUM(M7:O7)","v":0},{"$f":"IF(NumberOfTransportStages<3,0,'TR-3'!C11)","v":0},{"$f":"IF(NumberOfTransportStages<3,0,'TR-3'!C12)","v":0},{"$f":"IF(NumberOfTransportStages<3,0,'TR-3'!C13)","v":0},"equivalent t CO2e emissions per tonne",null,"Storage 1 (pre-processing)","Implied FAO region",{"$f":"INDEX(RegionClassification[FAO region],MATCH(impliedUNsubregionStorage1,RegionClassification[UN region],0))","v":{"$error":"#N/A"}}]
[null,"Emission Factor used",null,null,{"$f":"IF(E9>0,E9,\nIF(E10>0, E10, E12))","v":{"$error":"#N/A"}},{"$f":"IF(F9>0,F9,\nIF(F10>0, F10, F12))","v":{"$error":"#N/A"}},{"$f":"IF(G9>0,G9,\nIF(G10>0, G10, G12))","v":{"$error":"#N/A"}},null,{"$f":"COUNTIF(NoLR[Food Loss Rate not available], commodity)>0","v":false},null,"Transport 4",{"$f":"SUM(M8:O8)","v":0},{"$f":"IF(NumberOfTransportStages<4,0,'TR-4'!C11)","v":0},{"$f":"IF(NumberOfTransportStages<4,0,'TR-4'!C12)","v":0},{"$f":"IF(NumberOfTransportStages<4,0,'TR-4'!C13)","v":0},"equivalent t CO2e emissions per tonne",null,"Storage 1 (pre-processing)","Implied commodity group",{"$f":"VLOOKUP(commodity,IFC_Commodity_CommodityGroup[],3,FALSE)","v":{"$error":"#N/A"}}]
[null,"User Defined Emission Factor?",null,null,{"$f":"IF(userEF=originalCropCO2e,0,userEF)","v":{"$error":"#N/A"}},{"$f":"IF(userCH4percentage=F11,0,userEF*userCH4percentage)","v":{"$error":"#N/A"}},{"$f":"IF(userN2Opercentage=G11,0,userEF*userN2Opercentage)","v":{"$error":"#N/A"}},null,null,null,"Storage (stage 1)",{"$f":"Storage!C29","v":{"$error":"#N/A"}},"equivalent tonnes CO2e emissions per tonne",null,null,null,null,"Processing","Implied UN sub-region",{"$f":"INDEX(UNcountrycodes[Sub-region Name],MATCH(countryOfProcessing,UNcountrycodes[Country or Area],0))","v":{"$error":"#N/A"}}]
[null,"\"GHG updated\" worksheet Emission Factor?",null,null,{"$f":"IF(INDEX(GHG_Update_Crop[EF (tCO2e/t)],MATCH(CONCATENATE(countryOfProduction,IF(L15,INDEX(ProcessedCommoditiesExclmeatflour[Corresponding pre-processed crops],MATCH(commodity,ProcessedCommoditiesExclmeatflour[Processed commodities (other than meat and flour)],0)),commodity)),GHG_Update_Crop[CONCAT],0))>0,\nINDEX(GHG_Update_Crop[EF (tCO2e/t)],MATCH(CONCATENATE(countryOfProduction,\nIF(L15,INDEX(ProcessedCommoditiesExclmeatflour[Corresponding pre-processed crops],MATCH(commodity,ProcessedCommoditiesExclmeatflour[Processed commodities (other than meat and flour)],0)),commodity)),GHG_Update_Crop[CONCAT],0)),\n 0)","v":{"$error":"#N/A"}},{"$f":"IF(INDEX(GHG_Update_Crop[EF (tCO2e/t) (from CH4) (AR5)],MATCH(CONCATENATE(countryOfProduction,\nIF(L15,INDEX(ProcessedCommoditiesExclmeatflour[Corresponding pre-processed crops],MATCH(commodity,ProcessedCommoditiesExclmeatflour[Processed commodities (other than meat and flour)],0)),commodity)),GHG_Update_Crop[CONCAT],0))>0,\nINDEX(GHG_Update_Crop[EF (tCO2e/t) (from CH4) (AR5)],MATCH(CONCATENATE(countryOfProduction,\nIF(L15,INDEX(ProcessedCommoditiesExclmeatflour[Corresponding pre-processed crops],MATCH(commodity,ProcessedCommoditiesExclmeatflour[Processed commodities (other than meat and flour)],0)),commodity)),GHG_Update_Crop[CONCAT],0)), 0)","v":{"$error":"#N/A"}},{"$f":"IF(INDEX(GHG_Update_Crop[EF (tCO2e/t) (from N2O) (AR5)],MATCH(CONCATENATE(countryOfProduction,\nIF(L15,INDEX(ProcessedCommoditiesExclmeatflour[Corresponding pre-processed crops],MATCH(commodity,ProcessedCommoditiesExclmeatflour[Processed commodities (other than meat and flour)],0)),commodity)),GHG_Update_Crop[CONCAT],0))>0,\nINDEX(GHG_Update_Crop[EF (tCO2e/t) (from N2O) (AR5)],MATCH(CONCATENATE(countryOfProduction,\nIF(L15,INDEX(ProcessedCommoditiesExclmeatflour[Corresponding pre-processed crops],MATCH(commodity,ProcessedCommoditiesExclmeatflour[Processed commodities (other than meat and flour)],0)),commodity)),GHG_Update_Crop[CONCAT],0)), 0)","v":{"$error":"#N/A"}},null,null,null,"Storage (stage 2)",{"$f":"Storage!D29","v":{"$error":"#N/A"}},"equivalent tonnes CO2e emissions per tonne",null,null,null,null,"Processing","Implied FAO region",{"$f":"INDEX(RegionClassification[FAO region],MATCH(impliedUNsubregionProcessing,RegionClassification[UN region],0))","v":{"$error":"#N/A"}}]
[null,"Original Database %",null,null,null,{"$f":"INDEX(GHG_Crops_Summary[EF % from CH4],MATCH(CONCATENATE(countryOfProduction,\nIF(L15,INDEX(ProcessedCommoditiesExclmeatflour[Corresponding pre-processed crops],MATCH(commodity,ProcessedCommoditiesExclmeatflour[Processed commodities (other than meat and flour)],0)),commodity)),GHG_Crops_Summary[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(GHG_Crops_Summary[EF % from N2O],MATCH(CONCATENATE(countryOfProduction,\nIF(L15,INDEX(ProcessedCommoditiesExclmeatflour[Corresponding pre-processed crops],MATCH(commodity,ProcessedCommoditiesExclmeatflour[Processed commodities (other than meat and flour)],0)),commodity)),GHG_Crops_Summary[CONCAT],0))","v":{"$error":"#N/A"}},null,null,null,"Processing",{"$f":"IF(processingUserEF<>\"\",processingUserEF,processingUserEFDefault)","v":""},"equivalent tonnes CO2e emissions per tonne",null,null,null,null,"Processing","Implied commodity group",{"$f":"VLOOKUP(commodity,IFC_Commodity_CommodityGroup[],3,FALSE)","v":{"$error":"#N/A"}}]
[null,"Original Database Emission Factor ",null,null,{"$f":"INDEX(GHG_Crops_Summary[EF total CO2e (tCO2e/t)],\nMATCH(CONCATENATE(countryOfProduction,IF(L15,INDEX(ProcessedCommoditiesExclmeatflour[Corresponding pre-processed crops],MATCH(commodity,ProcessedCommoditiesExclmeatflour[Processed commodities (other than meat and flour)],0)),commodity)),GHG_Crops_Summary[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(GHG_Crops_Summary[EF total CO2e from CH4 (tCO2e/t)],MATCH(CONCATENATE(countryOfProduction,\nIF(L15,INDEX(ProcessedCommoditiesExclmeatflour[Corresponding pre-processed crops],MATCH(commodity,ProcessedCommoditiesExclmeatflour[Processed commodities (other than meat and flour)],0)),commodity)),GHG_Crops_Summary[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(GHG_Crops_Summary[EF total CO2e from N2O (tCO2e/t)],MATCH(CONCATENATE(countryOfProduction,\nIF(L15,INDEX(ProcessedCommoditiesExclmeatflour[Corresponding pre-processed crops],MATCH(commodity,ProcessedCommoditiesExclmeatflour[Processed commodities (other than meat and flour)],0)),commodity)),GHG_Crops_Summary[CONCAT],0))","v":{"$error":"#N/A"}},null,null,null,"Retail",{"$f":"IF(retailUserDefinedEF<>\"\",retailUserDefinedEF,retailUserDefinedEFDefault)","v":""},"equivalent tonnes CO2e emissions per tonne",null,null,null,null,"Storage 2 (pre-retail)","Implied UN sub-region",{"$f":"INDEX(UNcountrycodes[Sub-region Name],MATCH(countryOfStorage2,UNcountrycodes[Country or Area],0))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Storage 2 (pre-retail)","Implied FAO region",{"$f":"INDEX(RegionClassification[FAO region],MATCH(impliedUNsubregionStorage2,RegionClassification[UN region],0))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,"If meat / flour / Cheese / butter / yoghurt / oil commodities / aqua commodities, don't report pre-processing",{"$f":"IF(OR(AND(commodityGroup=\"Animal Protein\",commodity<>\"Milk (cattle)\",commodity<>\"Eggs\"),commodity=\"Flour\",commodity=\"Palm oil\",commodity=\"Olive oil\",commodity=\"Cotton seed oil\",commodity=\"Sunflower oil\"),TRUE,FALSE)","v":false},null,null,null,null,null,"Storage 2 (pre-retail)","Implied commodity group",{"$f":"VLOOKUP(commodity,IFC_Commodity_CommodityGroup[],3,FALSE)","v":{"$error":"#N/A"}}]
[null,"Animal Protein",null,null,null,null,null,null,"Processed commodities (other than meat and flour)","Corresponding pre-processed crops","If processed commodities (other than meat and flour), upscale pre-processing avoided losses",{"$f":"IF(COUNTIF(ProcessedCommoditiesExclmeatflour[Processed commodities (other than meat and flour)],commodity),TRUE,FALSE)","v":false},null,null,null,null,null,"Retail","Implied UN sub-region",{"$f":"INDEX(UNcountrycodes[Sub-region Name],MATCH(countryOfRetail,UNcountrycodes[Country or Area],0))","v":{"$error":"#N/A"}}]
[null,null,null,"Type of tool calculation for Emission Factor",{"$f":"IF(IFERROR(E9,0)>0, \"User defined Emission Factor\",\nIF(IFERROR(E10,0)>0, \"Updated database Emission Factor\",\nINDEX(AnimalEF[Type of calculation],MATCH(CONCATENATE(countryOfProduction,commodity,INDEX(Lists!$D$37:$D$82,MATCH(commodity&farmingType,Lists!$B$37:$B$82&Lists!$C$37:$C$82,0))),AnimalEF[CONCAT],0))))","v":{"$error":"#N/A"}},null,null,null,"Cotton seed oil","Cotton",null,null,null,null,null,null,null,"Retail","Implied FAO region",{"$f":"INDEX(RegionClassification[FAO region],MATCH(impliedUNsubregionRetail,RegionClassification[UN region],0))","v":{"$error":"#N/A"}}]
[null,"Emission Factor used",null,null,{"$f":"IF(IFERROR(E18,0)>0,E18,\nIF(IFERROR(E19,0)>0, E19, E21))","v":{"$error":"#N/A"}},{"$f":"IF(IFERROR(F18,0)>0,F18,\nIF(IFERROR(F19,0)>0, F19, F21))","v":{"$error":"#N/A"}},{"$f":"IF(IFERROR(G18,0)>0,G18,\nIF(IFERROR(G19,0)>0, G19, G21))","v":{"$error":"#N/A"}},null,"Sunflower oil","Sunflower seeds",null,null,null,null,null,null,null,"Retail","Implied commodity group",{"$f":"VLOOKUP(commodity,IFC_Commodity_CommodityGroup[],3,FALSE)","v":{"$error":"#N/A"}}]
[null,"User Defined Emission Factor?",null,null,{"$f":"IF(userEF=originalAnimalCO2e,0,userEF)","v":{"$error":"#N/A"}},{"$f":"IF(userCH4percentage=F20,0,userEF*userCH4percentage)","v":{"$error":"#N/A"}},{"$f":"IF(userN2Opercentage=G20,0,userEF*userN2Opercentage)","v":{"$error":"#N/A"}},null,"Olive oil","Olives"]
[null,"\"GHG updated\" worksheet Emission Factor?",null,null,{"$f":"IF(\nINDEX(GHG_Update_Livestock[EF (tonneCO2e/tonne)],\nMATCH(CONCATENATE(countryOfProduction,commodity,LEFT(farmingType,FIND(\" \",farmingType)-1)),GHG_Update_Livestock[],0))\n>0,\nINDEX(GHG_Update_Livestock[EF (tonneCO2e/tonne)],\nMATCH(CONCATENATE(countryOfProduction,commodity,LEFT(farmingType,FIND(\" \",farmingType)-1)),GHG_Update_Livestock[CONCAT],0)),0)","v":{"$error":"#N/A"}},null,null,null,"Palm oil","Palm fruit"]
[null,"Original Database %",null,null,null,{"$f":"INDEX(AnimalEF[EF % from CH4],\nMATCH(CONCATENATE(countryOfProduction,commodity,INDEX(Lists!$D$37:$D$82,MATCH(commodity&farmingType,Lists!$B$37:$B$82&Lists!$C$37:$C$82,0))),\nAnimalEF[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(AnimalEF[EF % from N2O],\nMATCH(CONCATENATE(countryOfProduction,commodity,INDEX(Lists!$D$37:$D$82,MATCH(commodity&farmingType,Lists!$B$37:$B$82&Lists!$C$37:$C$82,0))),\nAnimalEF[CONCAT],0))","v":{"$error":"#N/A"}},null,"Yoghurt"]
[null,"Original Database Emission Factor ",null,null,{"$f":"INDEX(AnimalEF[EF (tonneCO2e/tonne)],\nMATCH(CONCATENATE(countryOfProduction,commodity,INDEX(Lists!$D$37:$D$82,MATCH(commodity&farmingType,Lists!$B$37:$B$82&Lists!$C$37:$C$82,0))),\nAnimalEF[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(AnimalEF[CH4 EF (tonneCO2e/tonne)],\nMATCH(CONCATENATE(countryOfProduction,commodity,INDEX(Lists!$D$37:$D$82,MATCH(commodity&farmingType,Lists!$B$37:$B$82&Lists!$C$37:$C$82,0))),\nAnimalEF[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(AnimalEF[N2O EF (tonneCO2e/tonne)],\nMATCH(CONCATENATE(countryOfProduction,commodity,INDEX(Lists!$D$37:$D$82,MATCH(commodity&farmingType,Lists!$B$37:$B$82&Lists!$C$37:$C$82,0))),\nAnimalEF[CONCAT],0))","v":{"$error":"#N/A"}},null,"Cheese"]
[null,null,null,null,null,"No adjustment for manual livestock CH4 or N2O currently available",null,null,"Butter"]

{"sheet":"Country-selector","index":10,"n_rows":45,"n_cols":9,"rows_kept":45,"cut":false,"hidden":true,"merged":[]}
[]
[null,"Defining countries associated with value chain stages"]
[]
[null,"Do the supply chain stages happen in more than one country?",{"$f":"IF(multipleCountrySelector=\"\",\"\",\nIF(multipleCountrySelector=\"Yes\",TRUE,FALSE))","v":true}]
[]
[null,"Upstream value chain countries","Country (user selection)"]
[null,"Production (post-harvest)",{"$f":"IF(C4=FALSE,singleCountrySelector,\nIF(userInputCountryofProduction=0,\"\",userInputCountryofProduction))","v":""}]
[null,"Storage 1 (pre-processing)",{"$f":"IF(C4=FALSE,singleCountrySelector,\nIF(userInputCountryofStorage1=0,\"\",userInputCountryofStorage1))","v":""}]
[null,"Processing",{"$f":"IF(C4=FALSE,singleCountrySelector,\nIF(userInputCountryofProcessing=0,\"\",userInputCountryofProcessing))","v":""}]
[null,"Storage 2 (pre-retail)",{"$f":"IF(C4=FALSE,singleCountrySelector,\nIF(userInputCountryofStorage2=0,\"\",userInputCountryofStorage2))","v":""}]
[null,"Retail",{"$f":"IF(C4=FALSE,singleCountrySelector,\nIF(userInputCountryofRetail=0,\"\",userInputCountryofRetail))","v":""}]
[]
[null,"First country",{"$f":"IF(C7=\"\",INDEX(C7:C11,MATCH(1,IF(C7:C11<>0,IF(C7:C11<>\"\",1)),0)),C7)","v":{"$error":"#N/A"}}]
[null,"Last country as indicated by user",{"$f":"INDEX($C$7:$C$11,MATCH(2,1/($C$7:$C$11<>\"\"), 1))","v":{"$error":"#N/A"}}]
[null,"Last intervention country",{"$f":"IF(ISNUMBER(FIND(\"Transport\",$C$16)),INDEX($D$21:$D$29,MATCH(lastInterventionStage,$B$21:$B$29,0)),\nINDEX($C$21:$C$29,MATCH(lastInterventionStage,$B$21:$B$29,0)))","v":{"$error":"#N/A"}},"the user could be indicate countries beyond the last intervention stage"]
[null,"Last intervention stage",{"$f":"_xlfn.IFNA(INDEX(Interface!B21:B29,MATCH(TRUE,Interface!K21:K29,0)),INDEX(B7:B11,MATCH(C14,C7:C11,0)))","v":{"$error":"#N/A"}}]
[null,"Corresponding stage step",{"$f":"INDEX(A21:A29,MATCH(C16,B21:B29,0))","v":{"$error":"#N/A"}}]
[null,"Last stage if last intervention is transport",{"$f":"IF($C$16=\"Transport 1\",B23,\nIF($C$16=\"Transport 2\",B25,\nIF($C$16=\"Transport 3\",B27,\nIF($C$16=\"Transport 4\",B29,\n\"\"))))","v":{"$error":"#N/A"}}]
[null,null,null,null,"The table below calculates which are the transport stages and between which countries and supply chain stages:"]
[null,null,"Origin Country","Destination Country","Unique user Transport Stage #","Transport Stage Origin Country","Origin Supply Chain Stage","Transport Stage Destination Country","Destination Supply Chain Stage"]
[1,"Production (post-harvest)",{"$f":"C13","v":{"$error":"#N/A"}}]
[2,"Transport 1",null,{"$f":"IF(C8=\"\",C21,\nIF(lastInterventionStage=$B$21,C21,\nC8))","v":{"$error":"#N/A"}},"Transport 1",{"$f":"IF(E22=\"\",\"\",C21)","v":{"$error":"#N/A"}},{"$f":"IF(E22=\"\",\"\",\"Production (post-harvest)\")","v":"Production (post-harvest)"},{"$f":"IF(E22=\"\",\"\",D22)","v":{"$error":"#N/A"}},{"$f":"IF(E22=\"\",\"\",\nIF(lastInterventionStage=$B$21,$B$21,$B$23))","v":{"$error":"#N/A"}}]
[3,"Storage 1 (pre-processing)",{"$f":"IF(A23>$C$17,\"\",D22)","v":{"$error":"#N/A"}}]
[4,"Transport 2",null,{"$f":"IF(C17<A24,\"\",\nIF(C9=\"\",C25,C9))","v":{"$error":"#N/A"}},{"$f":"IF(D24=\"\",\"\",\n\"Transport 2\")","v":{"$error":"#N/A"}},{"$f":"IF(E24=\"\",\"\",C23)","v":{"$error":"#N/A"}},{"$f":"IF(E24=\"\",\"\",I22)","v":{"$error":"#N/A"}},{"$f":"IF(E24=\"\",\"\",D24)","v":{"$error":"#N/A"}},{"$f":"IF(E24=\"\",\"\",\nB25)","v":{"$error":"#N/A"}}]
[5,"Processing",{"$f":"IF(C17<A25,\"\",\nIF(C9<>\"\",C9,IF(C10<>\"\",C10,IF(C11<>\"\",C11,IF(A25<=C17,C14,\"\")))))","v":{"$error":"#N/A"}}]
[6,"Transport 3",null,{"$f":"IF(C17<A26,\"\",\nIF(C10=\"\",C27,C10))","v":{"$error":"#N/A"}},{"$f":"IF(D26=\"\",\"\",\n\"Transport 3\")","v":{"$error":"#N/A"}},{"$f":"IF(E26=\"\",\"\",C25)","v":{"$error":"#N/A"}},{"$f":"IF(E26=\"\",\"\",I24)","v":{"$error":"#N/A"}},{"$f":"IF(E26=\"\",\"\",D26)","v":{"$error":"#N/A"}},{"$f":"IF(E26=\"\",\"\",\nB27)","v":{"$error":"#N/A"}}]
[7,"Storage 2 (pre-retail)",{"$f":"IF(C17<A27,\"\",\nIF(C10<>\"\",C10,\nIF(C11<>\"\",C11,\nC14)))","v":{"$error":"#N/A"}}]
[8,"Transport 4",null,{"$f":"IF(C17<A28,\"\",\nIF(C11=\"\",C29,C11))","v":{"$error":"#N/A"}},{"$f":"IF(D28=\"\",\"\",\n\"Transport 4\")","v":{"$error":"#N/A"}},{"$f":"IF(E28=\"\",\"\",C27)","v":{"$error":"#N/A"}},{"$f":"IF(E28=\"\",\"\",I26)","v":{"$error":"#N/A"}},{"$f":"IF(E28=\"\",\"\",D28)","v":{"$error":"#N/A"}},{"$f":"IF(E28=\"\",\"\",\nB29)","v":{"$error":"#N/A"}}]
[9,"Retail",{"$f":"IF(A29<=C17,C14,\"\")","v":{"$error":"#N/A"}}]
[]
[]
[null,"Number of transport stages:",{"$f":"COUNTA(_xlfn.UNIQUE(_xlfn._xlws.FILTER(E21:E28,E21:E28<>\"\")))","v":1}]
[]
[]
[null,"List of unique countries:","Number of transport stages involving this country:"]
[null,{"$f":"_xlfn.UNIQUE(_xlfn.VSTACK(countryOfProduction,D22,countryOfStorage1,D24,countryOfProcessing,D26,countryOfStorage2,D28,countryOfRetail))","v":{"$error":"#N/A"}},{"$f":"IF(B36=\"\",0,\nIF(AND(B36=$F$22=$H$22),1,IF(B36=$F$22,1,IF(B36=$H$22,1,0)))\n+IF(AND(B36=$F$24=$H$24),1,IF(B36=$F$24,1,IF(B36=$H$24,1,0)))\n+IF(AND(B36=$F$26=$H$26),1,IF(B36=$F$26,1,IF(B36=$H$26,1,0)))\n+IF(AND(B36=$F$28=$H$28),1,IF(B36=$F$28,1,IF(B36=$H$28,1,0))))","v":{"$error":"#N/A"}}]
[null,null,{"$f":"IF(B37=\"\",0,\nIF(AND(B37=$F$22=$H$22),1,IF(B37=$F$22,1,IF(B37=$H$22,1,0)))\n+IF(AND(B37=$F$24=$H$24),1,IF(B37=$F$24,1,IF(B37=$H$24,1,0)))\n+IF(AND(B37=$F$26=$H$26),1,IF(B37=$F$26,1,IF(B37=$H$26,1,0)))\n+IF(AND(B37=$F$28=$H$28),1,IF(B37=$F$28,1,IF(B37=$H$28,1,0))))","v":0}]
[null,null,0]
[null,null,0]
[null,null,0]
[]
[]
[null,"These are automatic calcs, if user doesn't enter manual selections for Distance and everything else to the right (Mode to Road conditions)"]
[null,"If no production country selected, assume is the first downstream that is selected."]
[null,"If Production country is selected and Retail country is selected but nothing indicated in between, then tool assumes split in countries at level of Processing. Production to Storage 2 = Production country, and Processing to Retail = Retail country."]

{"sheet":"Crops & Countries","index":11,"n_rows":163,"n_cols":27,"rows_kept":163,"cut":false,"hidden":true,"merged":[]}
[null,null,null,null,"Parameters for estimating biogenic CH4 emissions in landfill"]
[]
[null,"Country","Region","Climate Zone","Landfill CH4 Collection Efficiency","Notes",null,"IFC name","FAO name","Category",null,"Country","Region","UN Country code",null,null,null,null,"Regions","CountryChoiceList","Sub-Saharan Africa","Latin America and Caribbean","South Asia","Europe and Central Asia","East Asia and Pacific","Middle East and North Africa","North America"]
[null,"Algeria","Middle East and North Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Almonds","Nuts/Seeds","Oilseeds and pulses",null,"Angola","Africa",24,null,null,null,null,"Middle East and North Africa",{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S2),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S2),FALSE),\"\"))","v":""},"Angola","Antigua and Barbuda","Bangladesh","Austria","Australia","Egypt","United States of America"]
[null,"Angola","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Apples","Fruits","Fruits and vegetables",null,"Benin","Africa",204,null,null,null,null,"Sub-Saharan Africa",{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S3),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S3),FALSE),\"\"))","v":""},"Benin","Argentina","Bhutan","Belgium","Cambodia","Lebanon","Canada"]
[null,"Antigua and Barbuda","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Avocados","Fruits","Fruits and vegetables",null,"Botswana","Africa",72,null,null,null,null,"North America",{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S4),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S4),FALSE),\"\"))","v":""},"Botswana","Bahamas","India","Bosnia and Herzegovina","China","Morocco"]
[null,"Argentina","Latin America and Caribbean","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,"Bananas","Fruits","Fruits and vegetables",null,"Burkina Faso","Africa",854,null,null,null,null,"Latin America and Caribbean",{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S5),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S5),FALSE),\"\"))","v":""},"Burkina Faso","Barbados","Maldives","Bulgaria","Fiji","Yemen"]
[null,"Armenia","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,"Barley","Pulses & Grains","Cereals",null,"Burundi","Africa",108,null,null,null,null,"Europe and Central Asia",{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S6),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S6),FALSE),\"\"))","v":""},"Burundi","Belize","Myanmar","Croatia","Indonesia"]
[null,"Azerbaijan","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,"Beans (dry)","Pulses & Grains","Oilseeds and pulses",null,"Cabo Verde","Africa",132,null,null,null,null,"South Asia",{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S7),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S7),FALSE),\"\"))","v":""},"Cabo Verde","Bolivia (Plurinational State of)","Nepal","Cyprus","Japan"]
[null,"Bahamas","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Buckwheat","Pulses & Grains","Oilseeds and pulses",null,"Cameroon","Africa",120,null,null,null,null,"East Asia and Pacific",{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S8),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S8),FALSE),\"\"))","v":""},"Cameroon","Brazil","Sri Lanka","Czech Republic","Kiribati"]
[null,"Bangladesh","South Asia","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Carrots","Tubers/Root Crops","Roots and tubers",null,"Central African Republic","Africa",140,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S9),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S9),FALSE),\"\"))","v":""},"Central African Republic","Chile","Pakistan","Denmark","Lao People's Democratic Republic"]
[null,"Barbados","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Cashew nuts","Nuts/Seeds","Oilseeds and pulses",null,"Chad","Africa",148,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S10),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S10),FALSE),\"\"))","v":""},"Chad","Colombia",null,"Estonia","Malaysia"]
[null,"Belize","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Cassava (fresh)","Tubers/Root Crops","Roots and tubers",null,"Comoros","Africa",174,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S11),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S11),FALSE),\"\"))","v":""},"Comoros","Costa Rica",null,"Finland","Marshall Islands"]
[null,"Benin","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Chickpeas (dry)","Pulses & Grains","Oilseeds and pulses",null,"Congo","Africa",178,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S12),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S12),FALSE),\"\"))","v":""},"Congo","Dominica",null,"France","Micronesia (Federated States of)"]
[null,"Bhutan","South Asia","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Cocoa","Nuts/Seeds","Oilseeds and pulses",null,"Cote d'Ivoire","Africa",384,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S13),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S13),FALSE),\"\"))","v":""},"Cote d'Ivoire","Dominican Republic",null,"Germany","Mongolia"]
[null,"Bolivia (Plurinational State of)","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Coffee","Nuts/Seeds","Oilseeds and pulses",null,"Democratic Republic of the Congo","Africa",180,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S14),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S14),FALSE),\"\"))","v":""},"Democratic Republic of the Congo","Ecuador",null,"Greece","New Zealand"]
[null,"Bosnia and Herzegovina","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,"Cotton","Cotton","Oilseeds and pulses",null,"Equatorial Guinea","Africa",226,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S15),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S15),FALSE),\"\"))","v":""},"Equatorial Guinea","El Salvador",null,"Hungary","Papua New Guinea"]
[null,"Botswana","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Eggs","Animal Protein","Eggs",null,"Eritrea","Africa",232,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S16),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S16),FALSE),\"\"))","v":""},"Eritrea","Grenada",null,"Iceland","Philippines"]
[null,"Brazil","Latin America and Caribbean","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Flour","Flour","Cereals",null,"Eswatini","Africa",748,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S17),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S17),FALSE),\"\"))","v":""},"Eswatini","Guatemala",null,"Ireland","Samoa"]
[null,"Burkina Faso","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Garlic (green)","Tubers/Root Crops","Roots and tubers",null,"Ethiopia","Africa",231,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S18),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S18),FALSE),\"\"))","v":""},"Ethiopia","Guyana",null,"Italy","Solomon Islands"]
[null,"Burundi","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Ginger","Tubers/Root Crops","Roots and tubers",null,"Gabon","Africa",266,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S19),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S19),FALSE),\"\"))","v":""},"Gabon","Haiti",null,"Kazakhstan","Thailand"]
[null,"Cabo Verde","Africa","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Grapes","Fruits","Fruits and vegetables",null,"Gambia","Africa",270,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S20),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S20),FALSE),\"\"))","v":""},"Gambia","Honduras",null,"Kyrgyzstan","Timor-Leste"]
[null,"Cambodia","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Lemons","Fruits","Fruits and vegetables",null,"Ghana","Africa",288,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S21),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S21),FALSE),\"\"))","v":""},"Ghana","Jamaica",null,"Latvia","Tonga"]
[null,"Cameroon","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Lentils","Pulses & Grains","Oilseeds and pulses",null,"Kenya","Africa",404,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S22),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S22),FALSE),\"\"))","v":""},"Guinea","Mexico",null,"Lithuania","Tuvalu"]
[null,"Central African Republic","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Lettuce","Vegetables ","Fruits and vegetables",null,"Lesotho","Africa",426,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S23),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S23),FALSE),\"\"))","v":""},"Guinea-Bissau","Nicaragua",null,"Luxembourg","Vanuatu"]
[null,"Chad","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Maize","Pulses & Grains","Cereals",null,"Liberia","Africa",430,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S24),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S24),FALSE),\"\"))","v":""},"Kenya","Panama",null,"Malta","Viet Nam"]
[null,"Chile","Latin America and Caribbean","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Mangoes","Fruits","Fruits and vegetables",null,"Madagascar","Africa",450,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S25),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S25),FALSE),\"\"))","v":""},"Lesotho","Paraguay",null,"Netherlands"]
[null,"China","East Asia and Pacific","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,"Meat (cattle)","Animal Protein","Meat",null,"Malawi","Africa",454,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S26),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S26),FALSE),\"\"))","v":""},"Liberia","Peru",null,"Norway"]
[null,"Colombia","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Meat (chicken)","Animal Protein","Meat",null,"Mali","Africa",466,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S27),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S27),FALSE),\"\"))","v":""},"Madagascar","Saint Kitts and Nevis",null,"Poland"]
[null,"Comoros","Africa","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Meat (pig)","Animal Protein","Meat",null,"Mauritania","Africa",478,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S28),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S28),FALSE),\"\"))","v":""},"Malawi","Saint Lucia",null,"Portugal"]
[null,"Congo","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Milk (cattle)","Animal Protein","Milk",null,"Mauritius","Africa",480,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S29),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S29),FALSE),\"\"))","v":""},"Mali","Trinidad and Tobago",null,"Romania"]
[null,"Costa Rica","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Millet","Pulses & Grains","Oilseeds and pulses",null,"Mozambique","Africa",508,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S30),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S30),FALSE),\"\"))","v":""},"Mauritania","Uruguay",null,"Slovakia"]
[null,"Cote d'Ivoire","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Mushrooms","Mycoprotein","Mycoprotein",null,"Namibia","Africa",516,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S31),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S31),FALSE),\"\"))","v":""},"Mauritius","Venezuela (Bolivarian Republic of)",null,"Slovenia"]
[null,"Democratic Republic of the Congo","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Oats","Pulses & Grains","Oilseeds and pulses",null,"Niger","Africa",562,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S32),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S32),FALSE),\"\"))","v":""},"Mozambique",null,null,"Spain"]
[null,"Dominica","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Onions, dry","Tubers/Root Crops","Roots and tubers",null,"Nigeria","Africa",566,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S33),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S33),FALSE),\"\"))","v":""},"Namibia",null,null,"Sweden"]
[null,"Dominican Republic","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Oranges","Fruits","Fruits and vegetables",null,"Rwanda","Africa",646,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S34),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S34),FALSE),\"\"))","v":""},"Niger",null,null,"Switzerland"]
[null,"Ecuador","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Peanuts","Pulses & Grains","Oilseeds and pulses",null,"Sao Tome and Principe","Africa",678,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S35),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S35),FALSE),\"\"))","v":""},"Nigeria",null,null,"Tajikistan"]
[null,"Egypt","Middle East and North Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Peas (dry)","Pulses & Grains","Oilseeds and pulses",null,"Senegal","Africa",686,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S36),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S36),FALSE),\"\"))","v":""},"Rwanda",null,null,"Turkey"]
[null,"El Salvador","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Peppers","Vegetables ","Fruits and vegetables",null,"Seychelles","Africa",690,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S37),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S37),FALSE),\"\"))","v":""},"Sao Tome and Principe",null,null,"Ukraine"]
[null,"Equatorial Guinea","Africa","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Pineapples","Fruits","Fruits and vegetables",null,"Sierra Leone","Africa",694,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S38),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S38),FALSE),\"\"))","v":""},"Senegal",null,null,"United Kingdom"]
[null,"Eritrea","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Potatoes","Tubers/Root Crops","Roots and tubers",null,"Somalia","Africa",706,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S39),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S39),FALSE),\"\"))","v":""},"Seychelles",null,null,"Uzbekistan"]
[null,"Eswatini","Africa","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},"formerly Swaziland",null,"Quinoa","Pulses & Grains","Oilseeds and pulses",null,"South Africa","Africa",710,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S40),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S40),FALSE),\"\"))","v":""},"Sierra Leone"]
[null,"Ethiopia","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Rapeseeds","Nuts/Seeds","Oilseeds and pulses",null,"South Sudan","Africa",728,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S41),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S41),FALSE),\"\"))","v":""},"Somalia"]
[null,"Fiji","East Asia and Pacific","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Rice","Pulses & Grains","Cereals",null,"Sudan","Africa",729,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S42),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S42),FALSE),\"\"))","v":""},"South Africa"]
[null,"Gabon","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Rye","Pulses & Grains","Oilseeds and pulses",null,"Togo","Africa",768,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S43),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S43),FALSE),\"\"))","v":""},"South Sudan"]
[null,"Gambia","Africa","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Sesame seed","Nuts/Seeds","Oilseeds and pulses",null,"Uganda","Africa",800,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S44),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S44),FALSE),\"\"))","v":""},"Sudan"]
[null,"Georgia","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,"Sorghum","Pulses & Grains","Cereals",null,"United Republic of Tanzania","Africa",834,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S45),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S45),FALSE),\"\"))","v":""},"Togo"]
[null,"Ghana","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Soybeans","Pulses & Grains","Oilseeds and pulses",null,"Zambia","Africa",894,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S46),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S46),FALSE),\"\"))","v":""},"Uganda"]
[null,"Grenada","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Sugar cane","Tubers/Root Crops","Roots and tubers",null,"Zimbabwe","Africa",716,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S47),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S47),FALSE),\"\"))","v":""},"United Republic of Tanzania"]
[null,"Guatemala","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Sunflower seeds","Nuts/Seeds","Oilseeds and pulses",null,"Australia","East Asia and Pacific",36,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S48),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S48),FALSE),\"\"))","v":""},"Zambia"]
[null,"Guinea","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Sweet potatoes","Tubers/Root Crops","Roots and tubers",null,"Cambodia","East Asia and Pacific",116,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S49),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$AA$51,ROW(S49),FALSE),\"\"))","v":""},"Zimbabwe"]
[null,"Guinea-Bissau","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Tomatoes","Fruits","Fruits and vegetables",null,"China","East Asia and Pacific",156,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S34),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S34),FALSE),\"\"))","v":""}]
[null,"Guyana","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Wheat","Pulses & Grains","Cereals",null,"Fiji","East Asia and Pacific",242,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S35),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S35),FALSE),\"\"))","v":""}]
[null,"Haiti","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Tuna","Animal Protein","Fish and seafood",null,"Indonesia","East Asia and Pacific",360,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S36),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S36),FALSE),\"\"))","v":""}]
[null,"Honduras","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Salmon","Animal Protein","Fish and seafood",null,"Japan","East Asia and Pacific",392,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S37),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S37),FALSE),\"\"))","v":""}]
[null,"India","South Asia","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Shrimp","Animal Protein","Fish and seafood",null,"Kiribati","East Asia and Pacific",296,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S38),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S38),FALSE),\"\"))","v":""}]
[null,"Indonesia","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Tilapia","Animal Protein","Fish and seafood",null,"Lao People's Democratic Republic","East Asia and Pacific",418,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S39),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S39),FALSE),\"\"))","v":""}]
[null,"Jamaica","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Catfish","Animal Protein","Fish and seafood",null,"Malaysia","East Asia and Pacific",458,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S40),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S40),FALSE),\"\"))","v":""}]
[null,"Kazakhstan","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,"Cotton seed oil","Nuts/Seeds","Oilseeds and pulses",null,"Marshall Islands","East Asia and Pacific",584,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S41),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S41),FALSE),\"\"))","v":""}]
[null,"Kenya","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Sunflower oil","Nuts/Seeds","Oilseeds and pulses",null,"Micronesia (Federated States of)","East Asia and Pacific",583,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S42),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S42),FALSE),\"\"))","v":""}]
[null,"Kiribati","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Olive oil","Nuts/Seeds","Oilseeds and pulses",null,"Mongolia","East Asia and Pacific",496,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S43),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S43),FALSE),\"\"))","v":""}]
[null,"Kyrgyzstan","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},"Kyrgyz Republic",null,"Palm oil","Nuts/Seeds","Oilseeds and pulses",null,"New Zealand","East Asia and Pacific",554,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S44),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S44),FALSE),\"\"))","v":""}]
[null,"Lao People's Democratic Republic","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Blueberries","Fruits","Fruits and vegetables",null,"Papua New Guinea","East Asia and Pacific",598,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S45),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S45),FALSE),\"\"))","v":""}]
[null,"Lebanon","Middle East and North Africa","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,"Raspberries","Fruits","Fruits and vegetables",null,"Philippines","East Asia and Pacific",608,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S46),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S46),FALSE),\"\"))","v":""}]
[null,"Lesotho","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Strawberries","Fruits","Fruits and vegetables",null,"Samoa","East Asia and Pacific",882,null,null,null,null,null,{"$f":"IF(IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S47),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(region,'Crops & Countries'!$U$3:$Z$49,ROW(S47),FALSE),\"\"))","v":""}]
[null,"Liberia","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Watermelons","Fruits","Fruits and vegetables",null,"Solomon Islands","East Asia and Pacific",90]
[null,"Madagascar","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Litchi","Fruits","Fruits and vegetables",null,"Thailand","East Asia and Pacific",764]
[null,"Malawi","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Pears","Fruits","Fruits and vegetables",null,"Timor-Leste","East Asia and Pacific",626]
[null,"Malaysia","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Cherries","Fruits","Fruits and vegetables",null,"Tonga","East Asia and Pacific",776]
[null,"Maldives","South Asia","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Mandarins","Fruits","Fruits and vegetables",null,"Tuvalu","East Asia and Pacific",798]
[null,"Mali","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Cucumbers","Vegetables ","Fruits and vegetables",null,"Vanuatu","East Asia and Pacific",548]
[null,"Marshall Islands","East Asia and Pacific","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Sweet peppers","Vegetables ","Fruits and vegetables",null,"Viet Nam","East Asia and Pacific",704]
[null,"Mauritania","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Onions (fresh)","Vegetables ","Fruits and vegetables",null,"Armenia","Europe and Central Asia",51]
[null,"Mauritius","Africa","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Asparagus","Vegetables ","Fruits and vegetables",null,"Austria","Europe and Central Asia",40]
[null,"Mexico","Latin America and Caribbean","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Broccoli","Vegetables ","Fruits and vegetables",null,"Azerbaijan","Europe and Central Asia",31]
[null,"Micronesia (Federated States of)","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Spinach","Vegetables ","Fruits and vegetables",null,"Belgium","Europe and Central Asia",56]
[null,"Moldova","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,"Pistachios","Nuts/Seeds","Oilseeds and pulses",null,"Bosnia and Herzegovina","Europe and Central Asia",70]
[null,"Mongolia","East Asia and Pacific","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,"Coconuts","Nuts/Seeds","Oilseeds and pulses",null,"Bulgaria","Europe and Central Asia",100]
[null,"Morocco","Middle East and North Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Walnuts","Nuts/Seeds","Oilseeds and pulses",null,"Croatia","Europe and Central Asia",191]
[null,"Mozambique","Africa","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Hazelnuts","Nuts/Seeds","Oilseeds and pulses",null,"Cyprus","Europe and Central Asia",196]
[null,"Myanmar","South Asia","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Yoghurt","Animal Protein","Milk",null,"Czech Republic","Europe and Central Asia",203]
[null,"Namibia","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Cheese","Animal Protein","Milk",null,"Denmark","Europe and Central Asia",208]
[null,"Nepal","South Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,"Butter","Animal Protein","Milk",null,"Estonia","Europe and Central Asia",233]
[null,"Nicaragua","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Finland","Europe and Central Asia",246]
[null,"Niger","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"France","Europe and Central Asia",250]
[null,"Nigeria","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Georgia","Europe and Central Asia",268]
[null,"Pakistan","Middle East and North Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Germany","Europe and Central Asia",276]
[null,"Panama","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Greece","Europe and Central Asia",300]
[null,"Papua New Guinea","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Hungary","Europe and Central Asia",348]
[null,"Paraguay","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Iceland","Europe and Central Asia",352]
[null,"Peru","Latin America and Caribbean","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Ireland","Europe and Central Asia",372]
[null,"Philippines","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Italy","Europe and Central Asia",380]
[null,"Rwanda","Africa","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Kazakhstan","Europe and Central Asia",398]
[null,"Saint Kitts and Nevis","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Kyrgyzstan","Europe and Central Asia",417]
[null,"Saint Lucia","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Latvia","Europe and Central Asia",428]
[null,"Samoa","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Lithuania","Europe and Central Asia",440]
[null,"Sao Tome and Principe","Africa","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Luxembourg","Europe and Central Asia",442]
[null,"Senegal","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Malta","Europe and Central Asia",470]
[null,"Seychelles","Africa","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Moldova","Europe and Central Asia",498]
[null,"Sierra Leone","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Netherlands","Europe and Central Asia",528]
[null,"Solomon Islands","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Norway","Europe and Central Asia",578]
[null,"Somalia","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Poland","Europe and Central Asia",616]
[null,"South Africa","Africa","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Portugal","Europe and Central Asia",620]
[null,"South Sudan","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Romania","Europe and Central Asia",642]
[null,"Sri Lanka","South Asia","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Slovakia","Europe and Central Asia",703]
[null,"Sudan","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Slovenia","Europe and Central Asia",705]
[null,"Tajikistan","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Spain","Europe and Central Asia",724]
[null,"Thailand","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Sweden","Europe and Central Asia",752]
[null,"Timor-Leste","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Switzerland","Europe and Central Asia",756]
[null,"Togo","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Tajikistan","Europe and Central Asia",762]
[null,"Tonga","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Turkey","Europe and Central Asia",792]
[null,"Trinidad and Tobago","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Turkmenistan","Europe and Central Asia",795]
[null,"Tunisia","Middle East and North Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Ukraine","Europe and Central Asia",804]
[null,"Turkey","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"United Kingdom","Europe and Central Asia",826]
[null,"Turkmenistan","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Uzbekistan","Europe and Central Asia",860]
[null,"Tuvalu","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Antigua and Barbuda","Latin America and Caribbean",28]
[null,"Uganda","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Argentina","Latin America and Caribbean",32]
[null,"Ukraine","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Bahamas","Latin America and Caribbean",44]
[null,"United Republic of Tanzania","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Barbados","Latin America and Caribbean",52]
[null,"Uruguay","Latin America and Caribbean","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Belize","Latin America and Caribbean",84]
[null,"Uzbekistan","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Bolivia (Plurinational State of)","Latin America and Caribbean",68]
[null,"Vanuatu","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Brazil","Latin America and Caribbean",76]
[null,"Venezuela (Bolivarian Republic of)","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Chile","Latin America and Caribbean",152]
[null,"Viet Nam","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Colombia","Latin America and Caribbean",170]
[null,"Yemen","Middle East and North Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Costa Rica","Latin America and Caribbean",188]
[null,"Zambia","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Dominica","Latin America and Caribbean",212]
[null,"Zimbabwe","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Dominican Republic","Latin America and Caribbean",214]
[null,"Austria","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Ecuador","Latin America and Caribbean",218]
[null,"Belgium","Europe and Central Asia","Temperate, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0},null,null,null,null,null,null,"El Salvador","Latin America and Caribbean",222]
[null,"Bulgaria","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Grenada","Latin America and Caribbean",308]
[null,"Croatia","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Guatemala","Latin America and Caribbean",320]
[null,"Cyprus","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Guinea","Latin America and Caribbean",324]
[null,"Czech Republic","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Guinea-Bissau","Latin America and Caribbean",624]
[null,"Denmark","Europe and Central Asia","Temperate, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0},null,null,null,null,null,null,"Guyana","Latin America and Caribbean",328]
[null,"Estonia","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Haiti","Latin America and Caribbean",332]
[null,"Finland","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Honduras","Latin America and Caribbean",340]
[null,"France","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Jamaica","Latin America and Caribbean",388]
[null,"Germany","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Mexico","Latin America and Caribbean",484]
[null,"Greece","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Nicaragua","Latin America and Caribbean",558]
[null,"Hungary","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Panama","Latin America and Caribbean",591]
[null,"Iceland","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Paraguay","Latin America and Caribbean",600]
[null,"Ireland","Europe and Central Asia","Temperate, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0},null,null,null,null,null,null,"Peru","Latin America and Caribbean",604]
[null,"Italy","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Saint Kitts and Nevis","Latin America and Caribbean",659]
[null,"Latvia","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Saint Lucia","Latin America and Caribbean",662]
[null,"Lithuania","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Trinidad and Tobago","Latin America and Caribbean",780]
[null,"Luxembourg","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Uruguay","Latin America and Caribbean",858]
[null,"Malta","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Venezuela (Bolivarian Republic of)","Latin America and Caribbean",862]
[null,"Netherlands","Europe and Central Asia","Temperate, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0},null,null,null,null,null,null,"Algeria","Middle East and North Africa",12]
[null,"Norway","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Egypt","Middle East and North Africa",818]
[null,"Poland","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Lebanon","Middle East and North Africa",422]
[null,"Portugal","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Morocco","Middle East and North Africa",504]
[null,"Romania","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Pakistan","Middle East and North Africa",586]
[null,"Slovakia","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Tunisia","Middle East and North Africa",788]
[null,"Slovenia","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Yemen","Middle East and North Africa",887]
[null,"Spain","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Canada","North America",124]
[null,"Sweden","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"United States of America","North America",840]
[null,"Switzerland","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Bangladesh","South Asia",50]
[null,"United Kingdom","Europe and Central Asia","Temperate, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0},null,null,null,null,null,null,"Bhutan","South Asia",64]
[null,"Australia","East Asia and Pacific","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"India","South Asia",356]
[null,"Japan","East Asia and Pacific","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Maldives","South Asia",462]
[null,"New Zealand","East Asia and Pacific","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Myanmar","South Asia",104]
[null,"United States of America","North America","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Nepal","South Asia",524]
[null,"Canada","North America","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Sri Lanka","South Asia",144]

{"sheet":"Country List","index":12,"n_rows":228,"n_cols":17,"rows_kept":228,"cut":false,"hidden":true,"merged":[]}
[]
[]
[null,null,null,null,null,null,null,"World Bank Group Classification",null,null,null,"World bank Waste data","Yield data (MapSMAP)","Water use data","UN country",null,"WWF country risk profiles (Biodiversity and Water)"]
[null,"IFC Country","Region","FAO country name",null,null,"Tool country list","WB Group country","Code","Region","Income group","WB Waste country","MapSPAM classification","Water Footprint Network","UN country","UN country code","WWF risk profile country"]
[null,"Algeria","Middle East & North Africa",null,null,null,"","Afghanistan","AFG","South Asia","Low income","Afghanistan","Afghanistan","Afghanistan","Afghanistan",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":4},"Afghanistan"]
[null,"Angola","Sub-Saharan Africa",null,null,null,"","Albania","ALB","Europe & Central Asia","Upper middle income","Albania","Albania","Albania","Albania",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":8},"Albania"]
[null,"Antigua and Barbuda","Latin America & Caribbean",null,null,null,"Algeria","Algeria","DZA","Middle East & North Africa","Upper middle income","Algeria","Algeria","Algeria","Algeria",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":12},"Algeria"]
[null,"Argentina","Latin America & Caribbean",null,null,null,"","American Samoa","ASM","East Asia & Pacific","High income","American Samoa","","American Samoa","American Samoa",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":16},"American Samoa"]
[null,"Armenia","Europe & Central Asia",null,null,null,"","Andorra","AND","Europe & Central Asia","High income","Andorra","","","Andorra",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":20},"Andorra"]
[null,"Australia","East Asia & Pacific",null,null,null,"Angola","Angola","AGO","Sub-Saharan Africa","Lower middle income","Angola","Angola","Angola","Angola",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":24},"Angola"]
[null,"Austria","Europe & Central Asia",null,null,null,"Antigua and Barbuda","Antigua and Barbuda","ATG","Latin America & Caribbean","High income","Antigua and Barbuda","Antigua and Barbuda","Antigua and Barbuda","Antigua and Barbuda",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":28},"Antigua and Barbuda"]
[null,"Azerbaijan","Europe & Central Asia",null,null,null,"Argentina","Argentina","ARG","Latin America & Caribbean","Upper middle income","Argentina","Argentina","Argentina","Argentina",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":32},"Argentina"]
[null,"Bahamas","Latin America & Caribbean",null,null,null,"Armenia","Armenia","ARM","Europe & Central Asia","Upper middle income","Armenia","Armenia","Armenia","Armenia",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":51},"Armenia"]
[null,"Bangladesh","South Asia",null,null,null,"","Aruba","ABW","Latin America & Caribbean","High income","Aruba","","","Aruba",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":533},"Aruba"]
[null,"Barbados","Latin America & Caribbean",null,null,null,"Australia","Australia","AUS","East Asia & Pacific","High income","Australia","Australia","Australia","Australia",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":36},"Australia"]
[null,"Belgium","Europe & Central Asia",null,null,null,"Austria","Austria","AUT","Europe & Central Asia","High income","Austria","Austria","Austria","Austria",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":40},"Austria"]
[null,"Belize","Latin America & Caribbean",null,null,null,"Azerbaijan","Azerbaijan","AZE","Europe & Central Asia","Upper middle income","Azerbaijan","Azerbaijan","Azerbaijan","Azerbaijan",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":31},"Azerbaijan"]
[null,"Benin","Sub-Saharan Africa",null,null,null,"Bahamas","Bahamas, The","BHS","Latin America & Caribbean","High income","Bahamas, The","Bahamas","Bahamas, The","Bahamas",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":44},"Bahamas"]
[null,"Bhutan","South Asia",null,null,null,"","Bahrain","BHR","Middle East & North Africa","High income","Bahrain","Bahrain","Bahrain","Bahrain",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":48},"Bahrain"]
[null,"Bolivia (Plurinational State of)","Latin America & Caribbean",null,null,null,"Bangladesh","Bangladesh","BGD","South Asia","Lower middle income","Bangladesh","Bangladesh","Bangladesh","Bangladesh",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":50},"Bangladesh"]
[null,"Bosnia and Herzegovina","Europe & Central Asia",null,null,null,"Barbados","Barbados","BRB","Latin America & Caribbean","High income","Barbados","Barbados","Barbados","Barbados",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":52},"Barbados"]
[null,"Botswana","Sub-Saharan Africa",null,null,null,"","Belarus","BLR","Europe & Central Asia","Upper middle income","Belarus","Belarus","Belarus","Belarus",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":112},"Belarus"]
[null,"Brazil","Latin America & Caribbean",null,null,null,"Belgium","Belgium","BEL","Europe & Central Asia","High income","Belgium","Belgium","Belgium","Belgium",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":56},"Belgium"]
[null,"Bulgaria","Europe & Central Asia",null,null,null,"Belize","Belize","BLZ","Latin America & Caribbean","Upper middle income","Belize","Belize","Belize","Belize",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":84},"Belize"]
[null,"Burkina Faso","Sub-Saharan Africa",null,null,null,"Benin","Benin","BEN","Sub-Saharan Africa","Lower middle income","Benin","Benin","Benin","Benin",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":204},"Benin"]
[null,"Burundi","Sub-Saharan Africa",null,null,null,"","Bermuda","BMU","North America","High income","Bermuda","","Bermuda","Bermuda",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":60},"Bermuda"]
[null,"Cabo Verde","Sub-Saharan Africa",null,null,null,"Bhutan","Bhutan","BTN","South Asia","Lower middle income","Bhutan","Bhutan","Bhutan","Bhutan",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":64},"Bhutan"]
[null,"Cambodia","East Asia & Pacific",null,null,null,"Bolivia (Plurinational State of)","Bolivia","BOL","Latin America & Caribbean","Lower middle income","Bolivia","Bolivia","Bolivia","Bolivia (Plurinational State of)",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":68},"Bolivia"]
[null,"Cameroon","Sub-Saharan Africa",null,null,null,"Bosnia and Herzegovina","Bosnia and Herzegovina","BIH","Europe & Central Asia","Upper middle income","Bosnia and Herzegovina","Bosnia and Herzegovina","Bosnia and Herzegovina","Bosnia and Herzegovina",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":70},"Bosnia and Herzegovina"]
[null,"Canada","North America",null,null,null,"Botswana","Botswana","BWA","Sub-Saharan Africa","Upper middle income","Botswana","Botswana","Botswana","Botswana",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":72},"Botswana"]
[null,"Central African Republic","Sub-Saharan Africa",null,null,null,"Brazil","Brazil","BRA","Latin America & Caribbean","Upper middle income","Brazil","Brazil","Brazil","Brazil",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":76},"Brazil"]
[null,"Chad","Sub-Saharan Africa",null,null,null,"","British Virgin Islands","VGB","Latin America & Caribbean","High income","British Virgin Islands","","","British Virgin Islands",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":92},"British Virgin Islands"]
[null,"Chile","Latin America & Caribbean",null,null,null,"","Brunei Darussalam","BRN","East Asia & Pacific","High income","Brunei Darussalam","Brunei Darussalam","Brunei Darussalam","Brunei Darussalam",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":96},"Brunei Darussalam"]
[null,"China","East Asia & Pacific",null,null,null,"Bulgaria","Bulgaria","BGR","Europe & Central Asia","High income","Bulgaria","Bulgaria","Bulgaria","Bulgaria",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":100},"Bulgaria"]
[null,"Colombia","Latin America & Caribbean",null,null,null,"Burkina Faso","Burkina Faso","BFA","Sub-Saharan Africa","Low income","Burkina Faso","Burkina Faso","Burkina Faso","Burkina Faso",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":854},"Burkina Faso"]
[null,"Comoros","Sub-Saharan Africa",null,null,null,"Burundi","Burundi","BDI","Sub-Saharan Africa","Low income","Burundi","Burundi","Burundi","Burundi",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":108},"Burundi"]
[null,"Congo","Sub-Saharan Africa",null,null,null,"Cabo Verde","Cabo Verde","CPV","Sub-Saharan Africa","Lower middle income","Cabo Verde","","Cape Verde","Cabo Verde",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":132},"Cabo Verde"]
[null,"Costa Rica","Latin America & Caribbean",null,null,null,"Cambodia","Cambodia","KHM","East Asia & Pacific","Lower middle income","Cambodia","Cambodia","Cambodia","Cambodia",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":116},"Cambodia"]
[null,"Cote d'Ivoire","Sub-Saharan Africa","Côte d'Ivoire",null,null,"Cameroon","Cameroon","CMR","Sub-Saharan Africa","Lower middle income","Cameroon","Cameroon","Cameroon","Cameroon",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":120},"Cameroon"]
[null,"Croatia","Europe & Central Asia",null,null,null,"Canada","Canada","CAN","North America","High income","Canada","Canada","Canada","Canada",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":124},"Canada"]
[null,"Cyprus","Europe & Central Asia",null,null,null,"","Cayman Islands","CYM","Latin America & Caribbean","High income","Cayman Islands","","Cayman Islands","Cayman Islands",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":136},"Cayman Islands"]
[null,"Czech Republic","Europe & Central Asia","Czechia",null,null,"Central African Republic","Central African Republic","CAF","Sub-Saharan Africa","Low income","Central African Republic","Central African Republic","Central African Republic","Central African Republic",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":140},"Central African Republic"]
[null,"Democratic Republic of the Congo","Sub-Saharan Africa",null,null,null,"Chad","Chad","TCD","Sub-Saharan Africa","Low income","Chad","Chad","Chad","Chad",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":148},"Chad"]
[null,"Denmark","Europe & Central Asia",null,null,null,"","Channel Islands","CHI","Europe & Central Asia","High income","Channel Islands","","","",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":""}]
[null,"Dominica","Latin America & Caribbean",null,null,null,"Chile","Chile","CHL","Latin America & Caribbean","High income","Chile","Chile","Chile","Chile",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":152},"Chile"]
[null,"Dominican Republic","Latin America & Caribbean",null,null,null,"China","China","CHN","East Asia & Pacific","Upper middle income","China","China","China","China",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":156},"China"]
[null,"Ecuador","Latin America & Caribbean",null,null,null,"Colombia","Colombia","COL","Latin America & Caribbean","Upper middle income","Colombia","Colombia","Colombia","Colombia",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":170},"Colombia"]
[null,"Egypt","Middle East & North Africa",null,null,null,"Comoros","Comoros","COM","Sub-Saharan Africa","Lower middle income","Comoros","","Comoros","Comoros",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":174},"Comoros"]
[null,"El Salvador","Latin America & Caribbean",null,null,null,"Democratic Republic of the Congo","Congo, Dem. Rep.","COD","Sub-Saharan Africa","Low income","Congo, Dem. Rep.","Democratic Republic of the Congo","Congo, Democratic Republic of the","Democratic Republic of the Congo",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":180},"Congo"]
[null,"Equatorial Guinea","Sub-Saharan Africa",null,null,null,"Congo","Congo, Rep.","COG","Sub-Saharan Africa","Lower middle income","Congo, Rep.","Congo","Congo","Congo",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":178},"Congo DRC"]
[null,"Eritrea","Sub-Saharan Africa",null,null,null,"Costa Rica","Costa Rica","CRI","Latin America & Caribbean","Upper middle income","Costa Rica","Costa Rica","Costa Rica","Costa Rica",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":188},"Costa Rica"]
[null,"Estonia","Europe & Central Asia",null,null,null,"Cote d'Ivoire","Côte d’Ivoire","CIV","Sub-Saharan Africa","Lower middle income","Côte d’Ivoire","Cote dIvoire","Cote d'Ivoire","Côte d’Ivoire",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":384},"Côte d'Ivoire"]
[null,"Eswatini","Sub-Saharan Africa",null,null,null,"Croatia","Croatia","HRV","Europe & Central Asia","High income","Croatia","Croatia","Croatia","Croatia",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":191},"Croatia"]
[null,"Ethiopia","Sub-Saharan Africa",null,null,null,"","Cuba","CUB","Latin America & Caribbean","Upper middle income","Cuba","Cuba","Cuba","Cuba",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":192},"Cuba"]
[null,"Fiji","East Asia & Pacific",null,null,null,"","Curaçao","CUW","Latin America & Caribbean","High income","Curacao","","","Curaçao",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":531},"Curacao"]
[null,"Finland","Europe & Central Asia",null,null,null,"Cyprus","Cyprus","CYP","Europe & Central Asia","High income","Cyprus","Cyprus","Cyprus","Cyprus",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":196},"Cyprus"]
[null,"France","Europe & Central Asia",null,null,null,"Czech Republic","Czechia","CZE","Europe & Central Asia","High income","Czech Republic","Czechia","Czech Republic","Czechia",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":203},"Czech Republic"]
[null,"Gabon","Sub-Saharan Africa",null,null,null,"Denmark","Denmark","DNK","Europe & Central Asia","High income","Denmark","Denmark","Denmark","Denmark",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":208},"Denmark"]
[null,"Gambia","Sub-Saharan Africa",null,null,null,"","Djibouti","DJI","Middle East & North Africa","Lower middle income","Djibouti","Djibouti","Djibouti","Djibouti",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":262},"Djibouti"]
[null,"Germany","Europe & Central Asia",null,null,null,"Dominica","Dominica","DMA","Latin America & Caribbean","Upper middle income","Dominica","Dominica","Dominica","Dominica",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":212},"Dominica"]
[null,"Georgia","Europe & Central Asia",null,null,null,"Dominican Republic","Dominican Republic","DOM","Latin America & Caribbean","Upper middle income","Dominican Republic","Dominican Republic","Dominican Republic","Dominican Republic",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":214},"Dominican Republic"]
[null,"Ghana","Sub-Saharan Africa",null,null,null,"Ecuador","Ecuador","ECU","Latin America & Caribbean","Upper middle income","Ecuador","Ecuador","Ecuador","Ecuador",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":218},"Ecuador"]
[null,"Greece","Europe & Central Asia",null,null,null,"Egypt","Egypt, Arab Rep.","EGY","Middle East & North Africa","Lower middle income","Egypt, Arab Rep.","Egypt","Egypt","Egypt",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":818},"Egypt"]
[null,"Grenada","Latin America & Caribbean",null,null,null,"El Salvador","El Salvador","SLV","Latin America & Caribbean","Upper middle income","El Salvador","El Salvador","El Salvador","El Salvador",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":222},"El Salvador"]
[null,"Guatemala","Latin America & Caribbean",null,null,null,"Equatorial Guinea","Equatorial Guinea","GNQ","Sub-Saharan Africa","Upper middle income","Equatorial Guinea","Equatorial Guinea","Equatorial Guinea","Equatorial Guinea",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":226},"Equatorial Guinea"]
[null,"Guinea","Sub-Saharan Africa",null,null,null,"Eritrea","Eritrea","ERI","Sub-Saharan Africa","Low income","Eritrea","Eritrea","Eritrea","Eritrea",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":232},"Eritrea"]
[null,"Guinea-Bissau","Sub-Saharan Africa",null,null,null,"Estonia","Estonia","EST","Europe & Central Asia","High income","Estonia","Estonia","Estonia","Estonia",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":233},"Estonia"]
[null,"Guyana","Latin America & Caribbean",null,null,null,"Eswatini","Eswatini","SWZ","Sub-Saharan Africa","Lower middle income","Eswatini","Swaziland","Swaziland","Eswatini",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":748},"Eswatini"]
[null,"Haiti","Latin America & Caribbean",null,null,null,"Ethiopia","Ethiopia","ETH","Sub-Saharan Africa","Low income","Ethiopia","Ethiopia","Ethiopia","Ethiopia",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":231},"Ethiopia"]
[null,"Honduras","Latin America & Caribbean",null,null,null,"","Faroe Islands","FRO","Europe & Central Asia","High income","Faeroe Islands","","","Faroe Islands",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":234},"Faroe Islands"]
[null,"Hungary","Europe & Central Asia",null,null,null,"Fiji","Fiji","FJI","East Asia & Pacific","Upper middle income","Fiji","Fiji","Fiji","Fiji",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":242},"Fiji"]
[null,"Iceland","Europe & Central Asia",null,null,null,"Finland","Finland","FIN","Europe & Central Asia","High income","Finland","Finland","Finland","Finland",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":246},"Finland"]
[null,"India","South Asia",null,null,null,"France","France","FRA","Europe & Central Asia","High income","France","France","France","France",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":250},"France"]
[null,"Indonesia","East Asia & Pacific",null,null,null,"","French Polynesia","PYF","East Asia & Pacific","High income","French Polynesia","","French Polynesia","French Polynesia",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":258},"French Polynesia"]
[null,"Ireland","Europe & Central Asia",null,null,null,"Gabon","Gabon","GAB","Sub-Saharan Africa","Upper middle income","Gabon","Gabon","Gabon","Gabon",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":266},"Gabon"]
[null,"Italy","Europe & Central Asia",null,null,null,"Gambia","Gambia, The","GMB","Sub-Saharan Africa","Low income","Gambia, The","Gambia","Gambia, The","Gambia",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":270},"Gambia"]
[null,"Jamaica","Latin America & Caribbean",null,null,null,"Georgia","Georgia","GEO","Europe & Central Asia","Upper middle income","Georgia","Georgia","Georgia","Georgia",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":268},"Georgia"]
[null,"Japan","East Asia & Pacific",null,null,null,"Germany","Germany","DEU","Europe & Central Asia","High income","Germany","Germany","Germany","Germany",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":276},"Germany"]
[null,"Kazakhstan","Europe & Central Asia",null,null,null,"Ghana","Ghana","GHA","Sub-Saharan Africa","Lower middle income","Ghana","Ghana","Ghana","Ghana",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":288},"Ghana"]
[null,"Kenya","Sub-Saharan Africa",null,null,null,"","Gibraltar","GIB","Europe & Central Asia","High income","Gibraltar","","","Gibraltar",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":292},"Gibraltar"]
[null,"Kiribati","East Asia & Pacific",null,null,null,"Greece","Greece","GRC","Europe & Central Asia","High income","Greece","Greece","Greece","Greece",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":300},"Greece"]
[null,"Kyrgyzstan","Europe & Central Asia",null,null,null,"","Greenland","GRL","Europe & Central Asia","High income","Greenland","","","Greenland",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":304},"Greenland"]
[null,"Lao People's Democratic Republic","East Asia & Pacific",null,null,null,"Grenada","Grenada","GRD","Latin America & Caribbean","Upper middle income","Grenada","Grenada","Grenada","Grenada",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":308},"Grenada"]
[null,"Latvia","Europe & Central Asia",null,null,null,"","Guam","GUM","East Asia & Pacific","High income","Guam","","Guam","Guam",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":316},"Guam"]
[null,"Lebanon","Middle East & North Africa",null,null,null,"Guatemala","Guatemala","GTM","Latin America & Caribbean","Upper middle income","Guatemala","Guatemala","Guatemala","Guatemala",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":320},"Guatemala"]
[null,"Lesotho","Sub-Saharan Africa",null,null,null,"Guinea","Guinea","GIN","Sub-Saharan Africa","Lower middle income","Guinea","Guinea","Guinea","Guinea",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":324},"Guinea"]
[null,"Liberia","Sub-Saharan Africa",null,null,null,"Guinea-Bissau","Guinea-Bissau","GNB","Sub-Saharan Africa","Low income","Guinea-Bissau","Guinea-Bissau","Guinea-Bissau","Guinea-Bissau",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":624},"Guinea-Bissau"]
[null,"Lithuania","Europe & Central Asia",null,null,null,"Guyana","Guyana","GUY","Latin America & Caribbean","High income","Guyana","Guyana","Guyana","Guyana",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":328},"Guyana"]
[null,"Luxembourg","Europe & Central Asia",null,null,null,"Haiti","Haiti","HTI","Latin America & Caribbean","Lower middle income","Haiti","Haiti","Haiti","Haiti",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":332},"Haiti"]
[null,"Madagascar","Sub-Saharan Africa",null,null,null,"Honduras","Honduras","HND","Latin America & Caribbean","Lower middle income","Honduras","Honduras","Honduras","Honduras",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":340},"Honduras"]
[null,"Malawi","Sub-Saharan Africa",null,null,null,"","Hong Kong SAR, China","HKG","East Asia & Pacific","High income","Hong Kong SAR, China","","","",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":""}]
[null,"Malaysia","East Asia & Pacific",null,null,null,"Hungary","Hungary","HUN","Europe & Central Asia","High income","Hungary","Hungary","Hungary","Hungary",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":348},"Hungary"]
[null,"Maldives","South Asia",null,null,null,"Iceland","Iceland","ISL","Europe & Central Asia","High income","Iceland","Iceland","Iceland","Iceland",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":352},"Iceland"]
[null,"Mali","Sub-Saharan Africa",null,null,null,"India","India","IND","South Asia","Lower middle income","India","India","India","India",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":356},"India"]
[null,"Malta","Europe & Central Asia",null,null,null,"Indonesia","Indonesia","IDN","East Asia & Pacific","Upper middle income","Indonesia","Indonesia","Indonesia","Indonesia",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":360},"Indonesia"]
[null,"Marshall Islands","East Asia & Pacific",null,null,null,"","Iran, Islamic Rep.","IRN","Middle East & North Africa","Upper middle income","Iran, Islamic Rep.","Iran  (Islamic Republic of)","Iran","Iran (Islamic Republic of)",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":364},"Iran"]
[null,"Mauritania","Sub-Saharan Africa",null,null,null,"","Iraq","IRQ","Middle East & North Africa","Upper middle income","Iraq","Iraq","Iraq","Iraq",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":368},"Iraq"]
[null,"Mauritius","Sub-Saharan Africa",null,null,null,"Ireland","Ireland","IRL","Europe & Central Asia","High income","Ireland","Ireland","Ireland","Ireland",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":372},"Ireland"]
[null,"Mexico","Latin America & Caribbean",null,null,null,"","Isle of Man","IMN","Europe & Central Asia","High income","Isle of Man","","","Isle of Man",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":833},"Isle of Man"]
[null,"Micronesia (Federated States of)","East Asia & Pacific",null,null,null,"","Israel","ISR","Middle East & North Africa","High income","Israel","Israel","Israel","Israel",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":376},"Israel"]
[null,"Moldova","Europe & Central Asia","Republic of Moldova",null,null,"Italy","Italy","ITA","Europe & Central Asia","High income","Italy","Italy","Italy","Italy",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":380},"Italy"]
[null,"Mongolia","East Asia & Pacific",null,null,null,"Jamaica","Jamaica","JAM","Latin America & Caribbean","Upper middle income","Jamaica","Jamaica","Jamaica","Jamaica",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":388},"Jamaica"]
[null,"Morocco","Middle East & North Africa",null,null,null,"Japan","Japan","JPN","East Asia & Pacific","High income","Japan","Japan","Japan","Japan",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":392},"Japan"]
[null,"Mozambique","Sub-Saharan Africa",null,null,null,"","Jordan","JOR","Middle East & North Africa","Lower middle income","Jordan","Jordan","Jordan","Jordan",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":400},"Jordan"]
[null,"Myanmar","South Asia",null,null,null,"Kazakhstan","Kazakhstan","KAZ","Europe & Central Asia","Upper middle income","Kazakhstan","Kazakhstan","Kazakhstan","Kazakhstan",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":398},"Kazakhstan"]
[null,"Namibia","Sub-Saharan Africa",null,null,null,"Kenya","Kenya","KEN","Sub-Saharan Africa","Lower middle income","Kenya","Kenya","Kenya","Kenya",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":404},"Kenya"]
[null,"Nepal","South Asia",null,null,null,"Kiribati","Kiribati","KIR","East Asia & Pacific","Lower middle income","Kiribati","","Kiribati","Kiribati",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":296},"Kiribati"]
[null,"Netherlands","Europe & Central Asia","Netherlands (Kingdom of the)",null,null,"","Korea, Dem. People's Rep.","PRK","East Asia & Pacific","Low income","Korea, Dem. People's Rep.","Dem Peoples Rep of Korea","Korea, Democratic People's Republic of","Democratic People's Republic of Korea",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":408},"North Korea"]
[null,"New Zealand","East Asia & Pacific",null,null,null,"","Korea, Rep.","KOR","East Asia & Pacific","High income","Korea, Rep.","South Korea","Korea, Republic of","Republic of Korea",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":410},"South Korea"]
[null,"Nicaragua","Latin America & Caribbean",null,null,null,"","Kosovo","XKX","Europe & Central Asia","Upper middle income","Kosovo","","","",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":""}]
[null,"Niger","Sub-Saharan Africa",null,null,null,"","Kuwait","KWT","Middle East & North Africa","High income","Kuwait","Kuwait","Kuwait","Kuwait",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":414},"Kuwait"]
[null,"Nigeria","Sub-Saharan Africa",null,null,null,"Kyrgyzstan","Kyrgyz Republic","KGZ","Europe & Central Asia","Lower middle income","Kyrgyz Republic","Kyrgyzstan","Kyrgyzstan","Kyrgyzstan",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":417},"Kyrgyzstan"]
[null,"Norway","Europe & Central Asia",null,null,null,"Lao People's Democratic Republic","Lao PDR","LAO","East Asia & Pacific","Lower middle income","Lao PDR","Lao Peoples Democratic Republic","Laos","Lao People's Democratic Republic",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":418},"Laos"]
[null,"Pakistan","South Asia",null,null,null,"Latvia","Latvia","LVA","Europe & Central Asia","High income","Latvia","Latvia","Latvia","Latvia",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":428},"Latvia"]
[null,"Panama","Latin America & Caribbean",null,null,null,"Lebanon","Lebanon","LBN","Middle East & North Africa","Lower middle income","Lebanon","Lebanon","Lebanon","Lebanon",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":422},"Lebanon"]
[null,"Papua New Guinea","East Asia & Pacific",null,null,null,"Lesotho","Lesotho","LSO","Sub-Saharan Africa","Lower middle income","Lesotho","Lesotho","Lesotho","Lesotho",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":426},"Lesotho"]
[null,"Paraguay","Latin America & Caribbean",null,null,null,"Liberia","Liberia","LBR","Sub-Saharan Africa","Low income","Liberia","Liberia","Liberia","Liberia",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":430},"Liberia"]
[null,"Peru","Latin America & Caribbean",null,null,null,"","Libya","LBY","Middle East & North Africa","Upper middle income","Libya","Libya","Libya","Libya",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":434},"Libya"]
[null,"Philippines","East Asia & Pacific",null,null,null,"","Liechtenstein","LIE","Europe & Central Asia","High income","Liechtenstein","","","Liechtenstein",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":438},"Liechtenstein"]
[null,"Poland","Europe & Central Asia",null,null,null,"Lithuania","Lithuania","LTU","Europe & Central Asia","High income","Lithuania","Lithuania","Lithuania","Lithuania",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":440},"Lithuania"]
[null,"Portugal","Europe & Central Asia",null,null,null,"Luxembourg","Luxembourg","LUX","Europe & Central Asia","High income","Luxembourg","Luxembourg","Luxembourg","Luxembourg",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":442},"Luxembourg"]
[null,"Romania","Europe & Central Asia",null,null,null,"","Macao SAR, China","MAC","East Asia & Pacific","High income","Macao SAR, China","","","",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":""}]
[null,"Rwanda","Sub-Saharan Africa",null,null,null,"Madagascar","Madagascar","MDG","Sub-Saharan Africa","Low income","Madagascar","Madagascar","Madagascar","Madagascar",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":450},"Madagascar"]
[null,"Saint Kitts and Nevis","Latin America & Caribbean",null,null,null,"Malawi","Malawi","MWI","Sub-Saharan Africa","Low income","Malawi","Malawi","Malawi","Malawi",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":454},"Malawi"]
[null,"Saint Lucia","Latin America & Caribbean",null,null,null,"Malaysia","Malaysia","MYS","East Asia & Pacific","Upper middle income","Malaysia","Malaysia","Malaysia","Malaysia",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":458},"Malaysia"]
[null,"Samoa","East Asia & Pacific",null,null,null,"Maldives","Maldives","MDV","South Asia","Upper middle income","Maldives","","Maldives","Maldives",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":462},"Maldives"]
[null,"Sao Tome and Principe","Sub-Saharan Africa",null,null,null,"Mali","Mali","MLI","Sub-Saharan Africa","Low income","Mali","Mali","Mali","Mali",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":466},"Mali"]
[null,"Senegal","Sub-Saharan Africa",null,null,null,"Malta","Malta","MLT","Middle East & North Africa","High income","Malta","Malta","Malta","Malta",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":470},"Malta"]
[null,"Seychelles","Sub-Saharan Africa",null,null,null,"Marshall Islands","Marshall Islands","MHL","East Asia & Pacific","Upper middle income","Marshall Islands","","Marshall Islands","Marshall Islands",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":584},"Marshall Islands"]
[null,"Sierra Leone","Sub-Saharan Africa",null,null,null,"Mauritania","Mauritania","MRT","Sub-Saharan Africa","Lower middle income","Mauritania","Mauritania","Mauritania","Mauritania",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":478},"Mauritania"]
[null,"Slovakia","Europe & Central Asia",null,null,null,"Mauritius","Mauritius","MUS","Sub-Saharan Africa","Upper middle income","Mauritius","Mauritius","Mauritius","Mauritius",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":480},"Mauritius"]
[null,"Slovenia","Europe & Central Asia",null,null,null,"Mexico","Mexico","MEX","Latin America & Caribbean","Upper middle income","Mexico","Mexico","Mexico","Mexico",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":484},"Mexico"]
[null,"Solomon Islands","East Asia & Pacific",null,null,null,"Micronesia (Federated States of)","Micronesia, Fed. Sts.","FSM","East Asia & Pacific","Lower middle income","Micronesia, Fed. Sts.","","","",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":""},"Micronesia"]
[null,"Somalia","Sub-Saharan Africa",null,null,null,"Moldova","Moldova","MDA","Europe & Central Asia","Upper middle income","Moldova","Republic of Moldova","Moldova","Republic of Moldova",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":498},"Moldova"]
[null,"South Africa","Sub-Saharan Africa",null,null,null,"","Monaco","MCO","Europe & Central Asia","High income","Monaco","","","Monaco",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":492},"Monaco"]
[null,"South Sudan","Sub-Saharan Africa",null,null,null,"Mongolia","Mongolia","MNG","East Asia & Pacific","Upper middle income","Mongolia","Mongolia","Mongolia","Mongolia",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":496},"Mongolia"]
[null,"Spain","Europe & Central Asia",null,null,null,"","Montenegro","MNE","Europe & Central Asia","Upper middle income","Montenegro","Montenegro","Montenegro","Montenegro",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":499},"Montenegro"]
[null,"Sri Lanka","South Asia",null,null,null,"Morocco","Morocco","MAR","Middle East & North Africa","Lower middle income","Morocco","Morocco","Morocco","Morocco",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":504},"Morocco"]
[null,"Sudan","Sub-Saharan Africa",null,null,null,"Mozambique","Mozambique","MOZ","Sub-Saharan Africa","Low income","Mozambique","Mozambique","Mozambique","Mozambique",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":508},"Mozambique"]
[null,"Sweden","Europe & Central Asia",null,null,null,"Myanmar","Myanmar","MMR","East Asia & Pacific","Lower middle income","Myanmar","Myanmar","Myanmar","Myanmar",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":104},"Myanmar"]
[null,"Switzerland","Europe & Central Asia",null,null,null,"Namibia","Namibia","NAM","Sub-Saharan Africa","Upper middle income","Namibia","Namibia","Namibia","Namibia",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":516},"Namibia"]
[null,"Tajikistan","Europe & Central Asia",null,null,null,"","Nauru","NRU","East Asia & Pacific","High income","Nauru","","Nauru","Nauru",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":520},"Nauru"]
[null,"Thailand","East Asia & Pacific",null,null,null,"Nepal","Nepal","NPL","South Asia","Lower middle income","Nepal","Nepal","Nepal","Nepal",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":524},"Nepal"]
[null,"Timor-Leste","East Asia & Pacific",null,null,null,"Netherlands","Netherlands","NLD","Europe & Central Asia","High income","Netherlands","Netherlands","Netherlands","Netherlands",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":528},"Netherlands"]
[null,"Togo","Sub-Saharan Africa",null,null,null,"","New Caledonia","NCL","East Asia & Pacific","High income","New Caledonia","New Caledonia","New Caledonia","New Caledonia",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":540},"New Caledonia"]
[null,"Tonga","East Asia & Pacific",null,null,null,"New Zealand","New Zealand","NZL","East Asia & Pacific","High income","New Zealand","New Zealand","New Zealand","New Zealand",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":554},"New Zealand"]
[null,"Trinidad and Tobago","Latin America & Caribbean",null,null,null,"Nicaragua","Nicaragua","NIC","Latin America & Caribbean","Lower middle income","Nicaragua","Nicaragua","Nicaragua","Nicaragua",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":558},"Nicaragua"]
[null,"Tunisia","Middle East & North Africa",null,null,null,"Niger","Niger","NER","Sub-Saharan Africa","Low income","Niger","Niger","Niger","Niger",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":562},"Niger"]
[null,"Turkey","Europe & Central Asia","Türkiye",null,null,"Nigeria","Nigeria","NGA","Sub-Saharan Africa","Lower middle income","Nigeria","Nigeria","Nigeria","Nigeria",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":566},"Nigeria"]
[null,"Turkmenistan","Europe & Central Asia",null,null,null,"","North Macedonia","MKD","Europe & Central Asia","Upper middle income","Macedonia, FYR","North Macedonia","","North Macedonia",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":807},"North Macedonia"]
[null,"Tuvalu","East Asia & Pacific",null,null,null,"","Northern Mariana Islands","MNP","East Asia & Pacific","High income","Northern Mariana Islands","","","Northern Mariana Islands",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":580},"Northern Mariana Islands"]
[null,"Uganda","Sub-Saharan Africa",null,null,null,"Norway","Norway","NOR","Europe & Central Asia","High income","Norway","Norway","Norway","Norway",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":578},"Norway"]
[null,"Ukraine","Europe & Central Asia",null,null,null,"","Oman","OMN","Middle East & North Africa","High income","Oman","Oman","Oman","Oman",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":512},"Oman"]
[null,"United Kingdom","Europe & Central Asia","United Kingdom of Great Britain and Northern Ireland",null,null,"Pakistan","Pakistan","PAK","South Asia","Lower middle income","Pakistan","Pakistan","Pakistan","Pakistan",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":586},"Pakistan"]
[null,"United Republic of Tanzania","Sub-Saharan Africa",null,null,null,"","Palau","PLW","East Asia & Pacific","High income","Palau","","","Palau",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":585},"Palau"]
[null,"United States of America","North America",null,null,null,"Panama","Panama","PAN","Latin America & Caribbean","High income","Panama","Panama","Panama","Panama",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":591},"Panama"]
[null,"Uruguay","Latin America & Caribbean",null,null,null,"Papua New Guinea","Papua New Guinea","PNG","East Asia & Pacific","Lower middle income","Papua New Guinea","Papua New Guinea","Papua New Guinea","Papua New Guinea",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":598},"Papua New Guinea"]
[null,"Uzbekistan","Europe & Central Asia",null,null,null,"Paraguay","Paraguay","PRY","Latin America & Caribbean","Upper middle income","Paraguay","Paraguay","Paraguay","Paraguay",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":600},"Paraguay"]
[null,"Vanuatu","East Asia & Pacific",null,null,null,"Peru","Peru","PER","Latin America & Caribbean","Upper middle income","Peru","Peru","Peru","Peru",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":604},"Peru"]
[null,"Venezuela (Bolivarian Republic of)","Latin America & Caribbean",null,null,null,"Philippines","Philippines","PHL","East Asia & Pacific","Lower middle income","Philippines","Philippines","Philippines","Philippines",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":608},"Philippines"]
[null,"Viet Nam","East Asia & Pacific",null,null,null,"Poland","Poland","POL","Europe & Central Asia","High income","Poland","Poland","Poland","Poland",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":616},"Poland"]
[null,"Yemen","Middle East & North Africa",null,null,null,"Portugal","Portugal","PRT","Europe & Central Asia","High income","Portugal","Portugal","Portugal","Portugal",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":620},"Portugal"]
[null,"Zambia","Sub-Saharan Africa",null,null,null,"","Puerto Rico","PRI","Latin America & Caribbean","High income","Puerto Rico","Puerto Rico","Puerto Rico","Puerto Rico",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":630},"Puerto Rico"]
[null,"Zimbabwe","Sub-Saharan Africa",null,null,null,"","Qatar","QAT","Middle East & North Africa","High income","Qatar","Qatar","Qatar","Qatar",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":634},"Qatar"]
[null,null,null,null,null,null,"Romania","Romania","ROU","Europe & Central Asia","High income","Romania","Romania","Romania","Romania",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":642},"Romania"]
[null,null,null,null,null,null,"","Russian Federation","RUS","Europe & Central Asia","High income","Russian Federation","Russian Federation","Russian Federation","Russian Federation",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":643},"Russian Federation"]
[null,null,null,null,null,null,"Rwanda","Rwanda","RWA","Sub-Saharan Africa","Low income","Rwanda","Rwanda","Rwanda","Rwanda",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":646},"Rwanda"]
[null,null,null,null,null,null,"Samoa","Samoa","WSM","East Asia & Pacific","Lower middle income","Samoa","","Samoa","Samoa",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":882},"Samoa"]
[null,null,null,null,null,null,"","San Marino","SMR","Europe & Central Asia","High income","San Marino","","","San Marino",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":674},"San Marino"]
[null,null,null,null,null,null,"Sao Tome and Principe","São Tomé and Príncipe","STP","Sub-Saharan Africa","Lower middle income","São Tomé and Príncipe","Sao Tome and Principe","Sao Tome and Principe","",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":""},"Sao Tome and Principe"]
[null,null,null,null,null,null,"","Saudi Arabia","SAU","Middle East & North Africa","High income","Saudi Arabia","Saudi Arabia","Saudi Arabia","Saudi Arabia",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":682},"Saudi Arabia"]
[null,null,null,null,null,null,"Senegal","Senegal","SEN","Sub-Saharan Africa","Lower middle income","Senegal","Senegal","Senegal","Senegal",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":686},"Senegal"]
[null,null,null,null,null,null,"","Serbia","SRB","Europe & Central Asia","Upper middle income","Serbia","Serbia","Serbia","Serbia",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":688},"Serbia"]
[null,null,null,null,null,null,"Seychelles","Seychelles","SYC","Sub-Saharan Africa","High income","Seychelles","","Seychelles","Seychelles",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":690},"Seychelles"]
[null,null,null,null,null,null,"Sierra Leone","Sierra Leone","SLE","Sub-Saharan Africa","Low income","Sierra Leone","Sierra Leone","Sierra Leone","Sierra Leone",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":694},"Sierra Leone"]
[null,null,null,null,null,null,"","Singapore","SGP","East Asia & Pacific","High income","Singapore","","Singapore","Singapore",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":702},"Singapore"]
[null,null,null,null,null,null,"","Sint Maarten (Dutch part)","SXM","Latin America & Caribbean","High income","Sint Maarten (Dutch part)","","","Sint Maarten (Dutch part)",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":534},"Sint Maarten"]
[null,null,null,null,null,null,"Slovakia","Slovak Republic","SVK","Europe & Central Asia","High income","Slovak Republic","Slovakia","Slovakia","Slovakia",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":703},"Slovakia"]
[null,null,null,null,null,null,"Slovenia","Slovenia","SVN","Europe & Central Asia","High income","Slovenia","Slovenia","Slovenia","Slovenia",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":705},"Slovenia"]
[null,null,null,null,null,null,"Solomon Islands","Solomon Islands","SLB","East Asia & Pacific","Lower middle income","Solomon Islands","Solomon Islands","Solomon Islands","Solomon Islands",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":90},"Solomon Islands"]
[null,null,null,null,null,null,"Somalia","Somalia","SOM","Sub-Saharan Africa","Low income","Somalia","Somalia","Somalia","Somalia",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":706},"Somalia"]
[null,null,null,null,null,null,"South Africa","South Africa","ZAF","Sub-Saharan Africa","Upper middle income","South Africa","South Africa","South Africa","South Africa",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":710},"South Africa"]
[null,null,null,null,null,null,"South Sudan","South Sudan","SSD","Sub-Saharan Africa","Low income","South Sudan","South Sudan","","South Sudan",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":728},"South Sudan"]
[null,null,null,null,null,null,"Spain","Spain","ESP","Europe & Central Asia","High income","Spain","Spain","Spain","Spain",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":724},"Spain"]
[null,null,null,null,null,null,"Sri Lanka","Sri Lanka","LKA","South Asia","Lower middle income","Sri Lanka","Sri Lanka","Sri Lanka","Sri Lanka",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":144},"Sri Lanka"]
[null,null,null,null,null,null,"Saint Kitts and Nevis","St. Kitts and Nevis","KNA","Latin America & Caribbean","High income","St. Kitts and Nevis","Saint Kitts and Nevis","Saint Kitts and Nevis","Saint Kitts and Nevis",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":659},"Saint Kitts and Nevis"]
[null,null,null,null,null,null,"Saint Lucia","St. Lucia","LCA","Latin America & Caribbean","Upper middle income","St. Lucia","Saint Lucia","Saint Lucia","Saint Lucia",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":662},"Saint Lucia"]
[null,null,null,null,null,null,"","St. Martin (French part)","MAF","Latin America & Caribbean","High income","St. Martin (French part)",null,"","Saint Martin (French Part)",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":663},"Saint Martin"]
[null,null,null,null,null,null,"","St. Vincent and the Grenadines","VCT","Latin America & Caribbean","Upper middle income","St. Vincent and the Grenadines","Saint Vincent and the Grenadines","Saint Vincent and The Grenadines","Saint Vincent and the Grenadines",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":670},"Saint Vincent and the Grenadines"]
[null,null,null,null,null,null,"Sudan","Sudan","SDN","Sub-Saharan Africa","Low income","Sudan","Sudan","Sudan","Sudan",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":729},"Sudan"]
[null,null,null,null,null,null,"","Suriname","SUR","Latin America & Caribbean","Upper middle income","Suriname","Suriname","Suriname","Suriname",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":740},"Suriname"]
[null,null,null,null,null,null,"Sweden","Sweden","SWE","Europe & Central Asia","High income","Sweden","Sweden","Sweden","Sweden",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":752},"Sweden"]
[null,null,null,null,null,null,"Switzerland","Switzerland","CHE","Europe & Central Asia","High income","Switzerland","Switzerland","Switzerland","Switzerland",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":756},"Switzerland"]
[null,null,null,null,null,null,"","Syrian Arab Republic","SYR","Middle East & North Africa","Low income","Syrian Arab Republic","Syrian Arab Republic","Syrian Arab Republic","Syrian Arab Republic",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":760},"Syria"]
[null,null,null,null,null,null,"","Taiwan, China","TWN","East Asia & Pacific","High income","Taiwan","Taiwan","","Taiwan",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":158}]
[null,null,null,null,null,null,"Tajikistan","Tajikistan","TJK","Europe & Central Asia","Lower middle income","Tajikistan","Tajikistan","Tajikistan","Tajikistan",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":762},"Tajikistan"]
[null,null,null,null,null,null,"United Republic of Tanzania","Tanzania","TZA","Sub-Saharan Africa","Lower middle income","Tanzania","United Republic of Tanzania","Tanzania","United Republic of Tanzania",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":834},"Tanzania"]
[null,null,null,null,null,null,"Thailand","Thailand","THA","East Asia & Pacific","Upper middle income","Thailand","Thailand","Thailand","Thailand",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":764},"Thailand"]
[null,null,null,null,null,null,"Timor-Leste","Timor-Leste","TLS","East Asia & Pacific","Lower middle income","Timor-Leste","Timor-Leste","","Timor-Leste",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":626},"Timor-Leste"]
[null,null,null,null,null,null,"Togo","Togo","TGO","Sub-Saharan Africa","Low income","Togo","Togo","Togo","Togo",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":768},"Togo"]
[null,null,null,null,null,null,"Tonga","Tonga","TON","East Asia & Pacific","Upper middle income","Tonga","","Tonga","Tonga",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":776},"Tonga"]
[null,null,null,null,null,null,"Trinidad and Tobago","Trinidad and Tobago","TTO","Latin America & Caribbean","High income","Trinidad and Tobago","Trinidad and Tobago","Trinidad and Tobago","Trinidad and Tobago",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":780},"Trinidad and Tobago"]
[null,null,null,null,null,null,"Tunisia","Tunisia","TUN","Middle East & North Africa","Lower middle income","Tunisia","Tunisia","Tunisia","Tunisia",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":788},"Tunisia"]
[null,null,null,null,null,null,"Turkey","Türkiye","TUR","Europe & Central Asia","Upper middle income","Turkey","Turkey","Turkey","Turkey",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":792},"Turkey"]
[null,null,null,null,null,null,"Turkmenistan","Turkmenistan","TKM","Europe & Central Asia","Upper middle income","Turkmenistan","Turkmenistan","Turkmenistan","Turkmenistan",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":795},"Turkmenistan"]
[null,null,null,null,null,null,"","Turks and Caicos Islands","TCA","Latin America & Caribbean","High income","Turks and Caicos Islands","","","Turks and Caicos Islands",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":796},"Turks and Caicos Islands"]
[null,null,null,null,null,null,"Tuvalu","Tuvalu","TUV","East Asia & Pacific","Upper middle income","Tuvalu","","Tuvalu","Tuvalu",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":798},"Tuvalu"]
[null,null,null,null,null,null,"Uganda","Uganda","UGA","Sub-Saharan Africa","Low income","Uganda","Uganda","Uganda","Uganda",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":800},"Uganda"]
[null,null,null,null,null,null,"Ukraine","Ukraine","UKR","Europe & Central Asia","Upper middle income","Ukraine","Ukraine","Ukraine","Ukraine",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":804},"Ukraine"]
[null,null,null,null,null,null,"","United Arab Emirates","ARE","Middle East & North Africa","High income","United Arab Emirates","United Arab Emirates","United Arab Emirates","United Arab Emirates",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":784},"United Arab Emirates"]
[null,null,null,null,null,null,"United Kingdom","United Kingdom","GBR","Europe & Central Asia","High income","United Kingdom","United Kingdom of Great Britain and Northern Ireland","United Kingdom","United Kingdom of Great Britain and Northern Ireland",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":826},"United Kingdom"]
[null,null,null,null,null,null,"United States of America","United States","USA","North America","High income","United States","United States of America","United States of America","United States of America",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":840},"United States"]
[null,null,null,null,null,null,"Uruguay","Uruguay","URY","Latin America & Caribbean","High income","Uruguay","Uruguay","Uruguay","Uruguay",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":858},"Uruguay"]
[null,null,null,null,null,null,"Uzbekistan","Uzbekistan","UZB","Europe & Central Asia","Lower middle income","Uzbekistan","Uzbekistan","Uzbekistan","Uzbekistan",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":860},"Uzbekistan"]
[null,null,null,null,null,null,"Vanuatu","Vanuatu","VUT","East Asia & Pacific","Lower middle income","Vanuatu","Vanuatu","Vanuatu","Vanuatu",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":548},"Vanuatu"]
[null,null,null,null,null,null,"Venezuela (Bolivarian Republic of)","Venezuela, RB","VEN","Latin America & Caribbean",null,"Venezuela, RB","Venezuela","Venezuela","Venezuela (Bolivarian Republic of)",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":862},"Venezuela"]
[null,null,null,null,null,null,"Viet Nam","Vietnam","VNM","East Asia & Pacific","Lower middle income","Vietnam","Viet Nam","Vietnam","Viet Nam",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":704},"Vietnam"]
[null,null,null,null,null,null,null,"Virgin Islands (U.S.)","VIR","Latin America & Caribbean","High income","Virgin Islands (U.S.)","","","",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":""},"US Virgin Islands"]
[null,null,null,null,null,null,"","West Bank and Gaza","PSE","Middle East & North Africa","Lower middle income","West Bank and Gaza","","","",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":""},"Palestinian Territory"]
[null,null,null,null,null,null,"Yemen","Yemen, Rep.","YEM","Middle East & North Africa","Low income","Yemen, Rep.","Yemen","Yemen","Yemen",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":887},"Yemen"]
[null,null,null,null,null,null,"Zambia","Zambia","ZMB","Sub-Saharan Africa","Lower middle income","Zambia","Zambia","Zambia","Zambia",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":894},"Zambia"]
[null,null,null,null,null,null,"Zimbabwe","Zimbabwe","ZWE","Sub-Saharan Africa","Lower middle income","Zimbabwe","Zimbabwe","Zimbabwe","Zimbabwe",{"$f":"IFERROR(INDEX(UNcountrycodes[M49 Code],MATCH(CountryMapping[[#This Row],[UN country]],UNcountrycodes[Country or Area],0)),\"\")","v":716},"Zimbabwe"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,""]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,""]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,""]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,""]
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[null,"UN Country codes"]
[null,"source:","https://unstats.un.org/unsd/methodology/m49/"]
[]
[null,"M49 Code","Country or Area","Global Code","Global Name","Region Code","Region Name","Sub-region Code","Sub-region Name","Intermediate Region Code","Intermediate Region Name","ISO-alpha3 Code","Least Developed Countries (LDC)","Land Locked Developing Countries (LLDC)","Small Island Developing States (SIDS)","Developed / Developing Countries"]
[null,4,"Afghanistan",1,"World",142,"Asia",34,"Southern Asia",null,null,"AFG","x","x",null,"Developing"]
[null,248,"Åland Islands",1,"World",150,"Europe",154,"Northern Europe",null,null,"ALA",null,null,null,"Developed"]
[null,8,"Albania",1,"World",150,"Europe",39,"Southern Europe",null,null,"ALB",null,null,null,"Developed"]
[null,12,"Algeria",1,"World",2,"Africa",15,"Northern Africa",null,null,"DZA",null,null,null,"Developing"]
[null,16,"American Samoa",1,"World",9,"Oceania",61,"Polynesia",null,null,"ASM",null,null,"x","Developing"]
[null,20,"Andorra",1,"World",150,"Europe",39,"Southern Europe",null,null,"AND",null,null,null,"Developed"]
[null,24,"Angola",1,"World",2,"Africa",202,"Sub-Saharan Africa",17,"Middle Africa","AGO","x",null,null,"Developing"]
[null,660,"Anguilla",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","AIA",null,null,"x","Developing"]
[null,10,"Antarctica",1,"World",null,null,null,null,null,null,"ATA"]
[null,28,"Antigua and Barbuda",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","ATG",null,null,"x","Developing"]
[null,32,"Argentina",1,"World",19,"Americas",419,"Latin America and the Caribbean",5,"South America","ARG",null,null,null,"Developing"]
[null,51,"Armenia",1,"World",142,"Asia",145,"Western Asia",null,null,"ARM",null,"x",null,"Developing"]
[null,533,"Aruba",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","ABW",null,null,"x","Developing"]
[null,36,"Australia",1,"World",9,"Oceania",53,"Australia and New Zealand",null,null,"AUS",null,null,null,"Developed"]
[null,40,"Austria",1,"World",150,"Europe",155,"Western Europe",null,null,"AUT",null,null,null,"Developed"]
[null,31,"Azerbaijan",1,"World",142,"Asia",145,"Western Asia",null,null,"AZE",null,"x",null,"Developing"]
[null,44,"Bahamas",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","BHS",null,null,"x","Developing"]
[null,48,"Bahrain",1,"World",142,"Asia",145,"Western Asia",null,null,"BHR",null,null,null,"Developing"]
[null,50,"Bangladesh",1,"World",142,"Asia",34,"Southern Asia",null,null,"BGD","x",null,null,"Developing"]
[null,52,"Barbados",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","BRB",null,null,"x","Developing"]
[null,112,"Belarus",1,"World",150,"Europe",151,"Eastern Europe",null,null,"BLR",null,null,null,"Developed"]
[null,56,"Belgium",1,"World",150,"Europe",155,"Western Europe",null,null,"BEL",null,null,null,"Developed"]
[null,84,"Belize",1,"World",19,"Americas",419,"Latin America and the Caribbean",13,"Central America","BLZ",null,null,"x","Developing"]
[null,204,"Benin",1,"World",2,"Africa",202,"Sub-Saharan Africa",11,"Western Africa","BEN","x",null,null,"Developing"]
[null,60,"Bermuda",1,"World",19,"Americas",21,"Northern America",null,null,"BMU",null,null,null,"Developed"]
[null,64,"Bhutan",1,"World",142,"Asia",34,"Southern Asia",null,null,"BTN","x","x",null,"Developing"]
[null,68,"Bolivia (Plurinational State of)",1,"World",19,"Americas",419,"Latin America and the Caribbean",5,"South America","BOL",null,"x",null,"Developing"]
[null,535,"Bonaire, Sint Eustatius and Saba",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","BES",null,null,"x","Developing"]
[null,70,"Bosnia and Herzegovina",1,"World",150,"Europe",39,"Southern Europe",null,null,"BIH",null,null,null,"Developed"]
[null,72,"Botswana",1,"World",2,"Africa",202,"Sub-Saharan Africa",18,"Southern Africa","BWA",null,"x",null,"Developing"]
[null,74,"Bouvet Island",1,"World",19,"Americas",419,"Latin America and the Caribbean",5,"South America","BVT",null,null,null,"Developing"]
[null,76,"Brazil",1,"World",19,"Americas",419,"Latin America and the Caribbean",5,"South America","BRA",null,null,null,"Developing"]
[null,86,"British Indian Ocean Territory",1,"World",2,"Africa",202,"Sub-Saharan Africa",14,"Eastern Africa","IOT",null,null,null,"Developing"]
[null,92,"British Virgin Islands",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","VGB",null,null,"x","Developing"]
[null,96,"Brunei Darussalam",1,"World",142,"Asia",35,"South-eastern Asia",null,null,"BRN",null,null,null,"Developing"]
[null,100,"Bulgaria",1,"World",150,"Europe",151,"Eastern Europe",null,null,"BGR",null,null,null,"Developed"]
[null,854,"Burkina Faso",1,"World",2,"Africa",202,"Sub-Saharan Africa",11,"Western Africa","BFA","x","x",null,"Developing"]
[null,108,"Burundi",1,"World",2,"Africa",202,"Sub-Saharan Africa",14,"Eastern Africa","BDI","x","x",null,"Developing"]
[null,132,"Cabo Verde",1,"World",2,"Africa",202,"Sub-Saharan Africa",11,"Western Africa","CPV",null,null,"x","Developing"]
[null,116,"Cambodia",1,"World",142,"Asia",35,"South-eastern Asia",null,null,"KHM","x",null,null,"Developing"]
[null,120,"Cameroon",1,"World",2,"Africa",202,"Sub-Saharan Africa",17,"Middle Africa","CMR",null,null,null,"Developing"]
[null,124,"Canada",1,"World",19,"Americas",21,"Northern America",null,null,"CAN",null,null,null,"Developed"]
[null,136,"Cayman Islands",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","CYM",null,null,null,"Developing"]
[null,140,"Central African Republic",1,"World",2,"Africa",202,"Sub-Saharan Africa",17,"Middle Africa","CAF","x","x",null,"Developing"]
[null,148,"Chad",1,"World",2,"Africa",202,"Sub-Saharan Africa",17,"Middle Africa","TCD","x","x",null,"Developing"]
[null,152,"Chile",1,"World",19,"Americas",419,"Latin America and the Caribbean",5,"South America","CHL",null,null,null,"Developing"]
[null,156,"China",1,"World",142,"Asia",30,"Eastern Asia",null,null,"CHN",null,null,null,"Developing"]
[null,344,"China, Hong Kong Special Administrative Region",1,"World",142,"Asia",30,"Eastern Asia",null,null,"HKG",null,null,null,"Developing"]
[null,446,"China, Macao Special Administrative Region",1,"World",142,"Asia",30,"Eastern Asia",null,null,"MAC",null,null,null,"Developing"]
[null,162,"Christmas Island",1,"World",9,"Oceania",53,"Australia and New Zealand",null,null,"CXR",null,null,null,"Developed"]
[null,166,"Cocos (Keeling) Islands",1,"World",9,"Oceania",53,"Australia and New Zealand",null,null,"CCK",null,null,null,"Developed"]
[null,170,"Colombia",1,"World",19,"Americas",419,"Latin America and the Caribbean",5,"South America","COL",null,null,null,"Developing"]
[null,174,"Comoros",1,"World",2,"Africa",202,"Sub-Saharan Africa",14,"Eastern Africa","COM","x",null,"x","Developing"]
[null,178,"Congo",1,"World",2,"Africa",202,"Sub-Saharan Africa",17,"Middle Africa","COG",null,null,null,"Developing"]
[null,184,"Cook Islands",1,"World",9,"Oceania",61,"Polynesia",null,null,"COK",null,null,"x","Developing"]
[null,188,"Costa Rica",1,"World",19,"Americas",419,"Latin America and the Caribbean",13,"Central America","CRI",null,null,null,"Developing"]
[null,384,"Côte d’Ivoire",1,"World",2,"Africa",202,"Sub-Saharan Africa",11,"Western Africa","CIV",null,null,null,"Developing"]
[null,191,"Croatia",1,"World",150,"Europe",39,"Southern Europe",null,null,"HRV",null,null,null,"Developed"]
[null,192,"Cuba",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","CUB",null,null,"x","Developing"]
[null,531,"Curaçao",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","CUW",null,null,"x","Developing"]
[null,196,"Cyprus",1,"World",142,"Asia",145,"Western Asia",null,null,"CYP",null,null,null,"Developed"]
[null,203,"Czechia",1,"World",150,"Europe",151,"Eastern Europe",null,null,"CZE",null,null,null,"Developed"]
[null,408,"Democratic People's Republic of Korea",1,"World",142,"Asia",30,"Eastern Asia",null,null,"PRK",null,null,null,"Developing"]
[null,180,"Democratic Republic of the Congo",1,"World",2,"Africa",202,"Sub-Saharan Africa",17,"Middle Africa","COD","x",null,null,"Developing"]
[null,208,"Denmark",1,"World",150,"Europe",154,"Northern Europe",null,null,"DNK",null,null,null,"Developed"]
[null,262,"Djibouti",1,"World",2,"Africa",202,"Sub-Saharan Africa",14,"Eastern Africa","DJI","x",null,null,"Developing"]
[null,212,"Dominica",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","DMA",null,null,"x","Developing"]
[null,214,"Dominican Republic",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","DOM",null,null,"x","Developing"]
[null,218,"Ecuador",1,"World",19,"Americas",419,"Latin America and the Caribbean",5,"South America","ECU",null,null,null,"Developing"]
[null,818,"Egypt",1,"World",2,"Africa",15,"Northern Africa",null,null,"EGY",null,null,null,"Developing"]
[null,222,"El Salvador",1,"World",19,"Americas",419,"Latin America and the Caribbean",13,"Central America","SLV",null,null,null,"Developing"]
[null,226,"Equatorial Guinea",1,"World",2,"Africa",202,"Sub-Saharan Africa",17,"Middle Africa","GNQ",null,null,null,"Developing"]
[null,232,"Eritrea",1,"World",2,"Africa",202,"Sub-Saharan Africa",14,"Eastern Africa","ERI","x",null,null,"Developing"]
[null,233,"Estonia",1,"World",150,"Europe",154,"Northern Europe",null,null,"EST",null,null,null,"Developed"]
[null,748,"Eswatini",1,"World",2,"Africa",202,"Sub-Saharan Africa",18,"Southern Africa","SWZ",null,"x",null,"Developing"]
[null,231,"Ethiopia",1,"World",2,"Africa",202,"Sub-Saharan Africa",14,"Eastern Africa","ETH","x","x",null,"Developing"]
[null,238,"Falkland Islands (Malvinas)",1,"World",19,"Americas",419,"Latin America and the Caribbean",5,"South America","FLK",null,null,null,"Developing"]
[null,234,"Faroe Islands",1,"World",150,"Europe",154,"Northern Europe",null,null,"FRO",null,null,null,"Developed"]
[null,242,"Fiji",1,"World",9,"Oceania",54,"Melanesia",null,null,"FJI",null,null,"x","Developing"]
[null,246,"Finland",1,"World",150,"Europe",154,"Northern Europe",null,null,"FIN",null,null,null,"Developed"]
[null,250,"France",1,"World",150,"Europe",155,"Western Europe",null,null,"FRA",null,null,null,"Developed"]
[null,254,"French Guiana",1,"World",19,"Americas",419,"Latin America and the Caribbean",5,"South America","GUF",null,null,null,"Developing"]
[null,258,"French Polynesia",1,"World",9,"Oceania",61,"Polynesia",null,null,"PYF",null,null,"x","Developing"]
[null,260,"French Southern Territories",1,"World",2,"Africa",202,"Sub-Saharan Africa",14,"Eastern Africa","ATF",null,null,null,"Developing"]
[null,266,"Gabon",1,"World",2,"Africa",202,"Sub-Saharan Africa",17,"Middle Africa","GAB",null,null,null,"Developing"]
[null,270,"Gambia",1,"World",2,"Africa",202,"Sub-Saharan Africa",11,"Western Africa","GMB","x",null,null,"Developing"]
[null,268,"Georgia",1,"World",142,"Asia",145,"Western Asia",null,null,"GEO",null,null,null,"Developing"]
[null,276,"Germany",1,"World",150,"Europe",155,"Western Europe",null,null,"DEU",null,null,null,"Developed"]
[null,288,"Ghana",1,"World",2,"Africa",202,"Sub-Saharan Africa",11,"Western Africa","GHA",null,null,null,"Developing"]
[null,292,"Gibraltar",1,"World",150,"Europe",39,"Southern Europe",null,null,"GIB",null,null,null,"Developed"]
[null,300,"Greece",1,"World",150,"Europe",39,"Southern Europe",null,null,"GRC",null,null,null,"Developed"]
[null,304,"Greenland",1,"World",19,"Americas",21,"Northern America",null,null,"GRL",null,null,null,"Developed"]
[null,308,"Grenada",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","GRD",null,null,"x","Developing"]
[null,312,"Guadeloupe",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","GLP",null,null,null,"Developing"]
[null,316,"Guam",1,"World",9,"Oceania",57,"Micronesia",null,null,"GUM",null,null,"x","Developing"]
[null,320,"Guatemala",1,"World",19,"Americas",419,"Latin America and the Caribbean",13,"Central America","GTM",null,null,null,"Developing"]
[null,831,"Guernsey",1,"World",150,"Europe",154,"Northern Europe",830,"Channel Islands","GGY",null,null,null,"Developed"]
[null,324,"Guinea",1,"World",2,"Africa",202,"Sub-Saharan Africa",11,"Western Africa","GIN","x",null,null,"Developing"]
[null,624,"Guinea-Bissau",1,"World",2,"Africa",202,"Sub-Saharan Africa",11,"Western Africa","GNB","x",null,"x","Developing"]
[null,328,"Guyana",1,"World",19,"Americas",419,"Latin America and the Caribbean",5,"South America","GUY",null,null,"x","Developing"]
[null,332,"Haiti",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","HTI","x",null,"x","Developing"]
[null,334,"Heard Island and McDonald Islands",1,"World",9,"Oceania",53,"Australia and New Zealand",null,null,"HMD",null,null,null,"Developed"]
[null,336,"Holy See",1,"World",150,"Europe",39,"Southern Europe",null,null,"VAT",null,null,null,"Developed"]
[null,340,"Honduras",1,"World",19,"Americas",419,"Latin America and the Caribbean",13,"Central America","HND",null,null,null,"Developing"]
[null,348,"Hungary",1,"World",150,"Europe",151,"Eastern Europe",null,null,"HUN",null,null,null,"Developed"]
[null,352,"Iceland",1,"World",150,"Europe",154,"Northern Europe",null,null,"ISL",null,null,null,"Developed"]
[null,356,"India",1,"World",142,"Asia",34,"Southern Asia",null,null,"IND",null,null,null,"Developing"]
[null,360,"Indonesia",1,"World",142,"Asia",35,"South-eastern Asia",null,null,"IDN",null,null,null,"Developing"]
[null,364,"Iran (Islamic Republic of)",1,"World",142,"Asia",34,"Southern Asia",null,null,"IRN",null,null,null,"Developing"]
[null,368,"Iraq",1,"World",142,"Asia",145,"Western Asia",null,null,"IRQ",null,null,null,"Developing"]
[null,372,"Ireland",1,"World",150,"Europe",154,"Northern Europe",null,null,"IRL",null,null,null,"Developed"]
[null,833,"Isle of Man",1,"World",150,"Europe",154,"Northern Europe",null,null,"IMN",null,null,null,"Developed"]
[null,376,"Israel",1,"World",142,"Asia",145,"Western Asia",null,null,"ISR",null,null,null,"Developed"]
[null,380,"Italy",1,"World",150,"Europe",39,"Southern Europe",null,null,"ITA",null,null,null,"Developed"]
[null,388,"Jamaica",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","JAM",null,null,"x","Developing"]
[null,392,"Japan",1,"World",142,"Asia",30,"Eastern Asia",null,null,"JPN",null,null,null,"Developed"]
[null,832,"Jersey",1,"World",150,"Europe",154,"Northern Europe",830,"Channel Islands","JEY",null,null,null,"Developed"]
[null,400,"Jordan",1,"World",142,"Asia",145,"Western Asia",null,null,"JOR",null,null,null,"Developing"]
[null,398,"Kazakhstan",1,"World",142,"Asia",143,"Central Asia",null,null,"KAZ",null,"x",null,"Developing"]
[null,404,"Kenya",1,"World",2,"Africa",202,"Sub-Saharan Africa",14,"Eastern Africa","KEN",null,null,null,"Developing"]
[null,296,"Kiribati",1,"World",9,"Oceania",57,"Micronesia",null,null,"KIR","x",null,"x","Developing"]
[null,414,"Kuwait",1,"World",142,"Asia",145,"Western Asia",null,null,"KWT",null,null,null,"Developing"]
[null,417,"Kyrgyzstan",1,"World",142,"Asia",143,"Central Asia",null,null,"KGZ",null,"x",null,"Developing"]
[null,418,"Lao People's Democratic Republic",1,"World",142,"Asia",35,"South-eastern Asia",null,null,"LAO","x","x",null,"Developing"]
[null,428,"Latvia",1,"World",150,"Europe",154,"Northern Europe",null,null,"LVA",null,null,null,"Developed"]
[null,422,"Lebanon",1,"World",142,"Asia",145,"Western Asia",null,null,"LBN",null,null,null,"Developing"]
[null,426,"Lesotho",1,"World",2,"Africa",202,"Sub-Saharan Africa",18,"Southern Africa","LSO","x","x",null,"Developing"]
[null,430,"Liberia",1,"World",2,"Africa",202,"Sub-Saharan Africa",11,"Western Africa","LBR","x",null,null,"Developing"]
[null,434,"Libya",1,"World",2,"Africa",15,"Northern Africa",null,null,"LBY",null,null,null,"Developing"]
[null,438,"Liechtenstein",1,"World",150,"Europe",155,"Western Europe",null,null,"LIE",null,null,null,"Developed"]
[null,440,"Lithuania",1,"World",150,"Europe",154,"Northern Europe",null,null,"LTU",null,null,null,"Developed"]
[null,442,"Luxembourg",1,"World",150,"Europe",155,"Western Europe",null,null,"LUX",null,null,null,"Developed"]
[null,450,"Madagascar",1,"World",2,"Africa",202,"Sub-Saharan Africa",14,"Eastern Africa","MDG","x",null,null,"Developing"]
[null,454,"Malawi",1,"World",2,"Africa",202,"Sub-Saharan Africa",14,"Eastern Africa","MWI","x","x",null,"Developing"]
[null,458,"Malaysia",1,"World",142,"Asia",35,"South-eastern Asia",null,null,"MYS",null,null,null,"Developing"]
[null,462,"Maldives",1,"World",142,"Asia",34,"Southern Asia",null,null,"MDV",null,null,"x","Developing"]
[null,466,"Mali",1,"World",2,"Africa",202,"Sub-Saharan Africa",11,"Western Africa","MLI","x","x",null,"Developing"]
[null,470,"Malta",1,"World",150,"Europe",39,"Southern Europe",null,null,"MLT",null,null,null,"Developed"]
[null,584,"Marshall Islands",1,"World",9,"Oceania",57,"Micronesia",null,null,"MHL",null,null,"x","Developing"]
[null,474,"Martinique",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","MTQ",null,null,null,"Developing"]
[null,478,"Mauritania",1,"World",2,"Africa",202,"Sub-Saharan Africa",11,"Western Africa","MRT","x",null,null,"Developing"]
[null,480,"Mauritius",1,"World",2,"Africa",202,"Sub-Saharan Africa",14,"Eastern Africa","MUS",null,null,"x","Developing"]
[null,175,"Mayotte",1,"World",2,"Africa",202,"Sub-Saharan Africa",14,"Eastern Africa","MYT",null,null,null,"Developing"]
[null,484,"Mexico",1,"World",19,"Americas",419,"Latin America and the Caribbean",13,"Central America","MEX",null,null,null,"Developing"]
[null,583,"Micronesia (Federated States of)",1,"World",9,"Oceania",57,"Micronesia",null,null,"FSM",null,null,"x","Developing"]
[null,492,"Monaco",1,"World",150,"Europe",155,"Western Europe",null,null,"MCO",null,null,null,"Developed"]
[null,496,"Mongolia",1,"World",142,"Asia",30,"Eastern Asia",null,null,"MNG",null,"x",null,"Developing"]
[null,499,"Montenegro",1,"World",150,"Europe",39,"Southern Europe",null,null,"MNE",null,null,null,"Developed"]
[null,500,"Montserrat",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","MSR",null,null,"x","Developing"]
[null,504,"Morocco",1,"World",2,"Africa",15,"Northern Africa",null,null,"MAR",null,null,null,"Developing"]
[null,508,"Mozambique",1,"World",2,"Africa",202,"Sub-Saharan Africa",14,"Eastern Africa","MOZ","x",null,null,"Developing"]
[null,104,"Myanmar",1,"World",142,"Asia",35,"South-eastern Asia",null,null,"MMR","x",null,null,"Developing"]
[null,516,"Namibia",1,"World",2,"Africa",202,"Sub-Saharan Africa",18,"Southern Africa","NAM",null,null,null,"Developing"]
[null,520,"Nauru",1,"World",9,"Oceania",57,"Micronesia",null,null,"NRU",null,null,"x","Developing"]
[null,524,"Nepal",1,"World",142,"Asia",34,"Southern Asia",null,null,"NPL","x","x",null,"Developing"]
[null,528,"Netherlands",1,"World",150,"Europe",155,"Western Europe",null,null,"NLD",null,null,null,"Developed"]
[null,540,"New Caledonia",1,"World",9,"Oceania",54,"Melanesia",null,null,"NCL",null,null,"x","Developing"]
[null,554,"New Zealand",1,"World",9,"Oceania",53,"Australia and New Zealand",null,null,"NZL",null,null,null,"Developed"]
[null,558,"Nicaragua",1,"World",19,"Americas",419,"Latin America and the Caribbean",13,"Central America","NIC",null,null,null,"Developing"]
[null,562,"Niger",1,"World",2,"Africa",202,"Sub-Saharan Africa",11,"Western Africa","NER","x","x",null,"Developing"]
[null,566,"Nigeria",1,"World",2,"Africa",202,"Sub-Saharan Africa",11,"Western Africa","NGA",null,null,null,"Developing"]
[null,570,"Niue",1,"World",9,"Oceania",61,"Polynesia",null,null,"NIU",null,null,"x","Developing"]
[null,574,"Norfolk Island",1,"World",9,"Oceania",53,"Australia and New Zealand",null,null,"NFK",null,null,null,"Developed"]
[null,807,"North Macedonia",1,"World",150,"Europe",39,"Southern Europe",null,null,"MKD",null,"x",null,"Developed"]
[null,580,"Northern Mariana Islands",1,"World",9,"Oceania",57,"Micronesia",null,null,"MNP",null,null,"x","Developing"]
[null,578,"Norway",1,"World",150,"Europe",154,"Northern Europe",null,null,"NOR",null,null,null,"Developed"]
[null,512,"Oman",1,"World",142,"Asia",145,"Western Asia",null,null,"OMN",null,null,null,"Developing"]
[null,586,"Pakistan",1,"World",142,"Asia",34,"Southern Asia",null,null,"PAK",null,null,null,"Developing"]
[null,587,"Pakistan",1,"World",142,"Asia",34,"Southern Asia",null,null,"PAK",null,null,null,"Developing"]
[null,588,"Pakistan",1,"World",142,"Asia",34,"Southern Asia",null,null,"PAK",null,null,null,"Developing"]
[null,589,"Pakistan",1,"World",142,"Asia",34,"Southern Asia",null,null,"PAK",null,null,null,"Developing"]
[null,590,"Pakistan",1,"World",142,"Asia",34,"Southern Asia",null,null,"PAK",null,null,null,"Developing"]
[null,591,"Pakistan",1,"World",142,"Asia",34,"Southern Asia",null,null,"PAK",null,null,null,"Developing"]
[null,592,"Pakistan",1,"World",142,"Asia",34,"Southern Asia",null,null,"PAK",null,null,null,"Developing"]
[null,593,"Pakistan",1,"World",142,"Asia",34,"Southern Asia",null,null,"PAK",null,null,null,"Developing"]
[null,594,"Pakistan",1,"World",142,"Asia",34,"Southern Asia",null,null,"PAK",null,null,null,"Developing"]
[null,595,"Pakistan",1,"World",142,"Asia",34,"Southern Asia",null,null,"PAK",null,null,null,"Developing"]
[null,596,"Pakistan",1,"World",142,"Asia",34,"Southern Asia",null,null,"PAK",null,null,null,"Developing"]
[null,585,"Palau",1,"World",9,"Oceania",57,"Micronesia",null,null,"PLW",null,null,"x","Developing"]
[null,591,"Panama",1,"World",19,"Americas",419,"Latin America and the Caribbean",13,"Central America","PAN",null,null,null,"Developing"]
[null,598,"Papua New Guinea",1,"World",9,"Oceania",54,"Melanesia",null,null,"PNG",null,null,"x","Developing"]
[null,600,"Paraguay",1,"World",19,"Americas",419,"Latin America and the Caribbean",5,"South America","PRY",null,"x",null,"Developing"]
[null,604,"Peru",1,"World",19,"Americas",419,"Latin America and the Caribbean",5,"South America","PER",null,null,null,"Developing"]
[null,608,"Philippines",1,"World",142,"Asia",35,"South-eastern Asia",null,null,"PHL",null,null,null,"Developing"]
[null,612,"Pitcairn",1,"World",9,"Oceania",61,"Polynesia",null,null,"PCN",null,null,null,"Developing"]
[null,616,"Poland",1,"World",150,"Europe",151,"Eastern Europe",null,null,"POL",null,null,null,"Developed"]
[null,620,"Portugal",1,"World",150,"Europe",39,"Southern Europe",null,null,"PRT",null,null,null,"Developed"]
[null,630,"Puerto Rico",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","PRI",null,null,"x","Developing"]
[null,634,"Qatar",1,"World",142,"Asia",145,"Western Asia",null,null,"QAT",null,null,null,"Developing"]
[null,410,"Republic of Korea",1,"World",142,"Asia",30,"Eastern Asia",null,null,"KOR",null,null,null,"Developing"]
[null,498,"Republic of Moldova",1,"World",150,"Europe",151,"Eastern Europe",null,null,"MDA",null,"x",null,"Developed"]
[null,638,"Réunion",1,"World",2,"Africa",202,"Sub-Saharan Africa",14,"Eastern Africa","REU",null,null,null,"Developing"]
[null,642,"Romania",1,"World",150,"Europe",151,"Eastern Europe",null,null,"ROU",null,null,null,"Developed"]
[null,643,"Russian Federation",1,"World",150,"Europe",151,"Eastern Europe",null,null,"RUS",null,null,null,"Developed"]
[null,646,"Rwanda",1,"World",2,"Africa",202,"Sub-Saharan Africa",14,"Eastern Africa","RWA","x","x",null,"Developing"]
[null,652,"Saint Barthélemy",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","BLM",null,null,null,"Developing"]
[null,654,"Saint Helena",1,"World",2,"Africa",202,"Sub-Saharan Africa",11,"Western Africa","SHN",null,null,null,"Developing"]
[null,659,"Saint Kitts and Nevis",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","KNA",null,null,"x","Developing"]
[null,662,"Saint Lucia",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","LCA",null,null,"x","Developing"]
[null,663,"Saint Martin (French Part)",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","MAF",null,null,null,"Developing"]
[null,666,"Saint Pierre and Miquelon",1,"World",19,"Americas",21,"Northern America",null,null,"SPM",null,null,null,"Developed"]
[null,670,"Saint Vincent and the Grenadines",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","VCT",null,null,"x","Developing"]
[null,882,"Samoa",1,"World",9,"Oceania",61,"Polynesia",null,null,"WSM",null,null,"x","Developing"]
[null,674,"San Marino",1,"World",150,"Europe",39,"Southern Europe",null,null,"SMR",null,null,null,"Developed"]
[null,678,"Sao Tome and Principe",1,"World",2,"Africa",202,"Sub-Saharan Africa",17,"Middle Africa","STP","x",null,"x","Developing"]
[null,680,"Sark",1,"World",150,"Europe",154,"Northern Europe",830,"Channel Islands",null,null,null,null,"Developed"]
[null,682,"Saudi Arabia",1,"World",142,"Asia",145,"Western Asia",null,null,"SAU",null,null,null,"Developing"]
[null,686,"Senegal",1,"World",2,"Africa",202,"Sub-Saharan Africa",11,"Western Africa","SEN","x",null,null,"Developing"]
[null,688,"Serbia",1,"World",150,"Europe",39,"Southern Europe",null,null,"SRB",null,null,null,"Developed"]
[null,690,"Seychelles",1,"World",2,"Africa",202,"Sub-Saharan Africa",14,"Eastern Africa","SYC",null,null,"x","Developing"]
[null,694,"Sierra Leone",1,"World",2,"Africa",202,"Sub-Saharan Africa",11,"Western Africa","SLE","x",null,null,"Developing"]
[null,702,"Singapore",1,"World",142,"Asia",35,"South-eastern Asia",null,null,"SGP",null,null,"x","Developing"]
[null,534,"Sint Maarten (Dutch part)",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","SXM",null,null,"x","Developing"]
[null,703,"Slovakia",1,"World",150,"Europe",151,"Eastern Europe",null,null,"SVK",null,null,null,"Developed"]
[null,705,"Slovenia",1,"World",150,"Europe",39,"Southern Europe",null,null,"SVN",null,null,null,"Developed"]
[null,90,"Solomon Islands",1,"World",9,"Oceania",54,"Melanesia",null,null,"SLB","x",null,"x","Developing"]
[null,706,"Somalia",1,"World",2,"Africa",202,"Sub-Saharan Africa",14,"Eastern Africa","SOM","x",null,null,"Developing"]
[null,710,"South Africa",1,"World",2,"Africa",202,"Sub-Saharan Africa",18,"Southern Africa","ZAF",null,null,null,"Developing"]
[null,239,"South Georgia and the South Sandwich Islands",1,"World",19,"Americas",419,"Latin America and the Caribbean",5,"South America","SGS",null,null,null,"Developing"]
[null,728,"South Sudan",1,"World",2,"Africa",202,"Sub-Saharan Africa",14,"Eastern Africa","SSD","x","x",null,"Developing"]
[null,724,"Spain",1,"World",150,"Europe",39,"Southern Europe",null,null,"ESP",null,null,null,"Developed"]
[null,144,"Sri Lanka",1,"World",142,"Asia",34,"Southern Asia",null,null,"LKA",null,null,null,"Developing"]
[null,275,"State of Palestine",1,"World",142,"Asia",145,"Western Asia",null,null,"PSE",null,null,null,"Developing"]
[null,729,"Sudan",1,"World",2,"Africa",15,"Northern Africa",null,null,"SDN","x",null,null,"Developing"]
[null,740,"Suriname",1,"World",19,"Americas",419,"Latin America and the Caribbean",5,"South America","SUR",null,null,"x","Developing"]
[null,744,"Svalbard and Jan Mayen Islands",1,"World",150,"Europe",154,"Northern Europe",null,null,"SJM",null,null,null,"Developed"]
[null,752,"Sweden",1,"World",150,"Europe",154,"Northern Europe",null,null,"SWE",null,null,null,"Developed"]
[null,756,"Switzerland",1,"World",150,"Europe",155,"Western Europe",null,null,"CHE",null,null,null,"Developed"]
[null,760,"Syrian Arab Republic",1,"World",142,"Asia",145,"Western Asia",null,null,"SYR",null,null,null,"Developing"]
[null,158,"Taiwan",1,"World",142,"Asia",30,"Eastern Asia",null,null,null,null,null,null,"Developed"]
[null,762,"Tajikistan",1,"World",142,"Asia",143,"Central Asia",null,null,"TJK",null,"x",null,"Developing"]
[null,764,"Thailand",1,"World",142,"Asia",35,"South-eastern Asia",null,null,"THA",null,null,null,"Developing"]
[null,626,"Timor-Leste",1,"World",142,"Asia",35,"South-eastern Asia",null,null,"TLS","x",null,"x","Developing"]
[null,768,"Togo",1,"World",2,"Africa",202,"Sub-Saharan Africa",11,"Western Africa","TGO","x",null,null,"Developing"]
[null,772,"Tokelau",1,"World",9,"Oceania",61,"Polynesia",null,null,"TKL",null,null,null,"Developing"]
[null,776,"Tonga",1,"World",9,"Oceania",61,"Polynesia",null,null,"TON",null,null,"x","Developing"]
[null,780,"Trinidad and Tobago",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","TTO",null,null,"x","Developing"]
[null,788,"Tunisia",1,"World",2,"Africa",15,"Northern Africa",null,null,"TUN",null,null,null,"Developing"]
[null,792,"Turkey",1,"World",142,"Asia",145,"Western Asia",null,null,"TUR",null,null,null,"Developing"]
[null,795,"Turkmenistan",1,"World",142,"Asia",143,"Central Asia",null,null,"TKM",null,"x",null,"Developing"]
[null,796,"Turks and Caicos Islands",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","TCA",null,null,null,"Developing"]
[null,798,"Tuvalu",1,"World",9,"Oceania",61,"Polynesia",null,null,"TUV","x",null,"x","Developing"]
[null,800,"Uganda",1,"World",2,"Africa",202,"Sub-Saharan Africa",14,"Eastern Africa","UGA","x","x",null,"Developing"]
[null,804,"Ukraine",1,"World",150,"Europe",151,"Eastern Europe",null,null,"UKR",null,null,null,"Developed"]
[null,784,"United Arab Emirates",1,"World",142,"Asia",145,"Western Asia",null,null,"ARE",null,null,null,"Developing"]
[null,826,"United Kingdom of Great Britain and Northern Ireland",1,"World",150,"Europe",154,"Northern Europe",null,null,"GBR",null,null,null,"Developed"]
[null,834,"United Republic of Tanzania",1,"World",2,"Africa",202,"Sub-Saharan Africa",14,"Eastern Africa","TZA","x",null,null,"Developing"]
[null,581,"United States Minor Outlying Islands",1,"World",9,"Oceania",57,"Micronesia",null,null,"UMI",null,null,null,"Developing"]
[null,840,"United States of America",1,"World",19,"Americas",21,"Northern America",null,null,"USA",null,null,null,"Developed"]
[null,850,"United States Virgin Islands",1,"World",19,"Americas",419,"Latin America and the Caribbean",29,"Caribbean","VIR",null,null,"x","Developing"]
[null,858,"Uruguay",1,"World",19,"Americas",419,"Latin America and the Caribbean",5,"South America","URY",null,null,null,"Developing"]
[null,860,"Uzbekistan",1,"World",142,"Asia",143,"Central Asia",null,null,"UZB",null,"x",null,"Developing"]
[null,548,"Vanuatu",1,"World",9,"Oceania",54,"Melanesia",null,null,"VUT","x",null,"x","Developing"]
[null,862,"Venezuela (Bolivarian Republic of)",1,"World",19,"Americas",419,"Latin America and the Caribbean",5,"South America","VEN",null,null,null,"Developing"]
[null,704,"Viet Nam",1,"World",142,"Asia",35,"South-eastern Asia",null,null,"VNM",null,null,null,"Developing"]
[null,876,"Wallis and Futuna Islands",1,"World",9,"Oceania",61,"Polynesia",null,null,"WLF",null,null,null,"Developing"]
[null,732,"Western Sahara",1,"World",2,"Africa",15,"Northern Africa",null,null,"ESH",null,null,null,"Developing"]
[null,887,"Yemen",1,"World",142,"Asia",145,"Western Asia",null,null,"YEM","x",null,null,"Developing"]
[null,894,"Zambia",1,"World",2,"Africa",202,"Sub-Saharan Africa",14,"Eastern Africa","ZMB","x","x",null,"Developing"]
[null,716,"Zimbabwe",1,"World",2,"Africa",202,"Sub-Saharan Africa",14,"Eastern Africa","ZWE",null,"x",null,"Developing"]

{"sheet":"Food Loss >>","index":14,"n_rows":8,"n_cols":2,"rows_kept":8,"cut":false,"hidden":true,"merged":[[4,1,4,15],[5,1,5,15],[6,1,6,15],[7,1,7,15]]}
[]
[null,"Food Loss"]
[null,"This section includes tables, databases, and other data used to estimate food loss rates."]
[]
[null,"1.  Sheet \"Taxonomy\" contains the classification tables that are used to edit/integrate information to make it consistent with labels and terminology required for this project."]
[null,"2.  Sheet \"FAO Food Loss data\" contains the FAO Food Loss database, integrated with additional information from other sources."]
[null,"3. Sheet \"Nat_Avg\" contains the pivot tables connected to the main FAO Food Loss database, and are used to calculate the average food loss rate observed in the database for different combinations of country, commodity, and supply chain stages."]
[null,"4. Sheet \"Custom Loss Rates\" contains empty tables that can be filled with updated Food Loss rates when they become available. Any value saved in that table will supersede any value from tool's internal database."]

{"sheet":"FL-output","index":15,"n_rows":106,"n_cols":25,"rows_kept":106,"cut":false,"hidden":true,"merged":[]}
[]
[null,"Food loss rates - final output"]
[null,"Provides default food loss rates for all country and stages, and selects the relevant value based on user input (if any)"]
[]
[]
[null,"Commodity",{"$f":"commodity","v":0}]
[null,"Commodity group",{"$f":"commodityGroup","v":""}]
[]
[]
[null,"Country mapping by stage"]
[null,null,"Origin country","Destination country"]
[null,"Production (post-harvest)",{"$f":"INDEX('Country-selector'!$C$21:$C$29,MATCH('FL-output'!$B12,'Country-selector'!$B$21:$B$29,0))","v":{"$error":"#N/A"}}]
[null,"Transport 1",{"$f":"INDEX('Country-selector'!$C$21:$C$29,MATCH('FL-output'!$B13,'Country-selector'!$B$21:$B$29,0))","v":0},{"$f":"INDEX('Country-selector'!$D$21:$D$29,MATCH('FL-output'!$B13,'Country-selector'!$B$21:$B$29,0))","v":{"$error":"#N/A"}}]
[null,"Storage 1 (pre-processing)",{"$f":"INDEX('Country-selector'!$C$21:$C$29,MATCH('FL-output'!$B14,'Country-selector'!$B$21:$B$29,0))","v":{"$error":"#N/A"}}]
[null,"Transport 2",{"$f":"INDEX('Country-selector'!$C$21:$C$29,MATCH('FL-output'!$B15,'Country-selector'!$B$21:$B$29,0))","v":0},{"$f":"INDEX('Country-selector'!$D$21:$D$29,MATCH('FL-output'!$B15,'Country-selector'!$B$21:$B$29,0))","v":{"$error":"#N/A"}}]
[null,"Processing",{"$f":"INDEX('Country-selector'!$C$21:$C$29,MATCH('FL-output'!$B16,'Country-selector'!$B$21:$B$29,0))","v":{"$error":"#N/A"}}]
[null,"Transport 3",{"$f":"INDEX('Country-selector'!$C$21:$C$29,MATCH('FL-output'!$B17,'Country-selector'!$B$21:$B$29,0))","v":0},{"$f":"INDEX('Country-selector'!$D$21:$D$29,MATCH('FL-output'!$B17,'Country-selector'!$B$21:$B$29,0))","v":{"$error":"#N/A"}}]
[null,"Storage 2 (pre-retail)",{"$f":"INDEX('Country-selector'!$C$21:$C$29,MATCH('FL-output'!$B18,'Country-selector'!$B$21:$B$29,0))","v":{"$error":"#N/A"}}]
[null,"Transport 4",{"$f":"INDEX('Country-selector'!$C$21:$C$29,MATCH('FL-output'!$B19,'Country-selector'!$B$21:$B$29,0))","v":0},{"$f":"INDEX('Country-selector'!$D$21:$D$29,MATCH('FL-output'!$B19,'Country-selector'!$B$21:$B$29,0))","v":{"$error":"#N/A"}}]
[null,"Retail",{"$f":"INDEX('Country-selector'!$C$21:$C$29,MATCH('FL-output'!$B20,'Country-selector'!$B$21:$B$29,0))","v":{"$error":"#N/A"}}]
[]
[]
[null,"Calculating default food loss rates"]
[]
[null,"Default food loss rates - Value chain stages","FAO stage","Origin country","Origin region","Origin country - \nDefault rate (%)","Data source",null,{"$f":"\"IFC custom food loss rate (Country/\"&commodity&\")\"","v":"IFC custom food loss rate (Country/)"},{"$f":"\"FAO Food Loss database (Country/\" & commodity &\")\"","v":"FAO Food Loss database (Country/)"},{"$f":"\"FAO Food Loss database (Country/\"&commodityGroup&\")\"","v":"FAO Food Loss database (Country/)"},{"$f":"\"FAO Food Loss database (UN SubRegion/\"&commodity&\")\"","v":"FAO Food Loss database (UN SubRegion/)"},{"$f":"\"FAO Food Loss database (UN SubRegion/\"&impliedFAOcommgroup&\")\"","v":{"$error":"#N/A"}},{"$f":"\"FAO estimate (FAO Region/\" & impliedFAOcommgroup & \")\"","v":{"$error":"#N/A"}},"User input - AFTER THE PROJECT",null,null,null,null,null,null,null,null,"Average national rate (%)","Data source"]
[null,"Production (post-harvest)","Production",{"$f":"INDEX('Country-selector'!$C$21:$C$29,MATCH('FL-output'!$B26,'Country-selector'!$B$21:$B$29,0))","v":{"$error":"#N/A"}},{"$f":"IF(D26=\"\",\"\",INDEX(CountryMapping[Region],MATCH('FL-output'!D26,CountryMapping[Tool country list],0)))","v":{"$error":"#N/A"}},{"$f":"IF(E26=\"\",\"\",\nIF(I26<>\"\",I26,\nIF(J26<>\"\",J26,\nMIN(K26:N26)\n)))","v":{"$error":"#N/A"}},{"$f":"IF(O26<>\"\",O$25,\nIF(I26<>\"\",I$25,\nIF(J26<>\"\",J$25,\nINDEX($K$25:$N$25,MATCH(MIN(K26:N26),K26:N26,0)))))","v":{"$error":"#N/A"}},null,{"$f":"IFERROR(\nIFERROR(\nINDEX(LossRateUserDatabase[Loss rate], MATCH($D26&commodity&$C26, LossRateUserDatabase[Concatenate\n(do not edit)], 0)),\nINDEX(LossRateUserDatabase[Loss rate], MATCH($E26&$C26, LossRateUserDatabase[Concatenate\n(do not edit)], 0))),\n\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$B$11,\"Country\",$D26,\"IFC Commodity\",commodity,\"IFC Supply Chain Stage\",$C26))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$G$11,\"Country\",$D26,\"IFC Category\",commodityGroup,\"IFC Supply Chain Stage\",$C26))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$L$11,\"WB region\",$E26,\"IFC Commodity\",commodity,\"IFC Supply Chain Stage\",$C26))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$Q$11,\"WB region\",$E26,\"IFC Category\",commodityGroup,\"IFC Supply Chain Stage\",$C26))/100,\"\")","v":""},{"$f":"IFERROR(GETPIVOTDATA(\"Waste (%)\",'FL-Avg-LR'!$V$11,\"FAO Wider Region\",impliedFAOregionProduction,\"FAO Commodity group\",impliedFAOcommgroup,\"IFC Supply Chain stage\",$C26),\"\")","v":""},{"$f":"IF(INDEX(Interface!$J$21:$J$29,MATCH(B26,Interface!$B$21:$B$29,0))=TRUE,\nINDEX(Interface!$F$21:$F$29,MATCH(B26,Interface!$B$21:$B$29,0)),\n\"\")","v":""}]
[null,"Storage 1 (pre-processing)","Storage",{"$f":"INDEX('Country-selector'!$C$21:$C$29,MATCH('FL-output'!$B27,'Country-selector'!$B$21:$B$29,0))","v":{"$error":"#N/A"}},{"$f":"IF(D27=\"\",\"\",INDEX(CountryMapping[Region],MATCH('FL-output'!D27,CountryMapping[Tool country list],0)))","v":{"$error":"#N/A"}},{"$f":"IF(E27=\"\",\"\",\nIF(I27<>\"\",I27,\nIF(J27<>\"\",J27,\nMIN(K27:N27)\n)))","v":{"$error":"#N/A"}},{"$f":"IF(O27<>\"\",O$25,\nIF(I27<>\"\",I$25,\nIF(J27<>\"\",J$25,\nINDEX($K$25:$N$25,MATCH(MIN(K27:N27),K27:N27,0)))))","v":{"$error":"#N/A"}},null,{"$f":"IFERROR(\nIFERROR(\nINDEX(LossRateUserDatabase[Loss rate], MATCH($D27&commodity&$C27, LossRateUserDatabase[Concatenate\n(do not edit)], 0)),\nINDEX(LossRateUserDatabase[Loss rate], MATCH($E27&$C27, LossRateUserDatabase[Concatenate\n(do not edit)], 0))),\n\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$B$11,\"Country\",$D27,\"IFC Commodity\",commodity,\"IFC Supply Chain Stage\",$C27))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$G$11,\"Country\",$D27,\"IFC Category\",commodityGroup,\"IFC Supply Chain Stage\",$C27))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$L$11,\"WB region\",$E27,\"IFC Commodity\",commodity,\"IFC Supply Chain Stage\",$C27))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$Q$11,\"WB region\",$E27,\"IFC Category\",commodityGroup,\"IFC Supply Chain Stage\",$C27))/100,\"\")","v":""},{"$f":"IFERROR(GETPIVOTDATA(\"Waste (%)\",'FL-Avg-LR'!$V$11,\"FAO Wider Region\",impliedFAOregionStorage1,\"FAO Commodity group\",impliedFAOcommgroup,\"IFC Supply Chain stage\",$C27),\"\")","v":""},{"$f":"IF(INDEX(Interface!$J$21:$J$29,MATCH(B27,Interface!$B$21:$B$29,0))=TRUE,\nINDEX(Interface!$F$21:$F$29,MATCH(B27,Interface!$B$21:$B$29,0)),\n\"\")","v":""}]
[null,"Processing","Processing",{"$f":"INDEX('Country-selector'!$C$21:$C$29,MATCH('FL-output'!$B28,'Country-selector'!$B$21:$B$29,0))","v":{"$error":"#N/A"}},{"$f":"IF(D28=\"\",\"\",INDEX(CountryMapping[Region],MATCH('FL-output'!D28,CountryMapping[Tool country list],0)))","v":{"$error":"#N/A"}},{"$f":"IF(E28=\"\",\"\",\nIF(I28<>\"\",I28,\nIF(J28<>\"\",J28,\nMIN(K28:N28)\n)))","v":{"$error":"#N/A"}},{"$f":"IF(O28<>\"\",O$25,\nIF(I28<>\"\",I$25,\nIF(J28<>\"\",J$25,\nINDEX($K$25:$N$25,MATCH(MIN(K28:N28),K28:N28,0)))))","v":{"$error":"#N/A"}},null,{"$f":"IFERROR(\nIFERROR(\nINDEX(LossRateUserDatabase[Loss rate], MATCH($D28&commodity&$C28, LossRateUserDatabase[Concatenate\n(do not edit)], 0)),\nINDEX(LossRateUserDatabase[Loss rate], MATCH($E28&$C28, LossRateUserDatabase[Concatenate\n(do not edit)], 0))),\n\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$B$11,\"Country\",$D28,\"IFC Commodity\",commodity,\"IFC Supply Chain Stage\",$C28))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$G$11,\"Country\",$D28,\"IFC Category\",commodityGroup,\"IFC Supply Chain Stage\",$C28))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$L$11,\"WB region\",$E28,\"IFC Commodity\",commodity,\"IFC Supply Chain Stage\",$C28))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$Q$11,\"WB region\",$E28,\"IFC Category\",commodityGroup,\"IFC Supply Chain Stage\",$C28))/100,\"\")","v":""},{"$f":"IFERROR(GETPIVOTDATA(\"Waste (%)\",'FL-Avg-LR'!$V$11,\"FAO Wider Region\",impliedFAOregionProcessing,\"FAO Commodity group\",impliedFAOcommgroup,\"IFC Supply Chain stage\",$C28),\"\")","v":""},{"$f":"IF(INDEX(Interface!$J$21:$J$29,MATCH(B28,Interface!$B$21:$B$29,0))=TRUE,\nINDEX(Interface!$F$21:$F$29,MATCH(B28,Interface!$B$21:$B$29,0)),\n\"\")","v":""}]
[null,"Storage 2 (pre-retail)","Storage",{"$f":"INDEX('Country-selector'!$C$21:$C$29,MATCH('FL-output'!$B29,'Country-selector'!$B$21:$B$29,0))","v":{"$error":"#N/A"}},{"$f":"IF(D29=\"\",\"\",INDEX(CountryMapping[Region],MATCH('FL-output'!D29,CountryMapping[Tool country list],0)))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"IF(O29<>\"\",O$25,\nIF(I29<>\"\",I$25,\nIF(J29<>\"\",J$25,\nINDEX($K$25:$N$25,MATCH(MIN(K29:N29),K29:N29,0)))))","v":{"$error":"#N/A"}},null,{"$f":"IFERROR(\nIFERROR(\nINDEX(LossRateUserDatabase[Loss rate], MATCH($D29&commodity&$C29, LossRateUserDatabase[Concatenate\n(do not edit)], 0)),\nINDEX(LossRateUserDatabase[Loss rate], MATCH($E29&$C29, LossRateUserDatabase[Concatenate\n(do not edit)], 0))),\n\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$B$11,\"Country\",$D29,\"IFC Commodity\",commodity,\"IFC Supply Chain Stage\",$C29))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$G$11,\"Country\",$D29,\"IFC Category\",commodityGroup,\"IFC Supply Chain Stage\",$C29))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$L$11,\"WB region\",$E29,\"IFC Commodity\",commodity,\"IFC Supply Chain Stage\",$C29))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$Q$11,\"WB region\",$E29,\"IFC Category\",commodityGroup,\"IFC Supply Chain Stage\",$C29))/100,\"\")","v":""},{"$f":"IFERROR(GETPIVOTDATA(\"Waste (%)\",'FL-Avg-LR'!$V$11,\"FAO Wider Region\",impliedFAOregionStorage2,\"FAO Commodity group\",impliedFAOcommgroup,\"IFC Supply Chain stage\",$C29),\"\")","v":""},{"$f":"IF(INDEX(Interface!$J$21:$J$29,MATCH(B29,Interface!$B$21:$B$29,0))=TRUE,\nINDEX(Interface!$F$21:$F$29,MATCH(B29,Interface!$B$21:$B$29,0)),\n\"\")","v":""}]
[null,"Retail","Retail",{"$f":"INDEX('Country-selector'!$C$21:$C$29,MATCH('FL-output'!$B30,'Country-selector'!$B$21:$B$29,0))","v":{"$error":"#N/A"}},{"$f":"IF(D30=\"\",\"\",INDEX(CountryMapping[Region],MATCH('FL-output'!D30,CountryMapping[Tool country list],0)))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"IF(O30<>\"\",O$25,\nIF(I30<>\"\",I$25,\nIF(J30<>\"\",J$25,\nINDEX($K$25:$N$25,MATCH(MIN(K30:N30),K30:N30,0)))))","v":{"$error":"#N/A"}},null,{"$f":"IFERROR(\nIFERROR(\nINDEX(LossRateUserDatabase[Loss rate], MATCH($D30&commodity&$C30, LossRateUserDatabase[Concatenate\n(do not edit)], 0)),\nINDEX(LossRateUserDatabase[Loss rate], MATCH($E30&$C30, LossRateUserDatabase[Concatenate\n(do not edit)], 0))),\n\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$B$11,\"Country\",$D30,\"IFC Commodity\",commodity,\"IFC Supply Chain Stage\",$C30))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$G$11,\"Country\",$D30,\"IFC Category\",commodityGroup,\"IFC Supply Chain Stage\",$C30))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$L$11,\"WB region\",$E30,\"IFC Commodity\",commodity,\"IFC Supply Chain Stage\",$C30))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$Q$11,\"WB region\",$E30,\"IFC Category\",commodityGroup,\"IFC Supply Chain Stage\",$C30))/100,\"\")","v":""},{"$f":"IFERROR(GETPIVOTDATA(\"Waste (%)\",'FL-Avg-LR'!$V$11,\"FAO Wider Region\",impliedFAOregionRetail,\"FAO Commodity group\",impliedFAOcommgroup,\"IFC Supply Chain stage\",$C30),\"\")","v":""},{"$f":"IF(INDEX(Interface!$J$21:$J$29,MATCH(B30,Interface!$B$21:$B$29,0))=TRUE,\nINDEX(Interface!$F$21:$F$29,MATCH(B30,Interface!$B$21:$B$29,0)),\n\"\")","v":""}]
[]
[null,null,null," "]
[null,"Default food loss rates - Transport - Origin","FAO stage","Origin country","Origin region","Origin country - \nDefault rate (%)","Data source",null,{"$f":"\"IFC custom food loss rate (Country/\"&commodity&\")\"","v":"IFC custom food loss rate (Country/)"},{"$f":"\"FAO Food Loss database (Country/\" & commodity &\")\"","v":"FAO Food Loss database (Country/)"},{"$f":"\"FAO Food Loss database (Country/\"&commodityGroup&\")\"","v":"FAO Food Loss database (Country/)"},{"$f":"\"FAO Food Loss database (UN SubRegion/\"&commodity&\")\"","v":"FAO Food Loss database (UN SubRegion/)"},{"$f":"\"FAO Food Loss database (UN SubRegion/\"&impliedFAOcommgroup&\")\"","v":{"$error":"#N/A"}},{"$f":"\"FAO estimate (FAO Region/\" & impliedFAOcommgroup & \")\"","v":{"$error":"#N/A"}},"User input - AFTER THE PROJECT"]
[null,"Transport 1","Transport",{"$f":"INDEX('Country-selector'!$F$22:$F$28,MATCH('FL-output'!$B34,'Country-selector'!$E$22:$E$28,0))","v":{"$error":"#N/A"}},{"$f":"IF(D34=\"\",\"\",INDEX(CountryMapping[Region],MATCH('FL-output'!D34,CountryMapping[Tool country list],0)))","v":{"$error":"#N/A"}},{"$f":"IF(E34=\"\",\"\",\nIF(I34<>\"\",I34,\nIF(J34<>\"\",J34,\nMIN(IF(K34:N34>0,K34:N34)\n))))","v":{"$error":"#N/A"}},{"$f":"IF(O34<>\"\",O$33,\nIF(I34<>\"\",I$33,\nIF(J34<>\"\",J$33,\nINDEX($K$33:$N$33,MATCH(MIN(K34:N34),K34:N34,0)))))","v":{"$error":"#N/A"}},null,{"$f":"IFERROR(\nIFERROR(\nINDEX(LossRateUserDatabase[Loss rate], MATCH($D34&commodity&$C34, LossRateUserDatabase[Concatenate\n(do not edit)], 0)),\nINDEX(LossRateUserDatabase[Loss rate], MATCH($E34&$C34, LossRateUserDatabase[Concatenate\n(do not edit)], 0))),\n\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$B$11,\"Country\",$D34,\"IFC Commodity\",commodity,\"IFC Supply Chain Stage\",$C34))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$G$11,\"Country\",$D34,\"IFC Category\",commodityGroup,\"IFC Supply Chain Stage\",$C34))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$L$11,\"WB region\",$E34,\"IFC Commodity\",commodity,\"IFC Supply Chain Stage\",$C34))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$Q$11,\"WB region\",$E34,\"IFC Category\",commodityGroup,\"IFC Supply Chain Stage\",$C34))/100,\"\")","v":""},{"$f":"IFERROR(GETPIVOTDATA(\"Waste (%)\",'FL-Avg-LR'!$V$11,\"FAO Wider Region\",impliedFAOregionProduction,\"FAO Commodity group\",impliedFAOcommgroup,\"IFC Supply Chain stage\",$C34),\"\")","v":""},{"$f":"IF(INDEX(Interface!$J$21:$J$29,MATCH(B34,Interface!$B$21:$B$29,0))=TRUE,\nINDEX(Interface!$F$21:$F$29,MATCH(B34,Interface!$B$21:$B$29,0)),\n\"\")","v":""}]
[null,"Transport 2","Transport",{"$f":"INDEX('Country-selector'!$F$22:$F$28,MATCH('FL-output'!$B35,'Country-selector'!$E$22:$E$28,0))","v":{"$error":"#N/A"}},{"$f":"IF(D35=\"\",\"\",INDEX(CountryMapping[Region],MATCH('FL-output'!D35,CountryMapping[Tool country list],0)))","v":{"$error":"#N/A"}},{"$f":"IF(E35=\"\",\"\",\nIF(I35<>\"\",I35,\nIF(J35<>\"\",J35,\nMIN(IF(K35:N35>0,K35:N35)\n))))","v":{"$error":"#N/A"}},{"$f":"IF(O35<>\"\",O$33,\nIF(I35<>\"\",I$33,\nIF(J35<>\"\",J$33,\nINDEX($K$33:$N$33,MATCH(MIN(K35:N35),K35:N35,0)))))","v":{"$error":"#N/A"}},null,{"$f":"IFERROR(\nIFERROR(\nINDEX(LossRateUserDatabase[Loss rate], MATCH($D35&commodity&$C35, LossRateUserDatabase[Concatenate\n(do not edit)], 0)),\nINDEX(LossRateUserDatabase[Loss rate], MATCH($E35&$C35, LossRateUserDatabase[Concatenate\n(do not edit)], 0))),\n\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$B$11,\"Country\",$D35,\"IFC Commodity\",commodity,\"IFC Supply Chain Stage\",$C35))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$G$11,\"Country\",$D35,\"IFC Category\",commodityGroup,\"IFC Supply Chain Stage\",$C35))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$L$11,\"WB region\",$E35,\"IFC Commodity\",commodity,\"IFC Supply Chain Stage\",$C35))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$Q$11,\"WB region\",$E35,\"IFC Category\",commodityGroup,\"IFC Supply Chain Stage\",$C35))/100,\"\")","v":""},{"$f":"IFERROR(GETPIVOTDATA(\"Waste (%)\",'FL-Avg-LR'!$V$11,\"FAO Wider Region\",impliedFAOregionStorage1,\"FAO Commodity group\",impliedFAOcommgroup,\"IFC Supply Chain stage\",$C35),\"\")","v":""},{"$f":"IF(INDEX(Interface!$J$21:$J$29,MATCH(B35,Interface!$B$21:$B$29,0))=TRUE,\nINDEX(Interface!$F$21:$F$29,MATCH(B35,Interface!$B$21:$B$29,0)),\n\"\")","v":""}]
[null,"Transport 3","Transport",{"$f":"INDEX('Country-selector'!$F$22:$F$28,MATCH('FL-output'!$B36,'Country-selector'!$E$22:$E$28,0))","v":{"$error":"#N/A"}},{"$f":"IF(D36=\"\",\"\",INDEX(CountryMapping[Region],MATCH('FL-output'!D36,CountryMapping[Tool country list],0)))","v":{"$error":"#N/A"}},{"$f":"IF(E36=\"\",\"\",\nIF(I36<>\"\",I36,\nIF(J36<>\"\",J36,\nMIN(IF(K36:N36>0,K36:N36)\n))))","v":{"$error":"#N/A"}},{"$f":"IF(O36<>\"\",O$33,\nIF(I36<>\"\",I$33,\nIF(J36<>\"\",J$33,\nINDEX($K$33:$N$33,MATCH(MIN(K36:N36),K36:N36,0)))))","v":{"$error":"#N/A"}},null,{"$f":"IFERROR(\nIFERROR(\nINDEX(LossRateUserDatabase[Loss rate], MATCH($D36&commodity&$C36, LossRateUserDatabase[Concatenate\n(do not edit)], 0)),\nINDEX(LossRateUserDatabase[Loss rate], MATCH($E36&$C36, LossRateUserDatabase[Concatenate\n(do not edit)], 0))),\n\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$B$11,\"Country\",$D36,\"IFC Commodity\",commodity,\"IFC Supply Chain Stage\",$C36))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$G$11,\"Country\",$D36,\"IFC Category\",commodityGroup,\"IFC Supply Chain Stage\",$C36))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$L$11,\"WB region\",$E36,\"IFC Commodity\",commodity,\"IFC Supply Chain Stage\",$C36))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$Q$11,\"WB region\",$E36,\"IFC Category\",commodityGroup,\"IFC Supply Chain Stage\",$C36))/100,\"\")","v":""},{"$f":"IFERROR(GETPIVOTDATA(\"Waste (%)\",'FL-Avg-LR'!$V$11,\"FAO Wider Region\",impliedFAOregionProcessing,\"FAO Commodity group\",impliedFAOcommgroup,\"IFC Supply Chain stage\",$C36),\"\")","v":""},{"$f":"IF(INDEX(Interface!$J$21:$J$29,MATCH(B36,Interface!$B$21:$B$29,0))=TRUE,\nINDEX(Interface!$F$21:$F$29,MATCH(B36,Interface!$B$21:$B$29,0)),\n\"\")","v":""}]
[null,"Transport 4","Transport",{"$f":"INDEX('Country-selector'!$F$22:$F$28,MATCH('FL-output'!$B37,'Country-selector'!$E$22:$E$28,0))","v":{"$error":"#N/A"}},{"$f":"IF(D37=\"\",\"\",INDEX(CountryMapping[Region],MATCH('FL-output'!D37,CountryMapping[Tool country list],0)))","v":{"$error":"#N/A"}},{"$f":"IF(E37=\"\",\"\",\nIF(I37<>\"\",I37,\nIF(J37<>\"\",J37,\nMIN(IF(K37:N37>0,K37:N37)\n))))","v":{"$error":"#N/A"}},{"$f":"IF(O37<>\"\",O$33,\nIF(I37<>\"\",I$33,\nIF(J37<>\"\",J$33,\nINDEX($K$33:$N$33,MATCH(MIN(K37:N37),K37:N37,0)))))","v":{"$error":"#N/A"}},null,{"$f":"IFERROR(\nIFERROR(\nINDEX(LossRateUserDatabase[Loss rate], MATCH($D37&commodity&$C37, LossRateUserDatabase[Concatenate\n(do not edit)], 0)),\nINDEX(LossRateUserDatabase[Loss rate], MATCH($E37&$C37, LossRateUserDatabase[Concatenate\n(do not edit)], 0))),\n\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$B$11,\"Country\",$D37,\"IFC Commodity\",commodity,\"IFC Supply Chain Stage\",$C37))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$G$11,\"Country\",$D37,\"IFC Category\",commodityGroup,\"IFC Supply Chain Stage\",$C37))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$L$11,\"WB region\",$E37,\"IFC Commodity\",commodity,\"IFC Supply Chain Stage\",$C37))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$Q$11,\"WB region\",$E37,\"IFC Category\",commodityGroup,\"IFC Supply Chain Stage\",$C37))/100,\"\")","v":""},{"$f":"IFERROR(GETPIVOTDATA(\"Waste (%)\",'FL-Avg-LR'!$V$11,\"FAO Wider Region\",impliedFAOregionStorage2,\"FAO Commodity group\",impliedFAOcommgroup,\"IFC Supply Chain stage\",$C37),\"\")","v":""},{"$f":"IF(INDEX(Interface!$J$21:$J$29,MATCH(B37,Interface!$B$21:$B$29,0))=TRUE,\nINDEX(Interface!$F$21:$F$29,MATCH(B37,Interface!$B$21:$B$29,0)),\n\"\")","v":""}]
[]
[]
[null,"Default food loss rates - Transport - Destination","FAO stage","Destination country","Destination region","Destination country - \nDefault rate (%)","Data source",null,{"$f":"\"IFC custom food loss rate (Country/\"&commodity&\")\"","v":"IFC custom food loss rate (Country/)"},{"$f":"\"FAO Food Loss database (Country/\" & commodity &\")\"","v":"FAO Food Loss database (Country/)"},{"$f":"\"FAO Food Loss database (Country/\"&commodityGroup&\")\"","v":"FAO Food Loss database (Country/)"},{"$f":"\"FAO Food Loss database (UN SubRegion/\"&commodity&\")\"","v":"FAO Food Loss database (UN SubRegion/)"},{"$f":"\"FAO Food Loss database (UN SubRegion/\"&impliedFAOcommgroup&\")\"","v":{"$error":"#N/A"}},{"$f":"\"FAO estimate (FAO Region/\" & impliedFAOcommgroup & \")\"","v":{"$error":"#N/A"}},"User input - AFTER THE PROJECT"]
[null,"Transport 1","Transport",{"$f":"INDEX('Country-selector'!$H$22:$H$28,MATCH('FL-output'!$B34,'Country-selector'!$E$22:$E$28,0))","v":{"$error":"#N/A"}},{"$f":"IF(D41=\"\",\"\",INDEX(CountryMapping[Region],MATCH('FL-output'!D41,CountryMapping[Tool country list],0)))","v":{"$error":"#N/A"}},{"$f":"IF(E41=\"\",\"\",\nIF(I41<>\"\",I41,\nIF(J41<>\"\",J41,\nMIN(K41:N41)\n)))","v":{"$error":"#N/A"}},{"$f":"IF(O41<>\"\",O$40,\nIF(I41<>\"\",I$40,\nIF(J41<>\"\",J$40,\nINDEX($K$40:$N$40,MATCH(MIN(K41:N41),K41:N41,0)))))","v":{"$error":"#N/A"}},null,{"$f":"IFERROR(\nIFERROR(\nINDEX(LossRateUserDatabase[Loss rate], MATCH($D41&commodity&$C41, LossRateUserDatabase[Concatenate\n(do not edit)], 0)),\nINDEX(LossRateUserDatabase[Loss rate], MATCH($E41&$C41, LossRateUserDatabase[Concatenate\n(do not edit)], 0))),\n\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$B$11,\"Country\",$D41,\"IFC Commodity\",commodity,\"IFC Supply Chain Stage\",$C41))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$G$11,\"Country\",$D41,\"IFC Category\",commodityGroup,\"IFC Supply Chain Stage\",$C41))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$L$11,\"WB region\",$E41,\"IFC Commodity\",commodity,\"IFC Supply Chain Stage\",$C41))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$Q$11,\"WB region\",$E41,\"IFC Category\",commodityGroup,\"IFC Supply Chain Stage\",$C41))/100,\"\")","v":""},{"$f":"IFERROR(GETPIVOTDATA(\"Waste (%)\",'FL-Avg-LR'!$V$11,\"FAO Wider Region\",impliedFAOregionStorage1,\"FAO Commodity group\",impliedFAOcommgroup,\"IFC Supply Chain stage\",$C41),\"\")","v":""},{"$f":"IF(INDEX(Interface!$J$21:$J$29,MATCH(B41,Interface!$B$21:$B$29,0))=TRUE,\nINDEX(Interface!$F$21:$F$29,MATCH(B41,Interface!$B$21:$B$29,0)),\n\"\")","v":""}]
[null,"Transport 2","Transport",{"$f":"INDEX('Country-selector'!$H$22:$H$28,MATCH('FL-output'!$B35,'Country-selector'!$E$22:$E$28,0))","v":{"$error":"#N/A"}},{"$f":"IF(D42=\"\",\"\",INDEX(CountryMapping[Region],MATCH('FL-output'!D42,CountryMapping[Tool country list],0)))","v":{"$error":"#N/A"}},{"$f":"IF(E42=\"\",\"\",\nIF(I42<>\"\",I42,\nIF(J42<>\"\",J42,\nMIN(K42:N42)\n)))","v":{"$error":"#N/A"}},{"$f":"IF(O42<>\"\",O$40,\nIF(I42<>\"\",I$40,\nIF(J42<>\"\",J$40,\nINDEX($K$40:$N$40,MATCH(MIN(K42:N42),K42:N42,0)))))","v":{"$error":"#N/A"}},null,{"$f":"IFERROR(\nIFERROR(\nINDEX(LossRateUserDatabase[Loss rate], MATCH($D42&commodity&$C42, LossRateUserDatabase[Concatenate\n(do not edit)], 0)),\nINDEX(LossRateUserDatabase[Loss rate], MATCH($E42&$C42, LossRateUserDatabase[Concatenate\n(do not edit)], 0))),\n\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$B$11,\"Country\",$D42,\"IFC Commodity\",commodity,\"IFC Supply Chain Stage\",$C42))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$G$11,\"Country\",$D42,\"IFC Category\",commodityGroup,\"IFC Supply Chain Stage\",$C42))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$L$11,\"WB region\",$E42,\"IFC Commodity\",commodity,\"IFC Supply Chain Stage\",$C42))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$Q$11,\"WB region\",$E42,\"IFC Category\",commodityGroup,\"IFC Supply Chain Stage\",$C42))/100,\"\")","v":""},{"$f":"IFERROR(GETPIVOTDATA(\"Waste (%)\",'FL-Avg-LR'!$V$11,\"FAO Wider Region\",impliedFAOregionProcessing,\"FAO Commodity group\",impliedFAOcommgroup,\"IFC Supply Chain stage\",$C42),\"\")","v":""},{"$f":"IF(INDEX(Interface!$J$21:$J$29,MATCH(B42,Interface!$B$21:$B$29,0))=TRUE,\nINDEX(Interface!$F$21:$F$29,MATCH(B42,Interface!$B$21:$B$29,0)),\n\"\")","v":""}]
[null,"Transport 3","Transport",{"$f":"INDEX('Country-selector'!$H$22:$H$28,MATCH('FL-output'!$B36,'Country-selector'!$E$22:$E$28,0))","v":{"$error":"#N/A"}},{"$f":"IF(D43=\"\",\"\",INDEX(CountryMapping[Region],MATCH('FL-output'!D43,CountryMapping[Tool country list],0)))","v":{"$error":"#N/A"}},{"$f":"IF(E43=\"\",\"\",\nIF(I43<>\"\",I43,\nIF(J43<>\"\",J43,\nMIN(K43:N43)\n)))","v":{"$error":"#N/A"}},{"$f":"IF(O43<>\"\",O$40,\nIF(I43<>\"\",I$40,\nIF(J43<>\"\",J$40,\nINDEX($K$40:$N$40,MATCH(MIN(K43:N43),K43:N43,0)))))","v":{"$error":"#N/A"}},null,{"$f":"IFERROR(\nIFERROR(\nINDEX(LossRateUserDatabase[Loss rate], MATCH($D43&commodity&$C43, LossRateUserDatabase[Concatenate\n(do not edit)], 0)),\nINDEX(LossRateUserDatabase[Loss rate], MATCH($E43&$C43, LossRateUserDatabase[Concatenate\n(do not edit)], 0))),\n\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$B$11,\"Country\",$D43,\"IFC Commodity\",commodity,\"IFC Supply Chain Stage\",$C43))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$G$11,\"Country\",$D43,\"IFC Category\",commodityGroup,\"IFC Supply Chain Stage\",$C43))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$L$11,\"WB region\",$E43,\"IFC Commodity\",commodity,\"IFC Supply Chain Stage\",$C43))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$Q$11,\"WB region\",$E43,\"IFC Category\",commodityGroup,\"IFC Supply Chain Stage\",$C43))/100,\"\")","v":""},{"$f":"IFERROR(GETPIVOTDATA(\"Waste (%)\",'FL-Avg-LR'!$V$11,\"FAO Wider Region\",impliedFAOregionStorage2,\"FAO Commodity group\",impliedFAOcommgroup,\"IFC Supply Chain stage\",$C43),\"\")","v":""},{"$f":"IF(INDEX(Interface!$J$21:$J$29,MATCH(B43,Interface!$B$21:$B$29,0))=TRUE,\nINDEX(Interface!$F$21:$F$29,MATCH(B43,Interface!$B$21:$B$29,0)),\n\"\")","v":""}]
[null,"Transport 4","Transport",{"$f":"INDEX('Country-selector'!$H$22:$H$28,MATCH('FL-output'!$B37,'Country-selector'!$E$22:$E$28,0))","v":{"$error":"#N/A"}},{"$f":"IF(D44=\"\",\"\",INDEX(CountryMapping[Region],MATCH('FL-output'!D44,CountryMapping[Tool country list],0)))","v":{"$error":"#N/A"}},{"$f":"IF(E44=\"\",\"\",\nIF(I44<>\"\",I44,\nIF(J44<>\"\",J44,\nMIN(K44:N44)\n)))","v":{"$error":"#N/A"}},{"$f":"IF(O44<>\"\",O$40,\nIF(I44<>\"\",I$40,\nIF(J44<>\"\",J$40,\nINDEX($K$40:$N$40,MATCH(MIN(K44:N44),K44:N44,0)))))","v":{"$error":"#N/A"}},null,{"$f":"IFERROR(\nIFERROR(\nINDEX(LossRateUserDatabase[Loss rate], MATCH($D44&commodity&$C44, LossRateUserDatabase[Concatenate\n(do not edit)], 0)),\nINDEX(LossRateUserDatabase[Loss rate], MATCH($E44&$C44, LossRateUserDatabase[Concatenate\n(do not edit)], 0))),\n\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$B$11,\"Country\",$D44,\"IFC Commodity\",commodity,\"IFC Supply Chain Stage\",$C44))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$G$11,\"Country\",$D44,\"IFC Category\",commodityGroup,\"IFC Supply Chain Stage\",$C44))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$L$11,\"WB region\",$E44,\"IFC Commodity\",commodity,\"IFC Supply Chain Stage\",$C44))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",'FL-Avg-LR'!$Q$11,\"WB region\",$E44,\"IFC Category\",commodityGroup,\"IFC Supply Chain Stage\",$C44))/100,\"\")","v":""},{"$f":"IFERROR(GETPIVOTDATA(\"Waste (%)\",'FL-Avg-LR'!$V$11,\"FAO Wider Region\",impliedFAOregionRetail,\"FAO Commodity group\",impliedFAOcommgroup,\"IFC Supply Chain stage\",$C44),\"\")","v":""},{"$f":"IF(INDEX(Interface!$J$21:$J$29,MATCH(B44,Interface!$B$21:$B$29,0))=TRUE,\nINDEX(Interface!$F$21:$F$29,MATCH(B44,Interface!$B$21:$B$29,0)),\n\"\")","v":""}]
[]
[]
[null,"TRANSPORT: weighted food loss rates based on distance"]
[]
[null,"Number of tranport stage(s)",{"$f":"'Country-selector'!C32","v":1}]
[null,"Number of transport sub-stages for TR-1",{"$f":"IF(D34=D41,1,3)","v":{"$error":"#N/A"}}]
[null,"Number of transport sub-stages for TR-2",{"$f":"IF(D35=D42,1,3)","v":{"$error":"#N/A"}}]
[null,"Number of transport sub-stages for TR-3",{"$f":"IF(D36=D43,1,3)","v":{"$error":"#N/A"}}]
[null,"Number of transport sub-stages for TR-4",{"$f":"IF(D37=D44,1,3)","v":{"$error":"#N/A"}}]
[null,"Total number of transport sub-stages",{"$f":"_xlfn.AGGREGATE(9,6,C50:C53)","v":0}]
[]
[]
[]
[null,"Distance",null,"Distance (km) - Origin","Distance  (km) - In between","Distance (km) - Destination"]
[null,"Transport 1",null,{"$f":"'TR-1'!E19","v":{"$error":"#N/A"}},{"$f":"'TR-1'!I19","v":{"$error":"#N/A"}},{"$f":"'TR-1'!M19","v":{"$error":"#N/A"}}]
[null,"Transport 2",null,{"$f":"'TR-2'!E19","v":{"$error":"#N/A"}},{"$f":"'TR-2'!I19","v":{"$error":"#N/A"}},{"$f":"'TR-2'!M19","v":{"$error":"#N/A"}}]
[null,"Transport 3",null,{"$f":"'TR-3'!E19","v":{"$error":"#N/A"}},{"$f":"'TR-3'!I19","v":{"$error":"#N/A"}},{"$f":"'TR-3'!M19","v":{"$error":"#N/A"}}]
[null,"Transport 4",null,{"$f":"'TR-4'!E19","v":{"$error":"#N/A"}},{"$f":"'TR-4'!I19","v":{"$error":"#N/A"}},{"$f":"'TR-4'!M19","v":{"$error":"#N/A"}}]
[]
[null,"Default Food Loss Rate"]
[null,"Food loss",null,"Food loss rate - Origin country","Food loss rate - In between (same as origin country loss rate)","Food loss rate - Destination country",null,null,"Food loss - Weighted average"]
[null,"Transport 1",null,{"$f":"INDEX($F$34:$F$37,MATCH(B66,$B$34:$B$37,0))/C54","v":{"$error":"#N/A"}},{"$f":"INDEX($F$34:$F$37,MATCH(B66,$B$34:$B$37,0))/C54","v":{"$error":"#N/A"}},{"$f":"INDEX($F$41:$F$44,MATCH(B66,$B$41:$B$44,0))/C54","v":{"$error":"#N/A"}},null,null,{"$f":"SUMPRODUCT(D66:F66,D59:F59)/SUM(D59:F59)","v":{"$error":"#N/A"}}]
[null,"Transport 2",null,{"$f":"INDEX($F$34:$F$37,MATCH(B67,$B$34:$B$37,0))/C54","v":{"$error":"#N/A"}},{"$f":"INDEX($F$34:$F$37,MATCH(B67,$B$34:$B$37,0))/C54","v":{"$error":"#N/A"}},{"$f":"INDEX($F$41:$F$44,MATCH(B67,$B$41:$B$44,0))/C54","v":{"$error":"#N/A"}},null,null,{"$f":"IF($C$49<2,0,SUMPRODUCT(D67:F67,D60:F60)/SUM(D60:F60))","v":0}]
[null,"Transport 3",null,{"$f":"INDEX($F$34:$F$37,MATCH(B68,$B$34:$B$37,0))/C54","v":{"$error":"#N/A"}},{"$f":"INDEX($F$34:$F$37,MATCH(B68,$B$34:$B$37,0))/C54","v":{"$error":"#N/A"}},{"$f":"INDEX($F$41:$F$44,MATCH(B68,$B$41:$B$44,0))/C54","v":{"$error":"#N/A"}},null,null,{"$f":"IF($C$49<3,0,SUMPRODUCT(D68:F68,D61:F61)/SUM(D61:F61))","v":0}]
[null,"Transport 4",null,{"$f":"INDEX($F$34:$F$37,MATCH(B69,$B$34:$B$37,0))/C54","v":{"$error":"#N/A"}},{"$f":"INDEX($F$34:$F$37,MATCH(B69,$B$34:$B$37,0))/C54","v":{"$error":"#N/A"}},{"$f":"INDEX($F$41:$F$44,MATCH(B69,$B$41:$B$44,0))/C54","v":{"$error":"#N/A"}},null,null,{"$f":"IF($C$49<4,0,SUMPRODUCT(D69:F69,D62:F62)/SUM(D62:F62))","v":0}]
[]
[]
["Example"]
[null,"How do we weight deafult food losses?"]
[null,"\"full\" default loss rate for each country","Origin","In between","Destination"]
[null,"Transport (post-harvest production to storage1)",0.12,0.12,0.06,{"$f":"SUM(C75:E75)","v":0.3}]
[null,"Transport (storage1 to processing)",0.06,0.06,0.06,0.18]
[null,"Transport (processing to storage2)",0.06,0.06,0.05,0.16999999999999998]
[null,"Transport (storage2 to retail)",0.05,0.05,0.05,{"$f":"SUM(C78:E78)","v":0.15000000000000002}]
[null,null,null,null,null,{"$f":"SUM(F75:F78)","v":0.79999999999999993}]
[]
[null,null,"Origin","In between","Destination"]
[null,"Transport (post-harvest production to storage1)",{"$f":"C75/12","v":0.01},{"$f":"D75/12","v":0.01},5.0000000000000001E-3,{"$f":"SUM(C82:E82)","v":2.5000000000000001E-2}]
[null,"Transport (storage1 to processing)",{"$f":"C76/12","v":5.0000000000000001E-3},5.0000000000000001E-3,5.0000000000000001E-3,{"$f":"SUM(C83:E83)","v":1.4999999999999999E-2}]
[null,"Transport (processing to storage2)",{"$f":"C77/12","v":5.0000000000000001E-3},5.0000000000000001E-3,4.1666666666666666E-3,{"$f":"SUM(C84:E84)","v":1.4166666666666668E-2}]
[null,"Transport (storage2 to retail)",{"$f":"C78/12","v":4.1666666666666666E-3},4.1666666666666666E-3,4.1666666666666666E-3,{"$f":"SUM(C85:E85)","v":1.2500000000000001E-2}]
[null,null,null,null,null,{"$f":"SUM(F82:F85)","v":6.6666666666666666E-2}]
[null,"Option 3b","Origin","In between","Destination"]
[null,"Transport (post-harvest production to storage1)",0.03,0,0,{"$f":"SUM(C88:E88)","v":0.03}]
[null,"Transport (storage1 to processing)",0.03,0,0,{"$f":"SUM(C89:E89)","v":0.03}]
[null,"Transport (processing to storage2)",0.03,0,0,{"$f":"SUM(C90:E90)","v":0.03}]
[null,"Transport (storage2 to retail)",0.03,0,0,{"$f":"SUM(C91:E91)","v":0.03}]
[null,null,null,null,null,{"$f":"SUM(F88:F91)","v":0.12}]
[]
[null,"\"full\" default loss rate for each country","Origin","In between","Destination"]
[null,"Transport (post-harvest production to storage1)",0.12,0.12,0.06,{"$f":"SUM(C95:E95)","v":0.3}]
[null,"Transport (storage1 to processing)",0.06,0.06,0.03,{"$f":"SUM(C96:E96)","v":0.15}]
[null,"Transport (processing to storage2)",0.03,0.03,0.05,0.11]
[null,"Transport (storage2 to retail)",0.05,0.05,0.08,{"$f":"SUM(C98:E98)","v":0.18}]
[null,null,null,null,null,{"$f":"SUM(F95:F98)","v":0.74}]
[]
[null,null,"Origin","In between","Destination"]
[null,"Transport (post-harvest production to storage1)",{"$f":"C95/12","v":0.01},{"$f":"D95/12","v":0.01},5.0000000000000001E-3,{"$f":"SUM(C102:E102)","v":2.5000000000000001E-2}]
[null,"Transport (storage1 to processing)",{"$f":"C96/12","v":5.0000000000000001E-3},5.0000000000000001E-3,2.5000000000000001E-3,{"$f":"SUM(C103:E103)","v":1.2500000000000001E-2}]
[null,"Transport (processing to storage2)",{"$f":"C97/12","v":2.5000000000000001E-3},2.5000000000000001E-3,4.1666666666666666E-3,{"$f":"SUM(C104:E104)","v":9.1666666666666667E-3}]
[null,"Transport (storage2 to retail)",{"$f":"C98/12","v":4.1666666666666666E-3},4.1666666666666666E-3,6.6666666666666671E-3,{"$f":"SUM(C105:E105)","v":1.4999999999999999E-2}]
[null,null,null,null,null,{"$f":"SUM(F102:F105)","v":6.1666666666666675E-2}]

{"sheet":"FL-Avg-LR","index":16,"n_rows":1637,"n_cols":26,"rows_kept":281,"cut":true,"hidden":true,"merged":[],"bounds":{"rows_first":125,"rows_last":31,"rows_between":125,"halvings":4}}
[]
[null,"National / regional estimates (FAO)"]
[null,"Pivot tables calculate national and regional averages based on the values provided in the FAO Fodd Loss Database"]
[null,"Source (updated November 2024):","https://www.fao.org/platform-food-loss-waste/flw-data/en/"]
[]
[null,"LEVEL 1 \nAverage food loss rate \nCommodity & Country level",null,null,null,null,"LEVEL 2\nAverage food loss rate \nCommodity group & Country level",null,null,null,null,"LEVEL 3\nAverage food loss rate \nCommodity & Region level",null,null,null,null,"LEVEL 4\nAverage food loss rate \nCommodity group & Region level",null,null,null,null,"LEVEL 5\nFAO estimate\nCommodity group & Region level"]
[null,"Source: table FAOdata in tab FL-FAO-db",null,null,null,null,"Source: table FAOdata in tab FL-FAO-db",null,null,null,null,"Source: table FAOdata in tab FL-FAO-db",null,null,null,null,"Source: table FAOdata in tab FL-FAO-db",null,null,null,null,"Source: table FAOGlobalFoodLossEstimate in tab FL-Map"]
[]
[null,"year","(Multiple Items)",null,null,null,"year","(Multiple Items)",null,null,null,"year","(Multiple Items)",null,null,null,"year","(Multiple Items)"]
[]
[null,"country","IFC Commodity","IFC Supply Chain Stage","Average of loss_percentage",null,"country","IFC Category","IFC Supply Chain Stage","Average of loss_percentage",null,"IFC Commodity","WB region","IFC Supply Chain Stage","Average of loss_percentage",null,"IFC Category","WB region","IFC Supply Chain Stage","Average of loss_percentage",null,"FAO Wider Region","WB region","FAO Commodity group","IFC Supply Chain stage","Average of Waste (%)"]
[null,"Angola","Maize",0,5.8118308333333326,null,"Angola","Pulses & Grains",0,4.4434684999999989,null,"Apples","Europe & Central Asia",0,12.5625,null,"Animal Protein","East Asia & Pacific",0,3,null,"Europe (incl. Russia)","Europe & Central Asia","Cereals",null,7.5999999999999998E-2]
[null,"Angola","Maize","Transport",1,null,"Angola","Pulses & Grains","Storage",1.569999999999999,null,"Apples","Europe & Central Asia","Storage",3.5,null,"Animal Protein","East Asia & Pacific","Storage",3.1,null,"Europe (incl. Russia)","Europe & Central Asia","Cereals","Production",0.02]
[null,"Angola","Maize","Storage",2.6499999999999995,null,"Angola","Pulses & Grains","Transport",1,null,"Apples","Europe & Central Asia","Production",10.722222222222221,null,"Animal Protein","East Asia & Pacific","Production",5.35,null,"Europe (incl. Russia)","Europe & Central Asia","Cereals","Storage",2.9712269801762371E-2]
[null,"Angola","Maize","Production",3.5905594444444446,null,"Angola","Pulses & Grains","Production",2.6413531346153851,null,"Apples","Europe & Central Asia","Processing",7.5,null,"Animal Protein","East Asia & Pacific","Processing",1.1000000000000001,null,"Europe (incl. Russia)","Europe & Central Asia","Cereals","Transport",1.0287730198237624E-2]
[null,"Angola","Maize",null,1.5394583333333334,null,"Angola","Pulses & Grains",null,2.718016333333332,null,"Apples","Europe & Central Asia","Retail",2.5,null,"Animal Protein","Europe & Central Asia",0,4.2037500000000003,null,"Europe (incl. Russia)","Europe & Central Asia","Cereals","(blank)",0.14499999999999999]
[null,"Angola","Rice",0,4.4033299999999995,null,"Argentina","Pulses & Grains","Storage",0.50307692307692309,null,"Apples","Middle East & North Africa",0,9,null,"Animal Protein","Europe & Central Asia","Storage",0.2,null,"Europe (incl. Russia)","Europe & Central Asia","Cereals","Processing",0.05]
[null,"Angola","Rice","Transport",1,null,"Armenia","Fruits",0,1.5,null,"Apples","Middle East & North Africa","Storage",9.0333333333333332,null,"Animal Protein","Europe & Central Asia","Transport",3.1500000000000004,null,"Europe (incl. Russia)","Europe & Central Asia","Cereals","Retail",0.02]
[null,"Angola","Rice","Storage",1.3000000000000003,null,"Armenia","Fruits","Production",3.5,null,"Apples","Middle East & North Africa","Production",6,null,"Animal Protein","Europe & Central Asia","Processing",6.55,null,"Europe (incl. Russia)","Europe & Central Asia","Fish and seafood",null,7.1800000000000003E-2]
[null,"Angola","Rice","Production",1.464034888888889,null,"Armenia","Fruits","Processing",4.5,null,"Apples","North America",0,4,null,"Animal Protein","Latin America & Caribbean",0,36.556666666666665,null,"Europe (incl. Russia)","Europe & Central Asia","Fish and seafood","Production",9.4E-2]
[null,"Angola","Rice",null,2.950623333333334,null,"Armenia","Pulses & Grains",0,6,null,"Apples","North America","Retail",19.2,null,"Animal Protein","Middle East & North Africa","Production",5,null,"Europe (incl. Russia)","Europe & Central Asia","Fish and seafood","Storage",0]
[null,"Angola","Sorghum",0,4.4533191666666658,null,"Armenia","Pulses & Grains","Production",8.3333333333333339,null,"Apples","South Asia",0,8.1516666666666655,null,"Animal Protein","North America",0,2,null,"Europe (incl. Russia)","Europe & Central Asia","Fish and seafood","Transport",0]
[null,"Angola","Sorghum","Transport",1,null,"Armenia","Pulses & Grains","Processing",6,null,"Apples","South Asia","Storage",0.43666666666666659,null,"Animal Protein","North America","Retail",3.5,null,"Europe (incl. Russia)","Europe & Central Asia","Fish and seafood","(blank)",5.7500000000000002E-2]
[null,"Angola","Sorghum","Storage",1.3000000000000003,null,"Armenia","Tubers/Root Crops",0,2,null,"Apples","South Asia","Production",1.4466666666666665,null,"Animal Protein","South Asia",0,2.793571428571429,null,"Europe (incl. Russia)","Europe & Central Asia","Fish and seafood","Processing",0.06]
[null,"Angola","Sorghum","Production",2.9341024999999994,null,"Armenia","Tubers/Root Crops","Production",12.5,null,"Apples","South Asia","Transport",0.42,null,"Animal Protein","South Asia","Storage",0.64799999999999991,null,"Europe (incl. Russia)","Europe & Central Asia","Fish and seafood","Retail",0.09]
[null,"Angola","Sorghum",null,3.600000000000001,null,"Azerbaijan","",0,0.58916666666666673,null,"Bananas","East Asia & Pacific",0,20.05,null,"Animal Protein","South Asia","Transport",0.19,null,"Europe (incl. Russia)","Europe & Central Asia","Fruits and vegetables",null,0.11200000000000002]
[null,"Angola","Wheat",0,4.1590175,null,"Azerbaijan","Fruits",0,3.8858333333333337,null,"Bananas","Europe & Central Asia",0,2,null,"Animal Protein","South Asia","Production",0.99,null,"Europe (incl. Russia)","Europe & Central Asia","Fruits and vegetables","Production",0.2]
[null,"Angola","Wheat","Transport",1,null,"Azerbaijan","Nuts/Seeds",0,1.4000000000000001,null,"Bananas","Europe & Central Asia","Production",3,null,"Animal Protein","Sub-Saharan Africa",0,7.5,null,"Europe (incl. Russia)","Europe & Central Asia","Fruits and vegetables","Storage",1.2272779156584082E-2]
[null,"Angola","Wheat","Storage",1.3000000000000003,null,"Azerbaijan","Pulses & Grains",0,3.7162500000000005,null,"Bananas","Europe & Central Asia","Processing",1.5,null,"Animal Protein","Sub-Saharan Africa","Production",1.8,null,"Europe (incl. Russia)","Europe & Central Asia","Fruits and vegetables","Transport",3.7727220843415919E-2]
[null,"Angola","Wheat","Production",4.125,null,"Azerbaijan","Tubers/Root Crops",0,3.7083333333333335,null,"Bananas","Europe & Central Asia","Retail",2,null,"Fruits","East Asia & Pacific",0,7.8631851851851842,null,"Europe (incl. Russia)","Europe & Central Asia","Fruits and vegetables","(blank)",0.12]
[null,"Angola","Wheat",null,3.5,null,"Azerbaijan","Vegetables",0,6.44,null,"Bananas","Latin America & Caribbean",0,0.45,null,"Fruits","East Asia & Pacific","Transport",1.8686666666666667,null,"Europe (incl. Russia)","Europe & Central Asia","Fruits and vegetables","Processing",0.02]
[null,"Angola","Millet",0,3.3898449999999998,null,"Bangladesh","",0,12.184583333333336,null,"Bananas","Latin America & Caribbean",null,30,null,"Fruits","East Asia & Pacific","Production",12.738099999999999,null,"Europe (incl. Russia)","Europe & Central Asia","Fruits and vegetables","Retail",0.1]
[null,"Angola","Millet","Transport",1,null,"Bangladesh",null,"Production",7.4530000000000003,null,"Bananas","Latin America & Caribbean","Processing",8.69,null,"Fruits","East Asia & Pacific","Retail",10.203214285714285,null,"Europe (incl. Russia)","Europe & Central Asia","Meat",null,4.7599999999999996E-2]
[null,"Angola","Millet","Storage",1.3000000000000003,null,"Bangladesh",null,"Retail",7.1519999999999992,null,"Bananas","North America","Retail",4.05,null,"Fruits","Europe & Central Asia",0,7.3025999999999973,null,"Europe (incl. Russia)","Europe & Central Asia","Meat","Production",3.1E-2]
[null,"Angola","Millet","Production",1.6852009166666666,null,"Bangladesh","Fruits",0,10.862500000000001,null,"Bananas","South Asia",0,8.7347826086956513,null,"Fruits","Europe & Central Asia","Storage",2,null,"Europe (incl. Russia)","Europe & Central Asia","Meat","Storage",2.2957746478873236E-3]
[null,"Angola","Millet",null,2,null,"Bangladesh","Fruits","Transport",15,null,"Bananas","South Asia","Storage",0.68800000000000006,null,"Fruits","Europe & Central Asia","Production",6.75,null,"Europe (incl. Russia)","Europe & Central Asia","Meat","Transport",4.7042253521126761E-3]
[null,"Argentina","Soybeans","Storage",0.50307692307692309,null,"Bangladesh","Fruits","Production",9.3137500000000006,null,"Bananas","South Asia","Production",4.5214285714285714,null,"Fruits","Europe & Central Asia","Processing",5.3181818181818183,null,"Europe (incl. Russia)","Europe & Central Asia","Meat","(blank)",5.8500000000000003E-2]
[null,"Armenia","Apples",0,1.5,null,"Bangladesh","Fruits","Processing",1.35,null,"Bananas","South Asia","Transport",10.955,null,"Fruits","Europe & Central Asia","Retail",2.5499999999999998,null,"Europe (incl. Russia)","Europe & Central Asia","Meat","Processing",0.05]
[null,"Armenia","Apples","Production",4.5,null,"Bangladesh","Fruits","Retail",9.7442105263157881,null,"Bananas","South Asia","Retail",6.7766666666666673,null,"Fruits","Latin America & Caribbean",0,14.596000000000002,null,"Europe (incl. Russia)","Europe & Central Asia","Meat","Retail",0.04]
[null,"Armenia","Apples","Processing",6,null,"Bangladesh","Pulses & Grains",0,15.434047619047616,null,"Bananas","Sub-Saharan Africa",0,17.347000000000001,null,"Fruits","Latin America & Caribbean","Storage",11.75,null,"Europe (incl. Russia)","Europe & Central Asia","Milk",null,2.5399999999999999E-2]
[null,"Armenia","Potatoes",0,2,null,"Bangladesh","Pulses & Grains","Storage",7.0105555555555554,null,"Bananas","Sub-Saharan Africa","Storage",8,null,"Fruits","Latin America & Caribbean","Production",30.75,null,"Europe (incl. Russia)","Europe & Central Asia","Milk","Production",3.5000000000000003E-2]
[null,"Armenia","Potatoes","Production",12.5,null,"Bangladesh","Pulses & Grains","Transport",8.6050000000000004,null,"Bananas","Sub-Saharan Africa","Production",22.316666666666666,null,"Fruits","Latin America & Caribbean",null,25.48,null,"Europe (incl. Russia)","Europe & Central Asia","Milk","Storage",1.639839034205231E-3]
[null,"Armenia","Tomatoes",0,1.5,null,"Bangladesh","Pulses & Grains","Production",10.191399999999998,null,"Bananas","Sub-Saharan Africa","Transport",16.666666666666668,null,"Fruits","Latin America & Caribbean","Processing",9.5250000000000004,null,"Europe (incl. Russia)","Europe & Central Asia","Milk","Transport",3.3601609657947684E-3]
[null,"Armenia","Tomatoes","Production",2.5,null,"Bangladesh","Pulses & Grains","Processing",1.2341249999999999,null,"Bananas","Sub-Saharan Africa","Processing",9,null,"Fruits","Latin America & Caribbean","Retail",6.3,null,"Europe (incl. Russia)","Europe & Central Asia","Milk","(blank)",3.7500000000000006E-2]
[null,"Armenia","Tomatoes","Processing",3,null,"Bangladesh","Pulses & Grains","Retail",0.28750000000000003,null,"Bananas","Sub-Saharan Africa","Retail",8.41,null,"Fruits","Middle East & North Africa",0,18.719444444444449,null,"Europe (incl. Russia)","Europe & Central Asia","Milk","Processing",1.2E-2]
[null,"Armenia","Wheat",0,6,null,"Bangladesh","Vegetables",0,13.089999999999998,null,"Barley","East Asia & Pacific",0,17.425000000000001,null,"Fruits","Middle East & North Africa","Storage",9.0333333333333332,null,"Europe (incl. Russia)","Europe & Central Asia","Milk","Retail",5.0000000000000001E-3]
[null,"Armenia","Wheat","Production",8.3333333333333339,null,"Bangladesh","Vegetables","Production",5.7,null,"Barley","East Asia & Pacific","Storage",14,null,"Fruits","Middle East & North Africa","Production",17.149999999999999,null,"Europe (incl. Russia)","Europe & Central Asia","Oilseeds and pulses",null,4.2000000000000003E-2]
[null,"Armenia","Wheat","Processing",6,null,"Bangladesh","Vegetables","Retail",8.6999999999999993,null,"Barley","East Asia & Pacific","Production",9.5,null,"Fruits","Middle East & North Africa","Processing",19,null,"Europe (incl. Russia)","Europe & Central Asia","Oilseeds and pulses","Production",0.1]
[null,"Azerbaijan","Barley",0,2.5399999999999996,null,"Benin","",0,4.2769230769230768,null,"Barley","East Asia & Pacific","Transport",15,null,"Fruits","Middle East & North Africa","Retail",18.2,null,"Europe (incl. Russia)","Europe & Central Asia","Oilseeds and pulses","Storage",7.9120256749103269E-3]
[null,"Azerbaijan","Grapes",0,2.0783333333333336,null,"Benin",null,"Storage",45,null,"Barley","East Asia & Pacific","Processing",15,null,"Fruits","North America",0,7.0082644628099171,null,"Europe (incl. Russia)","Europe & Central Asia","Oilseeds and pulses","Transport",2.0879743250896733E-3]
[null,"Azerbaijan","Maize",0,0.13,null,"Benin",null,"Production",1.9486486486486481,null,"Barley","Europe & Central Asia",0,3.4159999999999995,null,"Fruits","North America","Retail",14.215384615384616,null,"Europe (incl. Russia)","Europe & Central Asia","Oilseeds and pulses","(blank)",2.5000000000000001E-2]
[null,"Azerbaijan","Potatoes",0,3.7083333333333335,null,"Benin",null,null,3.5,null,"Barley","Latin America & Caribbean",0,15,null,"Fruits","South Asia",0,10.531576576576574,null,"Europe (incl. Russia)","Europe & Central Asia","Oilseeds and pulses","Processing",0.05]
[null,"Azerbaijan","Tomatoes",0,5.6933333333333342,null,"Benin",null,"Processing",23.2,null,"Barley","Middle East & North Africa",0,15,null,"Fruits","South Asia","Storage",2.8089622641509435,null,"Europe (incl. Russia)","Europe & Central Asia","Oilseeds and pulses","Retail",0.01]
[null,"Azerbaijan","Wheat",0,5.5683333333333325,null,"Benin","Fruits",0,29.542857142857144,null,"Barley","Middle East & North Africa","Storage",15,null,"Fruits","South Asia","Transport",8.3450000000000006,null,"Europe (incl. Russia)","Europe & Central Asia","Roots and tubers",null,0.13600000000000001]
[null,"Azerbaijan",0,0,0.71166666666666656,null,"Benin","Fruits","Production",29.666666666666668,null,"Barley","Sub-Saharan Africa",0,3.3648176712328763,null,"Fruits","South Asia","Production",5.6021276595744673,null,"Europe (incl. Russia)","Europe & Central Asia","Roots and tubers","Production",0.2]
[null,"Azerbaijan","#N/A",0,0.46666666666666662,null,"Benin","Fruits","Retail",32.412500000000001,null,"Barley","Sub-Saharan Africa","Storage",2.1100000000000008,null,"Fruits","South Asia","Processing",0.97500000000000009,null,"Europe (incl. Russia)","Europe & Central Asia","Roots and tubers","Storage",4.7708409136156746E-2]
[null,"Azerbaijan","Oats",0,6.626666666666666,null,"Benin","Pulses & Grains",0,6.3098724000000006,null,"Barley","Sub-Saharan Africa","Production",1.7801335316455693,null,"Fruits","South Asia","Retail",9.2410714285714288,null,"Europe (incl. Russia)","Europe & Central Asia","Roots and tubers","Transport",4.2291590863843244E-2]
[null,"Azerbaijan","Onions (fresh)",0,6.44,null,"Benin","Pulses & Grains","Storage",2.7338461538461556,null,"Barley","Sub-Saharan Africa",null,3.5,null,"Fruits","Sub-Saharan Africa",0,17.362542372881354,null,"Europe (incl. Russia)","Europe & Central Asia","Roots and tubers","(blank)",0.13]
[null,"Azerbaijan","Hazelnuts",0,1.4000000000000001,null,"Benin","Pulses & Grains","Transport",1.2166666666666663,null,"Barley","Sub-Saharan Africa","Transport",1,null,"Fruits","Sub-Saharan Africa","Storage",6.6328571428571417,null,"Europe (incl. Russia)","Europe & Central Asia","Roots and tubers","Processing",0.15]
[null,"Azerbaijan","Walnuts",0,1.4000000000000001,null,"Benin","Pulses & Grains","Production",2.6433474107142874,null,"Carrots","East Asia & Pacific",0,31,null,"Fruits","Sub-Saharan Africa","Transport",18.712499999999999,null,"Europe (incl. Russia)","Europe & Central Asia","Roots and tubers","Retail",7.0000000000000007E-2]
[null,"Bangladesh","Bananas",0,9.3857142857142861,null,"Benin","Pulses & Grains",null,2.5142849999999988,null,"Carrots","East Asia & Pacific","Production",1,null,"Fruits","Sub-Saharan Africa","Production",21.145312499999999,null,"Industrialized Asia","East Asia and Pacific","Cereals",null,7.7999999999999986E-2]
[null,"Bangladesh","Bananas","Production",7.7,null,"Benin","Vegetables",0,27.925000000000001,null,"Carrots","East Asia & Pacific","Processing",3,null,"Fruits","Sub-Saharan Africa",null,6.3,null,"Industrialized Asia","East Asia and Pacific","Cereals","Production",0.02]
[null,"Bangladesh","Bananas","Retail",3.5750000000000002,null,"Benin","Vegetables","Production",10.45,null,"Carrots","Europe & Central Asia",0,16.823076923076918,null,"Fruits","Sub-Saharan Africa","Processing",9.7142857142857135,null,"Industrialized Asia","East Asia and Pacific","Cereals","Storage",7.4280674504405939E-2]
[null,"Bangladesh","Maize",0,4.07,null,"Benin","Vegetables","Retail",18.75,null,"Carrots","Europe & Central Asia","Storage",6.8,null,"Fruits","Sub-Saharan Africa","Retail",16.169565217391305,null,"Industrialized Asia","East Asia and Pacific","Cereals","Transport",2.571932549559406E-2]
[null,"Bangladesh","Maize","Storage",2.5,null,"Bolivia (Plurinational State of)","Pulses & Grains","Storage",7,null,"Carrots","Europe & Central Asia","Production",16.309999999999999,null,"Nuts/Seeds","Europe & Central Asia",0,1.4000000000000001,null,"Industrialized Asia","East Asia and Pacific","Cereals","(blank)",0.15000000000000002]
[null,"Bangladesh","Mangoes",0,9.7099999999999991,null,"Bolivia (Plurinational State of)","Pulses & Grains","Production",3.5,null,"Carrots","Europe & Central Asia","Processing",16.5,null,"Nuts/Seeds","Latin America & Caribbean",0,5,null,"Industrialized Asia","East Asia and Pacific","Cereals","Processing",0.05]
[null,"Bangladesh","Mangoes","Production",4.0333333333333332,null,"Botswana","Pulses & Grains",0,4.5221127777777781,null,"Carrots","Latin America & Caribbean",0,19.010000000000002,null,"Nuts/Seeds","Latin America & Caribbean",null,30,null,"Industrialized Asia","East Asia and Pacific","Cereals","Retail",0.02]
[null,"Bangladesh","Mangoes","Retail",14.6,null,"Botswana","Pulses & Grains","Storage",1.9554566666666662,null,"Carrots","Latin America & Caribbean","Processing",5.55,null,"Nuts/Seeds","South Asia",0,3.572352941176471,null,"Industrialized Asia","East Asia and Pacific","Fish and seafood",null,8.3999999999999991E-2]
[null,"Bangladesh","Oranges",0,7.5285714285714302,null,"Botswana","Pulses & Grains","Transport",1.0798433333333337,null,"Carrots","Middle East & North Africa",0,16,null,"Nuts/Seeds","South Asia","Storage",0.40916666666666668,null,"Industrialized Asia","East Asia and Pacific","Fish and seafood","Production",0.15]
[null,"Bangladesh","Oranges","Production",5.2,null,"Botswana","Pulses & Grains","Production",2.2180202619047629,null,"Carrots","North America",0,7.5,null,"Nuts/Seeds","South Asia","Transport",0.78999999999999992,null,"Industrialized Asia","East Asia and Pacific","Fish and seafood","Storage",0]
[null,"Bangladesh","Oranges","Retail",8.6999999999999993,null,"Botswana","Pulses & Grains",null,2.4520933333333326,null,"Carrots","North America","Retail",44.366666666666667,null,"Nuts/Seeds","South Asia","Production",1.1011764705882352,null,"Industrialized Asia","East Asia and Pacific","Fish and seafood","Transport",0]
[null,"Bangladesh","Rice",0,14.610312500000001,null,"Brazil","Fruits",0,28,null,"Cashew nuts","South Asia",0,4.0377777777777784,null,"Nuts/Seeds","Sub-Saharan Africa",0,7.0150000000000006,null,"Industrialized Asia","East Asia and Pacific","Fish and seafood","(blank)",0.05]
[null,"Bangladesh","Rice","Transport",9.6300000000000008,null,"Brazil","Pulses & Grains","Storage",15.5,null,"Cashew nuts","South Asia","Storage",0.11333333333333334,null,"Nuts/Seeds","Sub-Saharan Africa","Storage",18.5,null,"Industrialized Asia","East Asia and Pacific","Fish and seafood","Processing",0.06]
[null,"Bangladesh","Rice","Storage",8.7523076923076921,null,"Burkina Faso","",0,4.5502566666666668,null,"Cashew nuts","South Asia","Production",1.22,null,"Nuts/Seeds","Sub-Saharan Africa","Production",3.0750000000000002,null,"Industrialized Asia","East Asia and Pacific","Fish and seafood","Retail",0.11]
[null,"Bangladesh","Rice","Production",8.2581578947368435,null,"Burkina Faso",null,"Storage",2.5461538461538455,null,"Cashew nuts","South Asia","Transport",7.0000000000000007E-2,null,"Nuts/Seeds","Sub-Saharan Africa","Processing",10.678000000000001,null,"Industrialized Asia","East Asia and Pacific","Fruits and vegetables",null,8.6000000000000007E-2]
[null,"Bangladesh","Rice","Processing",1.2341249999999999,null,"Burkina Faso",null,"Transport",1,null,"Cocoa","Latin America & Caribbean",null,30,null,"Nuts/Seeds","Sub-Saharan Africa","Retail",2,null,"Industrialized Asia","East Asia and Pacific","Fruits and vegetables","Production",0.1]
[null,"Bangladesh","Rice","Retail",0.28750000000000003,null,"Burkina Faso",null,"Production",1.6817349556944443,null,"Cocoa","Sub-Saharan Africa",0,22.5,null,"Pulses & Grains","East Asia & Pacific",0,12.298030303030304,null,"Industrialized Asia","East Asia and Pacific","Fruits and vegetables","Storage",1.9636446650534531E-2]
[null,"Bangladesh","Tomatoes",0,11.336363636363636,null,"Burkina Faso",null,null,3.5,null,"Eggs","",0,4.666666666666667,null,"Pulses & Grains","East Asia & Pacific","Storage",3.9146640625,null,"Industrialized Asia","East Asia and Pacific","Fruits and vegetables","Transport",6.0363553349465464E-2]
[null,"Bangladesh","Tomatoes","Transport",15,null,"Burkina Faso","Pulses & Grains",0,5.1394520833333344,null,"Eggs",null,"Processing",0.5,null,"Pulses & Grains","East Asia & Pacific","Transport",7.3375000000000004,null,"Industrialized Asia","East Asia and Pacific","Fruits and vegetables","(blank)",0.11499999999999999]
[null,"Bangladesh","Tomatoes","Production",15.484,null,"Burkina Faso","Pulses & Grains","Storage",3.4501818181818207,null,"Eggs","Europe & Central Asia",0,4.45,null,"Pulses & Grains","East Asia & Pacific","Production",7.1735135135135124,null,"Industrialized Asia","East Asia and Pacific","Fruits and vegetables","Processing",0.02]
[null,"Bangladesh","Tomatoes","Processing",1.35,null,"Burkina Faso","Pulses & Grains","Transport",1.1624999999999999,null,"Eggs","Latin America & Caribbean",0,37.659999999999997,null,"Pulses & Grains","East Asia & Pacific","Processing",9.9037500000000005,null,"Industrialized Asia","East Asia and Pacific","Fruits and vegetables","Retail",0.08]
[null,"Bangladesh","Tomatoes","Retail",11.56,null,"Burkina Faso","Pulses & Grains","Production",2.2518762121212124,null,"Eggs","North America",0,2,null,"Pulses & Grains","East Asia & Pacific","Retail",0.79,null,"Industrialized Asia","East Asia and Pacific","Meat",null,4.4999999999999998E-2]
[null,"Bangladesh","Wheat",0,21.57,null,"Burkina Faso","Pulses & Grains",null,2.5142849999999988,null,"Eggs","South Asia",0,6.6050000000000004,null,"Pulses & Grains","Europe & Central Asia",0,6.1482539682539707,null,"Industrialized Asia","East Asia and Pacific","Meat","Production",2.9000000000000001E-2]
[null,"Bangladesh","Wheat","Transport",5.53,null,"Burundi","Pulses & Grains",0,4.6613320000000016,null,"Eggs","South Asia","Storage",1.155,null,"Pulses & Grains","Europe & Central Asia","Production",9.9196428571428577,null,"Industrialized Asia","East Asia and Pacific","Meat","Storage",1.9678068410462772E-3]
[null,"Bangladesh","Wheat","Storage",2.4775,null,"Burundi","Pulses & Grains","Production",2.6902823076923079,null,"Eggs","South Asia","Production",1.5099999999999998,null,"Pulses & Grains","Europe & Central Asia","Processing",6.5,null,"Industrialized Asia","East Asia and Pacific","Meat","Transport",4.0321931589537225E-3]
[null,"Bangladesh","Wheat","Production",16.313333333333333,null,"Burundi","Pulses & Grains",null,2.7114279999999984,null,"Eggs","South Asia","Transport",0.36,null,"Pulses & Grains","Latin America & Caribbean",0,15.021176470588234,null,"Industrialized Asia","East Asia and Pacific","Meat","(blank)",4.3000000000000003E-2]
[null,"Bangladesh",0,0,12.184583333333336,null,"Cambodia","",0,21.8,null,"Grapes","Europe & Central Asia",0,2.0783333333333336,null,"Pulses & Grains","Latin America & Caribbean","Storage",5.5133333333333328,null,"Industrialized Asia","East Asia and Pacific","Meat","Processing",0.05]
[null,"Bangladesh",0,"Production",7.4530000000000003,null,"Cambodia","Fruits",0,10.533333333333333,null,"Grapes","Latin America & Caribbean",0,45.53,null,"Pulses & Grains","Latin America & Caribbean","Production",7.9757142857142851,null,"Industrialized Asia","East Asia and Pacific","Meat","Retail",0.06]
[null,"Bangladesh",0,"Retail",7.1519999999999992,null,"Cambodia","Fruits","Production",12.5,null,"Grapes","Middle East & North Africa",0,14.408333333333331,null,"Pulses & Grains","Latin America & Caribbean",null,15.97777777777778,null,"Industrialized Asia","East Asia and Pacific","Milk",null,2.24E-2]
[null,"Bangladesh","Pineapples",0,18.859999999999996,null,"Cambodia","Fruits","Retail",3.5,null,"Grapes","Middle East & North Africa","Production",13.8,null,"Pulses & Grains","Latin America & Caribbean","Processing",3.4,null,"Industrialized Asia","East Asia and Pacific","Milk","Production",3.5000000000000003E-2]
[null,"Bangladesh","Pineapples","Production",10.4,null,"Cameroon","",0,35,null,"Grapes","Middle East & North Africa","Processing",19,null,"Pulses & Grains","Middle East & North Africa",0,8.8270370370370355,null,"Industrialized Asia","East Asia and Pacific","Milk","Storage",3.279678068410462E-3]
[null,"Bangladesh","Pineapples","Retail",6.97,null,"Cameroon","Fruits",0,38,null,"Grapes","Middle East & North Africa","Retail",12.8,null,"Pulses & Grains","Middle East & North Africa","Storage",6.4213636363636377,null,"Industrialized Asia","East Asia and Pacific","Milk","Transport",6.7203219315895369E-3]
[null,"Bangladesh","Broccoli",0,14.679999999999998,null,"Cameroon","Fruits","Storage",8,null,"Grapes","North America",0,9,null,"Pulses & Grains","Middle East & North Africa","Transport",0.19374999999999998,null,"Industrialized Asia","East Asia and Pacific","Milk","(blank)",3.0000000000000002E-2]
[null,"Bangladesh","Broccoli","Production",4.2,null,"Cameroon","Fruits","Transport",8,null,"Grapes","North America","Retail",8.6999999999999993,null,"Pulses & Grains","Middle East & North Africa","Production",5.7800000000000011,null,"Industrialized Asia","East Asia and Pacific","Milk","Processing",1.2E-2]
[null,"Bangladesh","Broccoli","Retail",10.7,null,"Cameroon","Fruits","Production",15.5,null,"Grapes","South Asia",0,5.12,null,"Pulses & Grains","Middle East & North Africa","Processing",1.1033333333333333,null,"Industrialized Asia","East Asia and Pacific","Milk","Retail",5.0000000000000001E-3]
[null,"Bangladesh","Cucumbers",0,11.5,null,"Cameroon","Fruits","Processing",3,null,"Grapes","South Asia","Storage",0.84599999999999986,null,"Pulses & Grains","South Asia",0,7.7003431372549,null,"Industrialized Asia","East Asia and Pacific","Oilseeds and pulses",null,3.7999999999999999E-2]
[null,"Bangladesh","Cucumbers","Production",7.2,null,"Cameroon","Pulses & Grains",0,4.7744433333333332,null,"Grapes","South Asia","Production",2.456,null,"Pulses & Grains","South Asia","Storage",3.2429999999999999,null,"Industrialized Asia","East Asia and Pacific","Oilseeds and pulses","Production",0.06]
[null,"Bangladesh","Cucumbers","Retail",4.7,null,"Cameroon","Pulses & Grains","Production",2.3512992037037037,null,"Grapes","South Asia","Transport",3.09,null,"Pulses & Grains","South Asia","Transport",3.8819999999999992,null,"Industrialized Asia","East Asia and Pacific","Oilseeds and pulses","Storage",2.3736077024730979E-2]
[null,"Benin","Maize",0,8.6231000000000009,null,"Cameroon","Pulses & Grains",null,2.15238,null,"Grapes","South Asia","Retail",6.5,null,"Pulses & Grains","South Asia","Production",3.9224456521739124,null,"Industrialized Asia","East Asia and Pacific","Oilseeds and pulses","Transport",6.2639229752690191E-3]
[null,"Benin","Maize","Transport",1.6499999999999997,null,"Canada","",0,44,null,"Grapes","Sub-Saharan Africa",0,10.015000000000001,null,"Pulses & Grains","South Asia","Processing",1.8672999999999997,null,"Industrialized Asia","East Asia and Pacific","Oilseeds and pulses","(blank)",3.5000000000000003E-2]
[null,"Benin","Maize","Storage",2.9230769230769225,null,"Canada","Animal Protein","Retail",3.5,null,"Grapes","Sub-Saharan Africa","Storage",7.1859999999999999,null,"Pulses & Grains","South Asia","Retail",2.0124999999999997,null,"Industrialized Asia","East Asia and Pacific","Oilseeds and pulses","Processing",0.05]
[null,"Benin","Maize","Production",3.8868883783783779,null,"Chad","Pulses & Grains",0,4.6613320000000016,null,"Lentils","South Asia",0,7.14,null,"Pulses & Grains","Sub-Saharan Africa",0,4.9689685090521811,null,"Industrialized Asia","East Asia and Pacific","Oilseeds and pulses","Retail",0.01]
[null,"Benin","Maize",null,1.32,null,"Chad","Pulses & Grains","Production",1.9766376153846159,null,"Lentils","Sub-Saharan Africa",0,16,null,"Pulses & Grains","Sub-Saharan Africa","Storage",3.5948227180355885,null,"Industrialized Asia","East Asia and Pacific","Roots and tubers",null,0.122]
[null,"Benin","Mangoes",0,31.2,null,"Chad","Pulses & Grains",null,2.7114279999999984,null,"Maize","",0,13.883333333333333,null,"Pulses & Grains","Sub-Saharan Africa","Transport",1.1549404180418019,null,"Industrialized Asia","East Asia and Pacific","Roots and tubers","Production",0.2]
[null,"Benin","Mangoes","Retail",49.5,null,"Chile","Fruits","Production",13,null,"Maize",null,"Storage",4.5,null,"Pulses & Grains","Sub-Saharan Africa","Production",2.4678849734453454,null,"Industrialized Asia","East Asia and Pacific","Roots and tubers","Storage",3.7106540439233032E-2]
[null,"Benin","Oranges",0,26.3,null,"Chile","Tubers/Root Crops",0,1.3,null,"Maize","East Asia & Pacific",0,9.6983333333333324,null,"Pulses & Grains","Sub-Saharan Africa",null,2.6046854513888751,null,"Industrialized Asia","East Asia and Pacific","Roots and tubers","Transport",3.2893459560766974E-2]
[null,"Benin","Oranges","Production",10,null,"Chile","Tubers/Root Crops","Storage",5.7,null,"Maize","East Asia & Pacific","Storage",3.461818181818181,null,"Pulses & Grains","Sub-Saharan Africa","Processing",5.9989583333333316,null,"Industrialized Asia","East Asia and Pacific","Roots and tubers","(blank)",8.5000000000000006E-2]
[null,"Benin","Oranges","Retail",30.95,null,"China","",0,5.625,null,"Maize","East Asia & Pacific","Production",7.5972727272727267,null,"Pulses & Grains","Sub-Saharan Africa","Retail",1.6709090909090909,null,"Industrialized Asia","East Asia and Pacific","Roots and tubers","Processing",0.15]
[null,"Benin","Peppers",0,12.1,null,"China",null,"Storage",10.7875,null,"Maize","East Asia & Pacific","Transport",7.95,null,"Tubers/Root Crops","East Asia & Pacific",0,17.149999999999999,null,"Industrialized Asia","East Asia and Pacific","Roots and tubers","Retail",0.09]
[null,"Benin","Peppers","Production",10.45,null,"China",null,"Production",5,null,"Maize","East Asia & Pacific","Processing",11,null,"Tubers/Root Crops","East Asia & Pacific","Storage",20,null,"Latin America","Latin America and Caribbean","Cereals",null,5.6000000000000008E-2]
[null,"Benin","Peppers","Retail",9.5,null,"China",null,"Processing",2.75,null,"Maize","Europe & Central Asia",0,0.13,null,"Tubers/Root Crops","East Asia & Pacific","Production",5.5,null,"Latin America","Latin America and Caribbean","Cereals","Production",0.06]
[null,"Benin","Rice",0,7.061655,null,"China","Animal Protein",0,3,null,"Maize","Latin America & Caribbean",0,14.5525,null,"Tubers/Root Crops","East Asia & Pacific","Processing",3,null,"Latin America","Latin America and Caribbean","Cereals","Storage",2.9712269801762371E-2]
[null,"Benin","Rice","Transport",1,null,"China","Animal Protein","Storage",3.1,null,"Maize","Latin America & Caribbean","Storage",23.400000000000002,null,"Tubers/Root Crops","Europe & Central Asia",0,12.588538461538461,null,"Latin America","Latin America and Caribbean","Cereals","Transport",1.0287730198237624E-2]
[null,"Benin","Rice","Storage",2.6299999999999994,null,"China","Animal Protein","Production",5.35,null,"Maize","Latin America & Caribbean","Production",12.276666666666666,null,"Tubers/Root Crops","Europe & Central Asia","Storage",5.12,null,"Latin America","Latin America and Caribbean","Cereals","(blank)",7.0000000000000007E-2]
[null,"Benin","Rice","Production",1.9311111111111112,null,"China","Animal Protein","Processing",1.1000000000000001,null,"Maize","Latin America & Caribbean",null,15.542857142857143,null,"Tubers/Root Crops","Europe & Central Asia","Production",13.28891304347826,null,"Latin America","Latin America and Caribbean","Cereals","Processing",0.04]
[null,"Benin","Rice",null,3.13714,null,"China","Pulses & Grains",0,8.9034999999999993,null,"Maize","Latin America & Caribbean","Processing",3.4,null,"Tubers/Root Crops","Europe & Central Asia","Processing",8.072571428571429,null,"Latin America","Latin America and Caribbean","Cereals","Retail",0.04]
[null,"Benin","Sorghum",0,5.9294374999999997,null,"China","Pulses & Grains","Storage",2.4867009345794386,null,"Maize","Middle East & North Africa",0,15,null,"Tubers/Root Crops","Europe & Central Asia","Retail",2.25,null,"Latin America","Latin America and Caribbean","Fish and seafood",null,6.7400000000000002E-2]
[null,"Benin","Sorghum","Transport",1,null,"China","Pulses & Grains","Transport",0.9,null,"Maize","Middle East & North Africa","Storage",15,null,"Tubers/Root Crops","Latin America & Caribbean",0,12.164099999999999,null,"Latin America","Latin America and Caribbean","Fish and seafood","Production",5.7000000000000002E-2]
[null,"Benin","Sorghum","Storage",2.6499999999999995,null,"China","Pulses & Grains","Production",1.5124999999999997,null,"Maize","South Asia",0,4.0645454545454545,null,"Tubers/Root Crops","Latin America & Caribbean","Storage",5.7,null,"Latin America","Latin America and Caribbean","Fish and seafood","Storage",0]
[null,"Benin","Sorghum","Production",2.1666699999999999,null,"China","Pulses & Grains","Processing",1.73,null,"Maize","South Asia","Storage",4.504545454545454,null,"Tubers/Root Crops","Latin America & Caribbean","Production",12.4825,null,"Latin America","Latin America and Caribbean","Fish and seafood","Transport",0]
[null,"Benin","Sorghum",null,3.600000000000001,null,"China","Pulses & Grains","Retail",0.79,null,"Maize","South Asia","Production",1.3014285714285714,null,"Tubers/Root Crops","Latin America & Caribbean",null,24,null,"Latin America","Latin America and Caribbean","Fish and seafood","(blank)",4.4999999999999998E-2]
[null,"Benin","Tomatoes",0,27.1,null,"China","Tubers/Root Crops",0,3.3,null,"Maize","South Asia","Transport",4.0566666666666675,null,"Tubers/Root Crops","Latin America & Caribbean","Processing",3.4233333333333333,null,"Latin America","Latin America and Caribbean","Fish and seafood","Processing",0.09]
[null,"Benin","Tomatoes","Production",39.5,null,"China","Tubers/Root Crops","Storage",20,null,"Maize","Sub-Saharan Africa",0,6.8427289958159294,null,"Tubers/Root Crops","Middle East & North Africa",0,22,null,"Latin America","Latin America and Caribbean","Fish and seafood","Retail",0.1]
[null,"Benin","Tomatoes","Retail",27.2,null,"Colombia","",0,17.670000000000002,null,"Maize","Sub-Saharan Africa","Storage",5.2428329809725334,null,"Tubers/Root Crops","North America",0,7.25,null,"Latin America","Latin America and Caribbean","Fruits and vegetables",null,0.14399999999999999]
[null,"Benin",0,0,3.5,null,"Colombia",null,"Storage",3.1,null,"Maize","Sub-Saharan Africa","Production",3.7316084325108809,null,"Tubers/Root Crops","North America","Retail",44.366666666666667,null,"Latin America","Latin America and Caribbean","Fruits and vegetables","Production",0.2]
[null,"Benin","Millet","Production",2.0583333333333327,null,"Costa Rica","Fruits","Retail",7.5,null,"Maize","Sub-Saharan Africa","Retail",1.8644444444444441,null,"Tubers/Root Crops","South Asia","Production",2.3136363636363635,null,"Latin America","Latin America and Caribbean","Fruits and vegetables","Processing",0.2]
[null,"Botswana","Sorghum","Transport",1,null,"Denmark","Vegetables",0,22.3,null,"Mangoes","Sub-Saharan Africa","Transport",10.6,null,null,null,null,null,null,"Latin America","Latin America and Caribbean","Oilseeds and pulses","Storage",2.3736077024730979E-2]
[null,"Brazil","Mangoes",0,28,null,"Ecuador","Pulses & Grains",null,20,null,"Meat (Cattle)","Europe & Central Asia",0,5.5,null,null,null,null,null,null,"Latin America","Latin America and Caribbean","Roots and tubers","(blank)",9.0000000000000011E-2]
[null,"Burkina Faso","Sorghum","Transport",1,null,"Eritrea","Pulses & Grains","Production",2.4818746363636355,null,"Milk (cattle)","",0,2.875,null,null,null,null,null,null,"North Africa, West and Central Asia","Middle East & North Africa","Fish and seafood","Transport",0]
[null,"Burkina Faso","Millet",0,3.5,null,"Ethiopia","Pulses & Grains",0,4.2801783870967753,null,"Milk (cattle)","Sub-Saharan Africa",0,8,null,null,null,null,null,null,"North Africa, West and Central Asia","Middle East & North Africa","Fruits and vegetables","Processing",0.2]
[null,"Burundi","Rice","Production",1.6500000000000004,null,"Fiji","Fruits","Transport",0.13,null,"Oranges","Sub-Saharan Africa","Production",6.1,null,null,null,null,null,null,"North Africa, West and Central Asia","Middle East & North Africa","Milk",null,4.2999999999999997E-2]
[null,"Cameroon","Bananas","Storage",8,null,"Ghana",null,"Production",14.114000000000001,null,"Potatoes","Europe & Central Asia",0,10.471269230769231,null,null,null,null,null,null,"North Africa, West and Central Asia","Middle East & North Africa","Roots and tubers","Transport",4.6990656515381389E-2]
[null,"Cameroon","Maize","Production",4.320584444444445,null,"Ghana","Fruits",0,14.500000000000002,null,"Potatoes","Europe & Central Asia","Retail",2.25,null,null,null,null,null,null,"North America and Oceania","Oceania","Cereals",null,5.6000000000000008E-2]
[null,"Chad","Maize",null,1.32,null,"Ghana","Pulses & Grains","Processing",7.2629999999999981,null,"Potatoes","Sub-Saharan Africa","Storage",13.491666666666667,null,null,null,null,null,null,"North America and Oceania","Oceania","Fish and seafood","Retail",0.09]
[null,"China","Meat (Cattle)","Storage",3.1,null,"Guinea-Bissau","Pulses & Grains",0,4.7183325000000007,null,"Rice","South Asia","Storage",5.713333333333332,null,null,null,null,null,null,"North America and Oceania","Oceania","Milk","Retail",5.0000000000000001E-3]
[null,"China","Rice","Production",1.625,null,"Haiti","Fruits","Processing",20,null,"Rice","Sub-Saharan Africa","Transport",1.0054012345679013,null,null,null,null,null,null,"North America and Oceania","Oceania","Roots and tubers","Production",0.2]
[null,"Colombia",0,"Retail",3,null,"India","Animal Protein","Storage",0.64799999999999991,null,"Sorghum","Sub-Saharan Africa","Production",2.1976653601969112,null,null,null,null,null,null,"North America and Oceania","North America","Fish and seafood",null,0.121]
[null,"Cuba",0,"Processing",1.1214285714285714,null,"India","Nuts/Seeds","Storage",0.40916666666666668,null,"Soybeans","South Asia","Production",1.2274999999999998,null,null,null,null,null,null,"North America and Oceania","North America","Fruits and vegetables","Storage",9.8182233252672654E-3]
[null,"Democratic Republic of the Congo","Maize",0,6.4200000000000008,null,"India","Tubers/Root Crops","Storage",0.21799999999999997,null,"Sunflower seeds","South Asia","Production",0.85428571428571431,null,null,null,null,null,null,"North America and Oceania","North America","Meat","(blank)",0.06]
[null,"Democratic Republic of the Congo","Millet",null,2,null,"Indonesia","Fruits",0,30,null,"Tomatoes","East Asia & Pacific","Production",16.033999999999999,null,null,null,null,null,null,"North America and Oceania","North America","Oilseeds and pulses","Storage",0]
[null,"Denmark","Peas (dry)","Production",18,null,"Iran (Islamic Republic of)","Pulses & Grains","Production",1.24,null,"Tomatoes","Latin America & Caribbean",null,22.466666666666669,null,null,null,null,null,null,"North America and Oceania","North America","Roots and tubers","(blank)",0.2]
[null,"Ecuador","Beans (dry)","Production",10,null,"Kenya",null,"Processing",0.1,null,"Tomatoes","South Asia","Retail",11.708333333333334,null,null,null,null,null,null,"South and Southeast Asia","East Asia and Pacific","Fish and seafood","Transport",0]
[null,"Eritrea","Sorghum",0,4.5499999999999989,null,"Lesotho","Pulses & Grains",0,5.1686747222222227,null,"Wheat","Middle East & North Africa","Processing",1.1033333333333333,null,null,null,null,null,null,"South and Southeast Asia","East Asia and Pacific","Milk","Transport",4.0321931589537223E-2]
[null,"Ethiopia","Bananas",0,15.850000000000001,null,"Madagascar",null,"Transport",2.5,null,"Wheat","Sub-Saharan Africa",null,3.5,null,null,null,null,null,null,"South and Southeast Asia","East Asia and Pacific","Oilseeds and pulses","Processing",0.08]
[null,"Ethiopia","Maize","Storage",3.7140350877192989,null,"Malawi","Pulses & Grains","Production",2.7517169490909104,null,0,"East Asia & Pacific","Retail",17,null,null,null,null,null,null,"Sub-Saharan Africa","Sub-Saharan Africa","Cereals","Storage",5.9424539603524743E-2]
[null,"Ethiopia","Rice","Production",1.5904468181818185,null,"Mali","Pulses & Grains",null,2.7114279999999984,null,0,"Latin America & Caribbean","Production",20,null,null,null,null,null,null,"Sub-Saharan Africa","Sub-Saharan Africa","Fish and seafood","Processing",0.09]
[null,"Ethiopia",0,0,4.8900000000000006,null,"Mexico","Pulses & Grains","Processing",3.5,null,0,"South Asia","Storage",0.5964383561643839,null,null,null,null,null,null,"Sub-Saharan Africa","Sub-Saharan Africa","Meat","(blank)",1.35E-2]
[null,"Ethiopia","Millet","Production",1.8661158333333334,null,"Morocco","Pulses & Grains","Storage",2.83,null,0,"Sub-Saharan Africa","Processing",9.0216666666666665,null,null,null,null,null,null,"Sub-Saharan Africa","Sub-Saharan Africa","Milk","Retail",0.1]
[null,"France",0,"Storage",1.5,null,"Mozambique","Pulses & Grains","Production",2.9970553925925931,null,"#N/A","South Asia","Transport",2.57,null,null,null,null,null,null,"Sub-Saharan Africa","Sub-Saharan Africa","Roots and tubers","Production",0.14000000000000001]
[null,"Gambia","Sorghum",0,4.5499999999999989,null,"Nepal","Fruits","Processing",0.6,null,"Garlic (green)","Latin America & Caribbean",0,21.35]
[null,"Ghana","Meat (Chicken)","Production",1.8,null,"Nigeria",null,"Retail",7,null,"Millet","Sub-Saharan Africa","Retail",0.7]
[null,"Ghana","Oranges","Retail",2.8,null,"Nigeria","Fruits","Production",20,null,"Pineapples","Latin America & Caribbean","Processing",3.15]
[null,"Ghana",0,"Transport",0.5,null,"Norway","Tubers/Root Crops","Production",2.9000000000000004,null,"Quinoa","Latin America & Caribbean",0,5]
[null,"Ghana","Millet","Processing",0.3,null,"Pakistan","Fruits","Storage",3.4888888888888889,null,"Avocadoes","Europe & Central Asia","Retail",3.75]
[null,"Ghana","Cassava (fresh)","Processing",11.293749999999999,null,"Panama","Tubers/Root Crops",null,24,null,"Peanuts","Sub-Saharan Africa","Processing",1.5]
[null,"Guatemala","Beans (dry)","Production",14.72,null,"Philippines",null,"Transport",10.025,null,"Beans (dry)","South Asia","Retail",23.174999999999997]
[null,"Guinea","Sorghum","Production",2.4305549999999996,null,"Republic of Korea","Pulses & Grains",0,16.816666666666666,null,"Cassava (fresh)","East Asia & Pacific","Processing",0.505]
[null,"Guinea-Bissau","Millet",0,3.5,null,"Saint Lucia","Fruits","Retail",3.5,null,"Broccoli","East Asia & Pacific","Retail",28]
[null,"Honduras","Beans (dry)","Production",13.01,null,"Senegal","Pulses & Grains",null,2.5142849999999988,null,"Cucumbers","North America","Retail",12.2]
[null,"India","Bananas","Production",2.1375000000000002,null,"Somalia","Pulses & Grains","Transport",1.3249999999999995,null,"Onions (fresh)","Europe & Central Asia","Storage",11.178571428571429]
[null,"India","Lentils",0,7.14,null,"South Africa","Pulses & Grains","Storage",1.6374999999999991,null,"Onions (fresh)","Sub-Saharan Africa",0,23.5]
[null,"India","Mangoes","Retail",8.3000000000000007,null,"Sri Lanka","",0,11.083333333333334,null,"Strawberries","Europe & Central Asia","Processing",2.5]
[null,"India","Potatoes","Storage",0.26166666666666666,null,"Sweden","Pulses & Grains",0,9.7727272727272734,null,"Watermelons","North America",0,10]
[null,"India","Sorghum","Storage",0.40499999999999997,null,"Sweden","Vegetables","Production",10.199999999999999,null,"Raspberries","Europe & Central Asia","Production",2]
[null,"India","Sugar cane","Storage",0.1525,null,"Thailand",null,"Processing",0.01]
[null,"India","Wheat","Storage",0.28500000000000003,null,"Togo",null,null,3.5]
[null,"India","Peas (dry)",0,7.45,null,"Uganda",null,"Production",3.33]
[null,"India","Cucumbers","Retail",7.1,null,"Ukraine","",0,7.5]
[null,"Indonesia","Maize","Production",3.27,null,"Ukraine","Pulses & Grains","Production",9.28125]
[null,"Iran (Islamic Republic of)","Wheat","Storage",0.15,null,"United Republic of Tanzania","Fruits",0,20.063636363636366]
[null,"Kenya","Bananas","Production",35.5,null,"United Republic of Tanzania","Tubers/Root Crops",0,34.15]
[null,"Kenya","Mangoes","Processing",16.25,null,"Venezuela (Bolivarian Republic of)",null,"Production",20]
[null,"Kenya","Potatoes",0,5.3454545454545448,null,"Venezuela (Bolivarian Republic of)","Vegetables",0,39]
[null,"Kenya","Sorghum","Storage",2.6499999999999995,null,"Zimbabwe","Pulses & Grains",0,4.6793527777777788]
[null,"Lesotho","Maize",0,6.4200000000000008,null,"Sub-Saharan Africa",null,"Production",9.5]
[null,"Liberia","Rice",null,3.13714,null,"Finland","Pulses & Grains",0,7.6566666666666663]
[null,"Madagascar","Sorghum",0,1.5,null,"South-Eastern Asia",null,"Production",12]
[null,"Malawi","Rice","Storage",2.6499816666666662,null,"Australia","Vegetables","Retail",28]
[null,"Malawi","Sorghum",null,3.600000000000001,null,"Latin America and the Caribbean","",0,11]
[null,"Malawi","Millet",0,3.5,null,"Eswatini","Pulses & Grains","Production",3.1370230555555558]
[null,"Mali","Sorghum",0,4.5499999999999989,null,"United Kingdom of Great Britain and Northern Ireland","Fruits","Retail",2.5499999999999998]
[null,"Mali","Millet",0,3.5,null,"United Kingdom of Great Britain and Northern Ireland","Vegetables",null,0.75]
[null,"Mexico","Eggs",0,37.659999999999997]
[null,"Mexico","Sorghum",0,1.5]
[null,"Mexico","Avocadoes",0,3.9]
[null,"Morocco","Apples",0,14]
[null,"Mozambique","Maize","Production",5.4987730769230776]
[null,"Mozambique","Sorghum",0,4.5377175000000003]
[null,"Myanmar","Rice","Storage",7.666666666666667]
[null,"Namibia","Millet",0,2.0021899999999997]
[null,"Nepal","Broccoli","Retail",27.4]
[null,"Niger","Rice","Production",1.2833333333333337]
[null,"Niger","Millet","Production",1.69451]
[null,"Nigeria","Peppers","Transport",12.5]
[null,"Nigeria","Tomatoes","Transport",28]
[null,"Nigeria","Millet","Production",1.5252380555555558]
[null,"Norway",0,0,1.5]
[null,"Pakistan","Sorghum","Storage",1.8840000000000003]
[null,"Panama","Tomatoes",null,24]
[null,"Philippines","Maize",0,10.538]
[null,"Philippines","Tomatoes",0,5.7015000000000011]
[null,"Republic of Korea","Maize","Storage",13]
[null,"Republic of Korea","Wheat","Transport",15]
[null,"Rwanda","Rice","Storage",4.72]
[null,"Rwanda","Tomatoes","Production",6.35]
[null,"Rwanda","Pineapples","Retail",11.5]
[null,"Senegal","Maize","Transport",1.6499999999999997]
[null,"Senegal","Sorghum",null,3.600000000000001]
[null,"Senegal","Millet","Production",1.101175361111111]
[null,"Somalia","Maize",0,9.0495166666666673]
[null,"Somalia","Sorghum","Storage",2.6499999999999995]
[null,"South Africa","Grapes","Storage",7.1859999999999999]
[null,"South Africa","Wheat","Storage",1.3000000000000003]
[null,"South Sudan","Maize","Transport",1.4814799999999997]
[null,"Sweden","Carrots","Processing",16.5]
[null,"Sweden","Onions (fresh)","Storage",17]
[null,"Syrian Arab Republic","Maize",0,15]
[null,"Thailand",0,"Retail",1.5]
[null,"Timor-Leste","Rice","Processing",0.5]
[null,"Togo","Sorghum",null,3.600000000000001]
[null,"Trinidad and Tobago","Tomatoes","Retail",12]
[null,"Turkey",0,"Processing",10]
[null,"Uganda","Rice","Transport",1]
[null,"Uganda","Wheat","Storage",2.6499999999999995]
[null,"Uganda","Beans (dry)","Production",2.2899999999999996]
[null,"Ukraine",0,0,7.5]
[null,"United Republic of Tanzania","Maize","Retail",1.65]
[null,"United Republic of Tanzania","Sorghum",0,4.3153846153846143]
[null,"United Republic of Tanzania","Wheat",0,4.4333299999999989]
[null,"United Republic of Tanzania","Millet","Production",1.9144952777777777]
[null,"United States of America","Peppers",0,8]
[null,"United States of America","Lemons","Retail",9.5500000000000007]
[null,"United States of America","Pears",0,5]
[null,"United States of America","Asparagus",0,9]
[null,"Viet Nam",0,"Transport",0.5]
[null,"Zambia","Maize","Production",3.6001894444444442]
[null,"Zambia","Sorghum","Production",2.970440416666666]
[null,"Zambia","Millet","Transport",1]
[null,"Zimbabwe","Sorghum",null,3.600000000000001]
[null,"Europe","Meat (Cattle)",0,4.7249999999999996]
[null,"Sub-Saharan Africa","Wheat","Storage",4]
[null,"Finland","Meat (Cattle)","Processing",7.875]
[null,"Finland",0,"Processing",3]
[null,"Southern Asia",0,"Production",12]
[null,"Australia","Tomatoes","Production",28.833333333333332]
[null,"Australia","Beans (dry)",0,25]
[null,"CÃ´te d'Ivoire","Sorghum",null,3.600000000000001]
[null,"United Kingdom of Great Britain and Northern Ireland","Apples","Production",15]
[null,"United Kingdom of Great Britain and Northern Ireland","Potatoes","Storage",4]
[null,"United Kingdom of Great Britain and Northern Ireland","Lettuce","Production",7.5]
[null,"United Kingdom of Great Britain and Northern Ireland","Avocadoes",0,12]
[null,"United Kingdom of Great Britain and Northern Ireland","Avocadoes","Storage",5]
[null,"United Kingdom of Great Britain and Northern Ireland","Avocadoes","Production",30]
[null,"United Kingdom of Great Britain and Northern Ireland","Avocadoes",null,3.75]
[null,"United Kingdom of Great Britain and Northern Ireland","Avocadoes","Processing",3]
[null,"United Kingdom of Great Britain and Northern Ireland","Avocadoes","Retail",3.75]
[null,"United Kingdom of Great Britain and Northern Ireland","Broccoli",0,11.5]
[null,"United Kingdom of Great Britain and Northern Ireland","Broccoli","Production",6.5]
[null,"United Kingdom of Great Britain and Northern Ireland","Broccoli","Retail",2.25]
[null,"United Kingdom of Great Britain and Northern Ireland","Onions (fresh)",0,6.5]
[null,"United Kingdom of Great Britain and Northern Ireland","Onions (fresh)","Storage",6.5]
[null,"United Kingdom of Great Britain and Northern Ireland","Onions (fresh)","Production",9.25]
[null,"United Kingdom of Great Britain and Northern Ireland","Onions (fresh)",null,0.75]
[null,"United Kingdom of Great Britain and Northern Ireland","Onions (fresh)","Retail",0.75]
[null,"United Kingdom of Great Britain and Northern Ireland","Strawberries",0,3.4166666666666665]
[null,"United Kingdom of Great Britain and Northern Ireland","Strawberries","Storage",0.5]
[null,"United Kingdom of Great Britain and Northern Ireland","Strawberries","Production",2]
[null,"United Kingdom of Great Britain and Northern Ireland","Strawberries","Processing",2.5]
[null,"United Kingdom of Great Britain and Northern Ireland","Strawberries","Retail",3]
[null,"United Kingdom of Great Britain and Northern Ireland","Raspberries",0,2.8333333333333335]
[null,"United Kingdom of Great Britain and Northern Ireland","Raspberries","Production",2]
[null,"United Kingdom of Great Britain and Northern Ireland","Raspberries","Processing",2.5]
[null,"United Kingdom of Great Britain and Northern Ireland","Raspberries","Retail",2.5]
[null,"United Kingdom of Great Britain and Northern Ireland","Blueberries",0,5]
[null,"Palestine","Tomatoes",0,7.5]
[null,"Palestine","Tomatoes","Retail",4]
[null,"Palestine",0,0,8]
[null,"Palestine",0,"Retail",20]
[null,"Palestine","Avocadoes","Transport",9]
[null,"Palestine","Avocadoes",null,21]
[null,"Palestine","Avocadoes","Retail",16]

{"sheet":"FL-FAO-db","index":17,"n_rows":32789,"n_cols":26,"rows_kept":281,"cut":true,"hidden":true,"merged":[],"bounds":{"rows_first":125,"rows_last":31,"rows_between":125,"halvings":4}}
["FAO data"]
["Source (updated November 2024):","www.fao.org/food-loss-and-food-waste/flw-data/en/"]
[]
[]
["FAO data"]
["Calculated fields"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Additional fields >>"]
["m49_code","country","region","cpc_code","commodity","year","loss_percentage","loss_percentage_original","loss_quantity","activity","food_supply_stage","treatment","cause_of_loss","sample_size","method_data_collection","reference","url","notes","Region4","WB region","UN sub-region","FAO region","IFC Commodity","IFC Category","FAO category","IFC Supply Chain Stage"]
[104,"Myanmar",null,23161.02,"Rice, milled",2015,1.78,1.78E-2,"26.12kgs","Storage","Storage","30 days storage, with trapping","Rodents",null,"Controlled Experiment","Dr Steven Belmain (2015), context post-harvest losses by rodents have traditionally been calculated by estimates of consumption determined in the laboratory methods for assessing storage losses by rodents under small-holder conditions will help farmers and policy makers understand the impact rodents may have on food security, nutrition and health stored product loss assessment methods could also be used to monitor the effects of rodent control in villages aims the present study examined a method to measure the amount of rice eaten by rodents in household granaries the effects of trapping and better hygiene around granaries to reduce rodent populations were investigated using the post-harvest monitoring method to determine whether the programme was successful in lowering rodent numbers sufficiently to reduce post-harvest losses methods baskets with known quantities of rice were placed within household granaries and periodically monitored for moisture content, weight loss, faecal contamination and percentage of rodent-damaged grains using an empirical treatment-control study, rodent management was carried out at the community level through daily trapping in two bangladesh villages and in myanmar at the granary storehouse level post-harvest losses were monitored in villages/granaries with rodent management and in similar villages/granaries where there was no management key results estimates of household losses in the absence of rodent control were 25% in bangladesh and 17% in myanmar these losses were reduced when rodent control was implemented, down to 05% in bangladesh and 5% in myanmar conclusions the impact of rodents on small-holder storage can be accurately assessed in the field under realistic conditions intensive daily trapping at the community level together with improved hygiene practices can successfully reduce rodent numbers and this can significantly reduce stored grain losses and rodent contamination and damage levels implications in addition to the threat of rodent pests during crop production, rodents are a major threat to food security after harvest and have, as of yet, unquantified impacts on household nutrition and health through potential transmission of gastro-enteric diseases and zoonoses to householders",null," Reference has been generated automatically",{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"East Asia & Pacific"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"South-eastern Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"South and Southeast Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[104,"Myanmar",null,23161.02,"Rice, milled",2015,11.77,0.1177,"88.18kgs","Storage","Storage","60 days storage, no trapping","Rodents",null,"Controlled Experiment","Dr Steven Belmain (2015), context post-harvest losses by rodents have traditionally been calculated by estimates of consumption determined in the laboratory methods for assessing storage losses by rodents under small-holder conditions will help farmers and policy makers understand the impact rodents may have on food security, nutrition and health stored product loss assessment methods could also be used to monitor the effects of rodent control in villages aims the present study examined a method to measure the amount of rice eaten by rodents in household granaries the effects of trapping and better hygiene around granaries to reduce rodent populations were investigated using the post-harvest monitoring method to determine whether the programme was successful in lowering rodent numbers sufficiently to reduce post-harvest losses methods baskets with known quantities of rice were placed within household granaries and periodically monitored for moisture content, weight loss, faecal contamination and percentage of rodent-damaged grains using an empirical treatment-control study, rodent management was carried out at the community level through daily trapping in two bangladesh villages and in myanmar at the granary storehouse level post-harvest losses were monitored in villages/granaries with rodent management and in similar villages/granaries where there was no management key results estimates of household losses in the absence of rodent control were 25% in bangladesh and 17% in myanmar these losses were reduced when rodent control was implemented, down to 05% in bangladesh and 5% in myanmar conclusions the impact of rodents on small-holder storage can be accurately assessed in the field under realistic conditions intensive daily trapping at the community level together with improved hygiene practices can successfully reduce rodent numbers and this can significantly reduce stored grain losses and rodent contamination and damage levels implications in addition to the threat of rodent pests during crop production, rodents are a major threat to food security after harvest and have, as of yet, unquantified impacts on household nutrition and health through potential transmission of gastro-enteric diseases and zoonoses to householders",null," Reference has been generated automatically",{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"East Asia & Pacific"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"South-eastern Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"South and Southeast Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[104,"Myanmar",null,23161.02,"Rice, milled",2015,5.88,5.8799999999999998E-2,"44.09kgs","Storage","Storage","30 days storage, no trapping","Rodents",null,"Controlled Experiment","Dr Steven Belmain (2015), context post-harvest losses by rodents have traditionally been calculated by estimates of consumption determined in the laboratory methods for assessing storage losses by rodents under small-holder conditions will help farmers and policy makers understand the impact rodents may have on food security, nutrition and health stored product loss assessment methods could also be used to monitor the effects of rodent control in villages aims the present study examined a method to measure the amount of rice eaten by rodents in household granaries the effects of trapping and better hygiene around granaries to reduce rodent populations were investigated using the post-harvest monitoring method to determine whether the programme was successful in lowering rodent numbers sufficiently to reduce post-harvest losses methods baskets with known quantities of rice were placed within household granaries and periodically monitored for moisture content, weight loss, faecal contamination and percentage of rodent-damaged grains using an empirical treatment-control study, rodent management was carried out at the community level through daily trapping in two bangladesh villages and in myanmar at the granary storehouse level post-harvest losses were monitored in villages/granaries with rodent management and in similar villages/granaries where there was no management key results estimates of household losses in the absence of rodent control were 25% in bangladesh and 17% in myanmar these losses were reduced when rodent control was implemented, down to 05% in bangladesh and 5% in myanmar conclusions the impact of rodents on small-holder storage can be accurately assessed in the field under realistic conditions intensive daily trapping at the community level together with improved hygiene practices can successfully reduce rodent numbers and this can significantly reduce stored grain losses and rodent contamination and damage levels implications in addition to the threat of rodent pests during crop production, rodents are a major threat to food security after harvest and have, as of yet, unquantified impacts on household nutrition and health through potential transmission of gastro-enteric diseases and zoonoses to householders",null," Reference has been generated automatically",{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"East Asia & Pacific"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"South-eastern Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"South and Southeast Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[104,"Myanmar",null,23161.02,"Rice, milled",2015,3.57,3.5700000000000003E-2,"52.24kgs","Storage","Storage","60 days storage, with trapping","Rodents",null,"Controlled Experiment","Dr Steven Belmain (2015), context post-harvest losses by rodents have traditionally been calculated by estimates of consumption determined in the laboratory methods for assessing storage losses by rodents under small-holder conditions will help farmers and policy makers understand the impact rodents may have on food security, nutrition and health stored product loss assessment methods could also be used to monitor the effects of rodent control in villages aims the present study examined a method to measure the amount of rice eaten by rodents in household granaries the effects of trapping and better hygiene around granaries to reduce rodent populations were investigated using the post-harvest monitoring method to determine whether the programme was successful in lowering rodent numbers sufficiently to reduce post-harvest losses methods baskets with known quantities of rice were placed within household granaries and periodically monitored for moisture content, weight loss, faecal contamination and percentage of rodent-damaged grains using an empirical treatment-control study, rodent management was carried out at the community level through daily trapping in two bangladesh villages and in myanmar at the granary storehouse level post-harvest losses were monitored in villages/granaries with rodent management and in similar villages/granaries where there was no management key results estimates of household losses in the absence of rodent control were 25% in bangladesh and 17% in myanmar these losses were reduced when rodent control was implemented, down to 05% in bangladesh and 5% in myanmar conclusions the impact of rodents on small-holder storage can be accurately assessed in the field under realistic conditions intensive daily trapping at the community level together with improved hygiene practices can successfully reduce rodent numbers and this can significantly reduce stored grain losses and rodent contamination and damage levels implications in addition to the threat of rodent pests during crop production, rodents are a major threat to food security after harvest and have, as of yet, unquantified impacts on household nutrition and health through potential transmission of gastro-enteric diseases and zoonoses to householders",null," Reference has been generated automatically",{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"East Asia & Pacific"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"South-eastern Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"South and Southeast Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[104,"Myanmar",null,23161.02,"Rice, milled",2015,17.649999999999999,0.17649999999999999,"132.27kgs","Storage","Storage","90 days storage, no trapping","Rodents",null,"Controlled Experiment","Dr Steven Belmain (2015), context post-harvest losses by rodents have traditionally been calculated by estimates of consumption determined in the laboratory methods for assessing storage losses by rodents under small-holder conditions will help farmers and policy makers understand the impact rodents may have on food security, nutrition and health stored product loss assessment methods could also be used to monitor the effects of rodent control in villages aims the present study examined a method to measure the amount of rice eaten by rodents in household granaries the effects of trapping and better hygiene around granaries to reduce rodent populations were investigated using the post-harvest monitoring method to determine whether the programme was successful in lowering rodent numbers sufficiently to reduce post-harvest losses methods baskets with known quantities of rice were placed within household granaries and periodically monitored for moisture content, weight loss, faecal contamination and percentage of rodent-damaged grains using an empirical treatment-control study, rodent management was carried out at the community level through daily trapping in two bangladesh villages and in myanmar at the granary storehouse level post-harvest losses were monitored in villages/granaries with rodent management and in similar villages/granaries where there was no management key results estimates of household losses in the absence of rodent control were 25% in bangladesh and 17% in myanmar these losses were reduced when rodent control was implemented, down to 05% in bangladesh and 5% in myanmar conclusions the impact of rodents on small-holder storage can be accurately assessed in the field under realistic conditions intensive daily trapping at the community level together with improved hygiene practices can successfully reduce rodent numbers and this can significantly reduce stored grain losses and rodent contamination and damage levels implications in addition to the threat of rodent pests during crop production, rodents are a major threat to food security after harvest and have, as of yet, unquantified impacts on household nutrition and health through potential transmission of gastro-enteric diseases and zoonoses to householders",null," Reference has been generated automatically",{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"East Asia & Pacific"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"South-eastern Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"South and Southeast Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[104,"Myanmar",null,23161.02,"Rice, milled",2015,5.35,5.3499999999999999E-2,"78.36kgs","Storage","Storage","90 days storage, with trapping","Rodents",null,"Controlled Experiment","Dr Steven Belmain (2015), context post-harvest losses by rodents have traditionally been calculated by estimates of consumption determined in the laboratory methods for assessing storage losses by rodents under small-holder conditions will help farmers and policy makers understand the impact rodents may have on food security, nutrition and health stored product loss assessment methods could also be used to monitor the effects of rodent control in villages aims the present study examined a method to measure the amount of rice eaten by rodents in household granaries the effects of trapping and better hygiene around granaries to reduce rodent populations were investigated using the post-harvest monitoring method to determine whether the programme was successful in lowering rodent numbers sufficiently to reduce post-harvest losses methods baskets with known quantities of rice were placed within household granaries and periodically monitored for moisture content, weight loss, faecal contamination and percentage of rodent-damaged grains using an empirical treatment-control study, rodent management was carried out at the community level through daily trapping in two bangladesh villages and in myanmar at the granary storehouse level post-harvest losses were monitored in villages/granaries with rodent management and in similar villages/granaries where there was no management key results estimates of household losses in the absence of rodent control were 25% in bangladesh and 17% in myanmar these losses were reduced when rodent control was implemented, down to 05% in bangladesh and 5% in myanmar conclusions the impact of rodents on small-holder storage can be accurately assessed in the field under realistic conditions intensive daily trapping at the community level together with improved hygiene practices can successfully reduce rodent numbers and this can significantly reduce stored grain losses and rodent contamination and damage levels implications in addition to the threat of rodent pests during crop production, rodents are a major threat to food security after harvest and have, as of yet, unquantified impacts on household nutrition and health through potential transmission of gastro-enteric diseases and zoonoses to householders",null," Reference has been generated automatically",{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"East Asia & Pacific"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"South-eastern Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"South and Southeast Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[108,"Burundi",null,"0111","Wheat",2021,4.4333299999999998,4.4333299999999998,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2021?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,"0111","Wheat",2021,4.8666700000000001,4.8666700000000001,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2021?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0111","Wheat",2021,3.5,3.5,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2021?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[108,"Burundi",null,"0111","Wheat",2021,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2021?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0112","Maize (corn)",2021,6.42,6.42,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2021?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,"0112","Maize (corn)",2021,1.32,1.32,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2021?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[108,"Burundi",null,"0112","Maize (corn)",2021,5.2637499999999999,5.2637499999999999,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2021?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0112","Maize (corn)",2021,2.3571399999999998,2.3571399999999998,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2021?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0112","Maize (corn)",2021,4,4,null,"Drying","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2021?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0113","Rice",2021,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2021?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0113","Rice",2021,1.25,1.25,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2021?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0113","Rice",2021,4.4033300000000004,4.4033300000000004,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2021?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,"0113","Rice",2021,1.2,1.2,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2021?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0113","Rice",2021,3.13714,3.13714,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2021?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[108,"Burundi",null,"0114","Sorghum",2021,2.6944400000000002,2.6944400000000002,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2021?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0114","Sorghum",2021,4.55,4.55,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2021?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,"0114","Sorghum",2021,2.1666699999999999,2.1666699999999999,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2021?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0114","Sorghum",2021,3.6,3.6,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2021?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[108,"Burundi",null,"0118","Millet",2021,2,2,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2021?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[108,"Burundi",null,"0118","Millet",2021,3.5,3.5,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2021?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,"0118","Millet",2021,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2021?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0118","Millet",2021,1.175,1.175,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2021?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0118","Millet",2021,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2021?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0111","Wheat",2020,3.5,3.5,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2020?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[108,"Burundi",null,"0111","Wheat",2020,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2020?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0111","Wheat",2020,4.4333299999999998,4.4333299999999998,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2020?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,"0111","Wheat",2020,4.8666700000000001,4.8666700000000001,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2020?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0112","Maize (corn)",2020,6.42,6.42,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2020?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,"0112","Maize (corn)",2020,4,4,null,"Drying","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2020?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0112","Maize (corn)",2020,5.2637499999999999,5.2637499999999999,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2020?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0112","Maize (corn)",2020,2.3571399999999998,2.3571399999999998,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2020?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0112","Maize (corn)",2020,1.32,1.32,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2020?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[108,"Burundi",null,"0113","Rice",2020,1.25,1.25,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2020?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0113","Rice",2020,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2020?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0113","Rice",2020,1.2,1.2,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2020?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0113","Rice",2020,4.4033300000000004,4.4033300000000004,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2020?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,"0113","Rice",2020,3.13714,3.13714,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2020?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[108,"Burundi",null,"0114","Sorghum",2020,3.6,3.6,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2020?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[108,"Burundi",null,"0114","Sorghum",2020,2.1666699999999999,2.1666699999999999,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2020?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0114","Sorghum",2020,4.55,4.55,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2020?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,"0114","Sorghum",2020,2.6944400000000002,2.6944400000000002,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2020?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0118","Millet",2020,1.175,1.175,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2020?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0118","Millet",2020,2,2,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2020?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[108,"Burundi",null,"0118","Millet",2020,3.5,3.5,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2020?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,"0118","Millet",2020,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2020?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0118","Millet",2020,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2020?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0111","Wheat",2019,3.5,3.5,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2019?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[108,"Burundi",null,"0111","Wheat",2019,4.4333299999999998,4.4333299999999998,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2019?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,"0111","Wheat",2019,4.8666700000000001,4.8666700000000001,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2019?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0111","Wheat",2019,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2019?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0112","Maize (corn)",2019,4,4,null,"Drying","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2019?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0112","Maize (corn)",2019,1.32,1.32,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2019?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[108,"Burundi",null,"0112","Maize (corn)",2019,2.3571399999999998,2.3571399999999998,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2019?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0112","Maize (corn)",2019,6.42,6.42,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2019?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,"0112","Maize (corn)",2019,5.2637499999999999,5.2637499999999999,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2019?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0113","Rice",2019,1.2,1.2,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2019?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0113","Rice",2019,1.25,1.25,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2019?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0113","Rice",2019,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2019?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0113","Rice",2019,4.4033300000000004,4.4033300000000004,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2019?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,"0113","Rice",2019,3.13714,3.13714,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2019?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[108,"Burundi",null,"0114","Sorghum",2019,2.1666699999999999,2.1666699999999999,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2019?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0114","Sorghum",2019,2.6944400000000002,2.6944400000000002,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2019?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0114","Sorghum",2019,3.6,3.6,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2019?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[108,"Burundi",null,"0114","Sorghum",2019,4.55,4.55,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2019?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,"0118","Millet",2019,1.175,1.175,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2019?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0118","Millet",2019,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2019?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0118","Millet",2019,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2019?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0118","Millet",2019,3.5,3.5,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2019?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,"0118","Millet",2019,2,2,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2019?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[108,"Burundi",null,"0111","Wheat",2018,4.4333299999999998,4.4333299999999998,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,"0111","Wheat",2018,4.8666700000000001,4.8666700000000001,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0111","Wheat",2018,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0111","Wheat",2018,3.5,3.5,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[108,"Burundi",null,"0112","Maize (corn)",2018,6.42,6.42,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,"0112","Maize (corn)",2018,5.2637499999999999,5.2637499999999999,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0112","Maize (corn)",2018,1.32,1.32,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[108,"Burundi",null,"0112","Maize (corn)",2018,2.3571399999999998,2.3571399999999998,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0112","Maize (corn)",2018,4,4,null,"Drying","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0113","Rice",2018,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0113","Rice",2018,3.13714,3.13714,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[108,"Burundi",null,"0113","Rice",2018,1.25,1.25,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0113","Rice",2018,1.2,1.2,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0113","Rice",2018,4.4033300000000004,4.4033300000000004,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,"0114","Sorghum",2018,4.55,4.55,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,"0114","Sorghum",2018,2.6944400000000002,2.6944400000000002,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0114","Sorghum",2018,3.6,3.6,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[108,"Burundi",null,"0114","Sorghum",2018,2.1666699999999999,2.1666699999999999,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0118","Millet",2018,3.5,3.5,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,"0118","Millet",2018,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0118","Millet",2018,2,2,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[108,"Burundi",null,"0118","Millet",2018,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0118","Millet",2018,1.175,1.175,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0111","Wheat",2017,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2017?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0111","Wheat",2017,4.4333299999999998,4.4333299999999998,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2017?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,"0111","Wheat",2017,3.5,3.5,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2017?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[108,"Burundi",null,"0111","Wheat",2017,4.8666700000000001,4.8666700000000001,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2017?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0112","Maize (corn)",2017,4,4,null,"Drying","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2017?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0112","Maize (corn)",2017,2.3571399999999998,2.3571399999999998,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2017?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0112","Maize (corn)",2017,1.32,1.32,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2017?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[108,"Burundi",null,"0112","Maize (corn)",2017,6.42,6.42,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2017?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,"0112","Maize (corn)",2017,5.2637499999999999,5.2637499999999999,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2017?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0113","Rice",2017,3.13714,3.13714,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2017?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[108,"Burundi",null,"0113","Rice",2017,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2017?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0113","Rice",2017,4.4033300000000004,4.4033300000000004,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2017?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,"0113","Rice",2017,1.2,1.2,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2017?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0113","Rice",2017,1.25,1.25,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2017?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0114","Sorghum",2017,2.6944400000000002,2.6944400000000002,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2017?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0114","Sorghum",2017,4.55,4.55,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2017?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,"0114","Sorghum",2017,3.6,3.6,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2017?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[108,"Burundi",null,"0114","Sorghum",2017,2.1666699999999999,2.1666699999999999,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2017?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0118","Millet",2017,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2017?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0112","Maize (corn)",2013,5.2637499999999999,5.2637499999999999,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2013?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,"0111","Wheat",2002,4.8666700000000001,4.8666700000000001,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BI/all-crops/2002?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[120,"Cameroon",null,"0118","Millet",2003,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/CM/all-crops/2003?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[148,"Chad",null,"0111","Wheat",2016,3.5,3.5,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/TD/all-crops/2016?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[148,"Chad",null,"0113","Rice",2010,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/TD/all-crops/2010?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[156,"China",null,"01510","Potatoes",2009,2,0.02,null,"Storage","Storage",null,null,null,"Survey","Thomas Reardon, Kevin Chen, Bart Minten and Lourdes Adriano (2012)",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"East Asia & Pacific"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Eastern Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Industrialized Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Potatoes"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Tubers/Root Crops"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Roots and tubers"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[180,"Democratic Republic of the Congo",null,"0112","Maize (corn)",2012,1.32,1.32,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/CD/all-crops/2012?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[180,"Democratic Republic of the Congo",null,"0118","Millet",2005,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/CD/all-crops/2005?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[204,"Benin",null,"0112","Maize (corn)",2017,2.3571399999999998,2.3571399999999998,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BJ/all-crops/2017?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[204,"Benin",null,"0118","Millet",2005,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BJ/all-crops/2005?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[204,"Benin",null,"0114","Sorghum",2000,2.65,2.65,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BJ/all-crops/2000?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[231,"Ethiopia",null,"0114","Sorghum",2019,0.6,6.0000000000000001E-3,null,"Storage","Storage","5 months storage in Storage in Basket made from woven bamboo stem plastered with cow dung from inside (2â€“3 cm) and supported with PVC bag lining and with smoke infusion port from the bottom",null,null,"Controlled Experiment","NA (2020), low-cost modiï¬\u0081ed-atmosphere hermetic storage structures to reduce storage losses of maize (zea mays l) cobs and sorghum",null," Reference has been generated automatically",{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[231,"Ethiopia","Amhara","0112","Maize (corn)",2015,6.9,6.9,null,null,"Storage",null,"Insect Pest",null,"No Data Collection Specified","UNFAO","https://www.dropbox.com/sh/oii6pjz81e4634x/AAAGzJWThewS19CWzCqvV1u-a/Ethiopia%20Teff%20and%20Maize%20%20March%202017%20.docx?dl=0",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[231,"Ethiopia",null,"0114","Sorghum",2006,2.1666699999999999,2.1666699999999999,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/ET/all-crops/2006?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[231,"Ethiopia",null,"0114","Sorghum",2000,3.6,3.6,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/ET/all-crops/2000?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[232,"Eritrea",null,"0115","Barley",2009,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/ER/all-crops/2009?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Barley"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[232,"Eritrea",null,"0111","Wheat",2003,4.4333299999999998,4.4333299999999998,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/ER/all-crops/2003?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[24,"Angola",null,"0118","Millet",2012,1,1,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/AO/all-crops/2012?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Transport"}]
[24,"Angola",null,"0112","Maize (corn)",2007,5.9267799999999999,5.9267799999999999,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/AO/all-crops/2007?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[24,"Angola",null,"0118","Millet",2000,1.7495400000000001,1.7495400000000001,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/AO/all-crops/2000?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[270,"Gambia",null,"0112","Maize (corn)",2008,5.2637499999999999,5.2637499999999999,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/GM/all-crops/2008?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[288,"Ghana",null,"0113","Rice",2020,4.4033300000000004,4.4033300000000004,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/GH/all-crops/2020?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[288,"Ghana",null,"0118","Millet",2015,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/GH/all-crops/2015?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[288,"Ghana",null,"0113","Rice",2008,0.23,2.3E-3,null,"Bagging, Packaging","Processing","Major season",null,null,"No Data Collection Specified","The World Bank",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Processing"}]
[31,"Azerbaijan",null,"0111","Wheat",2016,6.09,6.0900000000000003E-2,260753,null,"Whole supply chain",null,null,null,"National Accounts","User215 (2021), BÉ™zi hallarda yekunla toplananlarÄ±n cÉ™mi arasÄ±ndakÄ± fÉ™rq rÉ™qÉ™mlÉ™rin yuvarlaqlaÅŸdÄ±rÄ±lmasÄ± ilÉ™ izah olunur .bu nÉ™ÅŸrdÉ™ É™vvÉ™lki dÃ¶vrlÉ™rÉ™ dair mÉ™lumatlarla É™vvÉ™lki nÉ™ÅŸrlÉ™rdÉ™ hÉ™min dÃ¶vrlÉ™rÉ™ aid mÉ™lumatlar a",null,"Loss percentages obtained by dividing indicated losses by total resources and multiplying by 100% Reference has been generated automatically",{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Europe & Central Asia"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Western Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"North Africa, West and Central Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[324,"Guinea",null,"0113","Rice",2016,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/GN/all-crops/2016?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[356,"India",null,"01234","Tomatoes",2016,12.44,0.1244,null,"Collection, Grading, Harvesting, Packaging, Retailing, Storage, Transportation, Wholesale","Whole supply chain",null,null,null,"Literature Review","rajesh (2016), assessment of quantitative harvest and post-harvest losses of major crops/commodities in india",null," Reference has been generated automatically",{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"South Asia"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Southern Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"South and Southeast Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Tomatoes"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Fruits"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Fruits and vegetables"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[356,"India",null,"0113","Rice",2014,0.1,0.1,null,"Drying","Farm",null,null,null,"Survey","S.N.Jha, P.K. Vishwakarma Tauqueer Ahmad ; ICAR-All India Coordinated Research Project on Post-Harvest Technology","http://www.ciphet.in/upload/sphl/MOFPI%20REPORT1.pdf",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"South Asia"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Southern Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"South and Southeast Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[356,"India",null,"01319","Other tropical and subtropical fruits, n.e.c.",2014,2.5299999999999998,2.5299999999999998,null,"Harvesting","Harvest",null,null,"3 agro-climatic zones",null,"S.N.Jha, P.K. Vishwakarma Tauqueer Ahmad ; ICAR-All India Coordinated Research Project on Post-Harvest Technology","http://www.ciphet.in/upload/sphl/MOFPI%20REPORT1.pdf",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"South Asia"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Southern Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"South and Southeast Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":0},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":""},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[356,"India",null,21111.01,"Meat of cattle with the bone, fresh or chilled",2014,0.21,0.21,null,"Grading, Sorting","Farm",null,null,"5 agro-climatic zones","Survey","S.N.Jha, P.K. Vishwakarma Tauqueer Ahmad ; ICAR-All India Coordinated Research Project on Post-Harvest Technology","http://www.ciphet.in/upload/sphl/MOFPI%20REPORT1.pdf",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"South Asia"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Southern Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"South and Southeast Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Meat (Cattle)"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Animal Protein"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Meat"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[356,"India",null,"01379.01","Areca nuts",2006,0.16,0.16,null,"Collection","Farm",null,null,null,"Survey","ICAR - S.K. Nanda, P.K. Vishwakarma","https://www.researchgate.net/publication/280780214_Harvest_and_post_harvest_losses_of_major_crops_and_livestock_produce_in_India",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"South Asia"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Southern Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"South and Southeast Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":0},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":""},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[356,"India",null,"01654","Anise, badian, coriander, cumin, caraway, fennel and juniper berries, raw",2006,0.52,0.52,null,"Wholesale","Storage",null,null,null,"Survey","ICAR - S.K. Nanda, P.K. Vishwakarma","https://www.researchgate.net/publication/280780214_Harvest_and_post_harvest_losses_of_major_crops_and_livestock_produce_in_India",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"South Asia"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Southern Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"South and Southeast Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":0},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":""},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[364,"Iran (Islamic Republic of)",null,"01376","Walnuts, in shell",2001,1,0.01,null,"Retailing","Retail",null,null,null,"Literature Review","Asian Productivity Organization and Food and Agriculture Organization of the United Nations",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Middle East & North Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Southern Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"South and Southeast Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Walnuts"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Nuts/Seeds"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Oilseeds and pulses"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Retail"}]
[384,"CÃ´te d'Ivoire",null,"0113","Rice",2014,1.1979200000000001,1.1979200000000001,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/CI/all-crops/2014?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[404,"Kenya",null,"0118","Millet",2019,0.60600299999999996,0.60600299999999996,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/KE/all-crops/2019?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[404,"Kenya",null,"0112","Maize (corn)",2014,2.65,2.65,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/KE/all-crops/2014?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[404,"Kenya",null,"0115","Barley",2012,2.65,2.65,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/KE/all-crops/2012?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Barley"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[404,"Kenya",null,"0114","Sorghum",2007,0.15654899999999999,0.15654899999999999,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/KE/all-crops/2007?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[426,"Lesotho",null,"0114","Sorghum",2017,3.6,3.6,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/LS/all-crops/2017?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[426,"Lesotho",null,"0114","Sorghum",2007,2.1666699999999999,2.1666699999999999,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/LS/all-crops/2007?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[450,"Madagascar",null,"0113","Rice",2018,0.70322600000000002,0.70322600000000002,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/MG/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[454,"Malawi",null,"0111","Wheat",2015,2.65,2.65,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/MW/all-crops/2015?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[454,"Malawi",null,"0112","Maize (corn)",2008,2.65,2.65,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/MW/all-crops/2008?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[454,"Malawi",null,"0118","Millet",2004,2,2,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/MW/all-crops/2004?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[466,"Mali",null,"0112","Maize (corn)",2012,1.32,1.32,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/ML/all-crops/2012?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[466,"Mali",null,"0111","Wheat",2003,3.5,3.5,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/ML/all-crops/2003?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[478,"Mauritania",null,"0118","Millet",2013,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/MR/all-crops/2013?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[478,"Mauritania",null,"0112","Maize (corn)",2001,6.42,6.42,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/MR/all-crops/2001?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[50,"Bangladesh",null,"01234","Tomatoes",2010,1.35,1.35,null,null,"Processing",null,"Ketchup production",null,null,"BAU MSc thesis; Uddin, M. J.","http://www.mod.gov.tr/Lists/RecentPublications/Attachments/120/Reducing%20Postharvest%20Losses%20in%20the%20OIC%20Member%20Countries.pdf",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"South Asia"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Southern Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"South and Southeast Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Tomatoes"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Fruits"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Fruits and vegetables"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Processing"}]
[50,"Bangladesh","Thakurgaon","01510","Potatoes",2009,27.67,0.2767,null,"Cleaning, Collection, Distribution, Drying, Field, Harvesting, Shelling, Storage, Threshing, Transportation","Whole supply chain","Traditional storage method",null,null,"Survey","Md. Ayub Hossain and A. Monayem Miah (2009)",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"South Asia"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Southern Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"South and Southeast Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Potatoes"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Tubers/Root Crops"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Roots and tubers"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[50,"Bangladesh",null,"01318","Pineapples",2008,43,43,null,null,"Whole supply chain",null,"Chemicals Repening Agents",null,"Survey","Mymensingh and Gazipur,","http://www.measurepostharvestlosses.com/sites/default/files/phlassessveg.pdf",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"South Asia"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Southern Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"South and Southeast Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Pineapples"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Fruits"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Fruits and vegetables"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[508,"Mozambique",null,"0114","Sorghum",2009,2.1666699999999999,2.1666699999999999,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/MZ/all-crops/2009?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[508,"Mozambique",null,"0114","Sorghum",2003,2.8922300000000001,2.8922300000000001,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/MZ/all-crops/2003?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[516,"Namibia",null,"0114","Sorghum",2014,1,1,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/NA/all-crops/2014?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Transport"}]
[516,"Namibia",null,"0118","Millet",2005,1.3,1.3,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/NA/all-crops/2005?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[562,"Niger",null,"0112","Maize (corn)",2004,1.32,1.32,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/NE/all-crops/2004?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[566,"Nigeria",null,"0112","Maize (corn)",2018,6.42,6.42,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/NG/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[566,"Nigeria",null,"0112","Maize (corn)",2013,2,0.02,null,"Storage","Storage","Dry maize",null,null,"Survey","PE International/ GIZ 2013",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[566,"Nigeria",null,"0112","Maize (corn)",2003,4.5917300000000001,4.5917300000000001,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/NG/all-crops/2003?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[624,"Guinea-Bissau",null,"0112","Maize (corn)",2018,4,4,null,"Drying","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/GW/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[624,"Guinea-Bissau",null,"0112","Maize (corn)",2012,2.3571399999999998,2.3571399999999998,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/GW/all-crops/2012?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[624,"Guinea-Bissau",null,"0114","Sorghum",2002,2.1666699999999999,2.1666699999999999,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/GW/all-crops/2002?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[646,"Rwanda",null,"01234","Tomatoes",2009,10.7,10.7,null,null,"Wholesale",null,"Physical Losses","10, planning project",null,"ISAR/KIST","http://ucanr.edu/datastoreFiles/234-1847.pdf",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Tomatoes"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Fruits"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Fruits and vegetables"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[662,"Saint Lucia",null,"01316","Mangoes, guavas and mangosteens",2015,13,0.13,null,"Processing","Processing",null,null,null,"Survey","FAO (2015)",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Latin America & Caribbean"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Latin America and the Caribbean"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Latin America"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Mangoes"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Fruits"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Fruits and vegetables"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Processing"}]
[686,"Senegal",null,"0114","Sorghum",2018,3.6,3.6,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/SN/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[686,"Senegal",null,"0114","Sorghum",2006,1.2971200000000001,1.2971200000000001,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/SN/all-crops/2006?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[694,"Sierra Leone",null,"0113","Rice",2020,4.4033300000000004,4.4033300000000004,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/SL/all-crops/2020?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[694,"Sierra Leone",null,"0113","Rice",2010,6.2,6.2,null,"Threshing","Farm",null,null,null,"Case Study","Joint ADB/FAO Rapid Country Needs Assessment/ Peters D. July 15, 2005. Production and Market Systems: Kailahun, Kono, and Koinadugu Districts of Sierra Leone; A consulting report for CRS-Sierra Leone.","http://www.fao.org/3/a-au874e.pdf",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[706,"Somalia",null,"0114","Sorghum",2008,2.65,2.65,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/SO/all-crops/2008?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[710,"South Africa",null,"0111","Wheat",2016,3.8639399999999999,3.8639399999999999,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/ZA/all-crops/2016?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[710,"South Africa",null,"0112","Maize (corn)",2008,2.65,2.65,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/ZA/all-crops/2008?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[716,"Zimbabwe","Mbire District","01706","Cow peas, dry",2018,1.2,1.2E-2,null,"Storage","Storage","AgroZ plus bag - 8 weeks storage","Insect pest damage",null,"Controlled Experiment","Patrick Ngwenyama;Brighton M. Mvumi;Loveness K. Nyanga;Tanya E. Stathers;Shephard Siziba (2020), Comparative performance of five hermetic bag brands during on-farm smallholder cowpea (vigna unguiculata l.walp) storage",null," Reference has been generated automatically",{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":0},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":""},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[72,"Botswana",null,"0112","Maize (corn)",2020,2.65,2.65,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BW/all-crops/2020?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[72,"Botswana",null,"0118","Millet",2013,2,2,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BW/all-crops/2013?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[728,"South Sudan",null,"0112","Maize (corn)",2021,2.29908,2.29908,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/SS/all-crops/2021?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[729,"Sudan",null,"0114","Sorghum",2000,2.4733299999999998,2.4733299999999998,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/SD/all-crops/2000?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Northern Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"North Africa, West and Central Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sorghum"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[760,"Syrian Arab Republic",null,"0112","Maize (corn)",2017,15,0.15,null,"Storage","Storage",null,null,null,"Expert Opinion","ian 2012 (2017), FAO/WFP CROP AND FOOD SECURITY ASSESSMENT MISSION TO THE SYRIAN ARAB REPUBLIC. Special Report. 2017",null," Reference has been generated automatically",{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Middle East & North Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Western Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"North Africa, West and Central Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[768,"Togo",null,"0113","Rice",2016,3.13714,3.13714,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/TG/all-crops/2016?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[768,"Togo",null,"01193","Fonio",2006,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/TG/all-crops/2006?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":0},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":""},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[768,"Togo",null,"01193","Fonio",2000,3.5,3.5,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/TG/all-crops/2000?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":0},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":""},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[800,"Uganda",null,"0112","Maize (corn)",2012,1.65,1.65,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/UG/all-crops/2012?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Transport"}]
[800,"Uganda",null,"0112","Maize (corn)",2008,4,4,null,"Drying","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/UG/all-crops/2008?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[800,"Uganda",null,"0118","Millet",2002,3.5,3.5,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/UG/all-crops/2002?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[834,"United Republic of Tanzania",null,"0112","Maize (corn)",2016,1.32,1.32,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/TZ/all-crops/2016?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
[834,"United Republic of Tanzania",null,"0118","Millet",2008,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/TZ/all-crops/2008?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[834,"United Republic of Tanzania",null,"0118","Millet",2002,3.5,3.5,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/TZ/all-crops/2002?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[840,"United States of America",null,"01229","Cantaloupes and other melons",2014,8,8,null,null,"Whole supply chain",null,null,null,"National Accounts",null,"https://www.ers.usda.gov/data-products/food-availability-per-capita-data-system/",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"North America"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Northern America"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"North America and Oceania"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":0},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":""},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[840,"United States of America",null,"01229","Cantaloupes and other melons",2010,8,8,null,null,"Whole supply chain",null,null,null,"National Accounts",null,"https://www.ers.usda.gov/data-products/food-availability-per-capita-data-system/",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"North America"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Northern America"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"North America and Oceania"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":0},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":""},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[840,"United States of America",null,"01314","Dates",2008,15,0.15,null,"Consumption, Retailing","Households","Dried",null,null,"Modelled Estimates","NA (2011), the value of retail- and consumer-level fruit and vegetable losses in the united states",null," Reference has been generated automatically",{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"North America"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Northern America"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"North America and Oceania"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":0},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":""},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[840,"United States of America",null,"01324","Tangerines, mandarins, clementines",2005,5,5,null,null,"Whole supply chain",null,null,null,"National Accounts",null,"https://www.ers.usda.gov/data-products/food-availability-per-capita-data-system/",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"North America"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Northern America"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"North America and Oceania"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Mandarins"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Fruits"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Fruits and vegetables"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[840,"United States of America",null,"01345","Peaches and nectarines",2001,5,5,null,null,"Whole supply chain",null,null,null,"National Accounts",null,"https://www.ers.usda.gov/data-products/food-availability-per-capita-data-system/",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"North America"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Northern America"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"North America and Oceania"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":0},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":""},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[854,"Burkina Faso",null,"0112","Maize (corn)",2019,4,4,null,"Drying","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BF/all-crops/2019?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[854,"Burkina Faso",null,"0112","Maize (corn)",2012,1.65,1.65,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BF/all-crops/2012?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Transport"}]
[854,"Burkina Faso",null,"01193","Fonio",2000,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/BF/all-crops/2000?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":0},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":""},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[894,"Zambia",null,"0112","Maize (corn)",2018,4.4989299999999997,4.4989299999999997,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/ZM/all-crops/2018?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Maize"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[894,"Zambia",null,"0113","Rice",2011,3.13714,3.13714,null,"Shelling, Threshing",null,null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/data/tables/value-chain/ZM/all-crops/2011?metric=prc&download=csv",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(CountryMapping[Region], MATCH(FAOdata[[#This Row],[m49_code]],CountryMapping[UN country code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Sub-Saharan Africa"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":""}]
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{"sheet":"FL-Map","index":18,"n_rows":490,"n_cols":21,"rows_kept":281,"cut":true,"hidden":true,"merged":[[481,10,481,11],[471,9,471,10],[4,19,4,20],[4,1,4,2],[4,4,4,6],[4,8,4,12],[4,15,4,17]],"bounds":{"rows_first":125,"rows_last":31,"rows_between":125,"halvings":4}}
[]
[null,"Taxonomy"]
[null,"This section contains the tables required to reconcile the different terminologies."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"WB region"]
[null,"FAO commodity is the list of all labels observed in the FAO Food Loss database. All relevant commodities are associate with the equivalent IFC terminology.",null,null,"To each IFC commodity is associated the respective IFC commodity group and FAO commodity group label.",null,null,null,"Table with estimates from FAO, classified by region, as reported in FAO Global Food Losses and Waste report (http://www.fao.org/3/a-i2697e.pdf - 2011). The label for IFC supply chain stage has been added to match the correct category within the scope of this project.\nData on post-harvest handling and storage include both storage and transportation, therefore the original food loss % from FAO is split based on the distribution of losses at the storage and transport stage obtained from the FAO Food Loss database (at the commodity group level) - see tables at the bottom for details.",null,null,null,null,"Manually updated as FAO wider region = 2 different WB regions",null,"This table reconciles the different region terminology beween IFC, UN, and FAO.",null,null,null,"FAO Supply Chain stage is matched with the relevant IFC supply chain stage"]
[null,"FAO commodity","IFC commodity",null,"IFC Commodity","IFC Commodity group","FAO commodity group",null,"FAO Wider Region","FAO Commodity group","FAO Supply Chain stage","IFC Supply Chain stage","Waste (%)","WB region",null,"IFC Region","UN region","FAO region",null,"fsc_location1","IFC Supply Chain Stage"]
[null,"Abaca, manila hemp, raw",null,null,"Almonds","Nuts/Seeds","Oilseeds and pulses",null,"Europe (incl. Russia)","Cereals","Total Supply Chain Estimate","",7.5999999999999998E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"},null,"Oceania","Australia and New Zealand","North America and Oceania",null,"Distribution","Retail"]
[null,"Agave fibres, raw, n.e.c.",null,null,"Apples","Fruits","Fruits and vegetables",null,"Industrialized Asia","Cereals","Total Supply Chain Estimate","",7.7999999999999986E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"},null,"Middle East & North Africa","Central Asia","North Africa, West and Central Asia",null,"Export"]
[null,"Almonds, in shell","Almonds",null,"Asparagus","Vegetables","Fruits and vegetables",null,"Latin America","Cereals","Total Supply Chain Estimate","",5.6000000000000008E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"},null,"East Asia and Pacific","Eastern Asia","Industrialized Asia",null,"Farm","Production"]
[null,"Anise, badian, coriander, cumin, caraway, fennel and juniper berries, raw",null,null,"Avocados","Fruits","Fruits and vegetables",null,"North Africa, West and Central Asia","Cereals","Total Supply Chain Estimate","",6.7999999999999991E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"},null,"Europe & Central Asia","Eastern Europe","Europe (incl. Russia)",null,"Food Services"]
[null,"Apple juice",null,null,"Bananas","Fruits","Fruits and vegetables",null,"North America and Oceania","Cereals","Total Supply Chain Estimate","",5.6000000000000008E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Oceania"},null,"Latin America and Caribbean","Latin America and the Caribbean","Latin America",null,"Grading"]
[null,"Apples","Apples",null,"Barley","Pulses & Grains","Cereals",null,"North America and Oceania","Cereals","Total Supply Chain Estimate","",5.6000000000000008E-2,"North America",null,"East Asia and Pacific","Melanesia","North America and Oceania",null,"Harvest"]
[null,"Apricots",null,null,"Beans","Pulses & Grains","Oilseeds and pulses",null,"South and Southeast Asia","Cereals","Total Supply Chain Estimate","",4.2999999999999997E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"},null,"Middle East & North Africa","Northern Africa","North Africa, West and Central Asia",null,"Households"]
[null,"Areca nuts",null,null,"Blueberries","Fruits","Fruits and vegetables",null,"Sub-Saharan Africa","Cereals","Total Supply Chain Estimate","",4.1000000000000002E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"},null,"North America","Northern America","North America and Oceania",null,"Market","Retail"]
[null,"Artichokes",null,null,"Broccoli","Vegetables","Fruits and vegetables",null,"Europe (incl. Russia)","Fish and seafood","Total Supply Chain Estimate","",7.1800000000000003E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"},null,"Western Europe","Northern Europe","Europe (incl. Russia)",null,"Packing"]
[null,"Asparagus","Asparagus",null,"Buckwheat","Pulses & Grains","Cereals",null,"Industrialized Asia","Fish and seafood","Total Supply Chain Estimate","",8.3999999999999991E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"},null,"East Asia and Pacific","South-eastern Asia","South and Southeast Asia",null,"Post-harvest"]
[null,"Avocados","Avocadoes",null,"Butter","Animal Protein","Milk",null,"Latin America","Fish and seafood","Total Supply Chain Estimate","",6.7400000000000002E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"},null,"South Asia","Southern Asia","South and Southeast Asia",null,"Pre-harvest"]
[null,"Bambara beans, dry",null,null,"Carrots","Tubers/Root Crops","Roots and tubers",null,"North Africa, West and Central Asia","Fish and seafood","Total Supply Chain Estimate","",6.9199999999999998E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"},null,"Western Europe","Southern Europe","Europe (incl. Russia)",null,"Processing","Processing"]
[null,"Bananas","Bananas",null,"Cashew nuts","Nuts/Seeds","Oilseeds and pulses",null,"North America and Oceania","Fish and seafood","Total Supply Chain Estimate","",0.121,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Oceania"},null,"Sub-Saharan Africa","Sub-Saharan Africa","Sub-Saharan Africa",null,"Retail","Retail"]
[null,"Barley","Barley",null,"Cassava","Tubers/Root Crops","Roots and tubers",null,"North America and Oceania","Fish and seafood","Total Supply Chain Estimate","",0.121,"North America",null,"Middle East & North Africa","Western Asia","North Africa, West and Central Asia",null,"Stacking"]
[null,"Beans, dry","Beans (dry)",null,"Catfish","Animal Protein","Fish and seafood",null,"South and Southeast Asia","Fish and seafood","Total Supply Chain Estimate","",8.0399999999999999E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"},null,"Western Europe","Western Europe","Europe (incl. Russia)",null,"Storage","Storage"]
[null,"Blueberries","Blueberries",null,"Cheese","Animal Protein","Milk",null,"Sub-Saharan Africa","Fish and seafood","Total Supply Chain Estimate","",7.5399999999999995E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"},null,null,null,null,null,"Trader"]
[null,"Bran of Maize",null,null,"Cherries","Fruits","Fruits and vegetables",null,"Europe (incl. Russia)","Fruits and vegetables","Total Supply Chain Estimate","",0.11200000000000002,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"},null,null,null,null,null,"Transport","Transport"]
[null,"Brazil nuts, in shell",null,null,"Chickpeas","Pulses & Grains","Oilseeds and pulses",null,"Industrialized Asia","Fruits and vegetables","Total Supply Chain Estimate","",8.6000000000000007E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"},null,null,null,null,null,"Whole supply chain"]
[null,"Broad beans and horse beans, dry",null,null,"Cocoa","Nuts/Seeds","Oilseeds and pulses",null,"Latin America","Fruits and vegetables","Total Supply Chain Estimate","",0.14399999999999999,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"},null,null,null,null,null,"Wholesale"]
[null,"Broad beans and horse beans, green",null,null,"Coconuts","Nuts/Seeds","Oilseeds and pulses",null,"North Africa, West and Central Asia","Fruits and vegetables","Total Supply Chain Estimate","",0.14799999999999999,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,"Buckwheat","Buckwheat",null,"Coffee","Nuts/Seeds","Oilseeds and pulses",null,"North America and Oceania","Fruits and vegetables","Total Supply Chain Estimate","",0.13200000000000001,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Oceania"}]
[null,"Butter of Cow Milk",null,null,"Cotton","Cotton",null,null,"North America and Oceania","Fruits and vegetables","Total Supply Chain Estimate","",0.13200000000000001,"North America"]
[null,"Cabbages",null,null,"Cotton seed oil","Nuts/Seeds","Oilseeds and pulses",null,"South and Southeast Asia","Fruits and vegetables","Total Supply Chain Estimate","",0.13200000000000001,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Camels",null,null,"Cucumbers","Vegetables","Fruits and vegetables",null,"Sub-Saharan Africa","Fruits and vegetables","Total Supply Chain Estimate","",0.13200000000000001,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"}]
[null,"Canary seed",null,null,"Eggs","Animal Protein",null,null,"Europe (incl. Russia)","Meat","Total Supply Chain Estimate","",4.7599999999999996E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"}]
[null,"Cane sugar, non-centrifugal",null,null,"Flour","Flour","Cereals",null,"Industrialized Asia","Meat","Total Supply Chain Estimate","",4.4999999999999998E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Canned mushrooms",null,null,"Garlic (green)","Vegetables","Fruits and vegetables",null,"Latin America","Meat","Total Supply Chain Estimate","",4.48E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"}]
[null,"Cantaloupes and other melons",null,null,"Ginger","Tubers/Root Crops","Roots and tubers",null,"North Africa, West and Central Asia","Meat","Total Supply Chain Estimate","",4.9599999999999998E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,"Carrots and turnips","Carrots",null,"Grapes","Fruits","Fruits and vegetables",null,"North America and Oceania","Meat","Total Supply Chain Estimate","",4.9000000000000002E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Oceania"}]
[null,"Cashew nuts, in shell","Cashew nuts",null,"Hazelnuts","Nuts/Seeds","Oilseeds and pulses",null,"North America and Oceania","Meat","Total Supply Chain Estimate","",4.9000000000000002E-2,"North America"]
[null,"Cashewapple",null,null,"Lemons","Fruits","Fruits and vegetables",null,"South and Southeast Asia","Meat","Total Supply Chain Estimate","",4.2800000000000005E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Cassava leaves",null,null,"Lentils","Pulses & Grains","Oilseeds and pulses",null,"Sub-Saharan Africa","Meat","Total Supply Chain Estimate","",5.9400000000000008E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"}]
[null,"Cassava, dry",null,null,"Lettuce","Vegetables","Fruits and vegetables",null,"Europe (incl. Russia)","Milk","Total Supply Chain Estimate","",2.5399999999999999E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"}]
[null,"Cassava, fresh","Cassava (fresh)",null,"Litchi","Fruits","Fruits and vegetables",null,"Industrialized Asia","Milk","Total Supply Chain Estimate","",2.24E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Castor oil seeds",null,null,"Maize","Pulses & Grains","Cereals",null,"Latin America","Milk","Total Supply Chain Estimate","",4.7E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"}]
[null,"Cattle",null,null,"Mandarins","Fruits","Fruits and vegetables",null,"North Africa, West and Central Asia","Milk","Total Supply Chain Estimate","",4.2999999999999997E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,"Cattle fat, unrendered",null,null,"Mangoes","Fruits","Fruits and vegetables",null,"North America and Oceania","Milk","Total Supply Chain Estimate","",4.1399999999999999E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Oceania"}]
[null,"Cauliflowers and broccoli","Broccoli",null,"Meat (cattle)","Animal Protein","Meat",null,"North America and Oceania","Milk","Total Supply Chain Estimate","",4.1399999999999999E-2,"North America"]
[null,"Cereals n.e.c.",null,null,"Meat (chicken)","Animal Protein","Meat",null,"South and Southeast Asia","Milk","Total Supply Chain Estimate","",4.4999999999999998E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Cheese from whole cow milk",null,null,"Meat (pig)","Animal Protein","Meat",null,"Sub-Saharan Africa","Milk","Total Supply Chain Estimate","",5.4400000000000004E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"}]
[null,"Cherries","Cherries",null,"Milk (cattle)","Animal Protein","Milk",null,"Europe (incl. Russia)","Oilseeds and pulses","Total Supply Chain Estimate","",4.2000000000000003E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"}]
[null,"Chestnuts, in shell",null,null,"Millet","Pulses & Grains","Cereals",null,"Industrialized Asia","Oilseeds and pulses","Total Supply Chain Estimate","",3.7999999999999999E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Chick peas, dry","Chickpeas (dry)",null,"Mushrooms","Mycoprotein","Fruits and vegetables",null,"Latin America","Oilseeds and pulses","Total Supply Chain Estimate","",4.1999999999999996E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"}]
[null,"Chicory roots",null,null,"Oats","Pulses & Grains","Cereals",null,"North Africa, West and Central Asia","Oilseeds and pulses","Total Supply Chain Estimate","",6.5999999999999989E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,"Chillies and peppers, dry (<i>Capsicum</i> spp., <i>Pimenta</i> spp.), raw",null,null,"Olive oil","Nuts/Seeds","Oilseeds and pulses",null,"North America and Oceania","Oilseeds and pulses","Total Supply Chain Estimate","",4.3999999999999997E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Oceania"}]
[null,"Chillies and peppers, dry (Capsicum spp., Pimenta spp.), raw",null,null,"Onions (fresh)","Vegetables","Fruits and vegetables",null,"North America and Oceania","Oilseeds and pulses","Total Supply Chain Estimate","",4.3999999999999997E-2,"North America"]
[null,"Chillies and peppers, green (<i>Capsicum</i> spp. and <i>Pimenta</i> spp.)","Peppers",null,"Onions, dry","Tubers/Root Crops","Roots and tubers",null,"South and Southeast Asia","Oilseeds and pulses","Total Supply Chain Estimate","",0.06,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Chillies and peppers, green (Capsicum spp. and Pimenta spp.)","Peppers",null,"Oranges","Fruits","Fruits and vegetables",null,"Sub-Saharan Africa","Oilseeds and pulses","Total Supply Chain Estimate","",6.2000000000000013E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"}]
[null,"Cinnamon and cinnamon-tree flowers, raw",null,null,"Palm oil","Nuts/Seeds","Oilseeds and pulses",null,"Europe (incl. Russia)","Roots and tubers","Total Supply Chain Estimate","",0.13600000000000001,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"}]
[null,"Cloves (whole stems), raw",null,null,"Peanuts","Nuts/Seeds","Oilseeds and pulses",null,"Industrialized Asia","Roots and tubers","Total Supply Chain Estimate","",0.122,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Cocoa beans","Cocoa",null,"Pears","Fruits","Fruits and vegetables",null,"Latin America","Roots and tubers","Total Supply Chain Estimate","",9.4E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"}]
[null,"Coconuts, in shell","Coconuts",null,"Peas (dry)","Pulses & Grains","Oilseeds and pulses",null,"North Africa, West and Central Asia","Roots and tubers","Total Supply Chain Estimate","",7.5999999999999998E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,"Coffee, green","Coffee",null,"Peppers","Vegetables","Fruits and vegetables",null,"North America and Oceania","Roots and tubers","Total Supply Chain Estimate","",0.16400000000000001,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Oceania"}]
[null,"Coir, raw",null,null,"Pineapples","Fruits","Fruits and vegetables",null,"North America and Oceania","Roots and tubers","Total Supply Chain Estimate","",0.16400000000000001,"North America"]
[null,"Copra",null,null,"Pistachios","Nuts/Seeds","Oilseeds and pulses",null,"South and Southeast Asia","Roots and tubers","Total Supply Chain Estimate","",9.8000000000000004E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Cow peas, dry",null,null,"Potatoes","Tubers/Root Crops","Roots and tubers",null,"Sub-Saharan Africa","Roots and tubers","Total Supply Chain Estimate","",0.10800000000000001,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"}]
[null,"Cranberries",null,null,"Quinoa","Nuts/Seeds","Oilseeds and pulses",null,"Europe (incl. Russia)","Cereals","Processing and packaging","Processing",0.05,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"}]
[null,"Cranberries and other fruits of the genus Vaccinium",null,null,"Rapeseeds","Nuts/Seeds","Oilseeds and pulses",null,"Industrialized Asia","Cereals","Processing and packaging","Processing",0.05,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Cucumbers and gherkins","Cucumbers",null,"Raspberries","Fruits","Fruits and vegetables",null,"Latin America","Cereals","Processing and packaging","Processing",0.04,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"}]
[null,"Currants",null,null,"Rice","Pulses & Grains","Cereals",null,"North Africa, West and Central Asia","Cereals","Processing and packaging","Processing",0.04,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,"Dairy products n.e.c.",null,null,"Rye","Pulses & Grains","Cereals",null,"North America and Oceania","Cereals","Processing and packaging","Processing",0.05,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Oceania"}]
[null,"Dates",null,null,"Salmon","Animal Protein","Fish and seafood",null,"North America and Oceania","Cereals","Processing and packaging","Processing",0.05,"North America"]
[null,"Edible offal of cattle, fresh, chilled or frozen",null,null,"Sesame seed","Nuts/Seeds","Oilseeds and pulses",null,"South and Southeast Asia","Cereals","Processing and packaging","Processing",3.5000000000000003E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Edible offal of pigs, fresh, chilled or frozen","Meat (Pigs)",null,"Shrimp","Animal Protein","Fish and seafood",null,"Sub-Saharan Africa","Cereals","Processing and packaging","Processing",3.5000000000000003E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"}]
[null,"Edible roots and tubers with high starch or inulin content, n.e., fresh",null,null,"Sorghum","Pulses & Grains","Cereals",null,"Europe (incl. Russia)","Fish and seafood","Processing and packaging","Processing",0.06,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"}]
[null,"Edible roots and tubers with high starch or inulin content, n.e.c., dry",null,null,"Soybeans","Pulses & Grains","Oilseeds and pulses",null,"Industrialized Asia","Fish and seafood","Processing and packaging","Processing",0.06,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Edible roots and tubers with high starch or inulin content, n.e.c., fresh",null,null,"Spinach","Vegetables","Fruits and vegetables",null,"Latin America","Fish and seafood","Processing and packaging","Processing",0.09,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"}]
[null,"Eggplants (aubergines)",null,null,"Strawberries","Fruits","Fruits and vegetables",null,"North Africa, West and Central Asia","Fish and seafood","Processing and packaging","Processing",0.09,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,"Figs",null,null,"Sugar cane","Tubers/Root Crops","Roots and tubers",null,"North America and Oceania","Fish and seafood","Processing and packaging","Processing",0.06,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Oceania"}]
[null,"Flax, raw or retted",null,null,"Sunflower oil","Nuts/Seeds","Oilseeds and pulses",null,"North America and Oceania","Fish and seafood","Processing and packaging","Processing",0.06,"North America"]
[null,"Flour of buckwheat",null,null,"Sunflower seeds","Nuts/Seeds","Oilseeds and pulses",null,"South and Southeast Asia","Fish and seafood","Processing and packaging","Processing",0.09,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Flour of cassava",null,null,"Sweet peppers","Vegetables","Fruits and vegetables",null,"Sub-Saharan Africa","Fish and seafood","Processing and packaging","Processing",0.09,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"}]
[null,"Flour of Maize",null,null,"Sweet potatoes","Tubers/Root Crops","Roots and tubers",null,"Europe (incl. Russia)","Fruits and vegetables","Processing and packaging","Processing",0.02,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"}]
[null,"Flour of triticale",null,null,"Tilapia","Animal Protein","Fish and seafood",null,"Industrialized Asia","Fruits and vegetables","Processing and packaging","Processing",0.02,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Fonio",null,null,"Tomatoes","Fruits","Fruits and vegetables",null,"Latin America","Fruits and vegetables","Processing and packaging","Processing",0.2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"}]
[null,"Ginger, raw",null,null,"Tuna","Animal Protein","Fish and seafood",null,"North Africa, West and Central Asia","Fruits and vegetables","Processing and packaging","Processing",0.2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,"Goats",null,null,"Walnuts","Nuts/Seeds","Oilseeds and pulses",null,"North America and Oceania","Fruits and vegetables","Processing and packaging","Processing",0.02,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Oceania"}]
[null,"Gooseberries",null,null,"Watermelons","Fruits","Fruits and vegetables",null,"North America and Oceania","Fruits and vegetables","Processing and packaging","Processing",0.02,"North America"]
[null,"Grape juice",null,null,"Wheat","Pulses & Grains","Cereals",null,"South and Southeast Asia","Fruits and vegetables","Processing and packaging","Processing",0.25,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Grapefruit juice",null,null,"Yoghurt","Animal Protein","Milk",null,"Sub-Saharan Africa","Fruits and vegetables","Processing and packaging","Processing",0.25,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"}]
[null,"Grapes","Grapes",null,null,null,null,null,"Europe (incl. Russia)","Meat","Processing and packaging","Processing",0.05,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"}]
[null,"Green corn (maize)",null,null,null,null,null,null,"Industrialized Asia","Meat","Processing and packaging","Processing",0.05,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Green garlic","Garlic (green)",null,null,null,null,null,"Latin America","Meat","Processing and packaging","Processing",0.05,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"}]
[null,"Groundnuts, excluding shelled",null,null,null,null,null,null,"North Africa, West and Central Asia","Meat","Processing and packaging","Processing",0.05,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,"Groundnuts, shelled","Peanuts",null,null,null,null,null,"North America and Oceania","Meat","Processing and packaging","Processing",0.05,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Oceania"}]
[null,"Hazelnuts, in shell","Hazelnuts",null,null,null,null,null,"North America and Oceania","Meat","Processing and packaging","Processing",0.05,"North America"]
[null,"Hempseed",null,null,null,null,null,null,"South and Southeast Asia","Meat","Processing and packaging","Processing",0.05,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Hen eggs in shell, fresh","Eggs",null,null,null,null,null,"Sub-Saharan Africa","Meat","Processing and packaging","Processing",0.05,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"}]
[null,"Hop cones",null,null,null,null,null,null,"Europe (incl. Russia)","Milk","Processing and packaging","Processing",1.2E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"}]
[null,"Husked rice","Rice",null,null,null,null,null,"Industrialized Asia","Milk","Processing and packaging","Processing",1.2E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Jojoba seeds",null,null,null,null,null,null,"Latin America","Milk","Processing and packaging","Processing",0.02,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"}]
[null,"Juice of citrus fruit n.e.c.",null,null,null,null,null,null,"North Africa, West and Central Asia","Milk","Processing and packaging","Processing",0.02,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,"Juice of lemon",null,null,null,null,null,null,"North America and Oceania","Milk","Processing and packaging","Processing",1.2E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Oceania"}]
[null,"Jute, raw or retted",null,null,null,null,null,null,"North America and Oceania","Milk","Processing and packaging","Processing",1.2E-2,"North America"]
[null,"Kapok fruit",null,null,null,null,null,null,"South and Southeast Asia","Milk","Processing and packaging","Processing",0.02,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Karite nuts (sheanuts)",null,null,null,null,null,null,"Sub-Saharan Africa","Milk","Processing and packaging","Processing",1E-3,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"}]
[null,"Kenaf, and other textile bast fibres, raw or retted",null,null,null,null,null,null,"Europe (incl. Russia)","Oilseeds and pulses","Processing and packaging","Processing",0.05,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"}]
[null,"Kiwi fruit",null,null,null,null,null,null,"Industrialized Asia","Oilseeds and pulses","Processing and packaging","Processing",0.05,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Kola nuts",null,null,null,null,null,null,"Latin America","Oilseeds and pulses","Processing and packaging","Processing",0.08,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"}]
[null,"Leeks and other alliaceous vegetables",null,null,null,null,null,null,"North Africa, West and Central Asia","Oilseeds and pulses","Processing and packaging","Processing",0.08,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,"Lemons and limes","Lemons",null,null,null,null,null,"North America and Oceania","Oilseeds and pulses","Processing and packaging","Processing",0.05,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Oceania"}]
[null,"Lentils, dry","Lentils",null,null,null,null,null,"North America and Oceania","Oilseeds and pulses","Processing and packaging","Processing",0.05,"North America"]
[null,"Lettuce and chicory","Lettuce",null,null,null,null,null,"South and Southeast Asia","Oilseeds and pulses","Processing and packaging","Processing",0.08,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Linseed",null,null,null,null,null,null,"Sub-Saharan Africa","Oilseeds and pulses","Processing and packaging","Processing",0.08,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"}]
[null,"Locust beans (carobs)",null,null,null,null,null,null,"Europe (incl. Russia)","Roots and tubers","Processing and packaging","Processing",0.15,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"}]
[null,"Lupins",null,null,null,null,null,null,"Industrialized Asia","Roots and tubers","Processing and packaging","Processing",0.15,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Maize (corn)","Maize",null,null,null,null,null,"Latin America","Roots and tubers","Processing and packaging","Processing",0.12,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"}]
[null,"Mangoes, guavas and mangosteens","Mangoes",null,null,null,null,null,"North Africa, West and Central Asia","Roots and tubers","Processing and packaging","Processing",0.12,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,"Mangoes, guavas, mangosteens","Mangoes",null,null,null,null,null,"North America and Oceania","Roots and tubers","Processing and packaging","Processing",0.15,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Oceania"}]
[null,"Maté leaves",null,null,null,null,null,null,"North America and Oceania","Roots and tubers","Processing and packaging","Processing",0.15,"North America"]
[null,"Meat of cattle boneless, fresh or chilled","Meat (Cattle)",null,null,null,null,null,"South and Southeast Asia","Roots and tubers","Processing and packaging","Processing",0.1,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Meat of cattle with the bone, fresh or chilled","Meat (Cattle)",null,null,null,null,null,"Sub-Saharan Africa","Roots and tubers","Processing and packaging","Processing",0.15,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"}]
[null,"Meat of cattle, fresh or chilled","Meat (Cattle)",null,null,null,null,null,"Europe (incl. Russia)","Cereals","Agricultural production","Production",0.02,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"}]
[null,"Meat of chickens, fresh or chilled","Meat (Chicken)",null,null,null,null,null,"Industrialized Asia","Cereals","Agricultural production","Production",0.02,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Meat of goat, fresh or chilled",null,null,null,null,null,null,"Latin America","Cereals","Agricultural production","Production",0.06,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"}]
[null,"Meat of goat, fresh or chilled (indigenous)",null,null,null,null,null,null,"North Africa, West and Central Asia","Cereals","Agricultural production","Production",0.06,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,"Meat of other domestic camelids (fresh)",null,null,null,null,null,null,"North America and Oceania","Cereals","Agricultural production","Production",0.02,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Oceania"}]
[null,"Meat of pig boneless (pork), fresh or chilled","Meat (Pigs)",null,null,null,null,null,"North America and Oceania","Cereals","Agricultural production","Production",0.02,"North America"]
[null,"Meat of pig with the bone, fresh or chilled","Meat (Pigs)",null,null,null,null,null,"South and Southeast Asia","Cereals","Agricultural production","Production",0.06,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Meat of sheep, fresh or chilled",null,null,null,null,null,null,"Europe (incl. Russia)","Fish and seafood","Agricultural production","Production",9.4E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"}]
[null,"Millet","Millet",null,null,null,null,null,"Latin America","Fish and seafood","Agricultural production","Production",5.7000000000000002E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"}]
[null,"Mustard seed",null,null,null,null,null,null,"North America and Oceania","Fish and seafood","Agricultural production","Production",0.12,"North America"]
[null,"Natural rubber in primary forms",null,null,null,null,null,null,"Sub-Saharan Africa","Fish and seafood","Agricultural production","Production",5.7000000000000002E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"}]
[null,"Okra",null,null,null,null,null,null,"North Africa, West and Central Asia","Fruits and vegetables","Agricultural production","Production",0.17,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,"Onions and shallots, dry (excluding dehydrated)","Onions (dry)",null,null,null,null,null,"South and Southeast Asia","Fruits and vegetables","Agricultural production","Production",0.15,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Orange juice",null,null,null,null,null,null,"Europe (incl. Russia)","Meat","Agricultural production","Production",3.1E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"}]
[null,"Oranges","Oranges",null,null,null,null,null,"Industrialized Asia","Meat","Agricultural production","Production",2.9000000000000001E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Other cereals n.e.",null,null,null,null,null,null,"North America and Oceania","Meat","Agricultural production","Production",3.5000000000000003E-2,"North America"]
[null,"Other citrus fruit, n.e.c.",null,null,null,null,null,null,"Sub-Saharan Africa","Meat","Agricultural production","Production",0.15,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"}]
[null,"Other fruits, n.e.c.",null,null,null,null,null,null,"Latin America","Milk","Agricultural production","Production",3.5000000000000003E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"}]
[null,"Other oil seeds, n.e.c.",null,null,null,null,null,null,"South and Southeast Asia","Milk","Agricultural production","Production",3.5000000000000003E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Other pulses n.e.c.",null,null,null,null,null,null,"Europe (incl. Russia)","Oilseeds and pulses","Agricultural production","Production",0.1,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"}]
[null,"Other sugar crops n.e.c.",null,null,null,null,null,null,"North Africa, West and Central Asia","Oilseeds and pulses","Agricultural production","Production",0.15,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,"Other tropical and subtropical fruits, n.e.",null,null,null,null,null,null,"North America and Oceania","Oilseeds and pulses","Agricultural production","Production",0.12,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Oceania"}]
[null,"Other vegetables, fresh n.e.",null,null,null,null,null,null,"Sub-Saharan Africa","Oilseeds and pulses","Agricultural production","Production",0.12,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"}]
[null,"Peaches and nectarines",null,null,null,null,null,null,"Latin America","Roots and tubers","Agricultural production","Production",0.14000000000000001,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"}]
[null,"Peas, green",null,null,null,null,null,null,"North America and Oceania","Roots and tubers","Agricultural production","Production",0.2,"North America"]
[null,"Peppermint, spearmint",null,null,null,null,null,null,"Europe (incl. Russia)","Cereals","Distribution","Retail",0.02,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"}]
[null,"Pig, Butcher Fat",null,null,null,null,null,null,"North Africa, West and Central Asia","Cereals","Distribution","Retail",0.04,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,"Pineapples","Pineapples",null,null,null,null,null,"South and Southeast Asia","Cereals","Distribution","Retail",0.02,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Pistachios, in shell","Pistachios",null,null,null,null,null,"Sub-Saharan Africa","Cereals","Distribution","Retail",0.02,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"}]
[null,"Plantains and others",null,null,null,null,null,null,"Industrialized Asia","Fish and seafood","Distribution","Retail",0.11,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,"Pomelos and grapefruits",null,null,null,null,null,null,"North America and Oceania","Fish and seafood","Distribution","Retail",0.09,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Oceania"}]
[null,"Pumpkins, squash and gourds",null,null,null,null,null,null,"Europe (incl. Russia)","Fruits and vegetables","Distribution","Retail",0.1,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"}]
[null,"Quinces",null,null,null,null,null,null,"Latin America","Fruits and vegetables","Distribution","Retail",0.12,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"}]
[null,"Ramie, raw or retted",null,null,null,null,null,null,"North America and Oceania","Fruits and vegetables","Distribution","Retail",0.12,"North America"]
[null,"Rapeseed or colza seed","Rapeseeds",null,null,null,null,null,"Sub-Saharan Africa","Fruits and vegetables","Distribution","Retail",0.17,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"}]
[null,"Raw milk of cattle","Milk (cattle)",null,null,null,null,null,"North Africa, West and Central Asia","Meat","Distribution","Retail",0.05,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,"Raw milk of goats",null,null,null,null,null,null,"North America and Oceania","Meat","Distribution","Retail",0.04,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Oceania"},null,"IFC","FAO","Storage","Transport"]
[null,"Rice, Broken","Rice",null,null,null,null,null,"Europe (incl. Russia)","Milk","Distribution","Retail",5.0000000000000001E-3,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"},null,"Pulses & Grains","Meat",0.7099333962158918,0.29006660378410809]
[null,"Rice, Milled","Rice",null,null,null,null,null,"Industrialized Asia","Milk","Distribution","Retail",5.0000000000000001E-3,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"},null,"Tubers/Root Crops","Milk",0.785485662566339,0.21451433743366111]
[null,"Seed cotton, unginned",null,null,null,null,null,null,"North America and Oceania","Milk","Distribution","Retail",5.0000000000000001E-3,"North America"]
[null,"Sheep",null,null,null,null,null,null,"Sub-Saharan Africa","Milk","Distribution","Retail",0.1,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"},null,null,null,null,null,"Storage","Transport"]
[null,"Sorghum","Sorghum",null,null,null,null,null,"Latin America","Oilseeds and pulses","Distribution","Retail",0.02,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"},null,null,"Fruits and vegetables",{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(Q217,IFC_Commodity_CommodityGroup[FAO commodity group],0))","v":"Fruits"},null,0.17148458437658326,0.8285154156234168]
[null,"Starch of Potatoes",null,null,null,null,null,null,"South and Southeast Asia","Oilseeds and pulses","Distribution","Retail",0.02,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"},null,null,"Roots and tubers",{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(Q221,IFC_Commodity_CommodityGroup[FAO commodity group],0))","v":"Tubers/Root Crops"},null,0.785485662566339,0.21451433743366111]
[null,"String beans",null,null,null,null,null,null,"Europe (incl. Russia)","Roots and tubers","Distribution","Retail",7.0000000000000007E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"},null,null,null,null,null,"Storage","Transport"]
[null,"Sugar and syrups n.e.c.",null,null,null,null,null,null,"Industrialized Asia","Roots and tubers","Distribution","Retail",0.09,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"},null,"Europe (incl. Russia)","Cereals","Post-harvest handling and storage",0.04,{"$f":"INDEX(T$215:T$221,MATCH($Q224,$Q$215:$Q$221,0))*$S224","v":2.8397335848635671E-2},{"$f":"INDEX(U$215:U$221,MATCH($Q224,$Q$215:$Q$221,0))*$S224","v":1.1602664151364324E-2}]
[null,"Sunflower seed","Sunflower seeds",null,null,null,null,null,"North America and Oceania","Roots and tubers","Distribution","Retail",7.0000000000000007E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Oceania"},null,"North Africa, West and Central Asia","Cereals","Post-harvest handling and storage",0.08,5.6794671697271343E-2,2.3205328302728648E-2]
[null,"Sweet corn, frozen",null,null,null,null,null,null,"Sub-Saharan Africa","Roots and tubers","Distribution","Retail",0.05,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"},null,"Sub-Saharan Africa","Cereals","Post-harvest handling and storage",0.08,5.6794671697271343E-2,2.3205328302728648E-2]
[null,"Tallowtree seeds",null,null,null,null,null,null,"Latin America","Cereals","Post-harvest handling and storage",null,0.04,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"},null,"Latin America","Fish and seafood","Post-harvest handling and storage",0.05,1.6398390342052312E-2,3.3601609657947687E-2]
[null,"Taro",null,null,null,null,null,null,"North America and Oceania","Cereals","Post-harvest handling and storage",null,0.02,"North America",null,"South and Southeast Asia","Fish and seafood","Post-harvest handling and storage",0.06,1.9678068410462775E-2,4.0321931589537223E-2]
[null,"Triticale",null,null,null,null,null,null,"Europe (incl. Russia)","Fish and seafood","Post-harvest handling and storage",null,5.0000000000000001E-3,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"},null,"Industrialized Asia","Fruits and vegetables","Post-harvest handling and storage",0.08,1.3718766750126661E-2,6.6281233249873339E-2]
[null,"Uncooked pasta, not stuffed or otherwise prepared",null,null,null,null,null,null,"North Africa, West and Central Asia","Fish and seafood","Post-harvest handling and storage",null,0.05,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"},null,"North America and Oceania","Fruits and vegetables","Post-harvest handling and storage",0.04,6.8593833750633304E-3,3.314061662493667E-2]
[null,"Vegetable products, fresh or dry n.e.c.",null,null,null,null,null,null,"South and Southeast Asia","Fish and seafood","Post-harvest handling and storage",null,0.06,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"},null,"Europe (incl. Russia)","Meat","Post-harvest handling and storage",7.0000000000000001E-3,2.2957746478873241E-3,4.7042253521126761E-3]
[null,"Vetches",null,null,null,null,null,null,"Sub-Saharan Africa","Fish and seafood","Post-harvest handling and storage",null,0.06,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"},null,"Industrialized Asia","Meat","Post-harvest handling and storage",6.0000000000000001E-3,1.9678068410462777E-3,4.0321931589537225E-3]
[null,"Watermelons","Watermelons",null,null,null,null,null,"Industrialized Asia","Fruits and vegetables","Post-harvest handling and storage",null,0.08,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"},null,"North Africa, West and Central Asia","Meat","Post-harvest handling and storage",2E-3,6.5593561368209252E-4,1.3440643863179074E-3]
[null,"Wine",null,null,null,null,null,null,"North America and Oceania","Fruits and vegetables","Post-harvest handling and storage",null,0.04,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Oceania"},null,"Sub-Saharan Africa","Meat","Post-harvest handling and storage",7.0000000000000001E-3,2.2957746478873241E-3,4.7042253521126761E-3]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Meat","Post-harvest handling and storage",null,7.0000000000000001E-3,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"},null,"North Africa, West and Central Asia","Milk","Post-harvest handling and storage",0.06,1.9678068410462775E-2,4.0321931589537223E-2]
[null,null,null,null,null,null,null,null,"Latin America","Meat","Post-harvest handling and storage",null,1.0999999999999999E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"},null,"South and Southeast Asia","Milk","Post-harvest handling and storage",0.06,1.9678068410462775E-2,4.0321931589537223E-2]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Meat","Post-harvest handling and storage",null,3.0000000000000001E-3,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"},null,"Latin America","Oilseeds and pulses","Post-harvest handling and storage",0.03,2.9517241379310343E-2,4.8275862068965512E-4]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Meat","Post-harvest handling and storage",null,7.0000000000000001E-3,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"},null,"North Africa, West and Central Asia","Oilseeds and pulses","Post-harvest handling and storage",0.06,5.9034482758620686E-2,9.6551724137931025E-4]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Milk","Post-harvest handling and storage",null,0.06,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"},null,"Europe (incl. Russia)","Roots and tubers","Post-harvest handling and storage",0.09,7.0693709630970505E-2,1.9306290369029498E-2]
[null,null,null,null,null,null,null,null,"North America and Oceania","Milk","Post-harvest handling and storage",null,5.0000000000000001E-3,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Oceania"},null,"Industrialized Asia","Roots and tubers","Post-harvest handling and storage",7.0000000000000007E-2,5.4983996379643733E-2,1.5016003620356278E-2]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Oilseeds and pulses","Post-harvest handling and storage",null,0.01,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"},null,"South and Southeast Asia","Roots and tubers","Post-harvest handling and storage",0.19,0.14924227588760441,4.0757724112395609E-2]
[null,null,null,null,null,null,null,null,"Latin America","Oilseeds and pulses","Post-harvest handling and storage",null,0.03,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Oilseeds and pulses","Post-harvest handling and storage",null,0,"North America"]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Oilseeds and pulses","Post-harvest handling and storage",null,0.08,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"}]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Roots and tubers","Post-harvest handling and storage",null,0.1,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Roots and tubers","Post-harvest handling and storage",null,0.19,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Cereals","Consumption",null,0.25,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"}]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Cereals","Consumption",null,0.2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Cereals","Consumption",null,0.17,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Oceania"}]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Fish and seafood","Consumption",null,0.11,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"}]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Fish and seafood","Consumption",null,0.04,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Fish and seafood","Consumption",null,0.33,"North America"]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Fruits and vegetables","Consumption",null,0.15,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,null,null,null,null,null,null,null,"Latin America","Fruits and vegetables","Consumption",null,0.1,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"}]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Fruits and vegetables","Consumption",null,7.0000000000000007E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Fruits and vegetables","Consumption",null,0.05,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"}]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Meat","Consumption",null,0.08,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Meat","Consumption",null,0.11,"North America"]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Milk","Consumption",null,7.0000000000000007E-2,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"}]
[null,null,null,null,null,null,null,null,"Latin America","Milk","Consumption",null,0.04,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"}]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Milk","Consumption",null,0.01,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Oilseeds and pulses","Consumption",null,0.04,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Oilseeds and pulses","Consumption",null,0.02,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Oilseeds and pulses","Consumption",null,0.04,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Oceania"}]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Oilseeds and pulses","Consumption",null,0.01,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"}]
[null,null,null,null,null,null,null,null,"Latin America","Roots and tubers","Consumption",null,0.04,{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Roots and tubers","Consumption",null,0.3,"North America"]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Cereals","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$484:$L$490,MATCH(J343,$I$484:$I$490,0),MATCH(L343,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I343=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J343=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K343=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":2.9712269801762371E-2},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"}]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Cereals","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$484:$L$490,MATCH(J346,$I$484:$I$490,0),MATCH(L346,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I346=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J346=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K346=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":5.9424539603524743E-2},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Cereals","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$484:$L$490,MATCH(J349,$I$484:$I$490,0),MATCH(L349,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I349=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J349=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K349=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":5.1996472153084158E-2},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Cereals","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$484:$L$490,MATCH(J350,$I$484:$I$490,0),MATCH(L350,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I350=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J350=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K350=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":5.9424539603524743E-2},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"}]
[null,null,null,null,null,null,null,null,"Latin America","Fish and seafood","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$484:$L$490,MATCH(J353,$I$484:$I$490,0),MATCH(L353,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I353=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J353=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K353=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.6398390342052312E-2},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Fish and seafood","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$484:$L$490,MATCH(J355,$I$484:$I$490,0),MATCH(L355,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I355=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J355=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K355=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.639839034205231E-3},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Oceania"}]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Fruits and vegetables","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$484:$L$490,MATCH(J359,$I$484:$I$490,0),MATCH(L359,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I359=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J359=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K359=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.2272779156584082E-2},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"}]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Fruits and vegetables","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$484:$L$490,MATCH(J362,$I$484:$I$490,0),MATCH(L362,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I362=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J362=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K362=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":2.4545558313168164E-2},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Fruits and vegetables","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$484:$L$490,MATCH(J364,$I$484:$I$490,0),MATCH(L364,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I364=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J364=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K364=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":9.8182233252672654E-3},"North America"]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Meat","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$484:$L$490,MATCH(J368,$I$484:$I$490,0),MATCH(L368,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I368=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J368=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K368=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.9678068410462772E-3},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,null,null,null,null,null,null,null,"Latin America","Meat","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$484:$L$490,MATCH(J369,$I$484:$I$490,0),MATCH(L369,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I369=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J369=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K369=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":3.607645875251508E-3},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Meat","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$484:$L$490,MATCH(J371,$I$484:$I$490,0),MATCH(L371,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I371=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J371=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K371=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":3.279678068410462E-3},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Oceania"}]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Meat","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$484:$L$490,MATCH(J374,$I$484:$I$490,0),MATCH(L374,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I374=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J374=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K374=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":2.2957746478873236E-3},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"}]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Milk","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$484:$L$490,MATCH(J378,$I$484:$I$490,0),MATCH(L378,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I378=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J378=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K378=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.9678068410462771E-2},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Milk","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$484:$L$490,MATCH(J380,$I$484:$I$490,0),MATCH(L380,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I380=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J380=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K380=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.639839034205231E-3},"North America"]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Oilseeds and pulses","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$484:$L$490,MATCH(J383,$I$484:$I$490,0),MATCH(L383,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I383=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J383=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K383=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":7.9120256749103269E-3},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"}]
[null,null,null,null,null,null,null,null,"Latin America","Oilseeds and pulses","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$484:$L$490,MATCH(J385,$I$484:$I$490,0),MATCH(L385,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I385=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J385=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K385=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":2.3736077024730979E-2},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"}]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Oilseeds and pulses","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$484:$L$490,MATCH(J389,$I$484:$I$490,0),MATCH(L389,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I389=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J389=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K389=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":9.4944308098923916E-2},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Roots and tubers","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$484:$L$490,MATCH(J392,$I$484:$I$490,0),MATCH(L392,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I392=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J392=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K392=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":3.7106540439233032E-2},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Roots and tubers","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$484:$L$490,MATCH(J394,$I$484:$I$490,0),MATCH(L394,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I394=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J394=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K394=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":5.300934348461861E-2},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Roots and tubers","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$484:$L$490,MATCH(J395,$I$484:$I$490,0),MATCH(L395,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I395=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J395=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K395=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":5.300934348461861E-2},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Oceania"}]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Roots and tubers","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$484:$L$490,MATCH(J398,$I$484:$I$490,0),MATCH(L398,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I398=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J398=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K398=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":9.5416818272313492E-2},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"}]
[null,null,null,null,null,null,null,null,"Latin America","Cereals","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$484:$L$490,MATCH(J401,$I$484:$I$490,0),MATCH(L401,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I401=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J401=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K401=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.0287730198237624E-2},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Cereals","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$484:$L$490,MATCH(J404,$I$484:$I$490,0),MATCH(L404,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I404=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J404=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K404=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":5.1438650991188122E-3},"North America"]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Fish and seafood","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$484:$L$490,MATCH(J408,$I$484:$I$490,0),MATCH(L408,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I408=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J408=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K408=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.3440643863179074E-2},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Fish and seafood","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$484:$L$490,MATCH(J410,$I$484:$I$490,0),MATCH(L410,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I410=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J410=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K410=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":3.3601609657947687E-2},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Fish and seafood","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$484:$L$490,MATCH(J413,$I$484:$I$490,0),MATCH(L413,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I413=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J413=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K413=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":4.0321931589537223E-2},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Fish and seafood","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$484:$L$490,MATCH(J414,$I$484:$I$490,0),MATCH(L414,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I414=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J414=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K414=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":4.0321931589537223E-2},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"}]
[null,null,null,null,null,null,null,null,"Latin America","Fruits and vegetables","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$484:$L$490,MATCH(J417,$I$484:$I$490,0),MATCH(L417,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I417=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J417=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K417=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":7.5454441686831838E-2},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Fruits and vegetables","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$484:$L$490,MATCH(J420,$I$484:$I$490,0),MATCH(L420,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I420=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J420=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K420=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":3.0181776674732732E-2},"North America"]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Meat","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$484:$L$490,MATCH(J423,$I$484:$I$490,0),MATCH(L423,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I423=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J423=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K423=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":4.7042253521126761E-3},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"}]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Meat","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$484:$L$490,MATCH(J426,$I$484:$I$490,0),MATCH(L426,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I426=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J426=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K426=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.3440643863179074E-3},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Meat","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$484:$L$490,MATCH(J429,$I$484:$I$490,0),MATCH(L429,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I429=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J429=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K429=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":2.0160965794768612E-3},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Milk","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$484:$L$490,MATCH(J432,$I$484:$I$490,0),MATCH(L432,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I432=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J432=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K432=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":6.7203219315895369E-3},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[null,null,null,null,null,null,null,null,"Latin America","Milk","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$484:$L$490,MATCH(J433,$I$484:$I$490,0),MATCH(L433,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I433=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J433=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K433=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":4.0321931589537223E-2},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Milk","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$484:$L$490,MATCH(J435,$I$484:$I$490,0),MATCH(L435,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I435=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J435=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K435=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":3.3601609657947684E-3},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Oceania"}]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Milk","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$484:$L$490,MATCH(J438,$I$484:$I$490,0),MATCH(L438,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I438=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J438=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K438=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":7.3923541247484903E-2},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Sub-Saharan Africa"}]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Oilseeds and pulses","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$484:$L$490,MATCH(J442,$I$484:$I$490,0),MATCH(L442,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I442=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J442=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K442=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.2527845950538038E-2},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Middle East & North Africa"}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Oilseeds and pulses","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$484:$L$490,MATCH(J444,$I$484:$I$490,0),MATCH(L444,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I444=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J444=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K444=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":0},"North America"]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Roots and tubers","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$484:$L$490,MATCH(J447,$I$484:$I$490,0),MATCH(L447,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I447=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J447=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K447=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":4.2291590863843244E-2},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Europe & Central Asia"}]
[null,null,null,null,null,null,null,null,"Latin America","Roots and tubers","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$484:$L$490,MATCH(J449,$I$484:$I$490,0),MATCH(L449,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I449=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J449=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K449=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":6.5786919121533949E-2},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"Latin America and Caribbean"}]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Roots and tubers","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$484:$L$490,MATCH(J453,$I$484:$I$490,0),MATCH(L453,$K$483:$L$483,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I453=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J453=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K453=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":8.9282247379224633E-2},{"$f":"INDEX(RegionClassification[IFC Region],MATCH(FAOGlobalFoodLossEstimate[[#This Row],[FAO Wider Region]],RegionClassification[FAO region],0))","v":"East Asia and Pacific"}]
[]
[]
[null,null,null,null,null,null,null,null,"year","(Multiple Items)"]
[]
[null,null,null,null,null,null,null,null,"Average of loss_percentage","IFC Supply Chain Stage"]
[null,null,null,null,null,null,null,null,"IFC Category","Storage","Transport"]
[null,null,null,null,null,null,null,null,"Animal Protein",0.81499999999999995,1.6700000000000002]
[null,null,null,null,null,null,null,null,"Fruits",3.6129285714285717,11.106347826086955]
[null,null,null,null,null,null,null,null,"Nuts/Seeds",2.9935714285714292,0.79]
[null,null,null,null,null,null,null,null,"Pulses & Grains",3.6698693375174254,1.2706745684210539]
[null,null,null,null,null,null,null,null,"Tubers/Root Crops",6.4345833333333351,5.7040000000000006]
[null,null,null,null,null,null,null,null,"Mycoprotein",1.4566666666666668,0.77]
[]
[]
[null,null,null,null,null,null,null,null,null,"Distribution of losses"]
[null,null,null,null,null,null,null,null,"IFC category","Storage","Transport"]
[null,null,null,null,null,null,null,null,{"$f":"I464","v":"Animal Protein"},{"$f":"J464/SUM($J464:$K464)","v":0.32796780684104621},0.67203219315895368]
[null,null,null,null,null,null,null,null,{"$f":"I465","v":"Fruits"},{"$f":"J465/SUM($J465:$K465)","v":0.24545558313168162},0.7545444168683183]
[null,null,null,null,null,null,null,null,"Nuts/Seeds",0.79120256749103268,0.20879743250896732]
[null,null,null,null,null,null,null,null,"Pulses & Grains",0.7428067450440593,0.25719325495594059]
[null,null,null,null,null,null,null,null,"Tubers/Root Crops",0.5300934348461861,0.46990656515381385]
[null,null,null,null,null,null,null,null,"Mycoprotein",0.65419161676646709,0.34580838323353297]
[null,null,null,null,null,null,null,null,{"$f":"I470","v":0},{"$error":"#DIV/0!"},{"$error":"#DIV/0!"}]
[]
[null,null,null,null,null,null,null,null,null,null,"Distribution of losses"]
[null,null,null,null,null,null,null,null,"FAO commodity","IFC Commodity","Storage","Transport"]
[null,null,null,null,null,null,null,null,"Cereals",{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(I484,IFC_Commodity_CommodityGroup[FAO commodity group],0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(Table82[Storage],MATCH(Table83[[#This Row],[IFC Commodity]],Table82[IFC category],0)),\"\")","v":0.7428067450440593},{"$f":"IFERROR(INDEX(Table82[Transport],MATCH(Table83[[#This Row],[IFC Commodity]],Table82[IFC category],0)),\"\")","v":0.25719325495594059}]
[null,null,null,null,null,null,null,null,"Fish and seafood",{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(I485,IFC_Commodity_CommodityGroup[FAO commodity group],0)),\"\")","v":"Animal Protein"},{"$f":"IFERROR(INDEX(Table82[Storage],MATCH(Table83[[#This Row],[IFC Commodity]],Table82[IFC category],0)),\"\")","v":0.32796780684104621},{"$f":"IFERROR(INDEX(Table82[Transport],MATCH(Table83[[#This Row],[IFC Commodity]],Table82[IFC category],0)),\"\")","v":0.67203219315895368}]
[null,null,null,null,null,null,null,null,"Fruits and vegetables",{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(I486,IFC_Commodity_CommodityGroup[FAO commodity group],0)),\"\")","v":"Fruits"},{"$f":"IFERROR(INDEX(Table82[Storage],MATCH(Table83[[#This Row],[IFC Commodity]],Table82[IFC category],0)),\"\")","v":0.24545558313168162},{"$f":"IFERROR(INDEX(Table82[Transport],MATCH(Table83[[#This Row],[IFC Commodity]],Table82[IFC category],0)),\"\")","v":0.7545444168683183}]
[null,null,null,null,null,null,null,null,"Meat",{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(I487,IFC_Commodity_CommodityGroup[FAO commodity group],0)),\"\")","v":"Animal Protein"},{"$f":"IFERROR(INDEX(Table82[Storage],MATCH(Table83[[#This Row],[IFC Commodity]],Table82[IFC category],0)),\"\")","v":0.32796780684104621},{"$f":"IFERROR(INDEX(Table82[Transport],MATCH(Table83[[#This Row],[IFC Commodity]],Table82[IFC category],0)),\"\")","v":0.67203219315895368}]
[null,null,null,null,null,null,null,null,"Milk",{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(I488,IFC_Commodity_CommodityGroup[FAO commodity group],0)),\"\")","v":"Animal Protein"},{"$f":"IFERROR(INDEX(Table82[Storage],MATCH(Table83[[#This Row],[IFC Commodity]],Table82[IFC category],0)),\"\")","v":0.32796780684104621},{"$f":"IFERROR(INDEX(Table82[Transport],MATCH(Table83[[#This Row],[IFC Commodity]],Table82[IFC category],0)),\"\")","v":0.67203219315895368}]
[null,null,null,null,null,null,null,null,"Oilseeds and pulses",{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(I489,IFC_Commodity_CommodityGroup[FAO commodity group],0)),\"\")","v":"Nuts/Seeds"},{"$f":"IFERROR(INDEX(Table82[Storage],MATCH(Table83[[#This Row],[IFC Commodity]],Table82[IFC category],0)),\"\")","v":0.79120256749103268},{"$f":"IFERROR(INDEX(Table82[Transport],MATCH(Table83[[#This Row],[IFC Commodity]],Table82[IFC category],0)),\"\")","v":0.20879743250896732}]
[null,null,null,null,null,null,null,null,"Roots and tubers",{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(I490,IFC_Commodity_CommodityGroup[FAO commodity group],0)),\"\")","v":"Tubers/Root Crops"},{"$f":"IFERROR(INDEX(Table82[Storage],MATCH(Table83[[#This Row],[IFC Commodity]],Table82[IFC category],0)),\"\")","v":0.5300934348461861},{"$f":"IFERROR(INDEX(Table82[Transport],MATCH(Table83[[#This Row],[IFC Commodity]],Table82[IFC category],0)),\"\")","v":0.46990656515381385}]

{"sheet":"FL-Custom-LR","index":19,"n_rows":32,"n_cols":8,"rows_kept":32,"cut":false,"hidden":true,"merged":[[2,1,2,7]]}
[]
[null,"Food loss rates custom database"]
[null,"Provide a custom estimate in the table below to override empirical estimates from the FAO database. If provided, a country-level estimate will have priority over a regional estimate.\n\nNB: estimates must be unique per combination of Country/Region, Commodity, and Supply chain stage."]
[]
[null,"Type directly below the last row to automatically expand the table"]
[null,"Concatenate\n(do not edit)","Country/Region name","Commodity\n(drop-down)","Supply Chain Stage\n(drop-down)","Loss rate","Source","Notes"]
[null,{"$f":"LossRateUserDatabase[[#This Row],[Country/Region name]]&LossRateUserDatabase[[#This Row],[Commodity\n(drop-down)]]&LossRateUserDatabase[[#This Row],[Supply Chain Stage\n(drop-down)]]","v":"Sub-Saharan AfricaSweet PotatoesTransport"},"Sub-Saharan Africa","Sweet Potatoes","Transport",0.3352,"link","Average of upper and lower bound reported in the study"]
[null,{"$f":"LossRateUserDatabase[[#This Row],[Country/Region name]]&LossRateUserDatabase[[#This Row],[Commodity\n(drop-down)]]&LossRateUserDatabase[[#This Row],[Supply Chain Stage\n(drop-down)]]","v":""}]
[null,{"$f":"LossRateUserDatabase[[#This Row],[Country/Region name]]&LossRateUserDatabase[[#This Row],[Commodity\n(drop-down)]]&LossRateUserDatabase[[#This Row],[Supply Chain Stage\n(drop-down)]]","v":""}]
[null,{"$f":"LossRateUserDatabase[[#This Row],[Country/Region name]]&LossRateUserDatabase[[#This Row],[Commodity\n(drop-down)]]&LossRateUserDatabase[[#This Row],[Supply Chain Stage\n(drop-down)]]","v":""}]
[null,{"$f":"LossRateUserDatabase[[#This Row],[Country/Region name]]&LossRateUserDatabase[[#This Row],[Commodity\n(drop-down)]]&LossRateUserDatabase[[#This Row],[Supply Chain Stage\n(drop-down)]]","v":""}]
[null,{"$f":"LossRateUserDatabase[[#This Row],[Country/Region name]]&LossRateUserDatabase[[#This Row],[Commodity\n(drop-down)]]&LossRateUserDatabase[[#This Row],[Supply Chain Stage\n(drop-down)]]","v":""}]
[null,{"$f":"LossRateUserDatabase[[#This Row],[Country/Region name]]&LossRateUserDatabase[[#This Row],[Commodity\n(drop-down)]]&LossRateUserDatabase[[#This Row],[Supply Chain Stage\n(drop-down)]]","v":""}]
[null,{"$f":"LossRateUserDatabase[[#This Row],[Country/Region name]]&LossRateUserDatabase[[#This Row],[Commodity\n(drop-down)]]&LossRateUserDatabase[[#This Row],[Supply Chain Stage\n(drop-down)]]","v":""}]
[null,{"$f":"LossRateUserDatabase[[#This Row],[Country/Region name]]&LossRateUserDatabase[[#This Row],[Commodity\n(drop-down)]]&LossRateUserDatabase[[#This Row],[Supply Chain Stage\n(drop-down)]]","v":""}]
[null,{"$f":"LossRateUserDatabase[[#This Row],[Country/Region name]]&LossRateUserDatabase[[#This Row],[Commodity\n(drop-down)]]&LossRateUserDatabase[[#This Row],[Supply Chain Stage\n(drop-down)]]","v":""}]
[null,{"$f":"LossRateUserDatabase[[#This Row],[Country/Region name]]&LossRateUserDatabase[[#This Row],[Commodity\n(drop-down)]]&LossRateUserDatabase[[#This Row],[Supply Chain Stage\n(drop-down)]]","v":""}]
[null,{"$f":"LossRateUserDatabase[[#This Row],[Country/Region name]]&LossRateUserDatabase[[#This Row],[Commodity\n(drop-down)]]&LossRateUserDatabase[[#This Row],[Supply Chain Stage\n(drop-down)]]","v":""}]
[null,{"$f":"LossRateUserDatabase[[#This Row],[Country/Region name]]&LossRateUserDatabase[[#This Row],[Commodity\n(drop-down)]]&LossRateUserDatabase[[#This Row],[Supply Chain Stage\n(drop-down)]]","v":""}]
[null,{"$f":"LossRateUserDatabase[[#This Row],[Country/Region name]]&LossRateUserDatabase[[#This Row],[Commodity\n(drop-down)]]&LossRateUserDatabase[[#This Row],[Supply Chain Stage\n(drop-down)]]","v":""}]
[null,{"$f":"LossRateUserDatabase[[#This Row],[Country/Region name]]&LossRateUserDatabase[[#This Row],[Commodity\n(drop-down)]]&LossRateUserDatabase[[#This Row],[Supply Chain Stage\n(drop-down)]]","v":""}]
[null,{"$f":"LossRateUserDatabase[[#This Row],[Country/Region name]]&LossRateUserDatabase[[#This Row],[Commodity\n(drop-down)]]&LossRateUserDatabase[[#This Row],[Supply Chain Stage\n(drop-down)]]","v":""}]
[null,{"$f":"LossRateUserDatabase[[#This Row],[Country/Region name]]&LossRateUserDatabase[[#This Row],[Commodity\n(drop-down)]]&LossRateUserDatabase[[#This Row],[Supply Chain Stage\n(drop-down)]]","v":""}]
[null,{"$f":"LossRateUserDatabase[[#This Row],[Country/Region name]]&LossRateUserDatabase[[#This Row],[Commodity\n(drop-down)]]&LossRateUserDatabase[[#This Row],[Supply Chain Stage\n(drop-down)]]","v":""}]
[null,{"$f":"LossRateUserDatabase[[#This Row],[Country/Region name]]&LossRateUserDatabase[[#This Row],[Commodity\n(drop-down)]]&LossRateUserDatabase[[#This Row],[Supply Chain Stage\n(drop-down)]]","v":""}]
[null,{"$f":"LossRateUserDatabase[[#This Row],[Country/Region name]]&LossRateUserDatabase[[#This Row],[Commodity\n(drop-down)]]&LossRateUserDatabase[[#This Row],[Supply Chain Stage\n(drop-down)]]","v":""}]
[null,{"$f":"LossRateUserDatabase[[#This Row],[Country/Region name]]&LossRateUserDatabase[[#This Row],[Commodity\n(drop-down)]]&LossRateUserDatabase[[#This Row],[Supply Chain Stage\n(drop-down)]]","v":""}]
[null,{"$f":"LossRateUserDatabase[[#This Row],[Country/Region name]]&LossRateUserDatabase[[#This Row],[Commodity\n(drop-down)]]&LossRateUserDatabase[[#This Row],[Supply Chain Stage\n(drop-down)]]","v":""}]
[null,{"$f":"LossRateUserDatabase[[#This Row],[Country/Region name]]&LossRateUserDatabase[[#This Row],[Commodity\n(drop-down)]]&LossRateUserDatabase[[#This Row],[Supply Chain Stage\n(drop-down)]]","v":""}]
[null,{"$f":"LossRateUserDatabase[[#This Row],[Country/Region name]]&LossRateUserDatabase[[#This Row],[Commodity\n(drop-down)]]&LossRateUserDatabase[[#This Row],[Supply Chain Stage\n(drop-down)]]","v":""}]
[null,{"$f":"LossRateUserDatabase[[#This Row],[Country/Region name]]&LossRateUserDatabase[[#This Row],[Commodity\n(drop-down)]]&LossRateUserDatabase[[#This Row],[Supply Chain Stage\n(drop-down)]]","v":""}]
[null,{"$f":"LossRateUserDatabase[[#This Row],[Country/Region name]]&LossRateUserDatabase[[#This Row],[Commodity\n(drop-down)]]&LossRateUserDatabase[[#This Row],[Supply Chain Stage\n(drop-down)]]","v":""}]

{"sheet":"Landfill >>","index":20,"n_rows":8,"n_cols":2,"rows_kept":8,"cut":false,"hidden":true,"merged":[[4,1,4,15],[5,1,5,15],[6,1,6,15],[7,1,7,15]]}
[]
[null,"Landfill"]
[null,"This section includes tables, databases, and other data used to estimate transport emissions."]
[]
[null,"1. …"]
[null,"2.  …"]
[null,"3. …"]
[null,"4. …"]

{"sheet":"LF-Calcs","index":21,"n_rows":111,"n_cols":104,"rows_kept":111,"cut":false,"hidden":true,"merged":[[10,2,10,3],[23,1,23,5]]}
[]
[null,"Landfill Methane Model"]
[]
[null,"1. Background information and variables"]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Landfill","Final Output","User data","Default"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Climate Zone",{"$f":"IF(Interface!H97<>\"\",Interface!H97,'LF-Calcs'!T7)","v":{"$error":"#REF!"}},{"$f":"Interface!$H$97","v":0},{"$f":"INDEX(Countries[#All],MATCH(country,Countries[[#All],[Country]],0),MATCH(Q7,Countries[#Headers],0))","v":{"$error":"#REF!"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Landfill CH4 Collection Efficiency",{"$f":"INDEX('LF-Calcs'!$C$61:$C$64,MATCH(R7,'LF-Calcs'!$B$61:$B$64,0))","v":{"$error":"#REF!"}},{"$f":"INDEX('LF-Calcs'!$C$61:$C$64,MATCH(S7,'LF-Calcs'!$B$61:$B$64,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Countries[#All],MATCH(country,Countries[[#All],[Country]],0),MATCH(Q8,Countries[#Headers],0))","v":{"$error":"#REF!"}}]
["to delete?",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Landfill CH4 Correction Factor",{"$f":"IF(landfillTypeUserDefined<>\"\",S9,T9)","v":{"$error":"#NAME?"}},{"$f":"INDEX('LF-destination'!$C$12:$H$12,MATCH(landfillTypeUserDefined,'LF-destination'!$C$11:$H$11,0))","v":{"$error":"#NAME?"}},{"$f":"INDEX(LandfillMethaneCorrectionFactors[#All],MATCH(country,LandfillMethaneCorrectionFactors[[#All],[Country]],0),MATCH(Q9,LandfillMethaneCorrectionFactors[#Headers],0))","v":{"$error":"#REF!"}}]
[null,"MSW deposited (t/y)",1,null,null,null,null,null,null,null,null,null,null,null,null,null,"Landfill rate",{"$f":"IF('LF-Calcs'!S10<>\"\",'LF-Calcs'!S10,'LF-Calcs'!T10)","v":{"$error":"#REF!"}},{"$f":"IF(userWasteToLandfillProduction<>\"\",userWasteToLandfillProduction,\"\")","v":""},{"$f":"INDEX(LandfillMethaneCorrectionFactors[#All],MATCH(country,LandfillMethaneCorrectionFactors[[#All],[Country]],0),MATCH(Q10,LandfillMethaneCorrectionFactors[#Headers],0))","v":{"$error":"#REF!"}}]
[null,"Climatic region",{"$f":"R7","v":{"$error":"#REF!"}},null,null,null,null,null,null,null,null,null,null,null,null,null,"Avoided losses to landfill  (tonne)",{"$f":"SUM(Interface!#REF!)*defaultWasteToLandfill","v":{"$error":"#REF!"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Emissions per tonne (tCO2e/tonne crop)",{"$f":"IFERROR(IF(landfillUserDefinedEF<>\"\",landfillUserDefinedEF,$C$110),\"\")","v":""}]
[null,"Waste type","% of MSW","DOCj (wet)","kj",null,"φ",1,null,"kj","Temperate, dry","Temperate, wet","Tropical, dry","Tropical, wet"]
[null,"Wood and wood products",0,0.43,{"$f":"HLOOKUP($R$7,$K$13:$N$17,3)","v":{"$error":"#REF!"}},null,"GWP",28,null,"Paper, textiles",0.04,0.06,4.4999999999999998E-2,7.0000000000000007E-2]
[null,"Paper, cardboard, pulp",0,0.4,{"$f":"HLOOKUP($R$7,$K$13:$N$17,2)","v":{"$error":"#REF!"}},null,"OX",0,null,"Wood",0.02,0.03,3.5000000000000003E-2,3.5000000000000003E-2]
[null,"Food waste",1,0.15,{"$f":"HLOOKUP($R$7,$K$13:$N$17,5)","v":{"$error":"#REF!"}},null,"F",0.5,null,"Garden",0.05,0.1,6.5000000000000002E-2,0.17]
[null,"Textiles",0,0.24,{"$f":"HLOOKUP($R$7,$K$13:$N$17,2)","v":{"$error":"#REF!"}},null,"DOCf",0.5,null,"Food",0.06,0.185,8.5000000000000006E-2,0.4]
[null,"Garden waste",0,0.2,{"$f":"HLOOKUP($R$7,$K$13:$N$17,4)","v":{"$error":"#REF!"}},null,"f",{"$f":"R8","v":{"$error":"#REF!"}},"to delete? Fetched from the table below"]
[null,"Inert waste",0,0,0,null,"MCF",{"$f":"R9","v":{"$error":"#NAME?"}},"to delete? Fetched from the table below"]
[null,null,{"$f":"SUM(C14:C19)","v":1}]
[null,null,null,null,null,null,"f is flare rate, but R8 says it is collection rate - do we need (1 - f) instead?"]
[]
[null,"Correspondence between IPCC Methane Correction Factor categories and WB Waste disposal destinations from 'What a Waste 2.0'"]
[null,"Source:\nSee report: https://openknowledge.worldbank.org/entities/publication/d3f9d45e-115f-559b-b14f-28552410e90a\nSee email: 20250806 Waste disposal treatments and emissions"]
[null,"IPCC Methane correction factor","WB Waste disposal destinations"]
[null,"Compost","Compost"]
[null,"Other productive use","Recycling"]
[null,"Other productive use","Incineration"]
[null,"Managed (with gas collection system)","Sanitary landfill"]
[null,"Managed (without gas collection system)","Controlled landfill"]
[null,"Managed (without gas collection system)","Landfill (unspecified)"]
[null,"Uncategorised","Other"]
[null,"Unmanaged shallow (< 5m)","Open dump - shallow"]
[null,"Unmanaged deep (> 5m)","Open dump - deep"]
[]
[null,"2. Calculations"]
[]
[null,null,null,null,null,null,null,"CH4 correction factor",null,null,"Emissions per tonne",null,null,null,null,"Final results for calculations:"]
[null,"Value chain stage","Country","Default climate zone","User climate zone","Default CH4 Correction Factor","User LandFill destination","Corresponding IPCC","User CH4 correction factor (based on Landfill type)","Final Output - CH4 correction factor","Emissions per tonne (tCO2e/tonne of commodity)","User Emissions per tonne (tCO2e/tonne of commodity)","Final Output - Emissions per tonne (tCO2e/tonne of commodity)","Default Landfill rate (%)","User Landfill rate (%)","Avoided losses to landfill (t)","Landfill CO2e emissions per year (tonnes)"]
[null,"Production (post-harvest)",{"$f":"countryOfProduction","v":{"$error":"#N/A"}},{"$f":"INDEX(WBwastedata[Climate Zone],MATCH('LF-Calcs'!C40,WBwastedata[IFC list],0))","v":{"$error":"#N/A"}},{"$f":"IFERROR(INDEX(Interface!$H$97:$H$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0)),0)","v":0},{"$f":"INDEX(WBwastedata[Landfill CH4 Correction Factor],MATCH(LandfillEmissions[[#This Row],[Country]],WBwastedata[IFC list],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Interface!$G$97:$G$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0))","v":0},{"$f":"INDEX(IPCCWBSolidWasteTreatment[IPCC Methane correction factor],MATCH(LandfillEmissions[[#This Row],[User LandFill destination]],IPCCWBSolidWasteTreatment[WB Waste disposal destinations],0))","v":{"$error":"#N/A"}},{"$f":"IF(LandfillEmissions[[#This Row],[User LandFill destination]]=0,0,\nINDEX('LF-db'!$T$7:$Z$7,MATCH(LandfillEmissions[[#This Row],[Corresponding IPCC]],'LF-db'!$T$6:$Z$6,0)))","v":0},{"$f":"IF(LandfillEmissions[[#This Row],[User LandFill destination]]=0,LandfillEmissions[[#This Row],[Default CH4 Correction Factor]],LandfillEmissions[[#This Row],[User CH4 correction factor (based on Landfill type)]])","v":{"$error":"#N/A"}},{"$f":"IFERROR(SUM(E79:CZ79),0)","v":0},{"$f":"IFERROR(INDEX(Interface!$E$97:$E$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0)),0)","v":0},{"$f":"IF(LandfillEmissions[[#This Row],[User Emissions per tonne (tCO2e/tonne of commodity)]]=0,LandfillEmissions[[#This Row],[Emissions per tonne (tCO2e/tonne of commodity)]],LandfillEmissions[[#This Row],[User Emissions per tonne (tCO2e/tonne of commodity)]])","v":0},{"$f":"INDEX(WBwastedata[Landfill rate],MATCH(LandfillEmissions[[#This Row],[Country]],WBwastedata[IFC list],0))","v":{"$error":"#N/A"}},{"$f":"IFERROR(INDEX(Interface!$C$97:$C$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0)),0)","v":0},{"$f":"INDEX(totalTonnesLost,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],'GHG Results'!$D$4:$L$4,0))*\nIF(LandfillEmissions[[#This Row],[User Landfill rate (%)]]=\"\",LandfillEmissions[[#This Row],[Default Landfill rate (%)]],LandfillEmissions[[#This Row],[User Landfill rate (%)]])","v":0},{"$f":"LandfillEmissions[[#This Row],[Final Output - Emissions per tonne (tCO2e/tonne of commodity)]]\n*LandfillEmissions[[#This Row],[Avoided losses to landfill (t)]]","v":0}]
[null,"Transport 1",{"$f":"C40","v":{"$error":"#N/A"}},{"$f":"INDEX(WBwastedata[Climate Zone],MATCH('LF-Calcs'!C41,WBwastedata[IFC list],0))","v":{"$error":"#N/A"}},{"$f":"IFERROR(INDEX(Interface!$H$97:$H$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0)),0)","v":0},{"$f":"INDEX(WBwastedata[Landfill CH4 Correction Factor],MATCH(LandfillEmissions[[#This Row],[Country]],WBwastedata[IFC list],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Interface!$G$97:$G$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0))","v":0},{"$f":"INDEX(IPCCWBSolidWasteTreatment[IPCC Methane correction factor],MATCH(LandfillEmissions[[#This Row],[User LandFill destination]],IPCCWBSolidWasteTreatment[WB Waste disposal destinations],0))","v":{"$error":"#N/A"}},{"$f":"IF(LandfillEmissions[[#This Row],[User LandFill destination]]=0,0,\nINDEX('LF-db'!$T$7:$Z$7,MATCH(LandfillEmissions[[#This Row],[Corresponding IPCC]],'LF-db'!$T$6:$Z$6,0)))","v":0},{"$f":"IF(LandfillEmissions[[#This Row],[User LandFill destination]]=0,LandfillEmissions[[#This Row],[Default CH4 Correction Factor]],LandfillEmissions[[#This Row],[User CH4 correction factor (based on Landfill type)]])","v":{"$error":"#N/A"}},{"$f":"IFERROR(SUM(E80:CZ80),0)","v":0},{"$f":"IFERROR(INDEX(Interface!$E$97:$E$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0)),0)","v":0},{"$f":"IF(LandfillEmissions[[#This Row],[User Emissions per tonne (tCO2e/tonne of commodity)]]=0,LandfillEmissions[[#This Row],[Emissions per tonne (tCO2e/tonne of commodity)]],LandfillEmissions[[#This Row],[User Emissions per tonne (tCO2e/tonne of commodity)]])","v":0},{"$f":"INDEX(WBwastedata[Landfill rate],MATCH(LandfillEmissions[[#This Row],[Country]],WBwastedata[IFC list],0))","v":{"$error":"#N/A"}},{"$f":"IFERROR(INDEX(Interface!$C$97:$C$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0)),0)","v":0},{"$f":"INDEX(totalTonnesLost,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],'GHG Results'!$D$4:$L$4,0))*\nIF(LandfillEmissions[[#This Row],[User Landfill rate (%)]]=\"\",LandfillEmissions[[#This Row],[Default Landfill rate (%)]],LandfillEmissions[[#This Row],[User Landfill rate (%)]])","v":0},{"$f":"LandfillEmissions[[#This Row],[Final Output - Emissions per tonne (tCO2e/tonne of commodity)]]\n*LandfillEmissions[[#This Row],[Avoided losses to landfill (t)]]","v":0},"For transport stages, the Default LR is based on country of origin"]
[null,"Storage 1 (pre-processing)",{"$f":"countryOfStorage1","v":{"$error":"#N/A"}},{"$f":"INDEX(WBwastedata[Climate Zone],MATCH('LF-Calcs'!C42,WBwastedata[IFC list],0))","v":{"$error":"#N/A"}},{"$f":"IFERROR(INDEX(Interface!$H$97:$H$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0)),0)","v":0},{"$f":"INDEX(WBwastedata[Landfill CH4 Correction Factor],MATCH(LandfillEmissions[[#This Row],[Country]],WBwastedata[IFC list],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Interface!$G$97:$G$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0))","v":0},{"$f":"INDEX(IPCCWBSolidWasteTreatment[IPCC Methane correction factor],MATCH(LandfillEmissions[[#This Row],[User LandFill destination]],IPCCWBSolidWasteTreatment[WB Waste disposal destinations],0))","v":{"$error":"#N/A"}},{"$f":"IF(LandfillEmissions[[#This Row],[User LandFill destination]]=0,0,\nINDEX('LF-db'!$T$7:$Z$7,MATCH(LandfillEmissions[[#This Row],[Corresponding IPCC]],'LF-db'!$T$6:$Z$6,0)))","v":0},{"$f":"IF(LandfillEmissions[[#This Row],[User LandFill destination]]=0,LandfillEmissions[[#This Row],[Default CH4 Correction Factor]],LandfillEmissions[[#This Row],[User CH4 correction factor (based on Landfill type)]])","v":{"$error":"#N/A"}},0,{"$f":"IFERROR(INDEX(Interface!$E$97:$E$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0)),0)","v":0},{"$f":"IF(LandfillEmissions[[#This Row],[User Emissions per tonne (tCO2e/tonne of commodity)]]=0,LandfillEmissions[[#This Row],[Emissions per tonne (tCO2e/tonne of commodity)]],LandfillEmissions[[#This Row],[User Emissions per tonne (tCO2e/tonne of commodity)]])","v":0},{"$f":"INDEX(WBwastedata[Landfill rate],MATCH(LandfillEmissions[[#This Row],[Country]],WBwastedata[IFC list],0))","v":{"$error":"#N/A"}},{"$f":"IFERROR(INDEX(Interface!$C$97:$C$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0)),0)","v":0},{"$f":"INDEX(totalTonnesLost,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],'GHG Results'!$D$4:$L$4,0))*\nIF(LandfillEmissions[[#This Row],[User Landfill rate (%)]]=\"\",LandfillEmissions[[#This Row],[Default Landfill rate (%)]],LandfillEmissions[[#This Row],[User Landfill rate (%)]])","v":0},{"$f":"LandfillEmissions[[#This Row],[Final Output - Emissions per tonne (tCO2e/tonne of commodity)]]\n*LandfillEmissions[[#This Row],[Avoided losses to landfill (t)]]","v":0}]
[null,"Transport 2",{"$f":"C42","v":{"$error":"#N/A"}},{"$f":"INDEX(WBwastedata[Climate Zone],MATCH('LF-Calcs'!C43,WBwastedata[IFC list],0))","v":{"$error":"#N/A"}},{"$f":"IFERROR(INDEX(Interface!$H$97:$H$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0)),0)","v":0},{"$f":"INDEX(WBwastedata[Landfill CH4 Correction Factor],MATCH(LandfillEmissions[[#This Row],[Country]],WBwastedata[IFC list],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Interface!$G$97:$G$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0))","v":0},{"$f":"INDEX(IPCCWBSolidWasteTreatment[IPCC Methane correction factor],MATCH(LandfillEmissions[[#This Row],[User LandFill destination]],IPCCWBSolidWasteTreatment[WB Waste disposal destinations],0))","v":{"$error":"#N/A"}},{"$f":"IF(LandfillEmissions[[#This Row],[User LandFill destination]]=0,0,\nINDEX('LF-db'!$T$7:$Z$7,MATCH(LandfillEmissions[[#This Row],[Corresponding IPCC]],'LF-db'!$T$6:$Z$6,0)))","v":0},{"$f":"IF(LandfillEmissions[[#This Row],[User LandFill destination]]=0,LandfillEmissions[[#This Row],[Default CH4 Correction Factor]],LandfillEmissions[[#This Row],[User CH4 correction factor (based on Landfill type)]])","v":{"$error":"#N/A"}},0,{"$f":"IFERROR(INDEX(Interface!$E$97:$E$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0)),0)","v":0},{"$f":"IF(LandfillEmissions[[#This Row],[User Emissions per tonne (tCO2e/tonne of commodity)]]=0,LandfillEmissions[[#This Row],[Emissions per tonne (tCO2e/tonne of commodity)]],LandfillEmissions[[#This Row],[User Emissions per tonne (tCO2e/tonne of commodity)]])","v":0},{"$f":"INDEX(WBwastedata[Landfill rate],MATCH(LandfillEmissions[[#This Row],[Country]],WBwastedata[IFC list],0))","v":{"$error":"#N/A"}},{"$f":"IFERROR(INDEX(Interface!$C$97:$C$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0)),0)","v":0},{"$f":"INDEX(totalTonnesLost,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],'GHG Results'!$D$4:$L$4,0))*\nIF(LandfillEmissions[[#This Row],[User Landfill rate (%)]]=\"\",LandfillEmissions[[#This Row],[Default Landfill rate (%)]],LandfillEmissions[[#This Row],[User Landfill rate (%)]])","v":0},{"$f":"LandfillEmissions[[#This Row],[Final Output - Emissions per tonne (tCO2e/tonne of commodity)]]\n*LandfillEmissions[[#This Row],[Avoided losses to landfill (t)]]","v":0},"For transport stages, the Default LR is based on country of origin"]
[null,"Processing",{"$f":"countryOfProcessing","v":{"$error":"#N/A"}},{"$f":"INDEX(WBwastedata[Climate Zone],MATCH('LF-Calcs'!C44,WBwastedata[IFC list],0))","v":{"$error":"#N/A"}},{"$f":"IFERROR(INDEX(Interface!$H$97:$H$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0)),0)","v":0},{"$f":"INDEX(WBwastedata[Landfill CH4 Correction Factor],MATCH(LandfillEmissions[[#This Row],[Country]],WBwastedata[IFC list],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Interface!$G$97:$G$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0))","v":0},{"$f":"INDEX(IPCCWBSolidWasteTreatment[IPCC Methane correction factor],MATCH(LandfillEmissions[[#This Row],[User LandFill destination]],IPCCWBSolidWasteTreatment[WB Waste disposal destinations],0))","v":{"$error":"#N/A"}},{"$f":"IF(LandfillEmissions[[#This Row],[User LandFill destination]]=0,0,\nINDEX('LF-db'!$T$7:$Z$7,MATCH(LandfillEmissions[[#This Row],[Corresponding IPCC]],'LF-db'!$T$6:$Z$6,0)))","v":0},{"$f":"IF(LandfillEmissions[[#This Row],[User LandFill destination]]=0,LandfillEmissions[[#This Row],[Default CH4 Correction Factor]],LandfillEmissions[[#This Row],[User CH4 correction factor (based on Landfill type)]])","v":{"$error":"#N/A"}},0,{"$f":"IFERROR(INDEX(Interface!$E$97:$E$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0)),0)","v":0},{"$f":"IF(LandfillEmissions[[#This Row],[User Emissions per tonne (tCO2e/tonne of commodity)]]=0,LandfillEmissions[[#This Row],[Emissions per tonne (tCO2e/tonne of commodity)]],LandfillEmissions[[#This Row],[User Emissions per tonne (tCO2e/tonne of commodity)]])","v":0},{"$f":"INDEX(WBwastedata[Landfill rate],MATCH(LandfillEmissions[[#This Row],[Country]],WBwastedata[IFC list],0))","v":{"$error":"#N/A"}},{"$f":"IFERROR(INDEX(Interface!$C$97:$C$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0)),0)","v":0},{"$f":"INDEX(totalTonnesLost,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],'GHG Results'!$D$4:$L$4,0))*\nIF(LandfillEmissions[[#This Row],[User Landfill rate (%)]]=\"\",LandfillEmissions[[#This Row],[Default Landfill rate (%)]],LandfillEmissions[[#This Row],[User Landfill rate (%)]])","v":0},{"$f":"LandfillEmissions[[#This Row],[Final Output - Emissions per tonne (tCO2e/tonne of commodity)]]\n*LandfillEmissions[[#This Row],[Avoided losses to landfill (t)]]","v":0}]
[null,"Transport 3",{"$f":"C44","v":{"$error":"#N/A"}},{"$f":"INDEX(WBwastedata[Climate Zone],MATCH('LF-Calcs'!C45,WBwastedata[IFC list],0))","v":{"$error":"#N/A"}},{"$f":"IFERROR(INDEX(Interface!$H$97:$H$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0)),0)","v":0},{"$f":"INDEX(WBwastedata[Landfill CH4 Correction Factor],MATCH(LandfillEmissions[[#This Row],[Country]],WBwastedata[IFC list],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Interface!$G$97:$G$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0))","v":0},{"$f":"INDEX(IPCCWBSolidWasteTreatment[IPCC Methane correction factor],MATCH(LandfillEmissions[[#This Row],[User LandFill destination]],IPCCWBSolidWasteTreatment[WB Waste disposal destinations],0))","v":{"$error":"#N/A"}},{"$f":"IF(LandfillEmissions[[#This Row],[User LandFill destination]]=0,0,\nINDEX('LF-db'!$T$7:$Z$7,MATCH(LandfillEmissions[[#This Row],[Corresponding IPCC]],'LF-db'!$T$6:$Z$6,0)))","v":0},{"$f":"IF(LandfillEmissions[[#This Row],[User LandFill destination]]=0,LandfillEmissions[[#This Row],[Default CH4 Correction Factor]],LandfillEmissions[[#This Row],[User CH4 correction factor (based on Landfill type)]])","v":{"$error":"#N/A"}},0,{"$f":"IFERROR(INDEX(Interface!$E$97:$E$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0)),0)","v":0},{"$f":"IF(LandfillEmissions[[#This Row],[User Emissions per tonne (tCO2e/tonne of commodity)]]=0,LandfillEmissions[[#This Row],[Emissions per tonne (tCO2e/tonne of commodity)]],LandfillEmissions[[#This Row],[User Emissions per tonne (tCO2e/tonne of commodity)]])","v":0},{"$f":"INDEX(WBwastedata[Landfill rate],MATCH(LandfillEmissions[[#This Row],[Country]],WBwastedata[IFC list],0))","v":{"$error":"#N/A"}},{"$f":"IFERROR(INDEX(Interface!$C$97:$C$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0)),0)","v":0},{"$f":"INDEX(totalTonnesLost,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],'GHG Results'!$D$4:$L$4,0))*\nIF(LandfillEmissions[[#This Row],[User Landfill rate (%)]]=\"\",LandfillEmissions[[#This Row],[Default Landfill rate (%)]],LandfillEmissions[[#This Row],[User Landfill rate (%)]])","v":0},{"$f":"LandfillEmissions[[#This Row],[Final Output - Emissions per tonne (tCO2e/tonne of commodity)]]\n*LandfillEmissions[[#This Row],[Avoided losses to landfill (t)]]","v":0},"For transport stages, the Default LR is based on country of origin"]
[null,"Storage 2 (pre-retail)",{"$f":"countryOfStorage2","v":{"$error":"#N/A"}},{"$f":"INDEX(WBwastedata[Climate Zone],MATCH('LF-Calcs'!C46,WBwastedata[IFC list],0))","v":{"$error":"#N/A"}},{"$f":"IFERROR(INDEX(Interface!$H$97:$H$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0)),0)","v":0},{"$f":"INDEX(WBwastedata[Landfill CH4 Correction Factor],MATCH(LandfillEmissions[[#This Row],[Country]],WBwastedata[IFC list],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Interface!$G$97:$G$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0))","v":0},{"$f":"INDEX(IPCCWBSolidWasteTreatment[IPCC Methane correction factor],MATCH(LandfillEmissions[[#This Row],[User LandFill destination]],IPCCWBSolidWasteTreatment[WB Waste disposal destinations],0))","v":{"$error":"#N/A"}},{"$f":"IF(LandfillEmissions[[#This Row],[User LandFill destination]]=0,0,\nINDEX('LF-db'!$T$7:$Z$7,MATCH(LandfillEmissions[[#This Row],[Corresponding IPCC]],'LF-db'!$T$6:$Z$6,0)))","v":0},{"$f":"IF(LandfillEmissions[[#This Row],[User LandFill destination]]=0,LandfillEmissions[[#This Row],[Default CH4 Correction Factor]],LandfillEmissions[[#This Row],[User CH4 correction factor (based on Landfill type)]])","v":{"$error":"#N/A"}},0,{"$f":"IFERROR(INDEX(Interface!$E$97:$E$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0)),0)","v":0},{"$f":"IF(LandfillEmissions[[#This Row],[User Emissions per tonne (tCO2e/tonne of commodity)]]=0,LandfillEmissions[[#This Row],[Emissions per tonne (tCO2e/tonne of commodity)]],LandfillEmissions[[#This Row],[User Emissions per tonne (tCO2e/tonne of commodity)]])","v":0},{"$f":"INDEX(WBwastedata[Landfill rate],MATCH(LandfillEmissions[[#This Row],[Country]],WBwastedata[IFC list],0))","v":{"$error":"#N/A"}},{"$f":"IFERROR(INDEX(Interface!$C$97:$C$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0)),0)","v":0},{"$f":"INDEX(totalTonnesLost,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],'GHG Results'!$D$4:$L$4,0))*\nIF(LandfillEmissions[[#This Row],[User Landfill rate (%)]]=\"\",LandfillEmissions[[#This Row],[Default Landfill rate (%)]],LandfillEmissions[[#This Row],[User Landfill rate (%)]])","v":0},{"$f":"LandfillEmissions[[#This Row],[Final Output - Emissions per tonne (tCO2e/tonne of commodity)]]\n*LandfillEmissions[[#This Row],[Avoided losses to landfill (t)]]","v":0}]
[null,"Transport 4",{"$f":"C46","v":{"$error":"#N/A"}},{"$f":"INDEX(WBwastedata[Climate Zone],MATCH('LF-Calcs'!C47,WBwastedata[IFC list],0))","v":{"$error":"#N/A"}},{"$f":"IFERROR(INDEX(Interface!$H$97:$H$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0)),0)","v":"Temperate, dry"},{"$f":"INDEX(WBwastedata[Landfill CH4 Correction Factor],MATCH(LandfillEmissions[[#This Row],[Country]],WBwastedata[IFC list],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Interface!$G$97:$G$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0))","v":0},{"$f":"INDEX(IPCCWBSolidWasteTreatment[IPCC Methane correction factor],MATCH(LandfillEmissions[[#This Row],[User LandFill destination]],IPCCWBSolidWasteTreatment[WB Waste disposal destinations],0))","v":{"$error":"#N/A"}},{"$f":"IF(LandfillEmissions[[#This Row],[User LandFill destination]]=0,0,\nINDEX('LF-db'!$T$7:$Z$7,MATCH(LandfillEmissions[[#This Row],[Corresponding IPCC]],'LF-db'!$T$6:$Z$6,0)))","v":0},{"$f":"IF(LandfillEmissions[[#This Row],[User LandFill destination]]=0,LandfillEmissions[[#This Row],[Default CH4 Correction Factor]],LandfillEmissions[[#This Row],[User CH4 correction factor (based on Landfill type)]])","v":{"$error":"#N/A"}},0,{"$f":"IFERROR(INDEX(Interface!$E$97:$E$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0)),0)","v":0},{"$f":"IF(LandfillEmissions[[#This Row],[User Emissions per tonne (tCO2e/tonne of commodity)]]=0,LandfillEmissions[[#This Row],[Emissions per tonne (tCO2e/tonne of commodity)]],LandfillEmissions[[#This Row],[User Emissions per tonne (tCO2e/tonne of commodity)]])","v":0},{"$f":"INDEX(WBwastedata[Landfill rate],MATCH(LandfillEmissions[[#This Row],[Country]],WBwastedata[IFC list],0))","v":{"$error":"#N/A"}},{"$f":"IFERROR(INDEX(Interface!$C$97:$C$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0)),0)","v":0},{"$f":"INDEX(totalTonnesLost,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],'GHG Results'!$D$4:$L$4,0))*\nIF(LandfillEmissions[[#This Row],[User Landfill rate (%)]]=\"\",LandfillEmissions[[#This Row],[Default Landfill rate (%)]],LandfillEmissions[[#This Row],[User Landfill rate (%)]])","v":0},{"$f":"LandfillEmissions[[#This Row],[Final Output - Emissions per tonne (tCO2e/tonne of commodity)]]\n*LandfillEmissions[[#This Row],[Avoided losses to landfill (t)]]","v":0},"For transport stages, the Default LR is based on country of origin"]
[null,"Retail",{"$f":"countryOfRetail","v":{"$error":"#N/A"}},{"$f":"INDEX(WBwastedata[Climate Zone],MATCH('LF-Calcs'!C48,WBwastedata[IFC list],0))","v":{"$error":"#N/A"}},{"$f":"IFERROR(INDEX(Interface!$H$97:$H$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0)),0)","v":0},{"$f":"INDEX(WBwastedata[Landfill CH4 Correction Factor],MATCH(LandfillEmissions[[#This Row],[Country]],WBwastedata[IFC list],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Interface!$G$97:$G$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0))","v":0},{"$f":"INDEX(IPCCWBSolidWasteTreatment[IPCC Methane correction factor],MATCH(LandfillEmissions[[#This Row],[User LandFill destination]],IPCCWBSolidWasteTreatment[WB Waste disposal destinations],0))","v":{"$error":"#N/A"}},{"$f":"IF(LandfillEmissions[[#This Row],[User LandFill destination]]=0,0,\nINDEX('LF-db'!$T$7:$Z$7,MATCH(LandfillEmissions[[#This Row],[Corresponding IPCC]],'LF-db'!$T$6:$Z$6,0)))","v":0},{"$f":"IF(LandfillEmissions[[#This Row],[User LandFill destination]]=0,LandfillEmissions[[#This Row],[Default CH4 Correction Factor]],LandfillEmissions[[#This Row],[User CH4 correction factor (based on Landfill type)]])","v":{"$error":"#N/A"}},0,{"$f":"IFERROR(INDEX(Interface!$E$97:$E$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0)),0)","v":0},{"$f":"IF(LandfillEmissions[[#This Row],[User Emissions per tonne (tCO2e/tonne of commodity)]]=0,LandfillEmissions[[#This Row],[Emissions per tonne (tCO2e/tonne of commodity)]],LandfillEmissions[[#This Row],[User Emissions per tonne (tCO2e/tonne of commodity)]])","v":0},{"$f":"INDEX(WBwastedata[Landfill rate],MATCH(LandfillEmissions[[#This Row],[Country]],WBwastedata[IFC list],0))","v":{"$error":"#N/A"}},{"$f":"IFERROR(INDEX(Interface!$C$97:$C$105,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],Interface!$B$97:$B$105,0)),0)","v":0},{"$f":"INDEX(totalTonnesLost,MATCH(LandfillEmissions[[#This Row],[Value chain stage]],'GHG Results'!$D$4:$L$4,0))*\nIF(LandfillEmissions[[#This Row],[User Landfill rate (%)]]=\"\",LandfillEmissions[[#This Row],[Default Landfill rate (%)]],LandfillEmissions[[#This Row],[User Landfill rate (%)]])","v":0},{"$f":"LandfillEmissions[[#This Row],[Final Output - Emissions per tonne (tCO2e/tonne of commodity)]]\n*LandfillEmissions[[#This Row],[Avoided losses to landfill (t)]]","v":0}]
[]
[]
[null,"Decay rate for food waste"]
[null,"Climate zone","Decay rate (k)"]
[null,"Temperate, dry",0.06]
[null,"Temperate, wet",0.185]
[null,"Tropical, dry",8.5000000000000006E-2]
[null,"Tropical, wet",0.4]
[]
[]
[null,"Landfill methane collection efficiency "]
[null,"Climate zone","CH4 collection efficiency (f)"]
[null,"Temperate, dry",0.7]
[null,"Temperate, wet",0]
[null,"Tropical, dry",0.5]
[null,"Tropical, wet",0.5]
[]
[]
[null,"MSW deposited (t/y)",1]
[null,"DOCj (wet)",{"$f":"$D$16","v":0.15}]
[]
[null,"Food waste decay profile per climate zone"]
[null,null,null,"Climate zone","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19","20","21","22","23","24","25","26","27","28","29","30","31","32","33","34","35","36","37","38","39","40","41","42","43","44","45","46","47","48","49","50","51","52","53","54","55","56","57","58","59","60","61","62","63","64","65","66","67","68","69","70","71","72","73","74","75","76","77","78","79","80","81","82","83","84","85","86","87","88","89","90","91","92","93","94","95","96","97","98","99","100"]
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[]
[null,"Baseline Methane Emissions (tCO2e)"]
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[null,"Baseline Methane Emissions (tCO2e)"]
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[]
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[null,"Cumulative emissions",{"$f":"SUM($C108:C108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:D108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:E108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:F108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:G108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:H108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:I108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:J108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:K108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:L108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:M108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:N108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:O108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:P108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:Q108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:R108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:S108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:T108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:U108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:V108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:W108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:X108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:Y108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:Z108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:AA108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:AB108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:AC108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:AD108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:AE108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:AF108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:AG108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:AH108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:AI108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:AJ108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:AK108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:AL108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:AM108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:AN108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:AO108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:AP108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:AQ108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:AR108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:AS108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:AT108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:AU108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:AV108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:AW108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:AX108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:AY108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:AZ108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:BA108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:BB108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:BC108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:BD108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:BE108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:BF108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:BG108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:BH108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:BI108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:BJ108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:BK108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:BL108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:BM108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:BN108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:BO108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:BP108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:BQ108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:BR108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:BS108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:BT108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:BU108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:BV108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:BW108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:BX108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:BY108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:BZ108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:CA108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:CB108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:CC108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:CD108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:CE108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:CF108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:CG108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:CH108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:CI108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:CJ108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:CK108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:CL108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:CM108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:CN108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:CO108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:CP108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:CQ108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:CR108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:CS108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:CT108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:CU108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:CV108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:CW108)","v":{"$error":"#REF!"}},{"$f":"SUM($C108:CX108)","v":{"$error":"#REF!"}}]
[null,"Cumulative emissions (100-year)",{"$f":"CX109","v":{"$error":"#REF!"}}]
[null,"Time-weighted emissions",{"$f":"SUM((C109:CX109)/100)","v":{"$error":"#REF!"}}]

{"sheet":"WB-LF-raw","index":22,"n_rows":223,"n_cols":55,"rows_kept":223,"cut":false,"hidden":true,"merged":[]}
[]
[null,"WB solid waste management database"]
[null,"Source:","https://datacatalog.worldbank.org/search/dataset/0039597"]
[null,"Updated ",45572]
[]
[null,"iso3c","region_id","country_name","income_id","gdp","composition_food_organic_waste_percent","composition_glass_percent","composition_metal_percent","composition_other_percent","composition_paper_cardboard_percent","composition_plastic_percent","composition_rubber_leather_percent","composition_wood_percent","composition_yard_garden_green_waste_percent","other_information_information_system_for_solid_waste_management","other_information_national_agency_to_enforce_solid_waste_laws_and_regulations","other_information_national_law_governing_solid_waste_management_in_the_country","other_information_ppp_rules_and_regulations","other_information_summary_of_key_solid_waste_information_made_available_to_the_public","population_population_number_of_people","special_waste_agricultural_waste_tons_year","special_waste_construction_and_demolition_waste_tons_year","special_waste_e_waste_tons_year","special_waste_hazardous_waste_tons_year","special_waste_industrial_waste_tons_year","special_waste_medical_waste_tons_year","total_msw_total_msw_generated_tons_year","waste_collection_coverage_rural_percent_of_geographic_area","waste_collection_coverage_rural_percent_of_households","waste_collection_coverage_rural_percent_of_population","waste_collection_coverage_rural_percent_of_waste","waste_collection_coverage_total_percent_of_geographic_area","waste_collection_coverage_total_percent_of_households","waste_collection_coverage_total_percent_of_population","waste_collection_coverage_total_percent_of_waste","waste_collection_coverage_urban_percent_of_geographic_area","waste_collection_coverage_urban_percent_of_households","waste_collection_coverage_urban_percent_of_population","waste_collection_coverage_urban_percent_of_waste","waste_treatment_anaerobic_digestion_percent","waste_treatment_compost_percent","waste_treatment_controlled_landfill_percent","waste_treatment_incineration_percent","waste_treatment_landfill_unspecified_percent","waste_treatment_open_dump_percent","waste_treatment_other_percent","waste_treatment_recycling_percent","waste_treatment_sanitary_landfill_landfill_gas_system_percent","waste_treatment_unaccounted_for_percent","waste_treatment_waterways_marine_percent","where_where_is_this_data_measured","Column1","Column2","Column3"]
[null,"ABW","LCN","Aruba","HIC",35563.3125,null,null,null,null,null,null,null,null,null,null,"Yes","Yes","Yes","Yes",103187,null,null,null,null,null,null,88132.016699999993,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,11,null,89]
[null,"AFG","SAS","Afghanistan","LIC",2057.0622560000002,null,null,null,null,null,null,null,null,null,null,"Yes","Yes","Yes",null,34656032,6802511,null,20000,null,null,9855,5628525.3700000001,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Other"]
[null,"AGO","SSF","Angola","LMC",8036.6904299999997,51.8,6.7,4.4000000000000004,11.5,11.9,13.5,null,null,null,null,null,"Yes","Yes",null,25096150,null,null,92000,null,null,5495.95,4213643.585,null,null,null,null,null,null,23.1]
[null,"ALB","ECS","Albania","UMC",13724.058590000001,51.4,4.5,4.8,15.21,9.9,9.6,null,4.5999999999999996,null,"No","Yes","Yes","Yes","No",2854191,null,203009,20000,5714.82,270269,114.3,1087446.75,null,null,null,null,null,null,60,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Some disposal sites"]
[null,"AND","ECS","Andorra","HIC",43711.800779999998,31.2,8.1999999999999993,2.6,11.6,35.1,11.3,null,null,null,null,"Yes","Yes","Yes",null,82431,null,null,null,1788,null,null,43000,null,null,null,null,null,null,100,null,null,null,null,null,null,null,null,52.1,null,null,null,null,null,47.9]
[null,"ARE","MEA","United Arab Emirates","HIC",67119.132809999996,39,4,3,10,25,19,null,null,null,"Yes","Yes",null,"Yes",null,9770529,493106,2876313,134000,57525,3306644,4573,5617682,null,null,null,null,null,null,null,null,null,null,null,null,null,9,null,null,9,62,null,20]
[null,"ARG","LCN","Argentina","HIC",23550.099610000001,38.74,3.16,1.84,15.36,13.96,14.61,1.26,1.0900000000000001,9.9499999999999993,"Yes",null,"Yes","Yes",null,42981516,null,null,291700,310044,null,null,17910550,null,null,null,null,null,null,89.91,null,null,null,94.82,null,null,null,8.9,null,null,22.6,null,6,62.5,null,null,"Other"]
[null,"ARM","ECS","Armenia","UMC",11019.83887,57,3.2,3.4,17.399999999999999,6.7,11.4,0.3,0.6,null,"No","No","Yes","No",null,2906220,1570,7820,14000,62270,47310540,null,492800,null,null,10,null,null,null,null,null,null,null,90,null,null,null,null,null,null,100,null,null,null,null,null,"Other"]
[null,"ASM","EAS","American Samoa","UMC",11113.44238,19.7,3.4,7.9,25.6,26.4,12.8,4.2,null,null,null,"Yes",null,null,null,55599,null,null,null,null,null,null,18989.490000000002,null,null,null,null,null,null,100,null,null,null,100]
[null,"ATG","LCN","Antigua and Barbuda","HIC",17965.501950000002,46,7,7,12,15,13,null,null,null,"No","Yes","Yes","No","No",96777,null,null,1100,null,null,null,30585,null,null,null,null,null,null,98.61,null,null,null,null,null,null,0.08,98.68,null,null,null,null,null,null,1.1399999999999999,0.1,"Disposal Site"]
[null,"AUS","EAS","Australia","HIC",47784.179689999997,48.44,3.81,19.38,3.46,17.3,7.61,null,null,null,"Yes","Yes","Yes","Yes","Yes",23789338,null,20000000,574000,7000000,31000000,null,13345000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,9.77,48.87,null,null,42.1]
[null,"AUT","ECS","Austria","HIC",56029.613279999998,31.4,7,4.4000000000000004,18.5,19.7,11.1,null,7.9,null,null,"Yes","Yes","No",null,8877067,1887723,42423893,166174,1272288,null,696748,5219715.5,null,null,null,null,null,null,null,97.77,null,null,null,null,null,31.24,null,37.9,2.98,null,null,25.66,null,2.2200000000000002]
[null,"AZE","ECS","Azerbaijan","UMC",14853.910159999999,45.19,5.28,3.49,13.73,10.93,7.87,3.09,null,10.42,null,"Yes","Yes","No",null,9649341,null,null,63000,296979.40000000002,null,null,2930349,null,null,null,null,null,null,56,null,null,null,90,null,null,null,null,null,null,100,null,null,null,null,null,"Various"]
[null,"BDI","SSF","Burundi","LIC",839.77850339999998,81,2.9,2.1,3.2,7.3,3.5,null,null,null,null,null,null,null,null,6741569,null,null,5000,null,null,null,1872016]
[null,"BEL","ECS","Belgium","HIC",51914.914060000003,14.18,3.1,1.91,40.14,18.38,13.94,null,2.37,5.84,null,"Yes","Yes","No",null,11484055,5635143,35824399,603575,2946195,null,2397368,4765883,null,null,null,null,null,null,null,97.74,null,null,null,null,null,19.137,null,43.39,0.91,null,null,34.302999999999997,null,2.2599999999999998]
[null,"BEN","SSF","Benin","LIC",2227.3522950000001,52.1,1.6,1.6,34.299999999999997,3.1,7.3,null,null,null,null,null,"Yes","Yes",null,5521763,null,null,8200,null,null,1698,685936.01,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,25,null,75]
[null,"BFA","SSF","Burkina Faso","LIC",1925.331177,21,1,1,61,7,9,null,null,null,"No","No","Yes","Yes",null,18110624,null,null,11000,7871,null,null,2575251.11,null,null,null,null,null,null,9.6,34.520000000000003,null,null,null,null,null,null,null,null,17,59,null,12,null,12]
[null,"BGD","SAS","Bangladesh","LMC",3195.7370609999998,80.58,0.44,0.5,8.59,3.04,4.67,1.08,null,1.1000000000000001,"No","Yes","Yes","Yes",null,155727056,65000000,null,142000,114358,26884,12271,14778497.33,null,null,null,null,null,null,null,52,null,null,60.39,null,null,5.25,null,null,null,null,null,null,null,94.75,null,"Source"]
[null,"BGR","ECS","Bulgaria","UMC",22279.36133,24.35,5.83,1.98,17.93,14.18,12.15,1.96,2.48,19.18,"Yes","Yes","Yes","Yes","Yes",7025037,983646,172369117,53785,12206169,null,518228,2859190,null,null,null,null,null,null,null,98.3,null,null,null,null,null,10.32,null,2.75,66.22,null,null,19.03,null,1.68,null,"Other"]
[null,"BHR","MEA","Bahrain","HIC",47937.777340000001,59.1,3.4,2.1,15.2,12.8,7.4,null,null,null,"No","Yes","Yes",null,null,1425171,null,570099.67000000004,20000,31000,140000,911000,951942.96950000001,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,92,null,null,8,null,null,null,"Disposal Site"]
[null,"BHS","LCN","Bahamas, The","HIC",35400.082029999998,46,7,7,12,15,13,null,null,null,"No","Yes","No","No","No",386838,null,null,4900,null,null,null,264000]
[null,"BIH","ECS","Bosnia and Herzegovina","UMC",12671.007809999999,null,null,null,92.7,4.9000000000000004,null,null,null,2.4,"No","No","No","Yes","Yes",3535961,null,252310,1409,8408,4048650,8150,1248718,null,null,null,null,null,null,null,73.989999999999995,null,null,null,null,null,null,8.5500000000000007,null,null,41.75,2.5000000000000001E-2,"9.70E-04",24.12,25.554030000000001,null,"Other"]
[null,"BLR","ECS","Belarus","UMC",18307.519530000001,30,8,2,35,5,12,6,2,null,"Yes","Yes","Yes","Yes","Yes",9489616,null,null,72000,1336926,null,null,4280000,null,null,69.2,null,null,null,93.2,null,null,null,100,null,null,null,76.900000000000006,null,null,7.1,null,16,null,null,null,"At the disposal sites and at the waste generation source"]
[null,"BLZ","LCN","Belize","UMC",7259.0244140000004,47,8,5,5,16,19,null,null,null,"Yes","Yes","Yes",null,null,359288,null,null,2300,null,null,188,101378.8303,null,null,null,null,null,null,85.2,null,null,null,null,null,null,null,null,null,null,66,null,null,34]
[null,"BMU","NAC","Bermuda","HIC",80982.367190000004,17,9,6,26,29,13,null,null,null,"Yes","Yes","Yes","No",null,64798,null,null,null,525,null,null,82000,null,null,null,null,null,null,100,null,null,null,null,null,null,18.3,12.2,67.599999999999994,null,null,null,2]
[null,"BOL","LCN","Bolivia","LMC",7984.4135740000002,55.196911200000002,2.9034749030000002,2.501930502,22.7027027,6.5019305019999996,10.193050189999999,null,null,null,"Yes","Yes","Yes","No","Yes",10724705,null,null,35392,545183,null,4683,2219052,null,null,5.9,null,null,null,57.6,null,null,null,85.4,null,null,0.4,0.04,null,null,55.52,null,12.11,31.93,null,null,"Source"]
[null,"BRA","LCN","Brazil","UMC",14596.246090000001,51.4,2.4,2.9,16.7,13.1,13.5,null,null,null,"Yes","Yes","Yes","Yes",null,208494896,null,45158165,1411900,null,null,260063,79069584,null,null,null,null,null,null,91.3,90.81,null,null,null,null,null,0.2,21.885210000000001,null,null,15.61932,null,1.4,53.30547,7.59]
[null,"BRB","LCN","Barbados","HIC",15444.746090000001,18.3,3.7,4.9000000000000004,5.7,19.7,17.100000000000001,12.1,null,18.600000000000001,"No","Yes","No","No","No",280601,null,184957,3800,9410.3369999999995,null,null,174815.44440000001,null,null,null,null,null,null,90,null,null,null,null,null,null,null,90,null,null,null,null,9,null,1,null,"Disposal Site"]
[null,"BRN","EAS","Brunei Darussalam","HIC",60865.988279999998,36,3,4,15,18,16,1,1,6,null,"Yes","Yes","Yes","Yes",423196,null,null,7700,null,null,195,216253.15599999999,null,null,null,null,null,null,null,null,null,null,null,null,null,2,null,null,null,null,null,null,70,28]
[null,"BTN","SAS","Bhutan","LMC",6743.0161129999997,58,4,1,7,17,13,null,null,null,"No","Yes","Yes","Yes","Yes",686958,null,null,1457.5,null,1476.37,358,111314.05,null,null,null,null,null,null,null,null,null,null,null,95,null,1.39,98,null,null,null,null,0.86,null,null,null,"Source"]
[null,"BWA","SSF","Botswana","UMC",14126.389649999999,8.1,null,0.1,91.9,null,null,null,null,null,null,null,null,null,null,2014866,null,null,16000,null,null,2500,210854.44260000001,null,7,null,null,null,null,null,null,null,60,null,null,null,null,null,null,null,null,null,1,null,99]
[null,"CAF","SSF","Central African Republic","LIC",822.61047359999998,null,null,null,null,null,null,null,null,null,null,null,"Yes","No",null,4515392,null,null,2700,null,null,null,1105983]
[null,"CAN","NAC","Canada","HIC",47672.078130000002,24,6,13,8,47,3,null,null,null,"Yes","Yes","Yes","Yes","Yes",35544564,181000000,653255,724000,null,1118000000,null,25103034,null,null,null,null,null,null,99,null,null,null,null,null,null,4.08,null,3,72.33,null,null,20.59]
[null,"CHE","ECS","Switzerland","HIC",68394.289059999996,29,4,3,29,20,15,null,null,null,null,"Yes","Yes",null,"Yes",8574832,null,6390000,184000,1200000,1470000,null,6079556,null,null,null,null,null,null,99,null,null,null,null,null,null,21,null,47,null,null,null,32]
[null,"CHI","ECS","Channel Islands","HIC",46672.59375,null,null,null,null,null,null,null,null,null,null,"Yes","Yes",null,null,164541,null,null,null,null,null,null,178933,null,null,null,null,null,null,null,null,null,null,null,null,null,15.90982659,39.218063579999999,16.44190751,null,null,null,28.430202309999999]
[null,"CHL","LCN","Chile","HIC",20361.714840000001,53.3,6.6,2.2999999999999998,16,12.4,9.4,null,null,null,"Yes","No","Yes","Yes",null,16829442,null,null,176000,249755,null,null,6517000,null,null,null,null,null,null,null,95,null,null,null,null,null,0.44,85.25,0.14000000000000001,null,8.43,0.04,0.37,null,5.33,null,"Other"]
[null,"CHN","EAS","China","UMC",16092.30078,61.2,2.1,1.1000000000000001,13.1,9.6,9.8000000000000007,1.3,1.8,null,null,"Yes","Yes","Yes",null,1400050048,4000000000,1500000000,7211000,34652400,3270790000,null,395081376,null,null,20,null,null,null,94,null,null,null,null,null,null,3,null,29.84,60.16,8.2100000000000009,null,null,null,null,null,"At Generator level"]
[null,"CIV","SSF","Côte d’Ivoire","LMC",3660.9028320000002,null,null,null,null,null,null,null,null,null,null,"Yes","Yes","Yes",null,20401332,null,null,22000,null,null,null,4440814.2699999996,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3,null,97]
[null,"CMR","SSF","Cameroon","LMC",3262.763672,83.4,0.1,0.7,10.4,2.1,3.3,null,null,null,null,null,"Yes","Yes",null,21655716,null,null,19000,8716.6,null,null,3270616.59,null,null,null,null,null,null,61.6,null,null,null,null,null,null,null,null,null,null,80.3,null,0.4,19.3]
[null,"COD","SSF","Congo, Dem. Rep.","LIC",1055.5729980000001,null,null,null,null,null,null,null,null,null,null,null,"Yes","No",null,78736152,null,null,null,null,null,null,14385226.02,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4.9000000000000004,null,95.1]
[null,"COG","SSF","Congo, Rep.","LMC",4899.5795900000003,null,null,null,null,null,null,null,null,null,"No","No","Yes","No",null,2648507,null,null,null,null,null,null,451200,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,26.2,null,73.8]
[null,"COL","LCN","Colombia","UMC",12523.00684,59.58,2.35,1.1000000000000001,15.74,8.4,12.83,null,null,null,"Yes",null,"No","Yes",null,46406648,null,null,252200,270146.3,null,27704,12150120,null,24.1,null,null,null,null,80.599999999999994,null,null,97.4,null,null,null,null,null,null,null,4,null,17.2,89]
[null,"COM","SSF","Comoros","LIC",2959.540039,50,2,4,22,7,5,null,null,10,null,null,"Yes",null,null,777424,null,null,600,null,null,null,91013]
[null,"CPV","SSF","Cabo Verde","LMC",6353.783203,null,null,null,null,null,null,null,null,null,"Yes","Yes","Yes",null,null,513979,null,null,2400,3548.92,null,76,132555,null,null,null,null,null,null,70.599999999999994]
[null,"CRI","LCN","Costa Rica","UMC",18168.714840000001,58,1,2,7,21,11,null,null,null,null,null,"Yes","No",null,4757575,null,800000,35800,null,null,null,1460000,null,null,null,null,null,null,90.4,null,null,null,null,null,null,null,23.5,null,null,9.1,null,1.26,67.5]
[null,"CUB","LCN","Cuba","UMC",12984.710940000001,68.900000000000006,4.5999999999999996,1.6,3,12.3,9.6,null,null,null,"No","No","No","Yes","Yes",11303687,null,null,null,565216,null,null,2692691.98,null,null,0.04,null,null,null,76.900000000000006,null,null,null,100,null,null,null,30.68,null,null,42.23,null,9.49,null,17.600000000000001,null,"Other"]
[null,"CUW","LCN","Curacao","HIC",27503.789059999999,null,null,null,null,null,null,null,null,null,null,"Yes","Yes",null,null,153822,null,null,null,null,null,null,24703.813200000001,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2,null,98]
[null,"CYM","LCN","Cayman Islands","HIC",66207.445309999996,10.9,3.5,6.2,11.4,31.1,11,null,7.3,18.600000000000001,null,"Yes","Yes",null,null,59172,null,null,null,null,null,null,60000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,21,null,79]
[null,"CYP","ECS","Cyprus","HIC",39544.683590000001,41.47,2.66,3.25,10.07,25.7,14.77,null,2.08,null,"Yes","Yes","Yes","No","Yes",1198575,112018,1377767,18137,173377,null,21404,769485.125,null,null,null,null,null,null,null,92.42,null,null,null,null,null,4.62,null,null,74.489999999999995,null,null,13.31,null,7.58]
[null,"CZE","ECS","Czech Republic","HIC",40836.328130000002,62.3,2.4,8.4,14.9,9.1,2.2000000000000002,null,0.7,null,null,"Yes","Yes","Yes",null,10669709,583264,13379041,79581,1162342,null,797432,5334854.5,null,null,null,null,null,null,null,100,null,null,null,null,null,4.22,null,17.68,52.59,null,null,25.5,null,0.01]
[null,"DEU","ECS","Germany","HIC",53784.78125,30,10,1.4,17.7,24,13,4,null,null,null,"Yes","Yes","Yes","Yes",83132800,15011037,275413069,2465085,21812660,null,8821344,50627876,null,null,null,null,null,null,null,97.55,null,null,null,null,null,18.23,null,31.71,0.21,null,null,47.83,null,2.02]
[null,"DJI","MEA","Djibouti","LMC",6596.7753910000001,null,null,null,null,null,null,null,null,null,null,null,null,null,null,746221,null,null,900,null,null,null,114997.249]
[null,"DMA","LCN","Dominica","UMC",11708.639649999999,45,8,5,14,12,16,null,null,null,"Yes","Yes","Yes","No",null,72400,null,null,null,627,null,null,13176,null,null,null,null,null,null,94,null,null,null,null,null,null,null,94,null,null,null,null,null,null,6,null,"Disposal site"]
[null,"DNK","ECS","Denmark","HIC",57821.199220000002,12.78,5.78,6.29,23.86,11.57,1.61,0,7.65,30.46,"Yes","Yes","Yes","Yes","Yes",5818553,1087281,11402900,168614,1718394,null,317413,4910858.5,null,null,null,null,null,null,null,100,null,null,null,null,null,18.989999999999998,null,52.59,1.1299999999999999,null,null,27.27,null,0.02]
[null,"DOM","LCN","Dominican Republic","UMC",15328.35254,51,6,3,10,16,10,null,4,null,"No","Yes","No","No",null,10528394,null,null,57000,null,null,null,4063910,null,null,null,null,null,74.900000000000006,null,null,null,null,null,null,null,null,null,null,null,72.575831399999998,null,8.1999999999999993,0.1,19.124168600000001,null,"Other"]
[null,"DZA","MEA","Algeria","UMC",11826.16504,54.4,1.2,2.8,0.8,9.8000000000000007,16.899999999999999,12.6,1.5,null,"Yes","Yes","Yes",null,"Yes",40606052,null,11000000,252000,330000,2547000,30000,12378740,null,null,87.5,null,null,null,null,null,null,null,87.5,null,null,1,2,null,null,null,null,8,89,null,null,"Disposal Site"]
[null,"ECU","LCN","Ecuador","UMC",11896.37695,58.67,3.01,1.53,13.78,10.25,11.44,0.45,0.86,null,"Yes","Yes","No","Yes","Yes",16144368,null,null,73000,193812,null,11292,5297211.1430000002,null,63.4,null,null,null,88.4,null,null,null,99.3,null,null,null,null,null,null,null,22.28,null,12.9,53.22,11.6]
[null,"EGY","MEA","Egypt, Arab Rep.","LMC",10301.10742,56,4,2,15,10,13,null,null,null,"Yes","Yes","No","Yes",null,87813256,30000000,4000000,497000,380000,6000000,28300,21000000,null,null,15,null,null,null,null,null,null,null,57.5,null,null,7,null,null,7,84,null,12.5,null,null,null,"Disposal Site"]
[null,"ERI","SSF","Eritrea","LIC",1714.5523679999999,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4474690,null,null,3800,null,null,null,726957.37]
[null,"ESP","ECS","Spain","HIC",40985.558590000001,49,8,3,14,15,9,null,2,null,"No","Yes","Yes","Yes","Yes",47076780,8058640,52155411,1202597,2984518,null,2990346,22408548,null,null,null,null,null,null,null,100,null,null,null,null,null,16.45,null,11.62,55.09,null,null,16.84]
[null,"EST","ECS","Estonia","HIC",36956.285159999999,36.700000000000003,8.3000000000000007,2.6,15.9,17.5,18.600000000000001,null,0.4,null,"Yes","Yes","Yes","No","Yes",1326590,149633,18094986,34312,10410321,null,1750157,489511.71879999997,null,null,null,null,null,null,null,86.89,null,null,null,null,null,3.6,7.4,51.37,null,null,null,24.74,null,12.89]
[null,"ETH","SSF","Ethiopia","LIC",1779.0839840000001,87.6,0.8,1.2,4.4000000000000004,3.8,2.2999999999999998,null,null,null,null,"Yes","Yes",null,null,99873032,null,null,49000,null,null,null,6532786.9699999997,null,null,null,null,null,null,null,50,null,null,null,null,null,null,null,null,null,43,null,null,null,57]
[null,"FIN","ECS","Finland","HIC",48814.308590000001,35.880000000000003,9.24,1.7,13.13,37.83,1.45,null,0.73,null,"Yes","Yes","Yes","Yes","Yes",5520314,1079091,84662998,212954,1998693,null,1006713,3124497.75,null,null,null,null,null,null,null,100,null,null,null,null,null,12.45,null,47.92,11.5,null,null,28.12,null,0.01]
[null,"FJI","EAS","Fiji","UMC",10787.68555,33.200000000000003,4.0999999999999996,1.9,3.5,12.5,7.5,0.1,null,37.200000000000003,null,"Yes","Yes","Yes",null,867086,null,null,4600,null,null,316.16000000000003,189389.59400000001,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,52,null,null,5.45,null,42.55,null,"Household waste collected"]
[null,"FRA","ECS","France","HIC",46110.183590000001,32,10,3,26,20,9,null,null,null,null,"Yes","Yes","Yes",null,67059888,11304163,236301207,2218682,10783405,null,4867183,36748820,null,null,null,null,null,null,null,100,null,null,null,null,null,17.260000000000002,null,34.700000000000003,25.76,null,null,22.26,null,0.02]
[null,"FRO","ECS","Faeroe Islands","HIC",44402.878909999999,null,null,null,null,null,null,null,null,null,null,null,"Yes","No",null,48842,null,null,null,null,null,null,61000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,67,null,33]
[null,"FSM","EAS","Micronesia, Fed. Sts.","LMC",3440.0642090000001,23.83,7.07,16.73,9.32,13.3,26.17,3.58,null,null,null,"Yes","Yes","None",null,104937,null,null,200,null,null,73.47,26039.57,null,null,null,null,null,null,8,null,null,null,35]
[null,"GAB","SSF","Gabon","UMC",18514.652340000001,null,null,null,null,null,null,null,null,null,null,null,null,"Yes",null,1086137,null,null,14000,null,null,null,238102.31,null,null,3.8,null,null,null,23.6,null,null,null,28.5]
[null,"GBR","ECS","United Kingdom","HIC",46290.121090000001,16.7,2.2000000000000002,3.5,28.2,18.899999999999999,20.2,null,7.6,2.7,"Yes","Yes","Yes","No",null,66460344,10365788,156803699,3584126,5755258,null,4218205,30771140,null,null,null,null,null,null,null,97.43,null,null,null,null,null,16.23,null,31.38,22.568000000000001,null,null,27.25,null,2.5720000000000001]
[null,"GEO","ECS","Georgia","LMC",12605.139649999999,39,3,5,16,34,3,null,null,null,"No","No","Yes",null,null,3717100,null,null,21000,null,null,null,800000,null,null,null,null,null,null,60]
[null,"GHA","SSF","Ghana","LMC",3092.5969239999999,67,0,1,25,3,4,null,null,null,null,"Yes","Yes","Yes",null,21542008,null,null,39000,null,null,null,3538274.9780000001]
[null,"GIB","ECS","Gibraltar","HIC",43711.800779999998,24.57,4.42,4.37,14.38,33.65,15.86,null,null,null,null,"Yes","Yes","Yes","Yes",33623,null,30000,201.44,58995.040000000001,null,null,16954]
[null,"GIN","SSF","Guinea","LIC",1622.7768550000001,58,1,1,27,9,4,null,null,null,null,null,"Yes","Yes",null,8132552,null,null,8000,null,null,null,596911,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5,null,95]
[null,"GMB","SSF","Gambia, The","LIC",2180.8557129999999,35,1.9,2.1,51.4,9.6999999999999993,null,null,null,null,null,"Yes","Yes","No",null,1311349,null,null,2200,null,null,null,193440.54]
[null,"GNB","SSF","Guinea-Bissau","LIC",1800.0686040000001,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1770526,null,null,1000,null,null,null,289514]
[null,"GNQ","SSF","Equatorial Guinea","UMC",24827.072270000001,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1221490,null,null,null,null,null,null,198443.06]
[null,"GRC","ECS","Greece","HIC",30465.449219999999,40,3,3,9,29,14,2,null,null,"No","Yes","Yes","Yes","Yes",10716322,575225,59985396,188460,221041,null,251623,5615352.5,100,null,null,null,100,null,null,null,100,null,null,null,null,null,null,null,80,null,1,19]
[null,"GRD","LCN","Grenada","UMC",13207.71191,27.1,3.1,2.4,36.5,13.6,16.399999999999999,0.9,null,null,"Yes","Yes","Yes","Yes",null,105481,null,null,800,null,null,null,29536.113939999999,null,null,null,null,null,98.3,null,null,null,null,null,null,null,0.2,98.3,null,null,null,1.5,null,null,null,null,"Disposal Site"]
[null,"GRL","ECS","Greenland","HIC",43948.5625,42.8,7.1,2,33.4,11.4,2.4,null,1,null,null,null,"Yes","No",null,56905,null,null,null,730,null,null,50000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,40,60]
[null,"GTM","LCN","Guatemala","UMC",8125.3647460000002,37.714491180000003,4.3918355800000004,null,18.01847364,16.046702150000002,17.29080875,null,null,6.5376886909999996,null,null,"No","Yes",null,16252429,null,null,55000,10051,null,818.6,2756740.9709999999,null,null,null,null,null,null,77.7,null,null,null,null,null,null,null,9.6,null,null,69.8,null,null,15.4,5.2]
[null,"GUM","EAS","Guam","HIC",59074.941409999999,27.3,4.5999999999999996,9,8.6999999999999993,28.5,12.4,3.1,6.4,null,null,"Yes","Yes","Yes","Yes",159973,null,null,null,null,null,null,141500,null,null,100,null,null,null,100,null,null,null,100,null,null,null,null,null,null,null,null,17.850000000000001,64,18.149999999999999]
[null,"GUY","LCN","Guyana","UMC",9812.0898440000001,50.1,4.7,4.2,12.1,10.7,14.2,1.5,2.5,null,"No","Yes","No","No","No",746556,null,null,5000,741.78,null,null,179251.5,null,null,null,null,null,null,89,null,null,null,null,null,null,null,null,null,61.37,null,null,0.54,null,38.090000000000003,null,"Other"]
[null,"HKG","EAS","Hong Kong SAR, China","HIC",57215.96875,35,3,2,14,22,21,null,3,null,"Yes","Yes","Yes","Yes","Yes",7305700,null,1533000,70000,54812,null,2268,5679816.4649999999,null,null,null,null,null,null,100,null,null,null,null,null,null,null,null,null,66,null,null,34]
[null,"HND","LCN","Honduras","LMC",5395.6137699999999,57.9,1.27,2.11,6.62,17.36,14.41,0.33,null,null,"No",null,"Yes","Yes",null,9112867,null,null,1700,253.14,null,null,2162027.696,null,null,null,null,null,null,64.599999999999994,null,null,null,null,null,null,null,59.9,null,null,15,null,null,11.3,13.8]
[null,"HRV","ECS","Croatia","HIC",28829.355469999999,30.9,3.7,2.1,11.5,23.2,22.9,null,null,5.7,"Yes","Yes","Yes","Yes",null,4067500,395664,805354,58078,130326,null,56814,1810037.5,null,null,null,null,null,null,null,97.76,null,null,null,null,null,1.69,null,null,79.75,null,null,16.32,null,2.2400000000000002]
[null,"HTI","LCN","Haiti","LIC",2952.6186520000001,61.3,1.6,2.5,16.8,4.0999999999999996,12.7,null,1,null,"No","No","No","No","No",10847334,null,null,6000,null,null,null,2309852.4550000001,null,0.4,null,null,null,12.4,null,null,null,null,23.8,null,null,null,9.94,null,null,null,null,null,null,90.06,null,"Source"]
[null,"HUN","ECS","Hungary","HIC",32643.490229999999,22.5,3.5,1.8,45.9,13.4,13,null,null,null,"Yes","Yes","Yes","Yes","Yes",9769949,699238,7605276,50066,596554,null,489182,3780970.25,null,null,null,null,null,null,null,99.94,null,null,null,null,null,6.22,null,14.14,53.64,null,null,25.94,null,0.06]
[null,"IDN","EAS","Indonesia","LMC",10531.19824,53.8,2.5,1.8,12.9,14.9,14,null,null,null,null,"Yes","Yes","Yes",null,261115456,122000000,null,1274000,23000000,null,82125,65200000,null,null,null,null,null,null,45,null,null,null,null,null,null,null,null,null,69,10,14,7]
[null,"IMN","ECS","Isle of Man","HIC",44203.621090000001,null,null,null,null,null,null,null,null,null,"Yes","Yes","Yes",null,"Yes",80759,null,122965,null,null,48783,null,50551,null,null,null,null,null,null,null,96,null,null,null,null,null,null,null,25,25,null,null,50]
[null,"IND","SAS","India","LMC",6496.8076170000004,null,null,null,null,null,null,null,null,null,"No","Yes","Yes","Yes","Yes",1352617344,null,27500000,1700000,7467000,null,180784.5,189750000,null,null,null,null,null,null,null,null,null,null,null,78.19,null,18,null,null,null,77,null,5]
[null,"IRL","ECS","Ireland","HIC",83388.71875,16.600000000000001,8.5,3.7,25.8,25,12.4,null,1.9,6.1,null,"Yes","Yes","Yes","Yes",4867316,554285,7898378,212874,482907,null,776112,2910655,null,null,null,null,null,null,null,92.04,null,null,null,null,null,6,41,17,null,null,2,33,null,1]
[null,"IRN","MEA","Iran, Islamic Rep.","UMC",14535.862300000001,72.900000000000006,1.9,2.2999999999999998,5,7.3,8.5,1.1000000000000001,1.3,null,"No","Yes","Yes","Yes","No",80277424,16049000,80000000,630000,8000000,30000000,1609650,17885000,null,null,100,null,null,null,100,null,null,null,100,null,0.3,12,10,0.4,null,72,null,5,null,0.3,null,"Source"]
[null,"IRQ","MEA","Iraq","UMC",10310.679690000001,68.7,2.2999999999999998,0.98,6,9.6,5.29,5.09,0.85,0.93,"No","No","No",null,null,36115648,null,null,221000,20622,null,null,13140000,null,null,null,null,null,null,76,null,null,null,null,null,null,null,null,null,null,100,null,null,null,null,null,"Source"]
[null,"ISL","ECS","Iceland","HIC",55274.1875,10,null,null,null,38,9,null,29,14,null,"Yes","Yes","No","Yes",343400,5000,1000,7600,7000,10000,null,225270.4063,null,null,null,null,null,null,100,null,null,null,null,null,null,2.86,null,1.9,30.29,null,9.14,55.81]
[null,"ISR","MEA","Israel","HIC",37687.746090000001,34,3,3,16,24,18,null,null,2,null,"Yes","Yes",null,"Yes",8380100,null,7000000,120000,321000,null,null,5400000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,75,null,null,25]
[null,"ITA","ECS","Italy","HIC",42419.722659999999,34.4,7.6,4.3,15.4,22.8,11.6,null,3.8,null,"Yes","Yes","Yes","No",null,60297396,6921585,61938678,2800026,8923548,null,16071024,30088400,null,null,null,null,null,null,null,88.92,null,null,null,null,null,17.600000000000001,null,19,26.48,null,null,25.9,null,11.02]
[null,"JAM","LCN","Jamaica","UMC",9550.8105469999991,62.22,2.81,2.38,5.13,14.73,12.2,null,0.53,null,"Yes","Yes","Yes","Yes","Yes",2881355,null,null,17000,10000,null,206.58,1051694.575,null,28,null,null,null,63.99,76,null,null,67,null,null,null,null,64,null,null,null,29,null,null,7,null,"Source"]
[null,"JOR","MEA","Jordan","UMC",10413.17578,50,2,1.5,15.5,15,16,null,null,null,null,"No","Yes","Yes",null,8413464,4000000,null,43000,1230441,45000,4000,2529997,null,null,70,null,null,null,null,null,null,null,90,null,null,null,null,null,48,45,null,7,null,null,null,"Disposal Site"]
[null,"JPN","EAS","Japan","HIC",41309.957029999998,36,5,4,6,33,11,1,4,null,"Yes","No","Yes","Yes",null,126529104,35109000,72690000,518978,3600000,392840000,320000,42720000,null,null,null,null,null,null,99.9,null,null,null,null,null,0.1,0.4,1.1000000000000001,80.2,null,null,13.3,4.9000000000000004,null,null,null,"Source"]
[null,"KAZ","ECS","Kazakhstan","UMC",22702.58008,30,5,3,7,25,25,null,2.5,null,"No","Yes","Yes","Yes","No",16791424,null,null,147000,null,null,null,4659740,null,null,25,null,null,null,77,null,null,null,null,null,null,null,null,null,null,60.1,null,2.92,null,36.979999999999997,null,"Disposal site"]
[null,"KEN","SSF","Kenya","LMC",3329.8544919999999,57,3,1,9,11.3,18.7,null,null,null,null,null,"Yes",null,null,41350152,null,null,17350,null,null,909182,5595099,null,null,null,null,null,null,40,40,null,null,null,null,null,null,null,null,null,null,null,8,null,92]
[null,"KGZ","ECS","Kyrgyz Republic","LMC",4805.1411129999997,null,null,null,null,null,null,null,null,null,"No","Yes","Yes","Yes",null,5956900,17900,3600,7200,4771346,null,null,1113300,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,100,null,null,null,null,null,"Disposal Site"]
[null,"KHM","EAS","Cambodia","LMC",3364.2788089999999,66.599999999999994,2.6,2,10.4,4,8.6,null,5.8,null,"No","Yes","Yes","Yes",null,15270790,null,null,14000,null,null,147.09,1089000,null,null,null,null,null,null,null,null,null,null,50,null,null,null,null,null,null,null,17.5,null,null,82.5]
[null,"KIR","EAS","Kiribati","LMC",2249.7685550000001,43.6,5.5,10,9.3000000000000007,10.9,16.5,4.2,null,null,null,"Yes","Yes","No",null,114395,null,null,100,null,766.5,16.22,35723.827499999999,null,null,null,null,null,null,54,null,null,null,100]
[null,"KNA","LCN","St. Kitts and Nevis","HIC",25569.35742,27.2,8.1,8.8000000000000007,12.2,20.5,23.2,null,null,null,"Yes","Yes","Yes","No","Yes",54288,null,null,700,null,null,null,32892.14,null,null,null,null,null,null,95,null,null,null,null,null,null,null,100,null,null,null,null,null,null,null,null,"Disposal site"]
[null,"KOR","EAS","Korea, Rep.","HIC",42105.28125,30,2.5,2.6,null,41,24.3,null,null,null,"Yes","Yes","Yes","Yes",null,51606632,null,68119600,570635,null,39810000,null,20452776,null,null,null,null,null,null,99.92,99.9,null,null,null,null,null,1,null,25,16,null,null,58]
[null,"KWT","MEA","Kuwait","HIC",58810.300779999998,45,4,2,8,20,20,null,1,1,"No","Yes","Yes",null,null,2998083,null,1149000,67000,203000,7000,33000,1750000,null,null,null,null,null,null,100,null,null,null,null,null,null,null,null,null,null,100,null,null,null,null,null,"Disposal Site"]
[null,"LAO","EAS","Lao PDR","LMC",6543.6669920000004,16.899999999999999,9.3000000000000007,3.7,20.3,2.8,6.1,1.1000000000000001,38.200000000000003,1.2,"None","Yes","Yes","Yes",null,6663967,null,null,7500,5200,49500,1200,351900,null,null,null,35,null,null,null,55,null,null,null,60,null,null,30,null,null,60,null,10,null,null,null,"At disposal site"]
[null,"LBN","MEA","Lebanon","UMC",16966.740229999999,52.5,3.5,5.5,11,16,11.5,null,null,null,"No","Yes","No","No","No",5603279,null,null,51000,46000,null,5568,2040000,null,null,99,null,null,null,null,null,null,null,100,null,null,15,48,null,null,29,null,8,null,null,null,"Source"]
[null,"LBR","SSF","Liberia","LIC",1333.422241,null,null,null,null,null,null,null,null,null,null,"Yes","Yes","Yes",null,3512932,null,null,null,null,null,null,564466.69999999995]
[null,"LBY","MEA","Libya","UMC",8479.9462889999995,70.099999999999994,3.1,4.3,3.8,5.5,7.5,null,2.5,null,"No","Yes","No",null,null,6193501,null,3641150,70000,null,null,null,2147596.4720000001]
[null,"LCA","LCN","St. Lucia","UMC",14029.98242,45,7,5,11,10,22,null,null,null,"Yes","Yes","Yes","Yes","Yes",177206,null,null,1600,2732,null,49.63,77616.228000000003,null,null,null,null,null,96.8,100,null,null,null,null,null,null,0.1,96.8,null,null,null,2.6,null,null,0.5,null,"Disposal site"]
[null,"LIE","ECS","Liechtenstein","HIC",45726.988279999998,37.6,5,12.5,9.1,30.3,5.4,null,null,null,null,"Yes","Yes","No",null,36545,2612,513728,293,1204,null,127,32382,null,null,null,null,null,null,100,null,null,null,null,null,null,null,null,null,null,null,null,64.599999999999994,null,35.4]
[null,"LKA","SAS","Sri Lanka","LMC",12287.472659999999,62,2,3,13,7,7,null,6,null,"Yes","Yes","Yes","No","Yes",21203000,null,65700,72.5,null,53000,9855,2631650,null,null,null,null,null,null,null,null,null,null,null,null,null,5,null,null,null,85,null,12.79,null,null,null,"Databases"]
[null,"LSO","SSF","Lesotho","LMC",1978.6083980000001,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1965662,null,null,1800,null,null,null,73457,null,0.97,null,null,null,4.22,20,null,null,11.76]
[null,"LTU","ECS","Lithuania","HIC",37278.304689999997,40.4,8.65,2.75,44.05,10.050000000000001,10.15,null,0.6,null,"No","Yes","Yes","Yes",null,2786844,551038,3011590,82691,165477,null,70124,1315390.375,null,null,90,null,null,null,null,98.69,null,null,96,null,null,10.15,null,11.54,54,null,null,22.92,null,1.39]
[null,"LUX","ECS","Luxembourg","HIC",114323.4063,30,4,2,27,19,18,null,null,null,"Yes","Yes","Yes","No",null,619896,95427,6272673,7398,237180,null,47825,490337.75,null,null,null,null,null,null,null,100,null,null,null,null,null,19.66,null,33.99,17.7,null,null,28.37,null,0.28000000000000003]
[null,"LVA","ECS","Latvia","HIC",30982.17383,46.7,21.4,2.6,9.6999999999999993,6.1,7.7,3.6,2.4,null,null,"Yes","Yes","Yes","Yes",1912789,105480,671423,25071,104142,null,65624,839714.375,null,null,null,null,null,null,null,84.36,null,null,null,null,null,5.48,null,null,57.64,null,null,21.23,null,15.65]
[null,"MAC","EAS","Macao SAR, China","HIC",117335.58590000001,3.1,3.3,1.7,3.1,58.7,7.9,null,22.3,null,"Yes","Yes","Yes","Yes","Yes",612167,null,52000,11000,3118,null,11493,377942,null,null,null,null,null,null,100,null,null,null,null,null,null,null,null,null,null,null,null,20,null,80]
[null,"MAF","LCN","St. Martin (French part)","HIC",30385.894530000001,null,null,null,null,null,null,null,null,null,null,null,"Yes","Yes","Yes",30959,null,null,null,null,null,null,15479.5]
[null,"MAR","MEA","Morocco","LMC",6915.1030270000001,60,2,2.5,6,9,8,null,null,null,"No","No","Yes","Yes","Yes",34318080,null,7000000,30300,289385,1599710.62,21000,6852000,null,null,null,null,null,null,null,null,null,null,85,null,null,1,null,null,null,52,2,8,37,null,null,"Disposal site"]
[null,"MCO","ECS","Monaco","HIC",43711.800779999998,null,3,2.2000000000000002,null,2.2000000000000002,1,null,null,null,"Yes","Yes","Yes","Yes","Yes",37783,null,null,null,312.07,null,null,46000,null,null,null,null,null,null,100,null,null,null,null,null,null,null,null,85,null,null,null,5.4,null,9.6]
[null,"MDA","ECS","Moldova","LMC",10360.83008,55,4,3,23,5,10,null,null,null,"No","Yes","Yes","Yes","Yes",3554108,null,1400000,6300,418,2841700,15700,3981200,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,35.08,null,15.32,null,49.6,null,"Other"]
[null,"MDG","SSF","Madagascar","LIC",1565.866943,null,null,null,null,null,null,null,null,null,null,null,"Yes","Yes",null,24894552,null,null,14000,45957,null,null,3768759.16,null,null,null,null,null,null,17.7,null,null,null,null,null,null,3.5,null,null,null,96.7]
[null,"MDV","SAS","Maldives","UMC",17284.609380000002,24,null,1,1,6,3,null,null,65,"No","Yes","Yes","No","Yes",409163,null,6161.2,3003.95,15105.525,null,1737.4,211505.78,null,null,null,null,null,null,38.200000000000003,null,null,null,null,null,null,7,null,6,null,null,24,null,null,null,63,"Ministry forecast"]
[null,"MEX","LCN","Mexico","UMC",19332.074219999999,52.4,5.9,3.4,12.1,13.8,10.9,null,null,null,"Yes",null,"Yes","Yes",null,125890952,null,6000000,957900,18172.490000000002,null,978.06,53100000,null,null,null,null,null,null,null,93.4,null,null,null,null,null,null,null,null,null,21,null,5,74.5]
[null,"MHL","EAS","Marshall Islands","UMC",3628.8952640000002,8,2,6,31,11,13,null,null,29,null,"Yes","Yes","None",null,52793,null,null,null,null,null,43.16,8614,null,null,null,null,null,null,49,null,null,null,66,null,null,6,null,null,null,null,null,30.8,null,63.2]
[null,"MKD","ECS","Macedonia, FYR","UMC",16147.72949,29.3,4.0999999999999996,2.5,19.8,12.8,13.9,0.9,0.7,16,"Yes","Yes","Yes","Yes",null,2082958,91933,121551,1220,40797,null,951293,626970.375,null,null,null,null,null,null,73,76.61,null,null,null,null,null,0.1,null,null,99.72,null,null,0.18,null,null,null,"Disposal Site"]
[null,"MLI","SSF","Mali","LIC",2007.80603,17.5,1,3.5,72.5,3.5,2,null,null,null,null,null,null,"Yes",null,16006670,null,null,12000,null,null,null,1937354.44]
[null,"MLT","MEA","Malta","HIC",43707.539060000003,52,6,4,9.5,18,12,null,null,null,"Yes","Yes","Yes","Yes",null,502653,16607,1258426,7643,36523,106235,23418,348841.1875,null,null,null,null,null,null,null,96.65,null,null,null,null,null,null,null,0.37,null,null,null,6.69,89.59,3.35]
[null,"MMR","EAS","Myanmar","LMC",1093.788086,null,null,null,null,null,null,null,null,null,null,"Yes","Yes","Yes",null,46095464,null,null,55000,null,54750,648.20000000000005,4677306.5290000001,null,null,null,null,null,null,60,null,null,null,null,null,null,null,null,null,null,null,8,null,null,92,null,"Household"]
[null,"MNE","ECS","Montenegro","UMC",20752.621090000001,33.82,8.9700000000000006,2.9,19.46,13.72,18.420000000000002,null,2.7,null,"Yes","Yes","Yes","No",null,622227,null,92228,6200,3819.21,453791.52,2331.4,329780.3125,null,null,null,null,null,null,75.900000000000006,96.99,null,null,null,null,null,null,null,null,null,91.57,null,5.42,null,3.01]
[null,"MNG","EAS","Mongolia","LMC",10940.41504,22.7,null,null,50.1,12.7,14.5,null,null,null,null,null,"Yes","Yes",null,3027398,null,126300,14000,null,81400,967.25,2900000,null,null,null,40,null,null,null,null,null,null,null,70,null,null,null,null,null,93.5,null,null,null,6.5]
[null,"MNP","EAS","Northern Mariana Islands","HIC",60955.726560000003,43.6,5.5,10,9.3000000000000007,10.9,16.5,4.2,null,null,null,"Yes","Yes",null,"Yes",54036,null,null,null,null,null,null,32761.414499999999,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,36,null,64]
[null,"MOZ","SSF","Mozambique","LIC",1217.0902100000001,60,null,null,15,25,null,null,null,null,null,"Yes","Yes",null,null,27212382,null,null,17000,null,null,null,2500000,null,null,null,null,null,null,null,52.5,null,null,null,null,null,null,null,null,null,99,null,1]
[null,"MRT","SSF","Mauritania","LMC",4783.6357420000004,4.8,4,4.2,59.7,7.3,20,null,null,null,null,null,"Yes","No",null,3506288,null,null,5100,null,null,null,454000,null,null,5,null,null,null,null,null,null,null,30,null,null,null,37.299999999999997,null,null,54.7,null,8]
[null,"MUS","SSF","Mauritius","UMC",20646.933590000001,64,2.8,null,8,13,12.4,null,null,null,null,null,"Yes","Yes",null,1263473,null,null,11000,17000,null,null,438000,null,null,null,null,null,null,98,83.731506850000002,null,null,null,null,null,9,null,null,null,null,null,null,91]
[null,"MWI","SSF","Malawi","LIC",999.4413452,null,null,null,null,null,null,null,null,null,null,null,null,null,null,16577147,null,null,9500,null,null,null,1297844.48]
[null,"MYS","EAS","Malaysia","UMC",23906.265630000002,46,3,3,9,14,15,3,7,null,"No","Yes","Yes","Yes","Yes",30228016,42000000,null,280000,2918478,831835,19500,12982685,null,null,null,null,null,null,null,95,null,null,null,null,null,1,null,null,71.5,null,null,17.5,10,null,null,"Landfill"]
[null,"NAM","SSF","Namibia","UMC",6152.9873049999997,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1559983,null,null,14000,null,null,null,256729,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4.5,null,95.5]
[null,"NCL","EAS","New Caledonia","HIC",57330.203130000002,43.6,5.5,10,9.3000000000000007,10.9,16.5,4.2,null,null,null,null,"Yes",null,null,278000,null,null,null,null,null,324,108157.38400000001,null,null,null,null,null,null,67,null,null,null,100]
[null,"NER","SSF","Niger","LIC",1038.224121,38,null,1,57,2,2,null,null,null,null,null,"Yes","Yes",null,8842415,null,null,7900,554000,null,null,1865645.67,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,64,12,4,null,20]
[null,"NGA","SSF","Nigeria","LMC",4690.3793949999999,null,3.1,null,11.3,8,4.8,null,null,null,null,null,"Yes","Yes",null,154402176,null,null,277000,null,null,null,27614830.07,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,40,null,60]
[null,"NIC","LCN","Nicaragua","LMC",4611.8403319999998,null,null,null,null,null,null,null,null,null,null,null,"Yes",null,null,5737723,null,null,10800,2837,null,null,1528816.2930000001,null,null,null,null,null,null,92.3,null,null,null,null,null,null,null,null,null,19.600000000000001,59.3,21.1]
[null,"NLD","ECS","Netherlands","HIC",56849.375,35,5.4,4.3,20.239999999999998,21,14,null,null,null,"Yes","Yes","Yes","No",null,17332850,14718640,96206470,534410,4830495,null,2391871,8805088,null,null,null,null,null,null,null,100,null,null,null,null,null,27.1,null,47.369,1.4119999999999999,null,null,24.61]
[null,"NOR","ECS","Norway","HIC",64962.261720000002,15.49,4.5999999999999996,6.12,13.15,26.57,2.25,null,17.21,14.68,"Yes","Yes","Yes","Yes","Yes",5347896,399805,3030449,150000,1482000,415000,1054590,4149967.25,null,null,null,null,null,null,99,null,null,null,null,null,null,16.690000000000001,null,52.35,null,null,null,26.16,3.38,1.42]
[null,"NPL","SAS","Nepal","LIC",2902.249268,52.39,4.3600000000000003,1.9,7.12,18.21,15.14,0.9,null,null,null,"Yes","Yes","Yes",null,28982772,null,null,23000,5051,null,13408.27,1768977.49,null,null,null,50,null,null,null,62.3,null,null,null,80,null,2.87,null,null,37,null,null,null,null,60.13,null,"At generator level"]
[null,"NRU","EAS","Nauru","UMC",11167.31934,43.6,5.5,10,9.3000000000000007,10.9,16.5,4.2,null,null,null,"Yes","Yes","No",null,13049,null,null,null,null,null,null,6191.7505000000001,null,null,null,null,null,null,100,null,null,null,100]
[null,"NZL","EAS","New Zealand","HIC",41857.476560000003,28,4,4.5,37,7,8,1,11,null,"Yes","Yes","Yes","Yes","Yes",4692700,132.5342,3000000,95000,null,1750000,null,3405000,null,null,null,null,null,null,97,null,null,null,null,null,null,null,null,null,100]
[null,"OMN","MEA","Oman","HIC",30535.833979999999,34.64,3.11,3.65,12.71,14.54,25.66,null,2.56,3.13,"No","Yes","Yes","Yes",null,4933850,184423.78,null,null,1399444.87,22586.18,4219,3307951,null,null,null,null,null,null,null,null,null,null,null,null,null,null,73,0.69,null,0,0.1,26.21]
[null,"PAK","SAS","Pakistan","LMC",4571.4145509999998,30,6,4,20,13,9,2,2,14,"No","Yes","No","Yes",null,193203472,82120000,null,301000,1538000,null,292000000,30760000,null,null,null,30,null,null,null,null,null,null,null,70,null,2,null,null,40,50,null,8,null,null,null,"Waste generated in 8 cities"]
[null,"PAN","LCN","Panama","HIC",28436.359380000002,46.4,5.8,3.8,5.7,26.3,12,null,null,null,null,null,"Yes",null,null,3969249,null,null,3200,null,null,3094.7,1472262.2150000001,null,null,null,null,null,null,84.9,null,null,null,null,null,null,null,16,null,null,23.4,18.899999999999999,null,41.7]
[null,"PER","LCN","Peru","UMC",11877.083979999999,50.43,3.05,2.64,21.7,7.44,10.52,1.25,null,2.97,"Yes","Yes","Yes","Yes","Yes",30973354,null,null,182000,660180.17929999996,null,7176,8356711.1299999999,null,38.200000000000003,null,null,null,null,82.93,null,null,95.3,null,null,null,null,15.58,null,null,56.39,null,4,24.03]
[null,"PHL","EAS","Philippines","LMC",7705.0454099999997,52.31,2.34,4.22,21.52,8.6999999999999993,10.55,0.37,null,null,"Yes","Yes","Yes","Yes","Yes",103320224,null,null,290000,4332222.32,null,null,14631922.9,null,null,null,40,null,null,null,null,null,null,null,70,null,null,null,null,null,null,null,28,null,72]
[null,"PLW","EAS","Palau","HIC",18275.025389999999,26,5,10,9,15,32,1,null,2,"None","None","Yes","None","Yes",21503,null,null,200,null,null,10.92,9426.7455000000009,null,null,null,null,null,null,77,null,null,null,100]
[null,"PNG","EAS","Papua New Guinea","LMC",3912.3811040000001,31,null,null,42,16.600000000000001,10,null,null,null,"None","Yes","Yes","Yes","None",7755785,null,null,7000,null,null,572,1000000,null,null,null,null,null,null,null,60,null,null,null,null,null,null,62,null,null,null,37,2]
[null,"POL","ECS","Poland","HIC",33221.542970000002,37.270000000000003,10.07,2.17,26.69,11.27,12.13,null,0.4,null,null,"Yes","Yes","Yes",null,37970872,4679634,135184220,224452,1679051,null,2486818,12758213,null,null,null,null,null,null,null,100,null,null,null,null,null,16.11,null,13.24,44.26,null,null,26.39]
[null,"PRI","LCN","Puerto Rico","HIC",34311.03125,13.1,2.4,10.4,23.8,19.399999999999999,10.4,null,null,20.5,null,"Yes","Yes","Yes","Yes",3473181,null,null,946.44,4.92,null,null,4170953,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,66.5,null,null,14,null,19.5]
[null,"PRT","ECS","Portugal","HIC",34961.945310000003,36.49,6.73,1.85,27.68,13.64,10.72,null,0.93,1.94,"Yes","Yes","Yes","Yes",null,10269417,183064,2743219,170078,701228,null,817492,5268211,null,null,null,null,null,null,null,100,null,null,null,null,null,14.12,null,20.68,48.97,null,null,16.23]
[null,"PRY","LCN","Paraguay","UMC",11810.427729999999,null,null,null,null,null,null,null,null,null,null,null,"Yes",null,null,6639119,null,null,34200,null,null,null,1818501.365,null,null,null,null,null,47.2,46.6,null,null,null,null,null,null,null,40.200000000000003,null,null,23.4,null,null,36.4]
[null,"PSE","MEA","West Bank and Gaza","LMC",5985.6831050000001,59.1,2.4,2.7,11.5,10.1,14.2,null,null,null,"Yes","Yes","Yes",null,"Yes",4046901,440000,null,null,62621,131344,4572,1387000,null,88,null,null,null,null,91.5,92.2,null,93,null,null,null,0.5,33,null,null,67,null,0.5,null,null,null,"Disposal site"]
[null,"PYF","EAS","French Polynesia","HIC",60955.726560000003,47,3,3,29,16,2,null,null,null,null,"Yes","No","No","Yes",273528,null,null,null,null,null,360,147000,null,null,null,null,null,null,51,null,null,null,100,null,null,null,null,null,null,null,null,39,null,61]
[null,"QAT","MEA","Qatar","HIC",96261.664059999996,57,4,9,5,11,14,null,null,null,"Yes","Yes","Yes",null,"No",2109568,null,9706885,29000,105000,64000,450000,1000990.0159999999,null,null,100,null,null,null,100,null,null,null,100,null,null,null,null,4,93,null,null,3]
[null,"ROU","ECS","Romania","UMC",29983.556639999999,56.26,4.8899999999999997,2.5,10.68,11.34,12.33,null,2,null,"Yes","Yes","Yes","Yes","Yes",19356544,1063964,162995232,132268,590300,null,915888,5419832.5,null,null,null,null,null,null,null,87.45,null,null,null,null,null,7.46,null,2.37,71.959999999999994,null,null,5.67,null,12.54,null,"Disposal site"]
[null,"RUS","ECS","Russian Federation","UMC",26012.849610000001,28.41,16.82,1.83,19.03,19.7,14.21,null,null,null,"Yes","Yes","Yes","Yes",null,143201680,null,null,1392000,110000000,null,null,60000000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,95,null,4.5,null,0.5]
[null,"RWA","SSF","Rwanda","LIC",1950.5280760000001,null,null,null,null,null,null,null,null,null,null,null,null,null,null,11917508,null,null,5900,null,null,null,4384969]
[null,"SAU","MEA","Saudi Arabia","HIC",48921.230470000002,45.5,4,5,2.5,27,11,null,5,null,"Yes","Yes","yes",null,null,31557144,null,null,508000,697000,null,25207,16125700.58,null,null,100,null,null,null,100,null,null,null,100,null,null,null,85,null,null,null,null,15,null,null,null,"Disposal site"]
[null,"SDN","SSF","Sudan","LMC",4191.8232420000004,51.4,3.5,1.7,18.899999999999999,11.8,12.7,null,null,null,null,null,null,null,null,38647804,null,null,51000,null,null,null,2831291,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,82,null,18]
[null,"SEN","SSF","Senegal","LIC",3067.6625979999999,12,2,2,68,5,9,null,2,null,"No","No","Yes","Yes",null,15411614,null,null,15000,null,null,null,2454059.25,null,null,null,28,null,null,21.4,null,null,null,40,null,null,null,5.0999999999999996,null,null,43.8,4.7,null,null,46.4]
[null,"SGP","EAS","Singapore","HIC",97341.46875,10.51,0.93,19.12,32.299999999999997,14.86,10.58,1.96,5.5,4.26,"Yes","Yes","Yes","Yes","Yes",5703600,null,1609300,100000,446870,null,null,1870000,null,null,null,null,null,null,100,null,null,null,null,null,null,null,null,37,2,null,null,61]
[null,"SLB","EAS","Solomon Islands","LMC",2596.4528810000002,42.8,6.65,13.15,3.7,6.45,22.35,4.9000000000000004,null,null,"No","Yes","Yes","No","Yes",563513,null,null,400,null,null,273.33999999999997,179971.9644,null,null,null,null,null,null,12,null,null,null,60,null,null,null,null,null,null,null,null,null,null,19,81]
[null,"SLE","SSF","Sierra Leone","LIC",1237.630249,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5439695,null,null,3400,null,null,null,610222.09]
[null,"SLV","LCN","El Salvador","LMC",7328.7133789999998,65,4,2,7,12,10,null,null,null,null,"Yes","Yes","Yes",null,6164626,null,null,30100,16465,null,null,1648996.18,null,null,null,null,null,null,78.8,null,null,null,null,null,null,null,null,null,null,13.8,7.9,null,78.2,0.1]
[null,"SMR","ECS","San Marino","HIC",58806.199220000002,5.35,5.61,0.9,65.56,13.21,5.6,null,1.28,2.4900000000000002,null,null,null,null,null,33203,null,null,null,null,null,null,17174.68,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,45.05,null,54.95]
[null,"SOM","SSF","Somalia","LIC",1862.6141359999999,null,null,null,null,null,null,null,null,null,null,null,null,null,null,14317996,null,null,null,null,null,null,2326099.17]
[null,"SRB","ECS","Serbia","UMC",18351.273440000001,37.619999999999997,5.44,1.38,16.72,13.57,12.73,0.4,null,12.14,"Yes","Yes","Yes","Yes",null,6944975,199453,46707848,14388,13475026,null,32888,2347401.5,null,null,null,null,null,null,70,74.67,null,null,null,null,null,null,null,null,73.91,null,null,0.76,null,25.33,null,"Other"]
[null,"SSD","SSF","South Sudan","LIC",1795.991943,null,null,null,null,null,null,null,null,null,null,null,null,null,null,11177490,null,null,null,null,null,null,2680681]
[null,"STP","SSF","São Tomé and Príncipe","LMC",3720.786865,null,null,null,null,null,null,null,null,null,null,null,null,null,null,191266,null,null,200,null,null,null,25586.5,null,null,null,null,null,null,48.4]
[null,"SUR","LCN","Suriname","UMC",16953.802729999999,57,3,3,24,null,11,null,null,null,"No","No","No","No","No",526103,null,null,5000,null,null,1270.2,78619.799150000006,null,null,15,null,null,null,79.5,48.7,null,null,70,null,null,null,null,null,null,63,null,null,null,37]
[null,"SVK","ECS","Slovak Republic","HIC",31965.761719999999,42,19,2,1,25,11,null,null,null,"Yes","Yes","Yes","Yes",null,5454073,920337,4023409,30911,375688,null,558605,2296164.75,null,null,null,null,null,null,null,94.34,null,null,null,null,null,7.29,null,10.71,68.72,null,null,7.62,null,5.66]
[null,"SVN","ECS","Slovenia","HIC",39037.933590000001,null,null,null,null,null,null,null,null,null,null,"Yes","Yes",null,null,2087946,289773,2071792,26359,155229,null,227873,1052324.75,null,null,null,null,null,null,null,93.84,null,null,null,null,null,7.67,null,17.059999999999999,22.68,null,null,46.44,null,6.15]
[null,"SWE","ECS","Sweden","HIC",52608.710939999997,23.34,9.15,9.1999999999999993,null,36.4,6.58,null,null,15.33,"Yes","Yes","Yes",null,null,10285453,2205186,152012352,721671,2568154,null,1315108,4618168.5,null,null,null,null,null,null,null,100,null,null,null,null,null,15.63,null,51.2,0.8,null,null,32.369999999999997]
[null,"SWZ","SSF","Eswatini","LMC",8321.1064449999994,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1343098,null,null,5700,null,null,null,218199.47]
[null,"SXM","LCN","Sint Maarten (Dutch part)","HIC",null,46,7,7,12,15,13,null,null,null,null,"Yes","Yes",null,"Yes",37685]
[null,"SYC","SSF","Seychelles","HIC",23302.953130000002,48.5,5.2,4.5999999999999996,25.8,5.9,9.9,0.2,0.5,null,null,"Yes","Yes","Yes","yes",88303,null,null,1100,null,null,null,48000]
[null,"SYR","MEA","Syrian Arab Republic","LIC",8587.0507809999999,57,3,4,22,7,7,null,null,null,null,"Yes","Yes",null,null,20824892,null,null,null,68000,null,4600,4500000,null,null,75,null,null,null,74,null,null,null,95,null,null,1.5,null,null,20,80,null,2.5,null,null,null,"Disposal site"]
[null,"TCA","LCN","Turks and Caicos Islands","HIC",28174.48242,21.8,20.5,7.6,2.4,31.5,16.3,null,null,null,null,null,"Yes","Yes",null,34900]
[null,"TCD","SSF","Chad","LIC",1732.691284,70,1,2,18,3,6,null,null,null,null,null,null,null,null,11887202,null,null,8800,null,null,null,1358850.53]
[null,"TGO","SSF","Togo","LIC",1404.1329350000001,38,2,4,42,4,10,null,null,null,null,"Yes","Yes","No",null,7228915,null,null,6400,1900,null,null,1109030.45,null,null,null,null,null,null,null,null,null,null,null,null,null,1.8,null,null,null,96.2,null,2]
[null,"THA","EAS","Thailand","UMC",16301.53809,65.52,3.04,1.85,4.74,7.6,17.59,0.46,0.8,null,null,"Yes","Yes","Yes",null,68657600,82230000,1100000,384233,3445000,37400000,53868,26853366,null,null,null,6,null,null,null,null,null,null,null,37,null,null,null,0.4,27,53.5,null,19.100000000000001]
[null,"TJK","ECS","Tajikistan","LIC",2616.475586,null,null,null,null,null,null,null,null,null,"No","Yes","Yes","Yes",null,8177809,null,null,null,null,null,null,1787400,null,null,null,null,null,null,38.25,null,null,null,null,null,null,null,null,null,null,100]
[null,"TKM","ECS","Turkmenistan","UMC",11471.186519999999,16.18,4.6399999999999997,11.44,62.54,null,2.19,null,3.01,null,"No","Yes","Yes","Yes",null,5366277,null,null,22000,1000,32300,null,500000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,100,null,null,null,null,null,null,"Disposal Site"]
[null,"TLS","EAS","Timor-Leste","LMC",3344.5737300000001,43.6,5.5,10,9.3000000000000007,10.9,16.5,4.2,null,null,null,"Yes","Yes","Yes",null,1268671,null,null,3600,null,null,53.66,63875]
[null,"TON","EAS","Tonga","UMC",5636.4184569999998,51.3,5.9,9,8.9,7.4,13.4,4.0999999999999996,null,null,null,"Yes","Yes","Yes",null,104951,null,null,300,null,null,102.23,17238.20175,null,null,null,25,null,null,71,null,null,null,null,65,null,null,null,null,40,null,null,null,null,60]
[null,"TTO","LCN","Trinidad and Tobago","HIC",28910.908200000002,27.15,10.15,3.74,17.190000000000001,22.6,19.170000000000002,null,null,null,"Yes","Yes","Yes","Yes","Yes",1328100,null,null,71.069999999999993,123914.1,null,250.75299999999999,727874,null,null,null,null,null,null,94.31,null,null,null,null,null,null,0.8,12,null,null,84,null,null,null,3.2,null,"Disposal Site"]
[null,"TUN","MEA","Tunisia","LMC",10505.262699999999,68,2,4,5,10,11,null,null,null,"Yes","Yes","Yes","Yes","Yes",11143908,4033000,null,90000,150000,116000,16000,2700000,null,null,5,null,null,null,65,null,null,null,80,null,null,5,null,null,70,21,null,4,null,null,null,"Disposal site"]
[null,"TUR","ECS","Turkey","UMC",28289.087889999999,64,2,1,24,6,3,null,null,null,null,"Yes","Yes","Yes",null,83429616,null,null,623000,3432426,null,null,35374156,null,null,null,null,null,null,null,88.12,null,null,null,null,null,1,null,null,null,44,null,null,54,1]
[null,"TUV","EAS","Tuvalu","UMC",3793.1276859999998,43.6,5.5,10,9.3000000000000007,10.9,16.5,4.2,null,null,"None","Yes","Yes","None",null,11097,null,null,10,null,null,5.72,3989.4865,null,null,null,null,null,null,47,null,null,null,100,null,null,null,null,null,null,14.5,null,15,null,70.5]
[null,"TWN","EAS","Taiwan","HIC",57362.925779999998,23.34,4.1100000000000003,3.07,14.11,30.01,20.23,0.6,null,4.43,null,null,"Yes","Yes",null,23434000,null,null,14036,null,null,null,7336000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,64.2,34.799999999999997,null,1]
[null,"TZA","SSF","Tanzania","LIC",2128.5539549999999,null,null,null,null,null,null,null,null,null,null,null,"Yes",null,null,49082996,null,null,38000,null,null,null,9276995,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,69,22.6,null,null,8.5]
[null,"UGA","SSF","Uganda","LIC",1972.3017580000001,74.5,0.8,0.6,10.6,6,7.6,null,null,null,null,null,null,null,null,35093648,null,null,25000,null,null,null,7045049.8360000001,null,null,null,null,null,null,null,37.5,null,null,null,null,null,null,null,null,null,87,null,6,7]
[null,"UKR","ECS","Ukraine","LMC",11534.637699999999,37,5,4,22,25,7,null,null,null,"Yes","Yes","Yes","Yes",null,45004644,8600000,1400000,277000,448000000,587000,null,15242025,null,null,null,null,null,null,75.86,null,null,null,null,null,null,null,null,2.73,94.07,null,null,3.2,null,null,null,"Other"]
[null,"URY","LCN","Uruguay","HIC",20588.39258,53.5,3,5,7.5,20,11,null,null,null,"No","Yes","Yes","Yes",null,3431552,null,null,37000,null,null,null,1260139.5090000001,null,null,null,null,null,null,98,null,null,null,100,null,null,null,61.7,null,null,17.5,null,8,10.5,2.2999999999999998]
[null,"USA","NAC","United States","HIC",61498.371090000001,14.9,4.4000000000000004,9,3.2,26.6,12.9,9.5,6.2,13.3,"Yes","Yes","Yes","Yes","Yes",326687488,null,534000000,2440000,28800000,7600000000,2600000,265224528,null,null,null,null,null,null,100,null,null,null,null,null,null,null,null,12.8,52.6,null,null,34.6]
[null,"UZB","ECS","Uzbekistan","LMC",5164.2744140000004,40,3,2,17.5,17.5,2.5,1.5,4,null,"No","Yes","Yes","Yes",null,29774500,null,null,null,null,null,null,4000000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,60,null,null,null,40,null,"Disposal site"]
[null,"VCT","LCN","St. Vincent and the Grenadines","UMC",11971.99316,49.6,5.6,3.8,10.5,22.1,8.4,null,null,null,"Yes","Yes","Yes","No","Yes",109455,null,null,900,null,null,null,31561.349249999999,null,95.4,null,null,null,96.2,null,null,null,97.2,null,null,null,0.09,null,null,99.91,null,3.6]
[null,"VEN","LCN","Venezuela, RB","UMC",14269.67383,null,null,null,null,null,null,null,null,null,null,"No","Yes",null,null,29893080,null,null,232700,123157,null,null,9779093.1400000006,null,null,null,null,null,null,100]
[null,"VGB","LCN","British Virgin Islands","HIC",24215.882809999999,6.5,18.100000000000001,8.6,4.8,33.5,6.3,null,22.2,null,"Yes","Yes","Yes","Yes","Yes",20645,null,null,null,null,null,null,21099.19,null,null,null,null,null,null,97.2,null,null,null,null,null,null,null,null,80.3,null,null,null,null,null,19.7]
[null,"VIR","LCN","Virgin Islands (U.S.)","HIC",30436.564450000002,46,7,7,12,15,13,null,null,null,null,"Yes","Yes","Yes",null,105784,null,null,null,null,null,null,146500]
[null,"VNM","EAS","Vietnam","LMC",5089.4111329999996,61.9,2.1800000000000002,0.57999999999999996,15.18,5.2,12.15,0.6,3.74,null,"No","Yes","Yes","Yes",null,86932496,null,null,141000,2995153.5,9600000,200000,9570300,null,null,42.5,null,null,null,72,null,null,null,84,null,null,15,null,null,null,null,null,23,null,62]
[null,"VUT","EAS","Vanuatu","LMC",3061.7873540000001,73.400000000000006,5.4,3.8,5.7,4.05,6.45,1.2,null,null,null,"Yes","Yes","Yes",null,270402,null,null,300,null,null,139.1,70225.489000000001,null,null,null,null,null,null,12,null,null,null,50,null,null,null,null,null,null,11.3,null,37,null,51.7]
[null,"WSM","EAS","Samoa","UMC",6210.9833980000003,42.6,2.2000000000000002,8.8000000000000007,19.399999999999999,7.2,13,6.8,null,null,null,"Yes","Yes","Yes","MNRE publishes monthly environmental newsletters informing the public about solid waste activities and projects.",187665,null,null,500,null,null,36.14,27399.09,null,null,100,null,null,null,100,null,null,null,100,null,null,null,31,null,null,null,null,36,null,33]
[null,"XKX","ECS","Kosovo","LMC",9723.5615230000003,42,6,6,20,8,11,null,7,null,"Yes","Yes","Yes","Yes",null,1801800,3880,217241,23,495,null,834,319000,null,null,35,null,null,null,39,null,null,null,100,null,null,null,66.430000000000007,null,null,33.57]
[null,"YEM","MEA","Yemen, Rep.","LIC",8269.671875,65,1,6,6,7,10,1,3,1,"No","Yes","Yes","No",null,27584212,null,null,42000,21000,null,null,4836820,null,null,null,null,null,null,20,null,null,null,null,null,null,null,12,null,null,25,null,8,null,47,8,"Other"]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"IPCC Methane Correction Factor (MCF)"]
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Row],[Managed (without gas collection system)]:[Other productive use (e.g., compost)]]/WBwastedata[[#This Row],[Total relevant for Food Loss]]/100,IPCCMCF[]),\"\")","v":""},{"$f":"AVERAGEIFS(WBwastedata[Landfill CH4 Correction Factor (country-level)],WBwastedata[Region],WBwastedata[[#This Row],[Region]])","v":0.59960293186952629},{"$f":"IF(WBwastedata[[#This Row],[Landfill CH4 Correction Factor (country-level)]]=\"\",WBwastedata[[#This Row],[Landfill CH4 Correction Factor (regional)]],WBwastedata[[#This Row],[Landfill CH4 Correction Factor (country-level)]])","v":0.59960293186952629},0.56999999999999995,{"$f":"IFERROR(INDEX(Countries[Climate Zone],MATCH(WBwastedata[[#This Row],[IFC list]],Countries[Country],0)),\"\")","v":"Tropical, dry"},{"$f":"IFERROR(INDEX(CH4efficiency[CH4 collection efficiency (f)],MATCH(WBwastedata[[#This Row],[Climate Zone]],CH4efficiency[Climate zone],0)),\"\")","v":0.5}]
[null,"Zimbabwe",{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WBwastedata[[#This Row],[WB country name]],CountryMapping[WB Waste country],0))","v":"Zimbabwe"},{"$f":"INDEX(CountryMapping[Region],MATCH(WBwastedata[[#This Row],[WB country name]],CountryMapping[WB Waste country],0))","v":"Sub-Saharan Africa"},{"$f":"INDEX(WBwasteRawDB[#All],MATCH(WBwastedata[[#This Row],[WB country name]],WBwasteRawDB[[#All],[country_name]],0),MATCH(WBwastedata[[#Headers],[total_msw_total_msw_generated_tons_year]],WBwasteRawDB[#Headers],0))","v":1449752},{"$f":"INDEX(WBwasteRawDB[#All],MATCH(WBwastedata[[#This Row],[WB country name]],WBwasteRawDB[[#All],[country_name]],0),MATCH(WBwastedata[[#Headers],[composition_food_organic_waste_percent]],WBwasteRawDB[#Headers],0))","v":36},{"$f":"INDEX(WBwasteRawDB[#All],MATCH(WBwastedata[[#This Row],[WB country name]],WBwasteRawDB[[#All],[country_name]],0),MATCH(WBwastedata[[#Headers],[waste_treatment_controlled_landfill_percent]],WBwasteRawDB[#Headers],0))","v":0},{"$f":"INDEX(WBwasteRawDB[#All],MATCH(WBwastedata[[#This Row],[WB country name]],WBwasteRawDB[[#All],[country_name]],0),MATCH(WBwastedata[[#Headers],[waste_treatment_landfill_unspecified_percent]],WBwasteRawDB[#Headers],0))","v":0},{"$f":"INDEX(WBwasteRawDB[#All],MATCH(WBwastedata[[#This Row],[WB country name]],WBwasteRawDB[[#All],[country_name]],0),MATCH(WBwastedata[[#Headers],[waste_treatment_open_dump_percent]],WBwasteRawDB[#Headers],0))","v":0},{"$f":"INDEX(WBwasteRawDB[#All],MATCH(WBwastedata[[#This Row],[WB country name]],WBwasteRawDB[[#All],[country_name]],0),MATCH(WBwastedata[[#Headers],[waste_treatment_sanitary_landfill_landfill_gas_system_percent]],WBwasteRawDB[#Headers],0))","v":0},{"$f":"INDEX(WBwasteRawDB[#All],MATCH(WBwastedata[[#This Row],[WB country name]],WBwasteRawDB[[#All],[country_name]],0),MATCH(WBwastedata[[#Headers],[waste_treatment_compost_percent]],WBwasteRawDB[#Headers],0))","v":0},{"$f":"INDEX(WBwasteRawDB[#All],MATCH(WBwastedata[[#This Row],[WB country name]],WBwasteRawDB[[#All],[country_name]],0),MATCH(WBwastedata[[#Headers],[waste_treatment_incineration_percent]],WBwasteRawDB[#Headers],0))","v":0},{"$f":"INDEX(WBwasteRawDB[#All],MATCH(WBwastedata[[#This Row],[WB country name]],WBwasteRawDB[[#All],[country_name]],0),MATCH(WBwastedata[[#Headers],[waste_treatment_recycling_percent]],WBwasteRawDB[#Headers],0))","v":16},{"$f":"INDEX(WBwasteRawDB[#All],MATCH(WBwastedata[[#This Row],[WB country name]],WBwasteRawDB[[#All],[country_name]],0),MATCH(WBwastedata[[#Headers],[waste_treatment_unaccounted_for_percent]],WBwasteRawDB[#Headers],0))","v":84},{"$f":"INDEX(WBwasteRawDB[#All],MATCH(WBwastedata[[#This Row],[WB country name]],WBwasteRawDB[[#All],[country_name]],0),MATCH(WBwastedata[[#Headers],[waste_treatment_waterways_marine_percent]],WBwasteRawDB[#Headers],0))","v":0},{"$f":"INDEX(WBwasteRawDB[#All],MATCH(WBwastedata[[#This Row],[WB country name]],WBwasteRawDB[[#All],[country_name]],0),MATCH(WBwastedata[[#Headers],[waste_treatment_anaerobic_digestion_percent]],WBwasteRawDB[#Headers],0))","v":0},{"$f":"INDEX(WBwasteRawDB[#All],MATCH(WBwastedata[[#This Row],[WB country name]],WBwasteRawDB[[#All],[country_name]],0),MATCH(WBwastedata[[#Headers],[waste_treatment_other_percent]],WBwasteRawDB[#Headers],0))","v":0},{"$f":"WBwastedata[[#This Row],[total_msw_total_msw_generated_tons_year]]*WBwastedata[[#This Row],[composition_food_organic_waste_percent]]/100","v":521910.72},{"$f":"IF(SUM(WBwastedata[[#This Row],[waste_treatment_controlled_landfill_percent]:[waste_treatment_other_percent]])=0,\"No\",\"Yes\")","v":"Yes"},{"$f":"WBwastedata[[#This Row],[waste_treatment_controlled_landfill_percent]]+WBwastedata[[#This Row],[waste_treatment_sanitary_landfill_landfill_gas_system_percent]]","v":0},{"$f":"WBwastedata[[#This Row],[waste_treatment_anaerobic_digestion_percent]]","v":0},{"$f":"WBwastedata[[#This Row],[waste_treatment_open_dump_percent]]","v":0},{"$f":"WBwastedata[[#This Row],[waste_treatment_landfill_unspecified_percent]]","v":0},{"$f":"WBwastedata[[#This Row],[waste_treatment_other_percent]]+WBwastedata[[#This Row],[waste_treatment_unaccounted_for_percent]]","v":84},{"$f":"WBwastedata[[#This Row],[waste_treatment_compost_percent]]","v":0},{"$f":"+WBwastedata[[#This Row],[waste_treatment_waterways_marine_percent]]+WBwastedata[[#This Row],[waste_treatment_recycling_percent]]+WBwastedata[[#This Row],[waste_treatment_incineration_percent]]","v":16},{"$f":"SUM(WBwastedata[[#This Row],[Managed (without gas collection system)]:[Other productive use (e.g., compost)]])/100","v":0.84},{"$f":"IF(WBwastedata[[#This Row],[Country-level landfill data available]]=\"Yes\",SUMPRODUCT(WBwastedata[[#This Row],[Managed (without gas collection system)]:[Other productive use (e.g., compost)]]/WBwastedata[[#This Row],[Total relevant for Food Loss]]/100,IPCCMCF[]),\"\")","v":0.4},{"$f":"AVERAGEIFS(WBwastedata[Landfill CH4 Correction Factor (country-level)],WBwastedata[Region],WBwastedata[[#This Row],[Region]])","v":0.59960293186952629},{"$f":"IF(WBwastedata[[#This Row],[Landfill CH4 Correction Factor (country-level)]]=\"\",WBwastedata[[#This Row],[Landfill CH4 Correction Factor (regional)]],WBwastedata[[#This Row],[Landfill CH4 Correction Factor (country-level)]])","v":0.4},0.56999999999999995,{"$f":"IFERROR(INDEX(Countries[Climate Zone],MATCH(WBwastedata[[#This Row],[IFC list]],Countries[Country],0)),\"\")","v":"Tropical, dry"},{"$f":"IFERROR(INDEX(CH4efficiency[CH4 collection efficiency (f)],MATCH(WBwastedata[[#This Row],[Climate Zone]],CH4efficiency[Climate zone],0)),\"\")","v":0.5}]

{"sheet":"Sheet1","index":24,"n_rows":14,"n_cols":6,"rows_kept":14,"cut":false,"hidden":true,"merged":[]}
[]
[]
[null,"Food/Organic waste (%)","composition_food_organic_waste_percent",null,"Managed (without gas collection system)","[@[waste_treatment_controlled_landfill_percent]]+[@[waste_treatment_sanitary_landfill_landfill_gas_system_percent]]"]
[null,"Controlled Landfill (%)","waste_treatment_controlled_landfill_percent",null,"Managed (with gas collection system)","[@[waste_treatment_anaerobic_digestion_percent]]"]
[null,"Landfill unspecified (%)","waste_treatment_landfill_unspecified_percent",null,"Unmanaged deep (> 5m)","[@[waste_treatment_open_dump_percent]]"]
[null,"Open Dump (%)","waste_treatment_open_dump_percent",null,"Unmanaged shallow (< 5m)","[@[waste_treatment_landfill_unspecified_percent]]"]
[null,"Sanitary Landfill/ Gas System (%)","waste_treatment_sanitary_landfill_landfill_gas_system_percent",null,"Uncategorised","[@[waste_treatment_other_percent]]+[@[waste_treatment_unaccounted_for_percent]]"]
[null,"Compost (%)","waste_treatment_compost_percent",null,"Other productive use (e.g., compost)","[@[waste_treatment_compost_percent]]"]
[null,"Incineration (%)","waste_treatment_incineration_percent",null,"Not relevant","[@[waste_treatment_waterways_marine_percent]]+[@[waste_treatment_recycling_percent]]+[@[waste_treatment_incineration_percent]]"]
[null,"Recycling (%)","waste_treatment_recycling_percent"]
[null,"Unaccounted for (%)","waste_treatment_unaccounted_for_percent"]
[null,"Marine Waterways (%)","waste_treatment_waterways_marine_percent"]
[null,"Anaerobic Digestion (%)","waste_treatment_anaerobic_digestion_percent"]
[null,"Other (%)","waste_treatment_other_percent"]

{"sheet":"LF-destination","index":25,"n_rows":178,"n_cols":12,"rows_kept":178,"cut":false,"hidden":true,"merged":[]}
[]
[]
[null,"Landfill destination by country"]
[]
[]
[]
[]
[null,"% of food losses going to landfill",0.56999999999999995,"Global average landfill rate from UN Stats"]
[]
[]
[null,null,"Managed (without gas collection system)","Managed (with gas collection system)","Unmanaged deep (> 5m)","Unmanaged shallow (< 5m)","Uncategorised","Other productive use (compost, gas collection system, etc.)"]
[null,"IPCC Methane Correction Factor (MCF)",1,0,0.8,0.4,0.4,0]
[null,"https://www.ipcc.ch/site/assets/uploads/2018/03/5_Waste-1.pdf"]
[]
[null,"Regional averages"]
[null,"Region","Managed (without gas collection system)","Managed (with gas collection system)","Unmanaged deep (> 5m)","Unmanaged shallow (< 5m)","Uncategorised","Other productive use (e.g., compost)"]
[null,"Sub-Saharan Africa",{"$f":"AVERAGEIFS(WBwastedata[Managed (without gas collection system)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":9.6541666666666665E-2},{"$f":"AVERAGEIFS(WBwastedata[Managed (with gas collection system)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":0},{"$f":"AVERAGEIFS(WBwastedata[Unmanaged deep (> 5m)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":0.33029166666666671},{"$f":"AVERAGEIFS(WBwastedata[Unmanaged shallow (< 5m)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":5.7916666666666672E-2},{"$f":"AVERAGEIFS(WBwastedata[Uncategorised],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":0.44483333333333341},{"$f":"AVERAGEIFS(WBwastedata[Other productive use (e.g., compost)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":5.9583333333333328E-3}]
[null,"East Asia and Pacific",{"$f":"AVERAGEIFS(WBwastedata[Managed (without gas collection system)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":{"$error":"#DIV/0!"}},{"$f":"AVERAGEIFS(WBwastedata[Managed (with gas collection system)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":{"$error":"#DIV/0!"}},{"$f":"AVERAGEIFS(WBwastedata[Unmanaged deep (> 5m)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":{"$error":"#DIV/0!"}},{"$f":"AVERAGEIFS(WBwastedata[Unmanaged shallow (< 5m)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":{"$error":"#DIV/0!"}},{"$f":"AVERAGEIFS(WBwastedata[Uncategorised],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":{"$error":"#DIV/0!"}},{"$f":"AVERAGEIFS(WBwastedata[Other productive use (e.g., compost)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":{"$error":"#DIV/0!"}}]
[null,"Europe and Central Asia",{"$f":"AVERAGEIFS(WBwastedata[Managed (without gas collection system)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":{"$error":"#DIV/0!"}},{"$f":"AVERAGEIFS(WBwastedata[Managed (with gas collection system)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":{"$error":"#DIV/0!"}},{"$f":"AVERAGEIFS(WBwastedata[Unmanaged deep (> 5m)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":{"$error":"#DIV/0!"}},{"$f":"AVERAGEIFS(WBwastedata[Unmanaged shallow (< 5m)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":{"$error":"#DIV/0!"}},{"$f":"AVERAGEIFS(WBwastedata[Uncategorised],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":{"$error":"#DIV/0!"}},{"$f":"AVERAGEIFS(WBwastedata[Other productive use (e.g., compost)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":{"$error":"#DIV/0!"}}]
[null,"Latin America and Caribbean",{"$f":"AVERAGEIFS(WBwastedata[Managed (without gas collection system)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":{"$error":"#DIV/0!"}},{"$f":"AVERAGEIFS(WBwastedata[Managed (with gas collection system)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":{"$error":"#DIV/0!"}},{"$f":"AVERAGEIFS(WBwastedata[Unmanaged deep (> 5m)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":{"$error":"#DIV/0!"}},{"$f":"AVERAGEIFS(WBwastedata[Unmanaged shallow (< 5m)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":{"$error":"#DIV/0!"}},{"$f":"AVERAGEIFS(WBwastedata[Uncategorised],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":{"$error":"#DIV/0!"}},{"$f":"AVERAGEIFS(WBwastedata[Other productive use (e.g., compost)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":{"$error":"#DIV/0!"}}]
[null,"Middle East and North Africa",{"$f":"AVERAGEIFS(WBwastedata[Managed (without gas collection system)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":{"$error":"#DIV/0!"}},{"$f":"AVERAGEIFS(WBwastedata[Managed (with gas collection system)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":{"$error":"#DIV/0!"}},{"$f":"AVERAGEIFS(WBwastedata[Unmanaged deep (> 5m)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":{"$error":"#DIV/0!"}},{"$f":"AVERAGEIFS(WBwastedata[Unmanaged shallow (< 5m)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":{"$error":"#DIV/0!"}},{"$f":"AVERAGEIFS(WBwastedata[Uncategorised],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":{"$error":"#DIV/0!"}},{"$f":"AVERAGEIFS(WBwastedata[Other productive use (e.g., compost)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":{"$error":"#DIV/0!"}}]
[null,"South Asia",{"$f":"AVERAGEIFS(WBwastedata[Managed (without gas collection system)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":0.14000000000000001},{"$f":"AVERAGEIFS(WBwastedata[Managed (with gas collection system)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":0},{"$f":"AVERAGEIFS(WBwastedata[Unmanaged deep (> 5m)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":0.30285714285714282},{"$f":"AVERAGEIFS(WBwastedata[Unmanaged shallow (< 5m)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":0.11},{"$f":"AVERAGEIFS(WBwastedata[Uncategorised],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":0.25554285714285713},{"$f":"AVERAGEIFS(WBwastedata[Other productive use (e.g., compost)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":5.9299999999999999E-2}]
[null,"North America",{"$f":"AVERAGEIFS(WBwastedata[Managed (without gas collection system)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":4.0666666666666663E-2},{"$f":"AVERAGEIFS(WBwastedata[Managed (with gas collection system)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":0},{"$f":"AVERAGEIFS(WBwastedata[Unmanaged deep (> 5m)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":0},{"$f":"AVERAGEIFS(WBwastedata[Unmanaged shallow (< 5m)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":0.41643333333333338},{"$f":"AVERAGEIFS(WBwastedata[Uncategorised],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":0},{"$f":"AVERAGEIFS(WBwastedata[Other productive use (e.g., compost)],WBwastedata[Region],LandfillRegAvg[[#This Row],[Region]],WBwastedata[Country-level landfill data available],\"Yes\")/100","v":7.4600000000000014E-2}]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[null,"Data Available (Yes/No)","Yes"]
[]
[null,"Row Labels","Average of Managed (without gas collection system)","Average of Managed (with gas collection system)","Average of Unmanaged deep (> 5m)","Average of Unmanaged shallow (< 5m)","Average of Uncategorised","Average of Other productive use (compost, gas collection system, etc.)","Landfill CH4 Correction Factor"]
[null,"Africa",0.11975808945984934,null,0,0.33991571624296335,0.53381267217630857,6.5135221208788363E-3,{"$f":"SUMPRODUCT(C45:H45,$C$12:$H$12)","v":0.46924944482755815}]
[null,"East Asia and Pacific",9.2069592988710647E-2,null,0,0.1669869096757236,0.72119843395306449,1.9745063382501302E-2,{"$f":"SUMPRODUCT(C46:H46,$C$12:$H$12)","v":0.44734373044022591}]
[null,"Europe and Central Asia",0.12381473843153426,null,0,0.58236872852072452,0.29238796161916969,1.4285714285714286E-3,0.47371741448749194]
[null,"Latin America and Caribbean",0.59836755752378601,null,0,0.23586482833734748,0.16498130735017064,7.8630678869579689E-4,0.75870601179879327]
[null,"Middle East and North Africa",0.21335403726708074,null,0,0.51573498964803322,0.21749482401656314,5.3416149068322982E-2,0.50664596273291929]
[null,"South Asia",0.14085924137237146,null,0,0.25071010860484544,0.52757050691244234,8.086014311034069E-2,0.4521714875792866]
[null,"Grand Total",0.28128745128824495,null,0,0.2938762074912038,0.40937808595448205,1.5458255266069363E-2,0.56258916866651931]
[]
[null,"Row Labels","Average of Managed (without gas collection system)","Average of Managed (with gas collection system)","Average of Unmanaged deep (> 5m)","Average of Unmanaged shallow (< 5m)","Average of Uncategorised","Average of Other productive use (compost, gas collection system, etc.)","Landfill CH4 Correction Factor"]
[null,"Africa",0.11975808945984934,null,0,0.33991571624296335,0.53381267217630857,6.5135221208788363E-3,0.46924944482755815]
[null,"East Asia and Pacific",9.2069592988710647E-2,null,0,0.1669869096757236,0.72119843395306449,1.9745063382501302E-2,0.44734373044022591]
[null,"Europe and Central Asia",0.12381473843153426,null,0,0.58236872852072452,0.29238796161916969,1.4285714285714286E-3,0.47371741448749194]
[null,"Latin America and Caribbean",0.59836755752378601,null,0,0.23586482833734748,0.16498130735017064,7.8630678869579689E-4,0.75870601179879327]
[null,"Middle East and North Africa",0.21335403726708074,null,0,0.51573498964803322,0.21749482401656314,5.3416149068322982E-2,0.50664596273291929]
[null,"South Asia",0.14085924137237146,null,0,0.25071010860484544,0.52757050691244234,8.086014311034069E-2,0.4521714875792866]
[null,"Grand Total",0.28128745128824495,null,0,0.2938762074912038,0.40937808595448205,1.5458255266069363E-2,0.56258916866651931]
[]
[null,"% of solid waste by destination"]
[null,"Region","Country","Data Available (Yes/No)","Managed (without gas collection system)","Managed (with gas collection system)","Unmanaged deep (> 5m)","Unmanaged shallow (< 5m)","Uncategorised","Other productive use (e.g., compost)","Landfill rate","Landfill CH4 Correction Factor"]
[null,{"$f":"'LF-db'!AI11","v":"Africa"},{"$f":"'LF-db'!AJ11","v":"Angola"},"No",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C64,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C64,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B64,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":{"$error":"#N/A"}},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!D64,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C64,Table180[Country],0)),INDEX(C$44:I$50,MATCH($B64,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0.46924944482755815},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E64,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C64,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B64,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F64,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C64,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B64,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G64,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C64,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B64,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C64,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C64,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B64,$B$45:$B$50,0)))","v":6.5135221208788363E-3},{"$f":"$C$8","v":0.56999999999999995},0.8]
[null,{"$f":"'LF-db'!AI12","v":"Latin America and Caribbean"},{"$f":"'LF-db'!AJ12","v":"Argentina"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C65,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C65,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B65,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0.75957446808510642},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E65,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C65,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B65,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F65,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C65,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B65,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G65,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C65,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B65,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C65,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C65,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B65,$B$45:$B$50,0)))","v":0},0.56999999999999995,{"$f":"SUMPRODUCT(E65:J65,$C$12:$H$12)","v":0.75957446808510642}]
[null,{"$f":"'LF-db'!AI13","v":"Latin America and Caribbean"},{"$f":"'LF-db'!AJ13","v":"Antigua and Barbuda"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C66,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C66,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B66,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0.98778778778778775},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E66,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C66,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B66,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F66,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C66,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B66,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G66,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C66,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B66,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C66,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C66,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B66,$B$45:$B$50,0)))","v":8.0080080080080073E-4},0.56999999999999995,{"$f":"SUMPRODUCT(E66:J66,$C$12:$H$12)","v":0.98778778778778775}]
[null,{"$f":"'LF-db'!AI14","v":"Africa"},{"$f":"'LF-db'!AJ14","v":"Burundi"},"No",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C67,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C67,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B67,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":{"$error":"#N/A"}},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E67,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C67,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B67,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F67,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C67,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B67,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G67,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C67,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B67,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C67,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C67,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B67,$B$45:$B$50,0)))","v":6.5135221208788363E-3},0.56999999999999995,{"$error":"#N/A"}]
[null,{"$f":"'LF-db'!AI15","v":"Africa"},{"$f":"'LF-db'!AJ15","v":"Benin"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C68,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C68,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B68,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E68,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C68,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B68,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F68,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C68,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B68,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G68,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C68,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B68,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C68,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C68,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B68,$B$45:$B$50,0)))","v":0},0.56999999999999995,0]
[null,{"$f":"'LF-db'!AI16","v":"Africa"},{"$f":"'LF-db'!AJ16","v":"Burkina Faso"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C69,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C69,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B69,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E69,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C69,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B69,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F69,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C69,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B69,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G69,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C69,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B69,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C69,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C69,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B69,$B$45:$B$50,0)))","v":0},0.56999999999999995,0]
[null,{"$f":"'LF-db'!AI17","v":"South Asia"},{"$f":"'LF-db'!AJ17","v":"Bangladesh"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C70,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C70,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B70,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E70,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C70,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B70,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F70,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C70,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B70,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G70,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C70,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B70,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C70,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C70,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B70,$B$45:$B$50,0)))","v":5.2499999999999998E-2},0.56999999999999995,0]
[null,{"$f":"'LF-db'!AI18","v":"Latin America and Caribbean"},{"$f":"'LF-db'!AJ18","v":"Bahamas"},"No",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C71,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C71,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B71,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":{"$error":"#N/A"}},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E71,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C71,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B71,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F71,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C71,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B71,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G71,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C71,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B71,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C71,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C71,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B71,$B$45:$B$50,0)))","v":7.8630678869579689E-4},0.56999999999999995,{"$error":"#N/A"}]
[null,{"$f":"'LF-db'!AI19","v":"Europe and Central Asia"},{"$f":"'LF-db'!AJ19","v":"Bosnia and Herzegovina"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C72,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C72,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B72,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0.32670316902073981},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E72,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C72,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B72,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F72,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C72,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B72,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G72,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C72,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B72,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C72,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C72,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B72,$B$45:$B$50,0)))","v":0},0.56999999999999995,0.32670316902073981]
[null,{"$f":"'LF-db'!AI20","v":"Latin America and Caribbean"},{"$f":"'LF-db'!AJ20","v":"Belize"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C73,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C73,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B73,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0.34},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E73,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C73,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B73,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F73,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C73,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B73,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G73,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C73,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B73,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C73,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C73,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B73,$B$45:$B$50,0)))","v":0},0.56999999999999995,0.34]
[null,{"$f":"'LF-db'!AI21","v":"Latin America and Caribbean"},{"$f":"'LF-db'!AJ21","v":"Bolivia (Plurinational State of)"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C74,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C74,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B74,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0.36375014222323349},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E74,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C74,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B74,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F74,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C74,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B74,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G74,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C74,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B74,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C74,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C74,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B74,$B$45:$B$50,0)))","v":4.5511434747980426E-3},0.56999999999999995,0.36375014222323349]
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[null,{"$f":"'LF-db'!AI29","v":"Africa"},{"$f":"'LF-db'!AJ29","v":"Cote d'Ivoire"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C82,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C82,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B82,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E82,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C82,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B82,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F82,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C82,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B82,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G82,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C82,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B82,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C82,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C82,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B82,$B$45:$B$50,0)))","v":0},0.56999999999999995,0]
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[null,{"$f":"'LF-db'!AI35","v":"Africa"},{"$f":"'LF-db'!AJ35","v":"Cabo Verde"},"No",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C88,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C88,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B88,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":{"$error":"#N/A"}},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E88,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C88,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B88,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F88,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C88,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B88,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G88,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C88,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B88,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C88,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C88,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B88,$B$45:$B$50,0)))","v":6.5135221208788363E-3},0.56999999999999995,{"$error":"#N/A"}]
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[null,{"$f":"'LF-db'!AI38","v":"Latin America and Caribbean"},{"$f":"'LF-db'!AJ38","v":"Dominican Republic"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C91,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C91,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B91,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":1.0893246187363846E-3},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E91,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C91,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B91,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F91,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C91,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B91,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G91,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C91,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B91,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C91,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C91,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B91,$B$45:$B$50,0)))","v":0},0.56999999999999995,1.0893246187363846E-3]
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[null,{"$f":"'LF-db'!AI43","v":"East Asia and Pacific"},{"$f":"'LF-db'!AJ43","v":"Fiji"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C96,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C96,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B96,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E96,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C96,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B96,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F96,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C96,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B96,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G96,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C96,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B96,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C96,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C96,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B96,$B$45:$B$50,0)))","v":0},{"$f":"$C$8","v":0.56999999999999995},{"$f":"SUMPRODUCT(E96:J96,$C$12:$H$12)","v":0}]
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[null,{"$f":"'LF-db'!AI47","v":"Latin America and Caribbean"},{"$f":"'LF-db'!AJ47","v":"Guinea"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C100,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C100,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B100,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E100,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C100,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B100,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F100,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C100,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B100,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G100,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C100,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B100,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C100,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C100,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B100,$B$45:$B$50,0)))","v":0},0.56999999999999995,0]
[null,{"$f":"'LF-db'!AI48","v":"Africa"},{"$f":"'LF-db'!AJ48","v":"Gambia"},"No",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C101,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C101,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B101,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":{"$error":"#N/A"}},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E101,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C101,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B101,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F101,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C101,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B101,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G101,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C101,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B101,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C101,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C101,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B101,$B$45:$B$50,0)))","v":6.5135221208788363E-3},0.56999999999999995,{"$error":"#N/A"}]
[null,{"$f":"'LF-db'!AI49","v":"Latin America and Caribbean"},{"$f":"'LF-db'!AJ49","v":"Guinea-Bissau"},"No",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C102,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C102,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B102,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":{"$error":"#N/A"}},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E102,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C102,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B102,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F102,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C102,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B102,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G102,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C102,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B102,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C102,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C102,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B102,$B$45:$B$50,0)))","v":7.8630678869579689E-4},0.56999999999999995,{"$error":"#N/A"}]
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[null,{"$f":"'LF-db'!AI52","v":"Latin America and Caribbean"},{"$f":"'LF-db'!AJ52","v":"Guatemala"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C105,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C105,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B105,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0.25},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E105,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C105,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B105,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F105,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C105,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B105,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G105,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C105,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B105,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C105,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C105,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B105,$B$45:$B$50,0)))","v":0},0.56999999999999995,0.25]
[null,{"$f":"'LF-db'!AI53","v":"Latin America and Caribbean"},{"$f":"'LF-db'!AJ53","v":"Guyana"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C106,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C106,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B106,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E106,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C106,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B106,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F106,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C106,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B106,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G106,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C106,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B106,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C106,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C106,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B106,$B$45:$B$50,0)))","v":0},0.56999999999999995,0]
[null,{"$f":"'LF-db'!AI54","v":"Latin America and Caribbean"},{"$f":"'LF-db'!AJ54","v":"Honduras"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C107,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C107,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B107,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0.71200000000000008},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E107,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C107,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B107,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F107,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C107,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B107,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G107,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C107,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B107,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C107,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C107,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B107,$B$45:$B$50,0)))","v":0},0.56999999999999995,0.71200000000000008]
[null,{"$f":"'LF-db'!AI55","v":"Latin America and Caribbean"},{"$f":"'LF-db'!AJ55","v":"Haiti"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C108,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C108,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B108,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":9.9399999999999988E-2},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E108,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C108,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B108,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F108,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C108,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B108,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G108,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C108,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B108,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C108,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C108,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B108,$B$45:$B$50,0)))","v":0},0.56999999999999995,9.9399999999999988E-2]
[null,{"$f":"'LF-db'!AI56","v":"East Asia and Pacific"},{"$f":"'LF-db'!AJ56","v":"Indonesia"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C109,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C109,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B109,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E109,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C109,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B109,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F109,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C109,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B109,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G109,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C109,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B109,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C109,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C109,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B109,$B$45:$B$50,0)))","v":0},0.56999999999999995,0]
[null,{"$f":"'LF-db'!AI57","v":"South Asia"},{"$f":"'LF-db'!AJ57","v":"India"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C110,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C110,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B110,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E110,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C110,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B110,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F110,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C110,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B110,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G110,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C110,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B110,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C110,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C110,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B110,$B$45:$B$50,0)))","v":0.18947368421052632},0.56999999999999995,0]
[null,{"$f":"'LF-db'!AI58","v":"Latin America and Caribbean"},{"$f":"'LF-db'!AJ58","v":"Jamaica"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C111,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C111,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B111,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0.64},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E111,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C111,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B111,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F111,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C111,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B111,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G111,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C111,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B111,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C111,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C111,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B111,$B$45:$B$50,0)))","v":0},0.56999999999999995,0.64]
[null,{"$f":"'LF-db'!AI59","v":"Europe and Central Asia"},{"$f":"'LF-db'!AJ59","v":"Kazakhstan"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C112,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C112,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B112,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E112,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C112,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B112,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F112,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C112,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B112,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G112,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C112,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B112,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C112,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C112,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B112,$B$45:$B$50,0)))","v":0},0.56999999999999995,0]
[null,{"$f":"'LF-db'!AI60","v":"Africa"},{"$f":"'LF-db'!AJ60","v":"Kenya"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C113,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C113,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B113,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E113,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C113,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B113,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F113,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C113,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B113,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G113,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C113,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B113,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C113,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C113,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B113,$B$45:$B$50,0)))","v":0},0.56999999999999995,0]
[null,{"$f":"'LF-db'!AI61","v":"Europe and Central Asia"},{"$f":"'LF-db'!AJ61","v":"Kyrgyzstan"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C114,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C114,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B114,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E114,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C114,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B114,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F114,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C114,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B114,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G114,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C114,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B114,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C114,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C114,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B114,$B$45:$B$50,0)))","v":0},0.56999999999999995,0]
[null,{"$f":"'LF-db'!AI62","v":"East Asia and Pacific"},{"$f":"'LF-db'!AJ62","v":"Cambodia"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C115,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C115,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B115,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E115,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C115,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B115,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F115,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C115,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B115,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G115,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C115,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B115,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C115,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C115,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B115,$B$45:$B$50,0)))","v":0},0.56999999999999995,0]
[null,{"$f":"'LF-db'!AI63","v":"East Asia and Pacific"},{"$f":"'LF-db'!AJ63","v":"Kiribati"},"No",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C116,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C116,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B116,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":{"$error":"#N/A"}},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E116,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C116,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B116,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F116,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C116,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B116,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G116,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C116,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B116,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C116,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C116,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B116,$B$45:$B$50,0)))","v":1.9745063382501302E-2},0.56999999999999995,{"$error":"#N/A"}]
[null,{"$f":"'LF-db'!AI64","v":"Latin America and Caribbean"},{"$f":"'LF-db'!AJ64","v":"Saint Kitts and Nevis"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C117,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C117,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B117,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":1},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E117,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C117,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B117,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F117,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C117,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B117,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G117,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C117,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B117,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C117,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C117,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B117,$B$45:$B$50,0)))","v":0},0.56999999999999995,1]
[null,{"$f":"'LF-db'!AI65","v":"East Asia and Pacific"},{"$f":"'LF-db'!AJ65","v":"Lao People's Democratic Republic"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C118,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C118,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B118,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0.33333333333333331},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E118,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C118,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B118,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F118,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C118,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B118,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G118,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C118,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B118,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C118,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C118,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B118,$B$45:$B$50,0)))","v":0},0.56999999999999995,0.33333333333333331]
[null,{"$f":"'LF-db'!AI66","v":"Middle East and North Africa"},{"$f":"'LF-db'!AJ66","v":"Lebanon"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C119,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C119,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B119,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0.52173913043478259},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E119,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C119,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B119,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F119,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C119,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B119,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G119,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C119,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B119,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C119,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C119,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B119,$B$45:$B$50,0)))","v":0.16304347826086957},0.56999999999999995,0.52173913043478259]
[null,{"$f":"'LF-db'!AI67","v":"Africa"},{"$f":"'LF-db'!AJ67","v":"Liberia"},"No",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C120,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C120,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B120,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":{"$error":"#N/A"}},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E120,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C120,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B120,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F120,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C120,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B120,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G120,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C120,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B120,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C120,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C120,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B120,$B$45:$B$50,0)))","v":6.5135221208788363E-3},0.56999999999999995,{"$error":"#N/A"}]
[null,{"$f":"'LF-db'!AI68","v":"Latin America and Caribbean"},{"$f":"'LF-db'!AJ68","v":"Saint Lucia"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C121,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C121,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B121,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0.96800000000000008},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E121,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C121,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B121,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F121,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C121,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B121,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G121,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C121,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B121,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C121,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C121,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B121,$B$45:$B$50,0)))","v":1.0000000000000002E-3},0.56999999999999995,0.96800000000000008]
[null,{"$f":"'LF-db'!AI69","v":"South Asia"},{"$f":"'LF-db'!AJ69","v":"Sri Lanka"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C122,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C122,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B122,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E122,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C122,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B122,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F122,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C122,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B122,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G122,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C122,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B122,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C122,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C122,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B122,$B$45:$B$50,0)))","v":5.5555555555555552E-2},0.56999999999999995,0]
[null,{"$f":"'LF-db'!AI70","v":"Africa"},{"$f":"'LF-db'!AJ70","v":"Lesotho"},"No",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C123,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C123,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B123,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":{"$error":"#N/A"}},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E123,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C123,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B123,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F123,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C123,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B123,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G123,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C123,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B123,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C123,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C123,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B123,$B$45:$B$50,0)))","v":6.5135221208788363E-3},0.56999999999999995,{"$error":"#N/A"}]
[null,{"$f":"'LF-db'!AI71","v":"Middle East and North Africa"},{"$f":"'LF-db'!AJ71","v":"Morocco"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C124,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C124,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B124,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0.40217391304347827},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E124,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C124,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B124,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F124,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C124,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B124,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G124,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C124,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B124,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C124,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C124,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B124,$B$45:$B$50,0)))","v":1.0869565217391304E-2},0.56999999999999995,0.40217391304347827]
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[null,{"$f":"'LF-db'!AI77","v":"South Asia"},{"$f":"'LF-db'!AJ77","v":"Myanmar"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C130,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C130,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B130,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E130,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C130,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B130,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F130,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C130,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B130,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G130,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C130,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B130,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C130,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C130,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B130,$B$45:$B$50,0)))","v":0},0.56999999999999995,0]
[null,{"$f":"'LF-db'!AI78","v":"East Asia and Pacific"},{"$f":"'LF-db'!AJ78","v":"Mongolia"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C131,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C131,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B131,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E131,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C131,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B131,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F131,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C131,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B131,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G131,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C131,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B131,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C131,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C131,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B131,$B$45:$B$50,0)))","v":0},0.56999999999999995,0]
[null,{"$f":"'LF-db'!AI79","v":"Africa"},{"$f":"'LF-db'!AJ79","v":"Mozambique"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C132,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C132,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B132,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E132,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C132,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B132,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F132,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C132,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B132,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G132,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C132,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B132,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C132,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C132,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B132,$B$45:$B$50,0)))","v":0},0.56999999999999995,0]
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[null,{"$f":"'LF-db'!AI84","v":"Africa"},{"$f":"'LF-db'!AJ84","v":"Namibia"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C137,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C137,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B137,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E137,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C137,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B137,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F137,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C137,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B137,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G137,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C137,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B137,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C137,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C137,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B137,$B$45:$B$50,0)))","v":0},0.56999999999999995,0]
[null,{"$f":"'LF-db'!AI85","v":"Africa"},{"$f":"'LF-db'!AJ85","v":"Niger"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C138,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C138,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B138,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E138,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C138,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B138,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F138,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C138,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B138,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G138,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C138,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B138,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C138,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C138,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B138,$B$45:$B$50,0)))","v":0},0.56999999999999995,0]
[null,{"$f":"'LF-db'!AI86","v":"Africa"},{"$f":"'LF-db'!AJ86","v":"Nigeria"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C139,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C139,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B139,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E139,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C139,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B139,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F139,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C139,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B139,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G139,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C139,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B139,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C139,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C139,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B139,$B$45:$B$50,0)))","v":0},0.56999999999999995,0]
[null,{"$f":"'LF-db'!AI87","v":"Latin America and Caribbean"},{"$f":"'LF-db'!AJ87","v":"Nicaragua"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C140,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C140,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B140,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E140,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C140,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B140,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F140,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C140,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B140,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G140,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C140,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B140,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C140,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C140,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B140,$B$45:$B$50,0)))","v":0},0.56999999999999995,0]
[null,{"$f":"'LF-db'!AI88","v":"South Asia"},{"$f":"'LF-db'!AJ88","v":"Nepal"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C141,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C141,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B141,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E141,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C141,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B141,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F141,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C141,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B141,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G141,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C141,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B141,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C141,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C141,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B141,$B$45:$B$50,0)))","v":2.87E-2},0.56999999999999995,0]
[null,{"$f":"'LF-db'!AI89","v":"Middle East and North Africa"},{"$f":"'LF-db'!AJ89","v":"Pakistan"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C142,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C142,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B142,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E142,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C142,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B142,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F142,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C142,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B142,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G142,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C142,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B142,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C142,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C142,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B142,$B$45:$B$50,0)))","v":2.1739130434782608E-2},0.56999999999999995,0]
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[null,{"$f":"'LF-db'!AI96","v":"Africa"},{"$f":"'LF-db'!AJ96","v":"Sudan"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C149,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C149,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B149,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E149,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C149,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B149,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F149,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C149,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B149,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G149,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C149,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B149,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C149,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C149,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B149,$B$45:$B$50,0)))","v":0},0.56999999999999995,0]
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[null,{"$f":"'LF-db'!AI98","v":"East Asia and Pacific"},{"$f":"'LF-db'!AJ98","v":"Solomon Islands"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C151,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C151,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B151,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E151,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C151,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B151,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F151,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C151,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B151,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G151,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C151,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B151,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C151,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C151,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B151,$B$45:$B$50,0)))","v":0},0.56999999999999995,0]
[null,{"$f":"'LF-db'!AI99","v":"Africa"},{"$f":"'LF-db'!AJ99","v":"Sierra Leone"},"No",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C152,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C152,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B152,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":{"$error":"#N/A"}},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E152,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C152,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B152,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F152,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C152,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B152,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G152,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C152,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B152,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C152,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C152,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B152,$B$45:$B$50,0)))","v":6.5135221208788363E-3},0.56999999999999995,{"$error":"#N/A"}]
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[null,{"$f":"'LF-db'!AI108","v":"Europe and Central Asia"},{"$f":"'LF-db'!AJ108","v":"Tajikistan"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C161,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C161,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B161,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E161,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C161,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B161,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F161,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C161,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B161,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G161,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C161,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B161,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C161,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C161,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B161,$B$45:$B$50,0)))","v":0},0.56999999999999995,0]
[null,{"$f":"'LF-db'!AI109","v":"East Asia and Pacific"},{"$f":"'LF-db'!AJ109","v":"Timor-Leste"},"No",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C162,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C162,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B162,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":{"$error":"#N/A"}},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E162,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C162,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B162,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F162,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C162,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B162,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G162,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C162,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B162,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C162,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C162,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B162,$B$45:$B$50,0)))","v":1.9745063382501302E-2},0.56999999999999995,{"$error":"#N/A"}]
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[null,{"$f":"'LF-db'!AI113","v":"East Asia and Pacific"},{"$f":"'LF-db'!AJ113","v":"Tuvalu"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C166,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C166,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B166,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E166,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C166,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B166,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F166,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C166,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B166,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G166,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C166,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B166,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C166,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C166,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B166,$B$45:$B$50,0)))","v":0},0.56999999999999995,0]
[null,{"$f":"'LF-db'!AI114","v":"Africa"},{"$f":"'LF-db'!AJ114","v":"Uganda"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C167,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C167,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B167,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":7.4468085106382975E-2},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E167,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C167,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B167,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F167,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C167,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B167,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G167,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C167,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B167,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C167,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C167,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B167,$B$45:$B$50,0)))","v":0},0.56999999999999995,7.4468085106382975E-2]
[null,{"$f":"'LF-db'!AI115","v":"Europe and Central Asia"},{"$f":"'LF-db'!AJ115","v":"Ukraine"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C168,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C168,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B168,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E168,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C168,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B168,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F168,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C168,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B168,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G168,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C168,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B168,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C168,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C168,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B168,$B$45:$B$50,0)))","v":0},0.56999999999999995,0]
[null,{"$f":"'LF-db'!AI116","v":"Latin America and Caribbean"},{"$f":"'LF-db'!AJ116","v":"Uruguay"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C169,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C169,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B169,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0.7847826086956522},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E169,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C169,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B169,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F169,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C169,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B169,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G169,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C169,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B169,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C169,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C169,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B169,$B$45:$B$50,0)))","v":0},0.56999999999999995,0.7847826086956522]
[null,{"$f":"'LF-db'!AI117","v":"Europe and Central Asia"},{"$f":"'LF-db'!AJ117","v":"Uzbekistan"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C170,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C170,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B170,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E170,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C170,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B170,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F170,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C170,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B170,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G170,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C170,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B170,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C170,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C170,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B170,$B$45:$B$50,0)))","v":0},0.56999999999999995,0]
[null,{"$f":"'LF-db'!AI118","v":"Latin America and Caribbean"},{"$f":"'LF-db'!AJ118","v":"Venezuela (Bolivarian Republic of)"},"No",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C171,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C171,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B171,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":{"$error":"#N/A"}},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E171,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C171,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B171,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F171,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C171,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B171,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G171,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C171,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B171,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C171,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C171,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B171,$B$45:$B$50,0)))","v":7.8630678869579689E-4},0.56999999999999995,{"$error":"#N/A"}]
[null,{"$f":"'LF-db'!AI119","v":"East Asia and Pacific"},{"$f":"'LF-db'!AJ119","v":"Viet Nam"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C172,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C172,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B172,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E172,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C172,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B172,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F172,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C172,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B172,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G172,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C172,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B172,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C172,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C172,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B172,$B$45:$B$50,0)))","v":0.19480519480519481},0.56999999999999995,0]
[null,{"$f":"'LF-db'!AI120","v":"East Asia and Pacific"},{"$f":"'LF-db'!AJ120","v":"Vanuatu"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C173,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C173,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B173,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E173,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C173,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B173,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F173,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C173,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B173,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G173,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C173,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B173,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C173,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C173,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B173,$B$45:$B$50,0)))","v":0},0.56999999999999995,0]
[null,{"$f":"'LF-db'!AI121","v":"East Asia and Pacific"},{"$f":"'LF-db'!AJ121","v":"Samoa"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C174,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C174,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B174,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0.484375},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E174,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C174,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B174,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F174,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C174,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B174,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G174,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C174,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B174,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C174,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C174,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B174,$B$45:$B$50,0)))","v":0},0.56999999999999995,0.484375]
[null,{"$f":"'LF-db'!AI122","v":"Middle East and North Africa"},{"$f":"'LF-db'!AJ122","v":"Yemen"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C175,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C175,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B175,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0.14285714285714285},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E175,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C175,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B175,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F175,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C175,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B175,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G175,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C175,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B175,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C175,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C175,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B175,$B$45:$B$50,0)))","v":0},0.56999999999999995,0.14285714285714285]
[null,{"$f":"'LF-db'!AI123","v":"Africa"},{"$f":"'LF-db'!AJ123","v":"South Africa"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C176,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C176,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B176,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":1},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E176,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C176,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B176,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F176,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C176,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B176,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G176,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C176,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B176,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C176,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C176,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B176,$B$45:$B$50,0)))","v":0},0.56999999999999995,1]
[null,{"$f":"'LF-db'!AI124","v":"Africa"},{"$f":"'LF-db'!AJ124","v":"Zambia"},"No",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C177,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C177,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B177,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":{"$error":"#N/A"}},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E177,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C177,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B177,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F177,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C177,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B177,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G177,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C177,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B177,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C177,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C177,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B177,$B$45:$B$50,0)))","v":6.5135221208788363E-3},0.56999999999999995,{"$error":"#N/A"}]
[null,{"$f":"'LF-db'!AI125","v":"Africa"},{"$f":"'LF-db'!AJ125","v":"Zimbabwe"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!C178,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C178,Table180[Country],0)),INDEX($B$44:$H$50,MATCH($B178,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!E178,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C178,Table180[Country],0)),INDEX(D$44:J$50,MATCH($B178,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!F178,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C178,Table180[Country],0)),INDEX(E$44:K$50,MATCH($B178,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF-destination'!G178,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!$C178,Table180[Country],0)),INDEX(F$44:L$50,MATCH($B178,$B$44:$B$50,0),MATCH(LandfillMethaneCorrectionFactors[[#Headers],[Managed (without gas collection system)]],$B$44:$H$44)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF-destination'!C178,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF-destination'!C178,Table180[Country],0)),INDEX(H$45:H$50,MATCH($B178,$B$45:$B$50,0)))","v":0},0.56999999999999995,0]

{"sheet":"Transport >>","index":26,"n_rows":8,"n_cols":2,"rows_kept":8,"cut":false,"hidden":true,"merged":[[4,1,4,15],[5,1,5,15],[6,1,6,15],[7,1,7,15]]}
[]
[null,"Transport"]
[null,"This section includes tables, databases, and other data used to estimate transport emissions."]
[]
[null,"1. …"]
[null,"2.  …"]
[null,"3. …"]
[null,"4. …"]

{"sheet":"TR-1","index":27,"n_rows":61,"n_cols":13,"rows_kept":61,"cut":false,"hidden":true,"merged":[[16,2,16,4],[16,6,16,8],[16,10,16,12]]}
[]
[null,"TRANSPORT 1 emission calculations"]
[null,"Transport stage:","Transport 1"]
[]
[null,"Origin country",{"$f":"countryOfProduction","v":{"$error":"#N/A"}}]
[null,"Origin region",{"$f":"INDEX(Countries[Region],MATCH(TR1OgCountry,Countries[Country],0))","v":{"$error":"#N/A"}}]
[null,"Destination country",{"$f":"INDEX('Country-selector'!$H$22:$H$28,MATCH($C$3,'Country-selector'!$E$22:$E$28,0))","v":{"$error":"#N/A"}}]
[null,"Destination region",{"$f":"INDEX(Countries[Region],MATCH(TR1DestCountry,Countries[Country],0))","v":{"$error":"#N/A"}}]
[null,"Same Origin and destination region?",{"$f":"TR1DestReg=TR1OgReg","v":{"$error":"#N/A"}}]
[]
[null,"CO2 emissions per tonne (tCO2e)",{"$f":"(E53/1000*E19\n+I53/1000*I19\n+M53/1000*M19)","v":{"$error":"#N/A"}}]
[null,"CH4 emissions per tonne (tCO2e)",{"$f":"(E54/1000*E19\n+I54/1000*I19\n+M54/1000*M19)","v":{"$error":"#N/A"}}]
[null,"N2O emissions per tonne (tCO2e)",{"$f":"(E55/1000*E19\n+I55/1000*I19\n+M55/1000*M19)","v":{"$error":"#N/A"}}]
[null,"Total emissions per tonne (tCO2e)",{"$f":"SUM(C11:C13)","v":{"$error":"#N/A"}}]
[]
[]
[null,null,"Sub-stage within Origin country",null,null,null,"Sub-stage in between Origin and Destination countries",null,null,null,"Sub-stage within Destination country"]
[null,"Transport inputs","Default","Advanced inputs\nb) transportation mode","Final Selection",null,"Default","Advanced inputs\nb) transportation mode","Final Selection",null,"Default","Advanced inputs\nb) transportation mode","Final Selection"]
[null,"Distance (km) - preliminary input",{"$f":"INDEX('TR-Road-dist'!$I$8:$I$167,MATCH(TR1OgCountry,'TR-Road-dist'!$B$8:$B$167,0))\n/INDEX('Country-selector'!$C$36:$C$40,MATCH(TR1OgCountry,'Country-selector'!$B$36:$B$40,0))","v":{"$error":"#N/A"}},{"$f":"transport1UserDistance1","v":0},{"$f":"IF(ISNA(D19),C19,\nIF(OR(D19=0,D19<0),C19,D19))","v":{"$error":"#N/A"}},null,{"$f":"IF(TR1OgCountry=TR1DestCountry,0,\nIF(OR(C9<>TRUE,AND(TR1OgReg=TR1DestReg,TR1OgReg=\"Africa\"),AND(TR1OgReg=TR1DestReg,TR1OgReg=\"Latin America and Caribbean\"),AND(TR1OgReg=TR1DestReg,TR1OgReg=\"South Asia\"),AND(TR1OgReg=TR1DestReg,TR1OgReg=\"East Asia and Pacific\")),\nINDEX(ShippingSeaDistances[IFC Tool: Sea distance for in between countries shipping (km)],MATCH(_xlfn.CONCAT(TR1OgCountry,TR1DestCountry),ShippingSeaDistances[IFC Tool: concatenate Origin country and Destination country],0)),\nINDEX(IntraRegionalDistances[Road Distance (km)],MATCH($C$3,IntraRegionalDistances[Transport step],0))))","v":{"$error":"#N/A"}},{"$f":"IF(TR1OgCountry=TR1DestCountry,0,transport1UserDistance2)","v":{"$error":"#N/A"}},{"$f":"IF(ISNA(H19),G19,\nIF(OR(H19=0,H19<0),G19,H19))","v":{"$error":"#N/A"}},null,{"$f":"IF(TR1OgCountry=TR1DestCountry,0,\nINDEX('TR-Road-dist'!$I$8:$I$167,MATCH(TR1DestCountry,'TR-Road-dist'!$B$8:$B$167,0))/INDEX('Country-selector'!$C$36:$C$40,MATCH(TR1DestCountry,'Country-selector'!$B$36:$B$40,0)))","v":{"$error":"#N/A"}},{"$f":"IF(TR1OgCountry=TR1DestCountry,0,transport1UserDistance3)","v":{"$error":"#N/A"}},{"$f":"IF(ISNA(L19),K19,\nIF(OR(L19=0,L19<0),K19,L19))","v":{"$error":"#N/A"}}]
[null,"Transport mode","Truck",{"$f":"Interface!C124","v":0},null,null,{"$f":"IF(TR1OgCountry=TR1DestCountry,0,\nIF(AND(TR1OgReg=TR1DestReg,OR(TR1DestReg=\"Africa\",TR1DestReg=\"Latin America and Caribbean\",TR1DestReg=\"South Asia\",TR1DestReg=\"East Asia and Pacific\")),\"Ship\",\nIF(AND(TR1OgReg=TR1DestReg,OR(TR1DestReg=\"Europe and Central Asia\",TR1DestReg=\"Middle East and North Africa\",TR1DestReg=\"North America\")),\"Truck\",\"Ship\")))","v":{"$error":"#N/A"}},{"$f":"Interface!D124","v":0},null,null,"Truck",{"$f":"Interface!E124","v":0}]
[null,"Fuel type","Diesel",{"$f":"Interface!C125","v":0},null,null,{"$f":"IF(G$20=\"Truck\",$C21,\"Not applicable\")","v":{"$error":"#N/A"}},{"$f":"Interface!D125","v":0},null,null,"Diesel",{"$f":"Interface!E125","v":0}]
[null,"Category",{"$f":"IF(C23=\"No\",\"Average (all trucks)\",\"All HGVs\")","v":{"$error":"#N/A"}},{"$f":"Interface!C126","v":0},null,null,{"$f":"IF(G$20=\"Truck\",$C22,\"General cargo (average)\")","v":{"$error":"#N/A"}},{"$f":"Interface!D126","v":0},null,null,{"$f":"IF(K23=\"No\",\"Average (all trucks)\",\"All HGVs\")","v":{"$error":"#N/A"}},{"$f":"Interface!E126","v":0}]
[null,"Temperature control",{"$f":"IF(INDEX(isChilledTable[Chilled?],MATCH(commodity,isChilledTable[Crop],0))=\"y\",\"Yes\",\"No\")","v":{"$error":"#N/A"}},{"$f":"Interface!C127","v":0},null,null,{"$f":"IF(INDEX(isChilledTable[Chilled?],MATCH(commodity,isChilledTable[Crop],0))=\"y\",\"Yes\",\"No\")","v":{"$error":"#N/A"}},{"$f":"Interface!D127","v":0},null,null,{"$f":"IF(INDEX(isChilledTable[Chilled?],MATCH(commodity,isChilledTable[Crop],0))=\"y\",\"Yes\",\"No\")","v":{"$error":"#N/A"}},{"$f":"Interface!E127","v":0}]
[null,"Adjustment for road conditions (%)",{"$f":"INDEX(RoadConditionTable[Adjustment],MATCH(TR1OgCountry,RoadConditionTable[Country],0))","v":{"$error":"#N/A"}},{"$f":"IF(OR(D20=\"Truck\",D20=\"Van\"),INDEX(RoadConditionsAdj[Adjustment],MATCH(Interface!$C128,RoadConditionsAdj[Road conditions],0)),0)","v":0},null,null,{"$f":"IF(G$20=\"Truck\",$C24,0)","v":{"$error":"#N/A"}},{"$f":"IF(OR(H20=\"Truck\",H20=\"Van\"),INDEX(RoadConditionsAdj[Adjustment],MATCH(Interface!$D128,RoadConditionsAdj[Road conditions],0)),0)","v":0},null,null,{"$f":"INDEX(RoadConditionTable[Adjustment],MATCH(TR1DestCountry,RoadConditionTable[Country],0))","v":{"$error":"#N/A"}},{"$f":"IF(OR(L20=\"Truck\",L20=\"Van\"),INDEX(RoadConditionsAdj[Adjustment],MATCH(Interface!$E128,RoadConditionsAdj[Road conditions],0)),0)","v":0}]
[null,"Fuel type input list reference",{"$f":"C20&\"Fuel\"","v":"TruckFuel"},{"$f":"D20&\"Fuel\"","v":"0Fuel"},null,null,{"$f":"G20&\"Fuel\"","v":{"$error":"#N/A"}},{"$f":"H20&\"Fuel\"","v":"0Fuel"},null,null,{"$f":"K20&\"Fuel\"","v":"TruckFuel"},{"$f":"L20&\"Fuel\"","v":"0Fuel"}]
[null,"Is it using Default or User input value?",null,{"$f":"IF(OR(D20<>C20,D21<>C21,D22<>C22,D23<>C23),\"User Input\",\"Default\")","v":{"$error":"#N/A"}},null,null,null,{"$f":"IF(OR(H20<>G20,H21<>G21,H22<>G22,H23<>G23),\"User Input\",\"Default\")","v":{"$error":"#N/A"}},null,null,null,{"$f":"IF(OR(L20<>K20,L21<>K21,L22<>K22,L23<>K23),\"User Input\",\"Default\")","v":{"$error":"#N/A"}}]
[]
[null,"Preliminary EFs",{"$f":"C$18","v":"Default"},"Advanced inputs\nb) transportation mode",null,null,{"$f":"G$18","v":"Default"},"Advanced inputs\nb) transportation mode",null,null,{"$f":"K$18","v":"Default"},"Advanced inputs\nb) transportation mode"]
[null,"Transport Emission Factor - CO2 (kgCO2e/tonne.km)",{"$f":"C$32*C59","v":{"$error":"#N/A"}},{"$error":"#N/A"},null,null,{"$f":"G$32*G59","v":{"$error":"#N/A"}},{"$error":"#N/A"},null,null,{"$f":"K$32*K59","v":{"$error":"#N/A"}},{"$error":"#N/A"}]
[null,"Transport Emission Factor - CH4 (kgCO2e/tonne.km)",{"$error":"#N/A"},{"$error":"#N/A"},null,null,{"$error":"#N/A"},{"$error":"#N/A"},null,null,{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"Transport Emission Factor - N2O (kgCO2e/tonne.km)",{"$error":"#N/A"},{"$error":"#N/A"},null,null,{"$error":"#N/A"},{"$error":"#N/A"},null,null,{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"Transport Emission Factor - Total (kgCO2e/tonne.km)",{"$f":"(1+C24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(C20=transportEFtable[Category])*(C22=transportEFtable[Sub-category])*(C21=transportEFtable[Fuel])*(C23=transportEFtable[Refrigerated]),0))","v":{"$error":"#N/A"}},{"$f":"IF(D20=\"Unmotorized\",0,\n(1+D24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(D20=transportEFtable[Category])*(D22=transportEFtable[Sub-category])*(D21=transportEFtable[Fuel])*(D23=transportEFtable[Refrigerated]),0)))","v":{"$error":"#N/A"}},null,null,{"$f":"(1+G24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(G20=transportEFtable[Category])*(G22=transportEFtable[Sub-category])*(G21=transportEFtable[Fuel])*(G23=transportEFtable[Refrigerated]),0))","v":{"$error":"#N/A"}},{"$f":"IF(H20=\"Unmotorized\",0,\n(1+H24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(H20=transportEFtable[Category])*(H22=transportEFtable[Sub-category])*(H21=transportEFtable[Fuel])*(H23=transportEFtable[Refrigerated]),0)))","v":{"$error":"#N/A"}},null,null,{"$f":"(1+K24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(K20=transportEFtable[Category])*(K22=transportEFtable[Sub-category])*(K21=transportEFtable[Fuel])*(K23=transportEFtable[Refrigerated]),0))","v":{"$error":"#N/A"}},{"$f":"IF(L20=\"Unmotorized\",0,\n(1+L24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(L20=transportEFtable[Category])*(L22=transportEFtable[Sub-category])*(L21=transportEFtable[Fuel])*(L23=transportEFtable[Refrigerated]),0)))","v":{"$error":"#N/A"}}]
[]
[null,{"$f":"\"Emission factors based on user input - \"&'TR-Lists'!F14","v":"Emission factors based on user input - Trip emissions (kg CO2e/tonne.km)"},{"$f":"C$18","v":"Default"},"Advanced inputs\na) EF - trip emissions",null,null,{"$f":"G$18","v":"Default"},"Advanced inputs\na) EF - trip emissions",null,null,{"$f":"K$18","v":"Default"},"Advanced inputs\na) EF - trip emissions"]
[null,"Transport Emission Factor - CO2 (kgCO2e/tonne.km)",null,{"$f":"D$38*D59","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H$38*H59","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L$38*L59","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - CH4 (kgCO2e/tonne.km)",null,{"$f":"D$38*D60","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H$38*H60","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L$38*L60","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - N2O (kgCO2e/tonne.km)",null,{"$f":"D$38*D61","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H$38*H61","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L$38*L61","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - Total (kgCO2e/tonne.km)",null,{"$f":"IF(transport1TypeSelection1='TR-Lists'!$F$14,D32,\"\")","v":""},null,null,null,{"$f":"IF(transport1TypeSelection2='TR-Lists'!$F$14,transport1CO22,\"\")","v":""},null,null,null,{"$f":"IF(transport1TypeSelection3='TR-Lists'!$F$14,transport1CO23,\"\")","v":""}]
[null,"Is it using Default or User input value?",null,{"$f":"IF(AND(transport1TypeSelection1='TR-Lists'!$F$14,transport1CO21<>C56,D26<>\"User Input\"),\"User Input\",\"Default\")","v":{"$error":"#N/A"}},null,null,null,{"$f":"IF(AND(transport1TypeSelection2='TR-Lists'!$F$14,transport1CO22<>G56,H26<>\"User Input\"),\"User Input\",\"Default\")","v":{"$error":"#N/A"}},null,null,null,{"$f":"IF(AND(transport1TypeSelection3='TR-Lists'!$F$14,transport1CO23<>K56,L26<>\"User Input\"),\"User Input\",\"Default\")","v":{"$error":"#N/A"}}]
[]
[null,{"$f":"\"Emission factors based on user input - \"&'TR-Lists'!F15","v":"Emission factors based on user input - Fuel efficiency (l/100km)"},{"$f":"C$18","v":"Default"},"Advanced inputs\na) EF - fuel efficiency",null,null,{"$f":"G$18","v":"Default"},"Advanced inputs\na) EF - fuel efficiency",null,null,{"$f":"K$18","v":"Default"},"Advanced inputs\na) EF - fuel efficiency"]
[null,"l/100km",null,{"$f":"IF(Interface!C120='TR-Lists'!$F$15,Interface!C121,\"\")","v":""},null,null,null,{"$f":"IF(Interface!D120='TR-Lists'!$F$15,Interface!D121,\"\")","v":""},null,null,null,{"$f":"IF(Interface!E120='TR-Lists'!$F$15,Interface!E121,\"\")","v":""}]
[null,"tonnes (based on typical gross HGV weight)",null,18.25,null,null,null,18.25,null,null,null,18.25,"Based on typical gross HGV weight"]
[null,"kgCO2/l (BEIS 2024 (UK) 100% mineral diesel emission factor)",null,{"$f":"3.286","v":3.286},null,null,null,{"$f":"3.286","v":3.286},null,null,null,{"$f":"3.286","v":3.286},"BEIS (UK) diesel emission factor"]
[null,"kgCO2/km",null,{"$f":"D44*(D42/100)","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H44*(H42/100)","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L44*(L42/100)","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - CO2 (kgCO2e/tonne.km)",null,{"$f":"D$49*D59","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H$49*H59","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L$49*L59","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - CH4 (kgCO2e/tonne.km)",null,{"$f":"D$49*D60","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H$49*H60","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L$49*L60","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - N2O (kgCO2e/tonne.km)",null,{"$f":"D$49*D61","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H$49*H61","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L$49*L61","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - Total (kgCO2e/tonne.km)",null,{"$f":"(D45/D43)+50%*(D45/D43)","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"(H45/H43)+50%*(H45/H43)","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"(L45/L43)+50%*(L45/L43)","v":{"$error":"#VALUE!"}}]
[null,"Is it using Default or User input value?",null,{"$f":"IF(transport1TypeSelection1='TR-Lists'!$F$15,\"User Input\",\"Default\")","v":"Default"},null,null,null,{"$f":"IF(transport1TypeSelection2='TR-Lists'!$F$15,\"User Input\",\"Default\")","v":"Default"},null,null,null,{"$f":"IF(transport1TypeSelection3='TR-Lists'!$F$15,\"User Input\",\"Default\")","v":"Default"}]
[]
[null,null,{"$f":"C$18","v":"Default"},"Advanced inputs","Final Selection",null,{"$f":"G$18","v":"Default"},"Advanced inputs","Final Selection",null,{"$f":"K$18","v":"Default"},"Advanced inputs","Final Selection"]
[null,"Transport Emission Factor - CO2 (kgCO2e/tonne.km)",{"$f":"C$56*C59","v":{"$error":"#N/A"}},{"$f":"IF(D$26=\"User input\",D29,\nIF(D$39=\"User input\",D35,\nIF(D$50=\"User input\",D46,C53)))","v":{"$error":"#N/A"}},{"$f":"IF(D20=\"Unmotorized\",0,\nIF(ISNA(D53),C53,\nIF(OR(D53=0,D53<0),C53,D53)))","v":{"$error":"#N/A"}},null,{"$f":"G$56*G59","v":{"$error":"#N/A"}},{"$f":"IF(TR1OgCountry=TR1DestCountry,0,\nIF(H$26=\"User input\",H29,\nIF(H$39=\"User input\",H35,                                                                                                                                                                                                                                                IF(H$50=\"User input\",H46,G53))))","v":{"$error":"#N/A"}},{"$f":"IF(H20=\"Unmotorized\",0,IF(TR1OgCountry=TR1DestCountry,0,\nIF(ISNA(H53),G53,\nIF(OR(H53=0,H53<0),G53,H53))))","v":{"$error":"#N/A"}},null,{"$f":"K$56*K59","v":{"$error":"#N/A"}},{"$f":"IF(TR1OgCountry=TR1DestCountry,0,\nIF(L$26=\"User input\",L29,\nIF(L$39=\"User input\",L35,                                                                                                                                                                                                                                                IF(L$50=\"User input\",L46,K53))))","v":{"$error":"#N/A"}},{"$f":"IF($L$20=\"Unmotorized\",0,\nIF(ISNA(L53),K53,\nIF(OR(L53=0,L53<0),K53,L53)))","v":{"$error":"#N/A"}}]
[null,"Transport Emission Factor - CH4 (kgCO2e/tonne.km)",{"$f":"C$56*C60","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"IF(D20=\"Unmotorized\",0,\nIF(ISNA(D54),C54,\nIF(OR(D54=0,D54<0),C54,D54)))","v":{"$error":"#N/A"}},null,{"$f":"G$56*G60","v":{"$error":"#N/A"}},{"$f":"IF(TR1OgCountry=TR1DestCountry,0,\nIF(H$26=\"User input\",H30,\nIF(H$39=\"User input\",H36,                                                                                                                                                                                                                                                IF(H$50=\"User input\",H47,G54))))","v":{"$error":"#N/A"}},{"$f":"IF(H20=\"Unmotorized\",0,IF(TR1OgCountry=TR1DestCountry,0,\nIF(ISNA(H54),G54,\nIF(OR(H54=0,H54<0),G54,H54))))","v":{"$error":"#N/A"}},null,{"$f":"K$56*K60","v":{"$error":"#N/A"}},{"$f":"IF(TR1OgCountry=TR1DestCountry,0,\nIF(L$26=\"User input\",L30,\nIF(L$39=\"User input\",L36,                                                                                                                                                                                                                                                IF(L$50=\"User input\",L47,K54))))","v":{"$error":"#N/A"}},{"$f":"IF($L$20=\"Unmotorized\",0,\nIF(ISNA(L54),K54,\nIF(OR(L54=0,L54<0),K54,L54)))","v":{"$error":"#N/A"}}]
[null,"Transport Emission Factor - N2O (kgCO2e/tonne.km)",{"$f":"C$56*C61","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"IF(D20=\"Unmotorized\",0,\nIF(ISNA(D55),C55,\nIF(OR(D55=0,D55<0),C55,D55)))","v":{"$error":"#N/A"}},null,{"$f":"G$56*G61","v":{"$error":"#N/A"}},{"$f":"IF(TR1OgCountry=TR1DestCountry,0,\nIF(H$26=\"User input\",H31,\nIF(H$39=\"User input\",H37,                                                                                                                                                                                                                                                IF(H$50=\"User input\",H48,G55))))","v":{"$error":"#N/A"}},{"$f":"IF(H20=\"Unmotorized\",0,IF(TR1OgCountry=TR1DestCountry,0,\nIF(ISNA(H55),G55,\nIF(OR(H55=0,H55<0),G55,H55))))","v":{"$error":"#N/A"}},null,{"$f":"K$56*K61","v":{"$error":"#N/A"}},{"$f":"IF(TR1OgCountry=TR1DestCountry,0,\nIF(L$26=\"User input\",L31,\nIF(L$39=\"User input\",L37,                                                                                                                                                                                                                                                IF(L$50=\"User input\",L48,K55))))","v":{"$error":"#N/A"}},{"$error":"#N/A"}]
[null,"Transport Emission Factor - Total (kgCO2e/tonne.km)",{"$f":"(1+C24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,('TR-1'!C20=transportEFtable[Category])*('TR-1'!C22=transportEFtable[Sub-category])*('TR-1'!C21=transportEFtable[Fuel])*('TR-1'!C23=transportEFtable[Refrigerated]),0))","v":{"$error":"#N/A"}},{"$f":"IF(D$26=\"User input\",D32,\nIF(D$39=\"User input\",D38,\nIF(D$50=\"User input\",D49,C56)))","v":{"$error":"#N/A"}},{"$f":"IF(D20=\"Unmotorized\",0,\nIFERROR(IF(C56<>D56,D56,C56),C56))","v":{"$error":"#N/A"}},null,{"$f":"(1+G24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,('TR-1'!G20=transportEFtable[Category])*('TR-1'!G22=transportEFtable[Sub-category])*('TR-1'!G21=transportEFtable[Fuel])*('TR-1'!G23=transportEFtable[Refrigerated]),0))","v":{"$error":"#N/A"}},{"$f":"IF(TR1OgCountry=TR1DestCountry,0,\nIF(H$26=\"User input\",H32,\nIF(H$39=\"User input\",H38,                                                                                                                                                                                                                                                IF(H$50=\"User input\",H49,G56))))","v":{"$error":"#N/A"}},{"$f":"IF(H20=\"Unmotorized\",0,IF(TR1OgCountry=TR1DestCountry,0,\nIFERROR(IF(G56<>H56,H56,G56),G56)))","v":{"$error":"#N/A"}},null,{"$f":"(1+K24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(K20=transportEFtable[Category])*(K22=transportEFtable[Sub-category])*(K21=transportEFtable[Fuel])*(K23=transportEFtable[Refrigerated]),0))","v":{"$error":"#N/A"}},{"$f":"IF(TR1OgCountry=TR1DestCountry,0,\nIF(L$26=\"User input\",L32,\nIF(L$39=\"User input\",L38,                                                                                                                                                                                                                                                IF(L$50=\"User input\",L49,K56))))","v":{"$error":"#N/A"}},{"$error":"#N/A"}]
[]
[null,"Calculate distribution of CO2e by GHG"]
[null,"CO2 (%)",1,1,1,null,1,1,1,null,1,1,1]
[null,"CH4 (%)",0,0,0,null,0,0,0,null,0,0,0]
[null,"N2O (%)",0,0,0,null,0,0,0,null,0,0,0]

{"sheet":"TR-2","index":28,"n_rows":61,"n_cols":13,"rows_kept":61,"cut":false,"hidden":true,"merged":[[16,10,16,12],[16,2,16,4],[16,6,16,8]]}
[]
[null,"TRANSPORT 2 emission calculations"]
[null,"Transport stage:","Transport 2"]
[]
[null,"Origin country",{"$f":"INDEX('Country-selector'!$F$22:$F$28,MATCH($C$3,'Country-selector'!$E$22:$E$28,0))","v":{"$error":"#N/A"}}]
[null,"Origin region",{"$f":"INDEX(Countries[Region],MATCH(TR2OgCountry,Countries[Country],0))","v":{"$error":"#N/A"}}]
[null,"Destination country",{"$f":"INDEX('Country-selector'!$H$22:$H$28,MATCH($C$3,'Country-selector'!$E$22:$E$28,0))","v":{"$error":"#N/A"}}]
[null,"Destination region",{"$f":"INDEX(Countries[Region],MATCH(TR2DestCountry,Countries[Country],0))","v":{"$error":"#N/A"}}]
[null,"Same Origin and destination region?",{"$f":"TR2DestReg=TR2OgReg","v":{"$error":"#N/A"}}]
[]
[null,"CO2 emissions per tonne (tCO2e)",{"$f":"(E53/1000*E19\n+I53/1000*I19\n+M53/1000*M19)","v":{"$error":"#N/A"}}]
[null,"CH4 emissions per tonne (tCO2e)",{"$f":"(E54/1000*E19\n+I54/1000*I19\n+M54/1000*M19)","v":{"$error":"#N/A"}}]
[null,"N2O emissions per tonne (tCO2e)",{"$f":"(E55/1000*E19\n+I55/1000*I19\n+M55/1000*M19)","v":{"$error":"#N/A"}}]
[null,"Total emissions per tonne (tCO2e)",{"$f":"SUM(C11:C13)","v":{"$error":"#N/A"}}]
[]
[]
[null,null,"Sub-stage within Origin country",null,null,null,"Sub-stage in between Origin and Destination countries",null,null,null,"Sub-stage within Destination country"]
[null,"Transport inputs","Default","Advanced inputs\nb) transportation mode","Final Selection",null,"Default","Advanced inputs\nb) transportation mode","Final Selection",null,"Default","Advanced inputs\nb) transportation mode","Final Selection"]
[null,"Distance (km) - preliminary input",{"$f":"INDEX('TR-Road-dist'!$I$8:$I$167,MATCH(TR2OgCountry,'TR-Road-dist'!$B$8:$B$167,0))\n/INDEX('Country-selector'!$C$36:$C$40,MATCH(TR2OgCountry,'Country-selector'!$B$36:$B$40,0))","v":{"$error":"#N/A"}},{"$f":"transport2UserDistance1","v":0},{"$f":"IF(ISNA(D19),C19,\nIF(OR(D19=0,D19<0),C19,D19))","v":{"$error":"#N/A"}},null,{"$f":"IF(TR2OgCountry=TR2DestCountry,0,\nIF(OR(C9<>TRUE,AND(TR2OgReg=TR2DestReg,TR2OgReg=\"Africa\"),AND(TR2OgReg=TR2DestReg,TR2OgReg=\"Latin America and Caribbean\"),AND(TR2OgReg=TR2DestReg,TR2OgReg=\"South Asia\"),AND(TR2OgReg=TR2DestReg,TR2OgReg=\"East Asia and Pacific\")),\nINDEX(ShippingSeaDistances[IFC Tool: Sea distance for in between countries shipping (km)],MATCH(_xlfn.CONCAT(TR2OgCountry,TR2DestCountry),ShippingSeaDistances[IFC Tool: concatenate Origin country and Destination country],0)),\nINDEX(IntraRegionalDistances[Road Distance (km)],MATCH($C$3,IntraRegionalDistances[Transport step],0))))","v":{"$error":"#N/A"}},{"$f":"transport2UserDistance2","v":0},{"$f":"IF(ISNA(H19),G19,\nIF(OR(H19=0,H19<0),G19,H19))","v":{"$error":"#N/A"}},null,{"$f":"IF(TR2OgCountry=TR2DestCountry,0,\nINDEX('TR-Road-dist'!$I$8:$I$167,MATCH(TR2DestCountry,'TR-Road-dist'!$B$8:$B$167,0))/INDEX('Country-selector'!$C$36:$C$40,MATCH(TR2DestCountry,'Country-selector'!$B$36:$B$40,0)))","v":{"$error":"#N/A"}},{"$f":"IF(TR2OgCountry=TR2DestCountry,0,transport2UserDistance3)","v":{"$error":"#N/A"}},{"$f":"IF(ISNA(L19),K19,\nIF(OR(L19=0,L19<0),K19,L19))","v":{"$error":"#N/A"}}]
[null,"Transport mode","Truck",{"$f":"Interface!C144","v":0},null,null,{"$f":"IF(TR2OgCountry=TR2DestCountry,0,\nIF(AND(TR2OgReg=TR2DestReg,OR(TR2DestReg=\"Africa\",TR2DestReg=\"Latin America and Caribbean\",TR2DestReg=\"South Asia\",TR2DestReg=\"East Asia and Pacific\")),\"Ship\",\nIF(AND(TR2OgReg=TR2DestReg,OR(TR2DestReg=\"Europe and Central Asia\",TR2DestReg=\"Middle East and North Africa\",TR2DestReg=\"North America\")),\"Truck\",\"Ship\")))","v":{"$error":"#N/A"}},{"$f":"Interface!D144","v":0},null,null,"Truck",{"$f":"Interface!E144","v":0}]
[null,"Fuel type","Diesel",{"$f":"Interface!C145","v":0},null,null,{"$f":"IF(G$20=\"Truck\",$C21,\"Not applicable\")","v":{"$error":"#N/A"}},{"$f":"Interface!D145","v":0},null,null,"Diesel",{"$f":"Interface!E145","v":0}]
[null,"Category",{"$f":"IF(C23=\"No\",\"Average (all trucks)\",\"All HGVs\")","v":{"$error":"#N/A"}},{"$f":"Interface!C146","v":0},null,null,{"$f":"IF(G$20=\"Truck\",$C22,\"General cargo (average)\")","v":{"$error":"#N/A"}},{"$f":"Interface!D146","v":0},null,null,{"$f":"IF(K23=\"No\",\"Average (all trucks)\",\"All HGVs\")","v":{"$error":"#N/A"}},{"$f":"Interface!E146","v":0}]
[null,"Temperature control",{"$f":"IF(INDEX(isChilledTable[Chilled?],MATCH(commodity,isChilledTable[Crop],0))=\"y\",\"Yes\",\"No\")","v":{"$error":"#N/A"}},{"$f":"Interface!C147","v":0},null,null,{"$f":"IF(INDEX(isChilledTable[Chilled?],MATCH(commodity,isChilledTable[Crop],0))=\"y\",\"Yes\",\"No\")","v":{"$error":"#N/A"}},{"$f":"Interface!D147","v":0},null,null,{"$f":"IF(INDEX(isChilledTable[Chilled?],MATCH(commodity,isChilledTable[Crop],0))=\"y\",\"Yes\",\"No\")","v":{"$error":"#N/A"}},{"$f":"Interface!E147","v":0}]
[null,"Adjustment for road conditions (%)",{"$f":"INDEX(RoadConditionTable[Adjustment],MATCH(TR2OgCountry,RoadConditionTable[Country],0))","v":{"$error":"#N/A"}},{"$f":"IF(OR(D20=\"Truck\",D20=\"Van\"),INDEX(RoadConditionsAdj[Adjustment],MATCH(Interface!$C148,RoadConditionsAdj[Road conditions],0)),0)","v":0},null,null,{"$f":"IF(G$20=\"Truck\",$C24,0)","v":{"$error":"#N/A"}},{"$f":"IF(OR(H20=\"Truck\",H20=\"Van\"),INDEX(RoadConditionsAdj[Adjustment],MATCH(Interface!$D148,RoadConditionsAdj[Road conditions],0)),0)","v":0},null,null,{"$f":"INDEX(RoadConditionTable[Adjustment],MATCH(TR2DestCountry,RoadConditionTable[Country],0))","v":{"$error":"#N/A"}},{"$f":"IF(OR(L20=\"Truck\",L20=\"Van\"),INDEX(RoadConditionsAdj[Adjustment],MATCH(Interface!$E148,RoadConditionsAdj[Road conditions],0)),0)","v":0}]
[null,"Fuel type input list reference",{"$f":"C20&\"Fuel\"","v":"TruckFuel"},{"$f":"D20&\"Fuel\"","v":"0Fuel"},null,null,{"$f":"G20&\"Fuel\"","v":{"$error":"#N/A"}},{"$f":"H20&\"Fuel\"","v":"0Fuel"},null,null,{"$f":"K20&\"Fuel\"","v":"TruckFuel"},{"$f":"L20&\"Fuel\"","v":"0Fuel"}]
[null,"Is it using Default or User input value?",null,{"$f":"IF(OR(D20<>C20,D21<>C21,D22<>C22,D23<>C23),\"User Input\",\"Default\")","v":{"$error":"#N/A"}},null,null,null,{"$f":"IF(OR(H20<>G20,H21<>G21,H22<>G22,H23<>G23),\"User Input\",\"Default\")","v":{"$error":"#N/A"}},null,null,null,{"$f":"IF(OR(L20<>K20,L21<>K21,L22<>K22,L23<>K23),\"User Input\",\"Default\")","v":{"$error":"#N/A"}}]
[]
[null,"Preliminary EFs",{"$f":"C$18","v":"Default"},"Advanced inputs\nb) transportation mode",null,null,{"$f":"G$18","v":"Default"},"Advanced inputs\nb) transportation mode",null,null,{"$f":"K$18","v":"Default"},"Advanced inputs\nb) transportation mode"]
[null,"Transport Emission Factor - CO2 (kgCO2e/tonne.km)",{"$f":"C$32*C59","v":{"$error":"#N/A"}},{"$error":"#N/A"},null,null,{"$f":"G$32*G59","v":{"$error":"#N/A"}},{"$error":"#N/A"},null,null,{"$f":"K$32*K59","v":{"$error":"#N/A"}},{"$error":"#N/A"}]
[null,"Transport Emission Factor - CH4 (kgCO2e/tonne.km)",{"$error":"#N/A"},{"$error":"#N/A"},null,null,{"$error":"#N/A"},{"$error":"#N/A"},null,null,{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"Transport Emission Factor - N2O (kgCO2e/tonne.km)",{"$error":"#N/A"},{"$error":"#N/A"},null,null,{"$error":"#N/A"},{"$error":"#N/A"},null,null,{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"Transport Emission Factor - Total (kgCO2e/tonne.km)",{"$f":"(1+C24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(C20=transportEFtable[Category])*(C22=transportEFtable[Sub-category])*(C21=transportEFtable[Fuel])*(C23=transportEFtable[Refrigerated]),0))","v":{"$error":"#N/A"}},{"$f":"IF(D20=\"Unmotorized\",0,\n(1+D24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(D20=transportEFtable[Category])*(D22=transportEFtable[Sub-category])*(D21=transportEFtable[Fuel])*(D23=transportEFtable[Refrigerated]),0)))","v":{"$error":"#N/A"}},null,null,{"$f":"(1+G24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(G20=transportEFtable[Category])*(G22=transportEFtable[Sub-category])*(G21=transportEFtable[Fuel])*(G23=transportEFtable[Refrigerated]),0))","v":{"$error":"#N/A"}},{"$f":"IF(H20=\"Unmotorized\",0,\n(1+H24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(H20=transportEFtable[Category])*(H22=transportEFtable[Sub-category])*(H21=transportEFtable[Fuel])*(H23=transportEFtable[Refrigerated]),0)))","v":{"$error":"#N/A"}},null,null,{"$f":"(1+K24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(K20=transportEFtable[Category])*(K22=transportEFtable[Sub-category])*(K21=transportEFtable[Fuel])*(K23=transportEFtable[Refrigerated]),0))","v":{"$error":"#N/A"}},{"$f":"IF(L20=\"Unmotorized\",0,\n(1+L24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(L20=transportEFtable[Category])*(L22=transportEFtable[Sub-category])*(L21=transportEFtable[Fuel])*(L23=transportEFtable[Refrigerated]),0)))","v":{"$error":"#N/A"}}]
[]
[null,{"$f":"\"Emission factors based on user input - \"&'TR-Lists'!F14","v":"Emission factors based on user input - Trip emissions (kg CO2e/tonne.km)"},{"$f":"C$18","v":"Default"},"Advanced inputs\na) EF - trip emissions",null,null,{"$f":"G$18","v":"Default"},"Advanced inputs\na) EF - trip emissions",null,null,{"$f":"K$18","v":"Default"},"Advanced inputs\na) EF - trip emissions"]
[null,"Transport Emission Factor - CO2 (kgCO2e/tonne.km)",null,{"$f":"D$38*D59","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H$38*H59","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L$38*L59","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - CH4 (kgCO2e/tonne.km)",null,{"$f":"D$38*D60","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H$38*H60","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L$38*L60","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - N2O (kgCO2e/tonne.km)",null,{"$f":"D$38*D61","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H$38*H61","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L$38*L61","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - Total (kgCO2e/tonne.km)",null,{"$f":"IF(transport2TypeSelection1='TR-Lists'!$F$14,D32,\"\")","v":""},null,null,null,{"$f":"IF(transport2TypeSelection2='TR-Lists'!$F$14,transport2CO22,\"\")","v":""},null,null,null,{"$f":"IF(transport2TypeSelection3='TR-Lists'!$F$14,transport2CO23,\"\")","v":""}]
[null,"Is it using Default or User input value?",null,{"$f":"IF(AND(transport2TypeSelection1='TR-Lists'!$F$14,transport2CO21<>C56,D26<>\"User Input\"),\"User Input\",\"Default\")","v":{"$error":"#N/A"}},null,null,null,{"$f":"IF(AND(transport2TypeSelection2='TR-Lists'!$F$14,transport2CO22<>G56,H26<>\"User Input\"),\"User Input\",\"Default\")","v":{"$error":"#N/A"}},null,null,null,{"$f":"IF(AND(transport2TypeSelection3='TR-Lists'!$F$14,transport2CO23<>K56,L26<>\"User Input\"),\"User Input\",\"Default\")","v":{"$error":"#N/A"}}]
[]
[null,{"$f":"\"Emission factors based on user input - \"&'TR-Lists'!F15","v":"Emission factors based on user input - Fuel efficiency (l/100km)"},{"$f":"C$18","v":"Default"},"Advanced inputs\na) EF - fuel efficiency",null,null,{"$f":"G$18","v":"Default"},"Advanced inputs\na) EF - fuel efficiency",null,null,{"$f":"K$18","v":"Default"},"Advanced inputs\na) EF - fuel efficiency"]
[null,"l/100km",null,{"$f":"IF(transport2TypeSelection1='TR-Lists'!$F$15,transport2CO21,\"\")","v":""},null,null,null,{"$f":"IF(transport2TypeSelection2='TR-Lists'!$F$15,transport2CO22,\"\")","v":""},null,null,null,{"$f":"IF(transport2TypeSelection3='TR-Lists'!$F$15,transport2CO23,\"\")","v":""}]
[null,"tonnes (based on typical gross HGV weight)",null,18.25,null,null,null,18.25,null,null,null,18.25,"Based on typical gross HGV weight"]
[null,"kgCO2/l (BEIS 2024 (UK) 100% mineral diesel emission factor)",null,{"$f":"3.286","v":3.286},null,null,null,{"$f":"3.286","v":3.286},null,null,null,{"$f":"3.286","v":3.286},"BEIS (UK) diesel emission factor"]
[null,"kgCO2/km",null,{"$f":"D44*(D42/100)","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H44*(H42/100)","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L44*(L42/100)","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - CO2 (kgCO2e/tonne.km)",null,{"$f":"D$49*D59","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H$49*H59","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L$49*L59","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - CH4 (kgCO2e/tonne.km)",null,{"$f":"D$49*D60","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H$49*H60","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L$49*L60","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - N2O (kgCO2e/tonne.km)",null,{"$f":"D$49*D61","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H$49*H61","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L$49*L61","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - Total (kgCO2e/tonne.km)",null,{"$f":"(D45/D43)+50%*(D45/D43)","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"(H45/H43)+50%*(H45/H43)","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"(L45/L43)+50%*(L45/L43)","v":{"$error":"#VALUE!"}}]
[null,"Is it using Default or User input value?",null,{"$f":"IF(transport2TypeSelection1='TR-Lists'!$F$15,\"User Input\",\"Default\")","v":"Default"},null,null,null,{"$f":"IF(transport2TypeSelection2='TR-Lists'!$F$15,\"User Input\",\"Default\")","v":"Default"},null,null,null,{"$f":"IF(transport2TypeSelection3='TR-Lists'!$F$15,\"User Input\",\"Default\")","v":"Default"}]
[]
[null,null,{"$f":"C$18","v":"Default"},"Advanced inputs","Final Selection",null,{"$f":"G$18","v":"Default"},"Advanced inputs","Final Selection",null,{"$f":"K$18","v":"Default"},"Advanced inputs","Final Selection"]
[null,"Transport Emission Factor - CO2 (kgCO2e/tonne.km)",{"$f":"C$56*C59","v":{"$error":"#N/A"}},{"$f":"IF(D$26=\"User input\",D29,\nIF(D$39=\"User input\",D35,                                                                                                                                                                                                                                                IF(D$50=\"User input\",D46,C53)))","v":{"$error":"#N/A"}},{"$f":"IF(D20=\"Unmotorized\",0,\nIF(ISNA(D53),C53,\nIF(OR(D53=0,D53<0),C53,D53)))","v":{"$error":"#N/A"}},null,{"$f":"G$56*G59","v":{"$error":"#N/A"}},{"$f":"IF(TR2OgCountry=TR2DestCountry,0,\nIF(H$26=\"User input\",H29,\nIF(H$39=\"User input\",H35,                                                                                                                                                                                                                                                IF(H$50=\"User input\",H46,G53))))","v":{"$error":"#N/A"}},{"$f":"IF(H20=\"Unmotorized\",0,IF(TR2OgCountry=TR2DestCountry,0,\nIF(ISNA(H53),G53,\nIF(OR(H53=0,H53<0),G53,H53))))","v":{"$error":"#N/A"}},null,{"$f":"K$56*K59","v":{"$error":"#N/A"}},{"$f":"IF(TR2OgCountry=TR2DestCountry,0,\nIF(L$26=\"User input\",L29,\nIF(L$39=\"User input\",L35,                                                                                                                                                                                                                                                IF(L$50=\"User input\",L46,K53))))","v":{"$error":"#N/A"}},{"$f":"IF($L$20=\"Unmotorized\",0,\nIF(ISNA(L53),K53,\nIF(OR(L53=0,L53<0),K53,L53)))","v":{"$error":"#N/A"}}]
[null,"Transport Emission Factor - CH4 (kgCO2e/tonne.km)",{"$f":"C$56*C60","v":{"$error":"#N/A"}},{"$f":"IF(D$26=\"User input\",D30,\nIF(D$39=\"User input\",D36,                                                                                                                                                                                                                                                IF(D$50=\"User input\",D47,C54)))","v":{"$error":"#N/A"}},{"$f":"IF(D20=\"Unmotorized\",0,\nIF(ISNA(D54),C54,\nIF(OR(D54=0,D54<0),C54,D54)))","v":{"$error":"#N/A"}},null,{"$f":"G$56*G60","v":{"$error":"#N/A"}},{"$f":"IF(TR2OgCountry=TR2DestCountry,0,\nIF(H$26=\"User input\",H30,\nIF(H$39=\"User input\",H36,                                                                                                                                                                                                                                                IF(H$50=\"User input\",H47,G54))))","v":{"$error":"#N/A"}},{"$f":"IF(H20=\"Unmotorized\",0,IF(TR2OgCountry=TR2DestCountry,0,\nIF(ISNA(H54),G54,\nIF(OR(H54=0,H54<0),G54,H54))))","v":{"$error":"#N/A"}},null,{"$f":"K$56*K60","v":{"$error":"#N/A"}},{"$f":"IF(TR2OgCountry=TR2DestCountry,0,\nIF(L$26=\"User input\",L30,\nIF(L$39=\"User input\",L36,                                                                                                                                                                                                                                                IF(L$50=\"User input\",L47,K54))))","v":{"$error":"#N/A"}},{"$f":"IF($L$20=\"Unmotorized\",0,\nIF(ISNA(L54),K54,\nIF(OR(L54=0,L54<0),K54,L54)))","v":{"$error":"#N/A"}}]
[null,"Transport Emission Factor - N2O (kgCO2e/tonne.km)",{"$f":"C$56*C61","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"IF(D20=\"Unmotorized\",0,\nIF(ISNA(D55),C55,\nIF(OR(D55=0,D55<0),C55,D55)))","v":{"$error":"#N/A"}},null,{"$f":"G$56*G61","v":{"$error":"#N/A"}},{"$f":"IF(TR2OgCountry=TR2DestCountry,0,\nIF(H$26=\"User input\",H31,\nIF(H$39=\"User input\",H37,                                                                                                                                                                                                                                                IF(H$50=\"User input\",H48,G55))))","v":{"$error":"#N/A"}},{"$f":"IF(H20=\"Unmotorized\",0,IF(TR2OgCountry=TR2DestCountry,0,\nIF(ISNA(H55),G55,\nIF(OR(H55=0,H55<0),G55,H55))))","v":{"$error":"#N/A"}},null,{"$f":"K$56*K61","v":{"$error":"#N/A"}},{"$f":"IF(TR2OgCountry=TR2DestCountry,0,\nIF(L$26=\"User input\",L31,\nIF(L$39=\"User input\",L37,                                                                                                                                                                                                                                                IF(L$50=\"User input\",L48,K55))))","v":{"$error":"#N/A"}},{"$error":"#N/A"}]
[null,"Transport Emission Factor - Total (kgCO2e/tonne.km)",{"$f":"(1+C24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(C20=transportEFtable[Category])*(C22=transportEFtable[Sub-category])*(C21=transportEFtable[Fuel])*(C23=transportEFtable[Refrigerated]),0))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"IF(D20=\"Unmotorized\",0,\nIFERROR(IF(C56<>D56,D56,C56),C56))","v":{"$error":"#N/A"}},null,{"$f":"(1+G24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(G20=transportEFtable[Category])*(G22=transportEFtable[Sub-category])*(G21=transportEFtable[Fuel])*(G23=transportEFtable[Refrigerated]),0))","v":{"$error":"#N/A"}},{"$f":"IF(TR2OgCountry=TR2DestCountry,0,\nIF(H$26=\"User input\",H32,\nIF(H$39=\"User input\",H38,                                                                                                                                                                                                                                                IF(H$50=\"User input\",H49,G56))))","v":{"$error":"#N/A"}},{"$f":"IF(H20=\"Unmotorized\",0,IF(TR2OgCountry=TR2DestCountry,0,\nIFERROR(IF(G56<>H56,H56,G56),G56)))","v":{"$error":"#N/A"}},null,{"$f":"(1+K24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(K20=transportEFtable[Category])*(K22=transportEFtable[Sub-category])*(K21=transportEFtable[Fuel])*(K23=transportEFtable[Refrigerated]),0))","v":{"$error":"#N/A"}},{"$f":"IF(TR2OgCountry=TR2DestCountry,0,\nIF(L$26=\"User input\",L32,\nIF(L$39=\"User input\",L38,                                                                                                                                                                                                                                                IF(L$50=\"User input\",L49,K56))))","v":{"$error":"#N/A"}},{"$error":"#N/A"}]
[]
[null,"Calculate distribution of CO2e by GHG"]
[null,"CO2 (%)",1,1,1,null,1,1,1,null,1,1,1]
[null,"CH4 (%)",0,0,0,null,0,0,0,null,0,0,0]
[null,"N2O (%)",0,0,0,null,0,0,0,null,0,0,0]

{"sheet":"TR-3","index":29,"n_rows":61,"n_cols":13,"rows_kept":61,"cut":false,"hidden":true,"merged":[[16,10,16,12],[16,2,16,4],[16,6,16,8]]}
[]
[null,"TRANSPORT 3 emission calculations"]
[null,"Transport stage:","Transport 3"]
[]
[null,"Origin country",{"$f":"INDEX('Country-selector'!$F$22:$F$28,MATCH($C$3,'Country-selector'!$E$22:$E$28,0))","v":{"$error":"#N/A"}}]
[null,"Origin region",{"$f":"INDEX(Countries[Region],MATCH(TR3OgCountry,Countries[Country],0))","v":{"$error":"#N/A"}}]
[null,"Destination country",{"$f":"INDEX('Country-selector'!$H$22:$H$28,MATCH($C$3,'Country-selector'!$E$22:$E$28,0))","v":{"$error":"#N/A"}}]
[null,"Destination region",{"$f":"INDEX(Countries[Region],MATCH(TR3DestCountry,Countries[Country],0))","v":{"$error":"#N/A"}}]
[null,"Same Origin and destination region?",{"$f":"TR3OgReg=TR3DestReg","v":{"$error":"#N/A"}}]
[]
[null,"CO2 emissions per tonne (tCO2e)",{"$f":"(E53/1000*E19\n+I53/1000*I19\n+M53/1000*M19)","v":{"$error":"#N/A"}}]
[null,"CH4 emissions per tonne (tCO2e)",{"$f":"(E54/1000*E19\n+I54/1000*I19\n+M54/1000*M19)","v":{"$error":"#N/A"}}]
[null,"N2O emissions per tonne (tCO2e)",{"$f":"(E55/1000*E19\n+I55/1000*I19\n+M55/1000*M19)","v":{"$error":"#N/A"}}]
[null,"Total emissions per tonne (tCO2e)",{"$f":"SUM(C11:C13)","v":{"$error":"#N/A"}}]
[]
[]
[null,null,"Sub-stage within Origin country",null,null,null,"Sub-stage in between Origin and Destination countries",null,null,null,"Sub-stage within Destination country"]
[null,"Transport inputs","Default","Advanced inputs\nb) transportation mode","Final Selection",null,"Default","Advanced inputs\nb) transportation mode","Final Selection",null,"Default","Advanced inputs\nb) transportation mode","Final Selection"]
[null,"Distance (km) - preliminary input",{"$f":"INDEX('TR-Road-dist'!$I$8:$I$167,MATCH(TR3OgCountry,'TR-Road-dist'!$B$8:$B$167,0))\n/INDEX('Country-selector'!$C$36:$C$40,MATCH(TR3OgCountry,'Country-selector'!$B$36:$B$40,0))","v":{"$error":"#N/A"}},{"$f":"transport3UserDistance1","v":0},{"$f":"IF(ISNA(D19),C19,\nIF(OR(D19=0,D19<0),C19,D19))","v":{"$error":"#N/A"}},null,{"$f":"IF(TR3OgCountry=TR3DestCountry,0,\nIF(OR(C9<>TRUE,AND(C9,TR3OgReg=\"Africa\"),AND(C9,TR3OgReg=\"Latin America and Caribbean\"),AND(C9,TR3OgReg=\"South Asia\"),AND(C9,TR3OgReg=\"East Asia and Pacific\")),\nINDEX(ShippingSeaDistances[IFC Tool: Sea distance for in between countries shipping (km)],MATCH(_xlfn.CONCAT(TR3OgCountry,TR3DestCountry),ShippingSeaDistances[IFC Tool: concatenate Origin country and Destination country],0)),\nINDEX(IntraRegionalDistances[Road Distance (km)],MATCH($C$3,IntraRegionalDistances[Transport step],0))))","v":{"$error":"#N/A"}},{"$f":"transport3UserDistance2","v":0},{"$f":"IF(ISNA(H19),G19,\nIF(OR(H19=0,H19<0),G19,H19))","v":{"$error":"#N/A"}},null,{"$f":"IF(TR3OgCountry=TR3DestCountry,0,\nINDEX('TR-Road-dist'!$I$8:$I$167,MATCH(TR3DestCountry,'TR-Road-dist'!$B$8:$B$167,0))/INDEX('Country-selector'!$C$36:$C$40,MATCH(TR3DestCountry,'Country-selector'!$B$36:$B$40,0)))","v":{"$error":"#N/A"}},{"$f":"IF(TR3OgCountry=TR3DestCountry,0,transport3UserDistance3)","v":{"$error":"#N/A"}},{"$f":"IF(ISNA(L19),K19,\nIF(OR(L19=0,L19<0),K19,L19))","v":{"$error":"#N/A"}}]
[null,"Transport mode","Truck",{"$f":"Interface!C164","v":0},null,null,{"$f":"IF(TR3OgCountry=TR3DestCountry,0,\nIF(AND(TR3OgReg=TR3DestReg,OR(TR3DestReg=\"Africa\",TR3DestReg=\"Latin America and Caribbean\",TR3DestReg=\"South Asia\",TR3DestReg=\"East Asia and Pacific\")),\"Ship\",\nIF(AND(TR3OgReg=TR3DestReg,OR(TR3DestReg=\"Europe and Central Asia\",TR3DestReg=\"Middle East and North Africa\",TR3DestReg=\"North America\")),\"Truck\",\"Ship\")))","v":{"$error":"#N/A"}},{"$f":"Interface!D164","v":0},null,null,"Truck",{"$f":"Interface!E164","v":0}]
[null,"Fuel type","Diesel",{"$f":"Interface!C165","v":0},null,null,{"$f":"IF(G$20=\"Truck\",$C21,\"Not applicable\")","v":{"$error":"#N/A"}},{"$f":"Interface!D165","v":0},null,null,"Diesel",{"$f":"Interface!E165","v":0}]
[null,"Category",{"$f":"IF(C23=\"No\",\"Average (all trucks)\",\"All HGVs\")","v":{"$error":"#N/A"}},{"$f":"Interface!C166","v":0},null,null,{"$f":"IF(G$20=\"Truck\",$C22,\"General cargo (average)\")","v":{"$error":"#N/A"}},{"$f":"Interface!D166","v":0},null,null,{"$f":"IF(K23=\"No\",\"Average (all trucks)\",\"All HGVs\")","v":{"$error":"#N/A"}},{"$f":"Interface!E166","v":0}]
[null,"Temperature control",{"$f":"IF(INDEX(isChilledTable[Chilled?],MATCH(commodity,isChilledTable[Crop],0))=\"y\",\"Yes\",\"No\")","v":{"$error":"#N/A"}},{"$f":"Interface!C167","v":0},null,null,{"$f":"IF(INDEX(isChilledTable[Chilled?],MATCH(commodity,isChilledTable[Crop],0))=\"y\",\"Yes\",\"No\")","v":{"$error":"#N/A"}},{"$f":"Interface!D167","v":0},null,null,{"$f":"IF(INDEX(isChilledTable[Chilled?],MATCH(commodity,isChilledTable[Crop],0))=\"y\",\"Yes\",\"No\")","v":{"$error":"#N/A"}},{"$f":"Interface!E167","v":0}]
[null,"Adjustment for road conditions (%)",{"$f":"INDEX(RoadConditionTable[Adjustment],MATCH(TR3OgCountry,RoadConditionTable[Country],0))","v":{"$error":"#N/A"}},{"$f":"IF(OR(D20=\"Truck\",D20=\"Van\"),INDEX(RoadConditionsAdj[Adjustment],MATCH(Interface!$C168,RoadConditionsAdj[Road conditions],0)),0)","v":0},null,null,{"$f":"IF(G$20=\"Truck\",$C24,0)","v":{"$error":"#N/A"}},{"$f":"IF(OR(H20=\"Truck\",H20=\"Van\"),INDEX(RoadConditionsAdj[Adjustment],MATCH(Interface!$D168,RoadConditionsAdj[Road conditions],0)),0)","v":0},null,null,{"$f":"INDEX(RoadConditionTable[Adjustment],MATCH(TR3DestCountry,RoadConditionTable[Country],0))","v":{"$error":"#N/A"}},{"$f":"IF(OR(L20=\"Truck\",L20=\"Van\"),INDEX(RoadConditionsAdj[Adjustment],MATCH(Interface!$E168,RoadConditionsAdj[Road conditions],0)),0)","v":0}]
[null,"Fuel type input list reference",{"$f":"C20&\"Fuel\"","v":"TruckFuel"},{"$f":"D20&\"Fuel\"","v":"0Fuel"},null,null,{"$f":"G20&\"Fuel\"","v":{"$error":"#N/A"}},{"$f":"H20&\"Fuel\"","v":"0Fuel"},null,null,{"$f":"K20&\"Fuel\"","v":"TruckFuel"},{"$f":"L20&\"Fuel\"","v":"0Fuel"}]
[null,"Is it using Default or User input value?",null,{"$f":"IF(OR(D20<>C20,D21<>C21,D22<>C22,D23<>C23),\"User Input\",\"Default\")","v":{"$error":"#N/A"}},null,null,null,{"$f":"IF(OR(H20<>G20,H21<>G21,H22<>G22,H23<>G23),\"User Input\",\"Default\")","v":{"$error":"#N/A"}},null,null,null,{"$f":"IF(OR(L20<>K20,L21<>K21,L22<>K22,L23<>K23),\"User Input\",\"Default\")","v":{"$error":"#N/A"}}]
[]
[null,"Preliminary EFs",{"$f":"C$18","v":"Default"},"Advanced inputs\nb) transportation mode",null,null,{"$f":"G$18","v":"Default"},"Advanced inputs\nb) transportation mode",null,null,{"$f":"K$18","v":"Default"},"Advanced inputs\nb) transportation mode"]
[null,"Transport Emission Factor - CO2 (kgCO2e/tonne.km)",{"$f":"C$32*C59","v":{"$error":"#N/A"}},{"$error":"#N/A"},null,null,{"$f":"G$32*G59","v":{"$error":"#N/A"}},{"$error":"#N/A"},null,null,{"$f":"K$32*K59","v":{"$error":"#N/A"}},{"$f":"L$32*L59","v":{"$error":"#N/A"}}]
[null,"Transport Emission Factor - CH4 (kgCO2e/tonne.km)",{"$error":"#N/A"},{"$error":"#N/A"},null,null,{"$error":"#N/A"},{"$error":"#N/A"},null,null,{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"Transport Emission Factor - N2O (kgCO2e/tonne.km)",{"$error":"#N/A"},{"$error":"#N/A"},null,null,{"$error":"#N/A"},{"$error":"#N/A"},null,null,{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"Transport Emission Factor - Total (kgCO2e/tonne.km)",{"$f":"(1+C24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(C20=transportEFtable[Category])*(C22=transportEFtable[Sub-category])*(C21=transportEFtable[Fuel])*(C23=transportEFtable[Refrigerated]),0))","v":{"$error":"#N/A"}},{"$f":"IF(D20=\"Unmotorized\",0,\n(1+D24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(D20=transportEFtable[Category])*(D22=transportEFtable[Sub-category])*(D21=transportEFtable[Fuel])*(D23=transportEFtable[Refrigerated]),0)))","v":{"$error":"#N/A"}},null,null,{"$f":"(1+G24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(G20=transportEFtable[Category])*(G22=transportEFtable[Sub-category])*(G21=transportEFtable[Fuel])*(G23=transportEFtable[Refrigerated]),0))","v":{"$error":"#N/A"}},{"$f":"IF(H20=\"Unmotorized\",0,\n(1+H24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(H20=transportEFtable[Category])*(H22=transportEFtable[Sub-category])*(H21=transportEFtable[Fuel])*(H23=transportEFtable[Refrigerated]),0)))","v":{"$error":"#N/A"}},null,null,{"$f":"(1+K24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(K20=transportEFtable[Category])*(K22=transportEFtable[Sub-category])*(K21=transportEFtable[Fuel])*(K23=transportEFtable[Refrigerated]),0))","v":{"$error":"#N/A"}},{"$f":"IF(L20=\"Unmotorized\",0,\n(1+L24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(L20=transportEFtable[Category])*(L22=transportEFtable[Sub-category])*(L21=transportEFtable[Fuel])*(L23=transportEFtable[Refrigerated]),0)))","v":{"$error":"#N/A"}}]
[]
[null,{"$f":"\"Emission factors based on user input - \"&'TR-Lists'!F14","v":"Emission factors based on user input - Trip emissions (kg CO2e/tonne.km)"},{"$f":"C$18","v":"Default"},"Advanced inputs\na) EF - trip emissions",null,null,{"$f":"G$18","v":"Default"},"Advanced inputs\na) EF - trip emissions",null,null,{"$f":"K$18","v":"Default"},"Advanced inputs\na) EF - trip emissions"]
[null,"Transport Emission Factor - CO2 (kgCO2e/tonne.km)",null,{"$f":"D$38*D59","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H$38*H59","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L$38*L59","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - CH4 (kgCO2e/tonne.km)",null,{"$f":"D$38*D60","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H$38*H60","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L$38*L60","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - N2O (kgCO2e/tonne.km)",null,{"$f":"D$38*D61","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H$38*H61","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L$38*L61","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - Total (kgCO2e/tonne.km)",null,{"$f":"IF(transport3TypeSelection1='TR-Lists'!$F$14,D32,\"\")","v":""},null,null,null,{"$f":"IF(transport3TypeSelection2='TR-Lists'!$F$14,transport3CO22,\"\")","v":""},null,null,null,{"$f":"IF(transport3TypeSelection3='TR-Lists'!$F$14,transport3CO23,\"\")","v":""},"should it be zero instead of empty?"]
[null,"Is it using Default or User input value?",null,{"$f":"IF(AND(transport3TypeSelection1='TR-Lists'!$F$14,transport3CO21<>C56,D26<>\"User Input\"),\"User Input\",\"Default\")","v":{"$error":"#N/A"}},null,null,null,{"$f":"IF(AND(transport3TypeSelection2='TR-Lists'!$F$14,transport3CO22<>G56,H26<>\"User Input\"),\"User Input\",\"Default\")","v":{"$error":"#N/A"}},null,null,null,{"$f":"IF(AND(transport3TypeSelection3='TR-Lists'!$F$14,transport3CO23<>K56,L26<>\"User Input\"),\"User Input\",\"Default\")","v":{"$error":"#N/A"}}]
[]
[null,{"$f":"\"Emission factors based on user input - \"&'TR-Lists'!F15","v":"Emission factors based on user input - Fuel efficiency (l/100km)"},{"$f":"C$18","v":"Default"},"Advanced inputs\na) EF - fuel efficiency",null,null,{"$f":"G$18","v":"Default"},"Advanced inputs\na) EF - fuel efficiency",null,null,{"$f":"K$18","v":"Default"},"Advanced inputs\na) EF - fuel efficiency"]
[null,"l/100km",null,{"$f":"IF(transport3TypeSelection1='TR-Lists'!$F$15,transport3CO21,\"\")","v":""},null,null,null,{"$f":"IF(transport3TypeSelection2='TR-Lists'!$F$15,transport3CO22,\"\")","v":""},null,null,null,{"$f":"IF(transport3TypeSelection3='TR-Lists'!$F$15,transport3CO23,\"\")","v":""}]
[null,"tonnes (based on typical gross HGV weight)",null,18.25,null,null,null,18.25,null,null,null,18.25,"Based on typical gross HGV weight"]
[null,"kgCO2/l (BEIS 2024 (UK) 100% mineral diesel emission factor)",null,{"$f":"3.286","v":3.286},null,null,null,{"$f":"3.286","v":3.286},null,null,null,{"$f":"3.286","v":3.286},"BEIS (UK) diesel emission factor"]
[null,"kgCO2/km",null,{"$f":"D44*(D42/100)","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H44*(H42/100)","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L44*(L42/100)","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - CO2 (kgCO2e/tonne.km)",null,{"$f":"D$49*D59","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H$49*H59","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L$49*L59","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - CH4 (kgCO2e/tonne.km)",null,{"$f":"D$49*D60","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H$49*H60","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L$49*L60","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - N2O (kgCO2e/tonne.km)",null,{"$f":"D$49*D61","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H$49*H61","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L$49*L61","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - Total (kgCO2e/tonne.km)",null,{"$f":"(D45/D43)+50%*(D45/D43)","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"(H45/H43)+50%*(H45/H43)","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"(L45/L43)+50%*(L45/L43)","v":{"$error":"#VALUE!"}}]
[null,"Is it using Default or User input value?",null,{"$f":"IF(transport3TypeSelection1='TR-Lists'!$F$15,\"User Input\",\"Default\")","v":"Default"},null,null,null,{"$f":"IF(transport3TypeSelection2='TR-Lists'!$F$15,\"User Input\",\"Default\")","v":"Default"},null,null,null,{"$f":"IF(transport3TypeSelection3='TR-Lists'!$F$15,\"User Input\",\"Default\")","v":"Default"}]
[]
[null,null,{"$f":"C$18","v":"Default"},"Advanced inputs","Final Selection",null,{"$f":"G$18","v":"Default"},"Advanced inputs","Final Selection",null,{"$f":"K$18","v":"Default"},"Advanced inputs","Final Selection"]
[null,"Transport Emission Factor - CO2 (kgCO2e/tonne.km)",{"$f":"C$56*C59","v":{"$error":"#N/A"}},{"$f":"IF(D$26=\"User input\",D29,\nIF(D$39=\"User input\",D35,                                                                                                                                                                                                                                                IF(D$50=\"User input\",D46,C53)))","v":{"$error":"#N/A"}},{"$f":"IF(D20=\"Unmotorized\",0,\nIF(ISNA(D53),C53,\nIF(OR(D53=0,D53<0),C53,D53)))","v":{"$error":"#N/A"}},null,{"$f":"G$56*G59","v":{"$error":"#N/A"}},{"$f":"IF(TR3OgCountry=TR3DestCountry,0,\nIF(H$26=\"User input\",H29,\nIF(H$39=\"User input\",H35,                                                                                                                                                                                                                                                IF(H$50=\"User input\",H46,G53))))","v":{"$error":"#N/A"}},{"$f":"IF(H20=\"Unmotorized\",0,\nIF(TR3OgCountry=TR3DestCountry,0,\nIF(ISNA(H53),G53,\nIF(OR(H53=0,H53<0),G53,H53))))","v":{"$error":"#N/A"}},null,{"$f":"K$56*K59","v":{"$error":"#N/A"}},{"$f":"IF(TR3OgCountry=TR3DestCountry,0,\nIF(L$26=\"User input\",L29,\nIF(L$39=\"User input\",L35,                                                                                                                                                                                                                                                IF(L$50=\"User input\",L46,K53))))","v":{"$error":"#N/A"}},{"$f":"IF($L$20=\"Unmotorized\",0,\nIF(ISNA(L53),K53,\nIF(OR(L53=0,L53<0),K53,L53)))","v":{"$error":"#N/A"}}]
[null,"Transport Emission Factor - CH4 (kgCO2e/tonne.km)",{"$f":"C$56*C60","v":{"$error":"#N/A"}},{"$f":"IF(D$26=\"User input\",D30,\nIF(D$39=\"User input\",D36,                                                                                                                                                                                                                                                IF(D$50=\"User input\",D47,C54)))","v":{"$error":"#N/A"}},{"$f":"IF(D20=\"Unmotorized\",0,\nIF(ISNA(D54),C54,\nIF(OR(D54=0,D54<0),C54,D54)))","v":{"$error":"#N/A"}},null,{"$f":"G$56*G60","v":{"$error":"#N/A"}},{"$f":"IF(TR3OgCountry=TR3DestCountry,0,\nIF(H$26=\"User input\",H30,\nIF(H$39=\"User input\",H36,                                                                                                                                                                                                                                                IF(H$50=\"User input\",H47,G54))))","v":{"$error":"#N/A"}},{"$f":"IF(H20=\"Unmotorized\",0,\nIF(TR3OgCountry=TR3DestCountry,0,\nIF(ISNA(H54),G54,\nIF(OR(H54=0,H54<0),G54,H54))))","v":{"$error":"#N/A"}},null,{"$f":"K$56*K60","v":{"$error":"#N/A"}},{"$f":"IF(TR3OgCountry=TR3DestCountry,0,\nIF(L$26=\"User input\",L30,\nIF(L$39=\"User input\",L36,                                                                                                                                                                                                                                                IF(L$50=\"User input\",L47,K54))))","v":{"$error":"#N/A"}},{"$f":"IF($L$20=\"Unmotorized\",0,\nIF(ISNA(L54),K54,\nIF(OR(L54=0,L54<0),K54,L54)))","v":{"$error":"#N/A"}}]
[null,"Transport Emission Factor - N2O (kgCO2e/tonne.km)",{"$f":"C$56*C61","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"IF(D20=\"Unmotorized\",0,\nIF(ISNA(D55),C55,\nIF(OR(D55=0,D55<0),C55,D55)))","v":{"$error":"#N/A"}},null,{"$f":"G$56*G61","v":{"$error":"#N/A"}},{"$f":"IF(TR3OgCountry=TR3DestCountry,0,\nIF(H$26=\"User input\",H31,\nIF(H$39=\"User input\",H37,                                                                                                                                                                                                                                                IF(H$50=\"User input\",H48,G55))))","v":{"$error":"#N/A"}},{"$f":"IF(H20=\"Unmotorized\",0,\nIF(TR3OgCountry=TR3DestCountry,0,\nIF(ISNA(H55),G55,\nIF(OR(H55=0,H55<0),G55,H55))))","v":{"$error":"#N/A"}},null,{"$f":"K$56*K61","v":{"$error":"#N/A"}},{"$f":"IF(TR3OgCountry=TR3DestCountry,0,\nIF(L$26=\"User input\",L31,\nIF(L$39=\"User input\",L37,                                                                                                                                                                                                                                                IF(L$50=\"User input\",L48,K55))))","v":{"$error":"#N/A"}},{"$error":"#N/A"}]
[null,"Transport Emission Factor - Total (kgCO2e/tonne.km)",{"$f":"(1+C24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(C20=transportEFtable[Category])*(C22=transportEFtable[Sub-category])*(C21=transportEFtable[Fuel])*(C23=transportEFtable[Refrigerated]),0))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"IF(D20=\"Unmotorized\",0,\nIFERROR(IF(C56<>D56,D56,C56),C56))","v":{"$error":"#N/A"}},null,{"$f":"(1+G24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(G20=transportEFtable[Category])*(G22=transportEFtable[Sub-category])*(G21=transportEFtable[Fuel])*(G23=transportEFtable[Refrigerated]),0))","v":{"$error":"#N/A"}},{"$f":"IF(TR3OgCountry=TR3DestCountry,0,\nIF(H$26=\"User input\",H32,\nIF(H$39=\"User input\",H38,                                                                                                                                                                                                                                                IF(H$50=\"User input\",H49,G56))))","v":{"$error":"#N/A"}},{"$f":"IF(H20=\"Unmotorized\",0,\nIF(TR3OgCountry=TR3DestCountry,0,\nIFERROR(IF(G56<>H56,H56,G56),G56)))","v":{"$error":"#N/A"}},null,{"$f":"(1+K24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(K20=transportEFtable[Category])*(K22=transportEFtable[Sub-category])*(K21=transportEFtable[Fuel])*(K23=transportEFtable[Refrigerated]),0))","v":{"$error":"#N/A"}},{"$f":"IF(TR3OgCountry=TR3DestCountry,0,\nIF(L$26=\"User input\",L32,\nIF(L$39=\"User input\",L38,                                                                                                                                                                                                                                                IF(L$50=\"User input\",L49,K56))))","v":{"$error":"#N/A"}},{"$error":"#N/A"}]
[]
[null,"Calculate distribution of CO2e by GHG"]
[null,"CO2 (%)",1,1,1,null,1,1,1,null,1,1,1]
[null,"CH4 (%)",0,0,0,null,0,0,0,null,0,0,0]
[null,"N2O (%)",0,0,0,null,0,0,0,null,0,0,0]

{"sheet":"TR-4","index":30,"n_rows":61,"n_cols":13,"rows_kept":61,"cut":false,"hidden":true,"merged":[[16,10,16,12],[16,2,16,4],[16,6,16,8]]}
[]
[null,"TRANSPORT 4 emission calculations"]
[null,"Transport stage:","Transport 4"]
[]
[null,"Origin country",{"$f":"INDEX('Country-selector'!$F$22:$F$28,MATCH($C$3,'Country-selector'!$E$22:$E$28,0))","v":{"$error":"#N/A"}}]
[null,"Origin region",{"$f":"INDEX(Countries[Region],MATCH(TR4OgCountry,Countries[Country],0))","v":{"$error":"#N/A"}}]
[null,"Destination country",{"$f":"INDEX('Country-selector'!$H$22:$H$28,MATCH($C$3,'Country-selector'!$E$22:$E$28,0))","v":{"$error":"#N/A"}}]
[null,"Destination region",{"$f":"INDEX(Countries[Region],MATCH(TR4DestCountry,Countries[Country],0))","v":{"$error":"#N/A"}}]
[null,"Same Origin and destination region?",{"$f":"TR4DestReg=TR4OgReg","v":{"$error":"#N/A"}}]
[]
[null,"CO2 emissions per tonne (tCO2e)",{"$f":"(E53/1000*E19\n+I53/1000*I19\n+M53/1000*M19)","v":{"$error":"#N/A"}}]
[null,"CH4 emissions per tonne (tCO2e)",{"$f":"(E54/1000*E19\n+I54/1000*I19\n+M54/1000*M19)","v":{"$error":"#N/A"}}]
[null,"N2O emissions per tonne (tCO2e)",{"$f":"(E55/1000*E19\n+I55/1000*I19\n+M55/1000*M19)","v":{"$error":"#N/A"}}]
[null,"Total emissions per tonne (tCO2e)",{"$f":"SUM(C11:C13)","v":{"$error":"#N/A"}}]
[]
[]
[null,null,"Sub-stage within Origin country",null,null,null,"Sub-stage in between Origin and Destination countries",null,null,null,"Sub-stage within Destination country"]
[null,"Transport inputs","Default","Advanced inputs\nb) transportation mode","Final Selection",null,"Default","Advanced inputs\nb) transportation mode","Final Selection",null,"Default","Advanced inputs\nb) transportation mode","Final Selection"]
[null,"Distance (km) - preliminary input",{"$f":"INDEX('TR-Road-dist'!$I$8:$I$167,MATCH(TR4OgCountry,'TR-Road-dist'!$B$8:$B$167,0))\n/INDEX('Country-selector'!$C$36:$C$40,MATCH(TR4OgCountry,'Country-selector'!$B$36:$B$40,0))","v":{"$error":"#N/A"}},{"$f":"transport4UserDistance1","v":0},{"$f":"IF(ISNA(D19),C19,\nIF(OR(D19=0,D19<0),C19,D19))","v":{"$error":"#N/A"}},null,{"$f":"IF(TR4OgCountry=TR4DestCountry,0,\nIF(OR(C9<>TRUE,AND(TR4OgReg=TR4DestReg,TR4OgReg=\"Africa\"),AND(TR4OgReg=TR4DestReg,TR4OgReg=\"Latin America and Caribbean\"),AND(TR4OgReg=TR4DestReg,TR4OgReg=\"South Asia\"),AND(TR4OgReg=TR4DestReg,TR4OgReg=\"East Asia and Pacific\")),\nINDEX(ShippingSeaDistances[IFC Tool: Sea distance for in between countries shipping (km)],MATCH(_xlfn.CONCAT(TR4OgCountry,TR4DestCountry),ShippingSeaDistances[IFC Tool: concatenate Origin country and Destination country],0)),\nINDEX(IntraRegionalDistances[Road Distance (km)],MATCH($C$3,IntraRegionalDistances[Transport step],0))))","v":{"$error":"#N/A"}},{"$f":"transport4UserDistance2","v":0},{"$f":"IF(ISNA(H19),G19,\nIF(OR(H19=0,H19<0),G19,H19))","v":{"$error":"#N/A"}},null,{"$f":"IF(TR4OgCountry=TR4DestCountry,0,\nINDEX('TR-Road-dist'!$I$8:$I$167,MATCH(TR4DestCountry,'TR-Road-dist'!$B$8:$B$167,0))/INDEX('Country-selector'!$C$36:$C$40,MATCH(TR4DestCountry,'Country-selector'!$B$36:$B$40,0)))","v":{"$error":"#N/A"}},{"$f":"IF(TR4OgCountry=TR4DestCountry,0,transport4UserDistance3)","v":{"$error":"#N/A"}},{"$f":"IF(ISNA(L19),K19,\nIF(OR(L19=0,L19<0),K19,L19))","v":{"$error":"#N/A"}}]
[null,"Transport mode","Truck",{"$f":"Interface!C184","v":0},null,null,{"$f":"IF(TR4OgCountry=TR4DestCountry,0,\nIF(AND(TR4OgReg=TR4DestReg,OR(TR4DestReg=\"Africa\",TR4DestReg=\"Latin America and Caribbean\",TR4DestReg=\"South Asia\",TR4DestReg=\"East Asia and Pacific\")),\"Ship\",\nIF(AND(TR4OgReg=TR4DestReg,OR(TR4DestReg=\"Europe and Central Asia\",TR4DestReg=\"Middle East and North Africa\",TR4DestReg=\"North America\")),\"Truck\",\"Ship\")))","v":{"$error":"#N/A"}},{"$f":"Interface!D184","v":0},null,null,"Truck",{"$f":"Interface!E184","v":0}]
[null,"Fuel type","Diesel",{"$f":"Interface!C185","v":0},null,null,{"$f":"IF(G$20=\"Truck\",$C21,\"Not applicable\")","v":{"$error":"#N/A"}},{"$f":"Interface!D185","v":0},null,null,"Diesel",{"$f":"Interface!E185","v":0}]
[null,"Category",{"$f":"IF(C23=\"No\",\"Average (all trucks)\",\"All HGVs\")","v":{"$error":"#N/A"}},{"$f":"Interface!C186","v":0},null,null,{"$f":"IF(G$20=\"Truck\",$C22,\"General cargo (average)\")","v":{"$error":"#N/A"}},{"$f":"Interface!D186","v":0},null,null,{"$f":"IF(K23=\"No\",\"Average (all trucks)\",\"All HGVs\")","v":{"$error":"#N/A"}},{"$f":"Interface!E186","v":0}]
[null,"Temperature control",{"$f":"IF(INDEX(isChilledTable[Chilled?],MATCH(commodity,isChilledTable[Crop],0))=\"y\",\"Yes\",\"No\")","v":{"$error":"#N/A"}},{"$f":"Interface!C187","v":0},null,null,{"$f":"IF(INDEX(isChilledTable[Chilled?],MATCH(commodity,isChilledTable[Crop],0))=\"y\",\"Yes\",\"No\")","v":{"$error":"#N/A"}},{"$f":"Interface!D187","v":0},null,null,{"$f":"IF(INDEX(isChilledTable[Chilled?],MATCH(commodity,isChilledTable[Crop],0))=\"y\",\"Yes\",\"No\")","v":{"$error":"#N/A"}},{"$f":"Interface!E187","v":0}]
[null,"Adjustment for road conditions (%)",{"$f":"INDEX(RoadConditionTable[Adjustment],MATCH(TR4OgCountry,RoadConditionTable[Country],0))","v":{"$error":"#N/A"}},{"$f":"IF(OR(D20=\"Truck\",D20=\"Van\"),INDEX(RoadConditionsAdj[Adjustment],MATCH(Interface!$C188,RoadConditionsAdj[Road conditions],0)),0)","v":0},null,null,{"$f":"IF(G$20=\"Truck\",$C24,0)","v":{"$error":"#N/A"}},{"$f":"IF(OR(H20=\"Truck\",H20=\"Van\"),INDEX(RoadConditionsAdj[Adjustment],MATCH(Interface!$D188,RoadConditionsAdj[Road conditions],0)),0)","v":0},null,null,{"$f":"INDEX(RoadConditionTable[Adjustment],MATCH(TR4DestCountry,RoadConditionTable[Country],0))","v":{"$error":"#N/A"}},{"$f":"IF(OR(L20=\"Truck\",L20=\"Van\"),INDEX(RoadConditionsAdj[Adjustment],MATCH(Interface!$E188,RoadConditionsAdj[Road conditions],0)),0)","v":0}]
[null,"Fuel type input list reference",{"$f":"C20&\"Fuel\"","v":"TruckFuel"},{"$f":"D20&\"Fuel\"","v":"0Fuel"},null,null,{"$f":"G20&\"Fuel\"","v":{"$error":"#N/A"}},{"$f":"H20&\"Fuel\"","v":"0Fuel"},null,null,{"$f":"K20&\"Fuel\"","v":"TruckFuel"},{"$f":"L20&\"Fuel\"","v":"0Fuel"}]
[null,"Is it using Default or User input value?",null,{"$f":"IF(OR(D20<>C20,D21<>C21,D22<>C22,D23<>C23),\"User Input\",\"Default\")","v":{"$error":"#N/A"}},null,null,null,{"$f":"IF(OR(H20<>G20,H21<>G21,H22<>G22,H23<>G23),\"User Input\",\"Default\")","v":{"$error":"#N/A"}},null,null,null,{"$f":"IF(OR(L20<>K20,L21<>K21,L22<>K22,L23<>K23),\"User Input\",\"Default\")","v":{"$error":"#N/A"}}]
[]
[null,"Preliminary EFs",{"$f":"C$18","v":"Default"},"Advanced inputs\nb) transportation mode",null,null,{"$f":"G$18","v":"Default"},"Advanced inputs\nb) transportation mode",null,null,{"$f":"K$18","v":"Default"},"Advanced inputs\nb) transportation mode"]
[null,"Transport Emission Factor - CO2 (kgCO2e/tonne.km)",{"$f":"C$32*C59","v":{"$error":"#N/A"}},{"$error":"#N/A"},null,null,{"$f":"G$32*G59","v":{"$error":"#N/A"}},{"$error":"#N/A"},null,null,{"$f":"K$32*K59","v":{"$error":"#N/A"}},{"$error":"#N/A"}]
[null,"Transport Emission Factor - CH4 (kgCO2e/tonne.km)",{"$error":"#N/A"},{"$error":"#N/A"},null,null,{"$error":"#N/A"},{"$error":"#N/A"},null,null,{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"Transport Emission Factor - N2O (kgCO2e/tonne.km)",{"$error":"#N/A"},{"$error":"#N/A"},null,null,{"$error":"#N/A"},{"$error":"#N/A"},null,null,{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"Transport Emission Factor - Total (kgCO2e/tonne.km)",{"$f":"(1+C24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(C20=transportEFtable[Category])*(C22=transportEFtable[Sub-category])*(C21=transportEFtable[Fuel])*(C23=transportEFtable[Refrigerated]),0))","v":{"$error":"#N/A"}},{"$f":"IF(D20=\"Unmotorized\",0,\n(1+D24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(D20=transportEFtable[Category])*(D22=transportEFtable[Sub-category])*(D21=transportEFtable[Fuel])*(D23=transportEFtable[Refrigerated]),0)))","v":{"$error":"#N/A"}},null,null,{"$f":"(1+G24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(G20=transportEFtable[Category])*(G22=transportEFtable[Sub-category])*(G21=transportEFtable[Fuel])*(G23=transportEFtable[Refrigerated]),0))","v":{"$error":"#N/A"}},{"$f":"IF(H20=\"Unmotorized\",0,\n(1+H24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(H20=transportEFtable[Category])*(H22=transportEFtable[Sub-category])*(H21=transportEFtable[Fuel])*(H23=transportEFtable[Refrigerated]),0)))","v":{"$error":"#N/A"}},null,null,{"$f":"(1+K24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(K20=transportEFtable[Category])*(K22=transportEFtable[Sub-category])*(K21=transportEFtable[Fuel])*(K23=transportEFtable[Refrigerated]),0))","v":{"$error":"#N/A"}},{"$f":"IF(L20=\"Unmotorized\",0,\n(1+L24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(L20=transportEFtable[Category])*(L22=transportEFtable[Sub-category])*(L21=transportEFtable[Fuel])*(L23=transportEFtable[Refrigerated]),0)))","v":{"$error":"#N/A"}}]
[]
[null,{"$f":"\"Emission factors based on user input - \"&'TR-Lists'!F14","v":"Emission factors based on user input - Trip emissions (kg CO2e/tonne.km)"},{"$f":"C$18","v":"Default"},"Advanced inputs\na) EF - trip emissions",null,null,{"$f":"G$18","v":"Default"},"Advanced inputs\na) EF - trip emissions",null,null,{"$f":"K$18","v":"Default"},"Advanced inputs\na) EF - trip emissions"]
[null,"Transport Emission Factor - CO2 (kgCO2e/tonne.km)",null,{"$f":"D$38*D59","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H$38*H59","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L$38*L59","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - CH4 (kgCO2e/tonne.km)",null,{"$f":"D$38*D60","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H$38*H60","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L$38*L60","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - N2O (kgCO2e/tonne.km)",null,{"$f":"D$38*D61","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H$38*H61","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L$38*L61","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - Total (kgCO2e/tonne.km)",null,{"$f":"IF(transport4TypeSelection1='TR-Lists'!$F$14,D32,\"\")","v":""},null,null,null,{"$f":"IF(transport4TypeSelection2='TR-Lists'!$F$14,transport4CO22,\"\")","v":""},null,null,null,{"$f":"IF(transport4TypeSelection3='TR-Lists'!$F$14,transport4CO23,\"\")","v":""}]
[null,"Is it using Default or User input value?",null,{"$f":"IF(AND(transport4TypeSelection1='TR-Lists'!$F$14,transport4CO21<>C56,D26<>\"User Input\"),\"User Input\",\"Default\")","v":{"$error":"#N/A"}},null,null,null,{"$f":"IF(AND(transport4TypeSelection2='TR-Lists'!$F$14,transport4CO22<>G56,H26<>\"User Input\"),\"User Input\",\"Default\")","v":{"$error":"#N/A"}},null,null,null,{"$f":"IF(AND(transport4TypeSelection3='TR-Lists'!$F$14,transport4CO23<>K56,L26<>\"User Input\"),\"User Input\",\"Default\")","v":{"$error":"#N/A"}}]
[]
[null,{"$f":"\"Emission factors based on user input - \"&'TR-Lists'!F15","v":"Emission factors based on user input - Fuel efficiency (l/100km)"},{"$f":"C$18","v":"Default"},"Advanced inputs\na) EF - fuel efficiency",null,null,{"$f":"G$18","v":"Default"},"Advanced inputs\na) EF - fuel efficiency",null,null,{"$f":"K$18","v":"Default"},"Advanced inputs\na) EF - fuel efficiency"]
[null,"l/100km",null,{"$f":"IF(transport4TypeSelection1='TR-Lists'!$F$15,transport4CO21,\"\")","v":""},null,null,null,{"$f":"IF(transport4TypeSelection2='TR-Lists'!$F$15,transport4CO22,\"\")","v":""},null,null,null,{"$f":"IF(transport4TypeSelection3='TR-Lists'!$F$15,transport4CO23,\"\")","v":""}]
[null,"tonnes (based on typical gross HGV weight)",null,18.25,null,null,null,18.25,null,null,null,18.25,"Based on typical gross HGV weight"]
[null,"kgCO2/l (BEIS 2024 (UK) 100% mineral diesel emission factor)",null,{"$f":"3.286","v":3.286},null,null,null,{"$f":"3.286","v":3.286},null,null,null,{"$f":"3.286","v":3.286},"BEIS (UK) diesel emission factor"]
[null,"kgCO2/km",null,{"$f":"D44*(D42/100)","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H44*(H42/100)","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L44*(L42/100)","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - CO2 (kgCO2e/tonne.km)",null,{"$f":"D$49*D59","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H$49*H59","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L$49*L59","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - CH4 (kgCO2e/tonne.km)",null,{"$f":"D$49*D60","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H$49*H60","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L$49*L60","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - N2O (kgCO2e/tonne.km)",null,{"$f":"D$49*D61","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"H$49*H61","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"L$49*L61","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - Total (kgCO2e/tonne.km)",null,{"$f":"(D45/D43)+50%*(D45/D43)","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"(H45/H43)+50%*(H45/H43)","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"(L45/L43)+50%*(L45/L43)","v":{"$error":"#VALUE!"}}]
[null,"Is it using Default or User input value?",null,{"$f":"IF(transport4TypeSelection1='TR-Lists'!$F$15,\"User Input\",\"Default\")","v":"Default"},null,null,null,{"$f":"IF(transport4TypeSelection2='TR-Lists'!$F$15,\"User Input\",\"Default\")","v":"Default"},null,null,null,{"$f":"IF(transport4TypeSelection3='TR-Lists'!$F$15,\"User Input\",\"Default\")","v":"Default"}]
[]
[null,null,{"$f":"C$18","v":"Default"},"Advanced inputs","Final Selection",null,{"$f":"G$18","v":"Default"},"Advanced inputs","Final Selection",null,{"$f":"K$18","v":"Default"},"Advanced inputs","Final Selection"]
[null,"Transport Emission Factor - CO2 (kgCO2e/tonne.km)",{"$f":"C$56*C59","v":{"$error":"#N/A"}},{"$f":"IF(D$26=\"User input\",D29,\nIF(D$39=\"User input\",D35,                                                                                                                                                                                                                                                IF(D$50=\"User input\",D46,C53)))","v":{"$error":"#N/A"}},{"$f":"IF(D20=\"Unmotorized\",0,\nIF(ISNA(D53),C53,\nIF(OR(D53=0,D53<0),C53,D53)))","v":{"$error":"#N/A"}},null,{"$f":"G$56*G59","v":{"$error":"#N/A"}},{"$f":"IF(TR4OgCountry=TR4DestCountry,0,\nIF(H$26=\"User input\",H29,\nIF(H$39=\"User input\",H35,                                                                                                                                                                                                                                                IF(H$50=\"User input\",H46,G53))))","v":{"$error":"#N/A"}},{"$f":"IF(H20=\"Unmotorized\",0,\nIF(TR4OgCountry=TR4DestCountry,0,\nIF(ISNA(H53),G53,\nIF(OR(H53=0,H53<0),G53,H53))))","v":{"$error":"#N/A"}},null,{"$f":"K$56*K59","v":{"$error":"#N/A"}},{"$f":"IF(TR4OgCountry=TR4DestCountry,0,\nIF(L$26=\"User input\",L29,\nIF(L$39=\"User input\",L35,                                                                                                                                                                                                                                                IF(L$50=\"User input\",L46,K53))))","v":{"$error":"#N/A"}},{"$f":"IF($L$20=\"Unmotorized\",0,\nIF(ISNA(L53),K53,\nIF(OR(L53=0,L53<0),K53,L53)))","v":{"$error":"#N/A"}}]
[null,"Transport Emission Factor - CH4 (kgCO2e/tonne.km)",{"$f":"C$56*C60","v":{"$error":"#N/A"}},{"$f":"IF(D$26=\"User input\",D30,\nIF(D$39=\"User input\",D36,                                                                                                                                                                                                                                                IF(D$50=\"User input\",D47,C54)))","v":{"$error":"#N/A"}},{"$f":"IF(D20=\"Unmotorized\",0,\nIF(ISNA(D54),C54,\nIF(OR(D54=0,D54<0),C54,D54)))","v":{"$error":"#N/A"}},null,{"$f":"G$56*G60","v":{"$error":"#N/A"}},{"$f":"IF(TR4OgCountry=TR4DestCountry,0,\nIF(H$26=\"User input\",H30,\nIF(H$39=\"User input\",H36,                                                                                                                                                                                                                                                IF(H$50=\"User input\",H47,G54))))","v":{"$error":"#N/A"}},{"$f":"IF(H20=\"Unmotorized\",0,IF(TR4OgCountry=TR4DestCountry,0,\nIF(ISNA(H54),G54,\nIF(OR(H54=0,H54<0),G54,H54))))","v":{"$error":"#N/A"}},null,{"$f":"K$56*K60","v":{"$error":"#N/A"}},{"$f":"IF(TR4OgCountry=TR4DestCountry,0,\nIF(L$26=\"User input\",L30,\nIF(L$39=\"User input\",L36,                                                                                                                                                                                                                                                IF(L$50=\"User input\",L47,K54))))","v":{"$error":"#N/A"}},{"$f":"IF($L$20=\"Unmotorized\",0,\nIF(ISNA(L54),K54,\nIF(OR(L54=0,L54<0),K54,L54)))","v":{"$error":"#N/A"}}]
[null,"Transport Emission Factor - N2O (kgCO2e/tonne.km)",{"$f":"C$56*C61","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"IF(D20=\"Unmotorized\",0,\nIF(ISNA(D55),C55,\nIF(OR(D55=0,D55<0),C55,D55)))","v":{"$error":"#N/A"}},null,{"$f":"G$56*G61","v":{"$error":"#N/A"}},{"$f":"IF(TR4OgCountry=TR4DestCountry,0,\nIF(H$26=\"User input\",H31,\nIF(H$39=\"User input\",H37,                                                                                                                                                                                                                                                IF(H$50=\"User input\",H48,G55))))","v":{"$error":"#N/A"}},{"$f":"IF(H20=\"Unmotorized\",0,IF(TR4OgCountry=TR4DestCountry,0,\nIF(ISNA(H55),G55,\nIF(OR(H55=0,H55<0),G55,H55))))","v":{"$error":"#N/A"}},null,{"$f":"K$56*K61","v":{"$error":"#N/A"}},{"$f":"IF(TR4OgCountry=TR4DestCountry,0,\nIF(L$26=\"User input\",L31,\nIF(L$39=\"User input\",L37,                                                                                                                                                                                                                                                IF(L$50=\"User input\",L48,K55))))","v":{"$error":"#N/A"}},{"$error":"#N/A"}]
[null,"Transport Emission Factor - Total (kgCO2e/tonne.km)",{"$f":"(1+C24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(C20=transportEFtable[Category])*(C22=transportEFtable[Sub-category])*(C21=transportEFtable[Fuel])*(C23=transportEFtable[Refrigerated]),0))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"IF(D20=\"Unmotorized\",0,\nIFERROR(IF(C56<>D56,D56,C56),C56))","v":{"$error":"#N/A"}},null,{"$f":"(1+G24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(G20=transportEFtable[Category])*(G22=transportEFtable[Sub-category])*(G21=transportEFtable[Fuel])*(G23=transportEFtable[Refrigerated]),0))","v":{"$error":"#N/A"}},{"$f":"IF(TR4OgCountry=TR4DestCountry,0,\nIF(H$26=\"User input\",H32,\nIF(H$39=\"User input\",H38,                                                                                                                                                                                                                                                IF(H$50=\"User input\",H49,G56))))","v":{"$error":"#N/A"}},{"$f":"IF(H20=\"Unmotorized\",0,IF(TR4OgCountry=TR4DestCountry,0,\nIFERROR(IF(G56<>H56,H56,G56),G56)))","v":{"$error":"#N/A"}},null,{"$f":"(1+K24)*INDEX(transportEFtable[Total kg CO2e],MATCH(1,(K20=transportEFtable[Category])*(K22=transportEFtable[Sub-category])*(K21=transportEFtable[Fuel])*(K23=transportEFtable[Refrigerated]),0))","v":{"$error":"#N/A"}},{"$f":"IF(TR4OgCountry=TR4DestCountry,0,\nIF(L$26=\"User input\",L32,\nIF(L$39=\"User input\",L38,                                                                                                                                                                                                                                                IF(L$50=\"User input\",L49,K56))))","v":{"$error":"#N/A"}},{"$error":"#N/A"}]
[]
[null,"Calculate distribution of CO2e by GHG"]
[null,"CO2 (%)",1,1,1,null,1,1,1,null,1,1,1]
[null,"CH4 (%)",0,0,0,null,0,0,0,null,0,0,0]
[null,"N2O (%)",0,0,0,null,0,0,0,null,0,0,0]

{"sheet":"TR-Lists","index":31,"n_rows":75,"n_cols":17,"rows_kept":75,"cut":false,"hidden":true,"merged":[]}
[]
[null,null,null,null,null,"Drop-down lists for user inputs",null,null,"Drop-down lists for size"]
[null,"Transport model selector",null,"Fuel selector",null,"Transport mode",null,null,"TruckDiesel",null,"Parameter","Ship","Truck","Rail","Van","Unmotorized","Freight Flight"]
[null,null,null,null,null,null,null,null,"Class I (up to 1.305 tonnes)",null,"Transport sub-category",{"$f":"B44","v":"General cargo (Average)"},{"$f":"B19","v":"Average (all trucks)"},{"$f":"Rail[Rail list]","v":"Freight train"},{"$f":"B9","v":"Average (up to 3.5 tonnes)"},{"$f":"UnmotorizedFuel[Unmotorized]","v":"Not applicable"},{"$f":"B28","v":"Long-haul"}]
[null,"Van List",null,"Van",null,"Van",null,null,"Class II (1.305 to 1.74 tonnes)",null,"Fuel type",{"$f":"ShipFuel[Ship]","v":"Not applicable"},{"$f":"TruckFuel[Truck]","v":"Diesel"},{"$f":"RailFuel[Rail]","v":"Not applicable"},{"$f":"D6","v":"Diesel"},{"$f":"UnmotorizedFuel[Unmotorized]","v":"Not applicable"},{"$f":"FreightFlightFuel[Freight Flight]","v":"Not Applicable"}]
[null,"Class I (up to 1.305 tonnes)",null,"Diesel",null,"Truck",null,null,"Class III (1.74 to 3.5 tonnes)",null,"Temperature control",{"$f":"IF(commodityGroup=\"Animal Protein\", \"Yes\", \"No\")","v":"No"},{"$f":"IF(commodityGroup=\"Animal Protein\", \"Yes\", \"No\")","v":"No"},{"$f":"IF(commodityGroup=\"Animal Protein\", \"Yes\", \"No\")","v":"No"},{"$f":"IF(commodityGroup=\"Animal Protein\", \"Yes\", \"No\")","v":"No"},{"$f":"UnmotorizedFuel[Unmotorized]","v":"Not applicable"},{"$f":"IF(commodityGroup=\"Animal Protein\", \"Yes\", \"No\")","v":"No"}]
[null,"Class II (1.305 to 1.74 tonnes)",null,"Petrol",null,"Rail",null,null,"Average (up to 3.5 tonnes)",null,"Road conditions",{"$f":"RoadConditions103[Road conditions NA]","v":"Not applicable"},{"$f":"F26","v":"Good"},{"$f":"RailFuel[Rail]","v":"Not applicable"},{"$f":"F26","v":"Good"},{"$f":"F26","v":"Good"},{"$f":"RoadConditions103[Road conditions NA]","v":"Not applicable"}]
[null,"Class III (1.74 to 3.5 tonnes)",null,"LPG",null,"Ship"]
[null,"Average (up to 3.5 tonnes)",null,"CNG",null,"Freight Flight",null,null,"TruckPetrol"]
[null,null,null,null,null,"Unmotorized",null,null,"Class I (up to 1.305 tonnes)"]
[null,"Truck list",null,"Truck",null,null,null,null,"Class II (1.305 to 1.74 tonnes)"]
[null,"Rigid (>3.5 - 7.5 tonnes)",null,"Diesel",null,"EF type",null,null,"Class III (1.74 to 3.5 tonnes)"]
[null,"Rigid (>7.5 - 17 tonnes)",null,null,null,null,null,null,"Average (up to 3.5 tonnes)"]
[null,"Rigid (>17 tonnes)",null,null,null,"Trip emissions (kg CO2e/tonne.km)"]
[null,"Average (all rigids)",null,null,null,"Fuel efficiency (l/100km)",null,null,"TruckLPG"]
[null,"Articulated (>3.5 - 33 tonnes)",null,null,null,null,null,null,"Average (up to 3.5 tonnes)"]
[null,"Articulated (>33 tonnes)",null,null,null,"Temperature"]
[null,"Average (all artics)",null,null,null,null,null,null,"TruckCNG"]
[null,"Average (all trucks)",null,null,null,"No",null,null,"Average (up to 3.5 tonnes)"]
[null,null,null,null,null,"Yes"]
[null,"Rail list",null,"Rail",null,null,null,null,"RailNotApplicable"]
[null,"Freight train",null,"Not applicable",null,"Road conditions",null,null,"Freight train"]
[]
[null,"Flight list",null,"Freight Flight",null,"Excellent"]
[null,"Domestic",null,"Not Applicable",null,"Very good"]
[null,"International",null,null,null,"Good"]
[null,"Short-haul",null,null,null,"Fair",null,null,"HGVDiesel"]
[null,"Long-haul",null,null,null,"Poor",null,null,"Rigid (>3.5 - 7.5 tonnes)"]
[null,null,null,null,null,"Very poor",null,null,"Rigid (>7.5 - 17 tonnes)"]
[null,"Ship",null,"Ship",null,null,null,null,"Rigid (>17 tonnes)"]
[null,"Bulk carrier (200,000+ dwt)",null,"Not applicable",null,"Road conditions NA",null,null,"Average (all rigids)"]
[null,"Bulk carrier (100,000–199,999 dwt)",null,null,null,"Not applicable",null,null,"Articulated (>3.5 - 33 tonnes)"]
[null,"Bulk carrier (60,000–99,999 dwt)",null,null,null,null,null,null,"Articulated (>33 tonnes)"]
[null,"Bulk carrier (35,000–59,999 dwt)",null,null,null,null,null,null,"Average (all artics)"]
[null,"Bulk carrier (10,000–34,999 dwt)",null,null,null,null,null,null,"Average (all trucks)"]
[null,"Bulk carrier (0–9999 dwt)"]
[null,"Bulk carrier (Average)",null,null,null,null,null,null,"UnmotorizedNotApplicable"]
[null,"General cargo (10,000+ dwt)",null,null,null,null,null,null,"Not applicable"]
[null,"General cargo (5000–9999 dwt)"]
[null,"General cargo (0–4999 dwt)",null,null,null,null,null,null,"FreightFlightNotApplicable"]
[null,"General cargo (10,000+ dwt 100+ TEU)",null,null,null,null,null,null,"Domestic"]
[null,"General cargo (5000–9999 dwt 100+ TEU)",null,null,null,null,null,null,"Short-haul"]
[null,"General cargo (0–4999 dwt 100+ TEU)",null,null,null,null,null,null,"Long-haul"]
[null,"General cargo (Average)",null,null,null,null,null,null,"International"]
[null,"Container ship (8000+ TEU)"]
[null,"Container ship (5000–7999 TEU)",null,null,null,null,null,null,"ShipNotApplicable"]
[null,"Container ship (3000–4999 TEU)",null,null,null,null,null,null,"Bulk carrier (200,000+ dwt)"]
[null,"Container ship (2000–2999 TEU)",null,null,null,null,null,null,"Bulk carrier (100,000–199,999 dwt)"]
[null,"Container ship (1000–1999 TEU)",null,null,null,null,null,null,"Bulk carrier (60,000–99,999 dwt)"]
[null,"Container ship (0–999 TEU)",null,null,null,null,null,null,"Bulk carrier (35,000–59,999 dwt)"]
[null,"Container ship (Average)",null,null,null,null,null,null,"Bulk carrier (10,000–34,999 dwt)"]
[null,"Vehicle transport (4000+ CEU)",null,null,null,null,null,null,"Bulk carrier (0–9999 dwt)"]
[null,"Vehicle transport (0–3999 CEU)",null,null,null,null,null,null,"Bulk carrier (Average)"]
[null,"Vehicle transport (Average)",null,null,null,null,null,null,"General cargo (10,000+ dwt)"]
[null,"RoRo-Ferry (2000+ LM)",null,null,null,null,null,null,"General cargo (5000–9999 dwt)"]
[null,"RoRo-Ferry (0–1999 LM)",null,null,null,null,null,null,"General cargo (0–4999 dwt)"]
[null,"RoRo-Ferry (Average)",null,null,null,null,null,null,"General cargo (10,000+ dwt 100+ TEU)"]
[null,"Large RoPax ferry (Average)",null,null,null,null,null,null,"General cargo (5000–9999 dwt 100+ TEU)"]
[null,"Refrigerated cargo ( All dwt)",null,null,null,null,null,null,"General cargo (0–4999 dwt 100+ TEU)"]
[null,null,null,null,null,null,null,null,"General cargo (Average)"]
[null,null,null,"Unmotorized",null,null,null,null,"Container ship (8000+ TEU)"]
[null,null,null,"Not applicable",null,null,null,null,"Container ship (5000–7999 TEU)"]
[null,null,null,null,null,null,null,null,"Container ship (3000–4999 TEU)"]
[null,null,null,null,null,null,null,null,"Container ship (2000–2999 TEU)"]
[null,null,null,null,null,null,null,null,"Container ship (1000–1999 TEU)"]
[null,null,null,null,null,null,null,null,"Container ship (0–999 TEU)"]
[null,null,null,null,null,null,null,null,"Container ship (Average)"]
[null,null,null,null,null,null,null,null,"Vehicle transport (4000+ CEU)"]
[null,null,null,null,null,null,null,null,"Vehicle transport (0–3999 CEU)"]
[null,null,null,null,null,null,null,null,"Vehicle transport (Average)"]
[null,null,null,null,null,null,null,null,"RoRo-Ferry (2000+ LM)"]
[null,null,null,null,null,null,null,null,"RoRo-Ferry (0–1999 LM)"]
[null,null,null,null,null,null,null,null,"RoRo-Ferry (Average)"]
[null,null,null,null,null,null,null,null,"Large RoPax ferry (Average)"]
[null,null,null,null,null,null,null,null,"Refrigerated cargo ( All dwt)"]

{"sheet":"TR-EFs","index":32,"n_rows":135,"n_cols":10,"rows_kept":135,"cut":false,"hidden":true,"merged":[[5,5,6,5]]}
[]
[null,"BEIS Transport emission factors - main database"]
[null,"Database created based on BEIS raw data "]
[null,2024]
[]
[null,"Sum of Total kg CO2e","Refrigerated",null,null,"Increase in emissions due to refrigeration"]
[null,"Sub-category","No","Yes"]
[null,"Articulated (>3.5 - 33t)",0.14041999999999999,0.16253000000000001,null,{"$f":"D8/C8-1","v":0.15745620282011119}]
[null,"Articulated (>33t)",9.2459999999999987E-2,0.10703,null,{"$f":"D9/C9-1","v":0.15758165693272774}]
[null,"Rigid (>17 tonnes)",0.19134000000000001,0.22786999999999999,null,0.19091669279816026]
[null,"Rigid (>3.5 - 7.5 tonnes)",0.62841999999999998,0.74863999999999997,null,0.19130517806562497]
[null,"Rigid (>7.5 tonnes-17 tonnes)",0.47269,0.56318000000000001,null,0.19143624785800428]
[null,"Grand Total",1.5253300000000001,1.80925,null,0.18613677040378152]
[]
[]
[]
[]
[null,"Category","Sub-category","Unit","Fuel","Refrigerated","kg CO2e","WTT kCO2e","Total kg CO2e","Notes"]
[null,"Van","Class I (up to 1.305 tonnes)","tonne.km","Diesel","No",0.85353000000000001,0.20816999999999999,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.0617000000000001}]
[null,"Van","Class II (1.305 to 1.74 tonnes)","tonne.km","Diesel","No",0.61153000000000002,0.14937,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.76090000000000002}]
[null,"Van","Class III (1.74 to 3.5 tonnes)","tonne.km","Diesel","No",0.61363000000000001,0.15037,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.76400000000000001}]
[null,"Van","Average (up to 3.5 tonnes)","tonne.km","Diesel","No",0.61643000000000003,0.15095,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.76738000000000006}]
[null,"Van","Class I (up to 1.305 tonnes)","tonne.km","Petrol","No",1.17394,0.32846999999999998,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.50241}]
[null,"Van","Class II (1.305 to 1.74 tonnes)","tonne.km","Petrol","No",0.82738999999999996,0.23153000000000001,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.0589200000000001}]
[null,"Van","Class III (1.74 to 3.5 tonnes)","tonne.km","Petrol","No",0.86251999999999995,0.24163999999999999,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.10416}]
[null,"Van","Average (up to 3.5 tonnes)","tonne.km","Petrol","No",0.81972,0.22943,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.04915}]
[null,"Van","Average (up to 3.5 tonnes)","tonne.km","CNG","No",0.62197000000000002,0.12816,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.75012999999999996}]
[null,"Van","Average (up to 3.5 tonnes)","tonne.km","LPG","No",0.68376000000000003,8.1189999999999998E-2,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.76495000000000002}]
[null,"Van","Average (up to 3.5 tonnes)","tonne.km","Unknown","No",0.62263999999999997,0.15334999999999999,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.77598999999999996}]
[null,"Van","Class I (up to 1.305 tonnes)","tonne.km","Battery Electric Vehicle","No",0.15753,3.4810000000000001E-2,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.19234000000000001}]
[null,"Van","Class II (1.305 to 1.74 tonnes)","tonne.km","Battery Electric Vehicle","No",0.27927000000000002,6.1899999999999997E-2,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.34117000000000003}]
[null,"Van","Class III (1.74 to 3.5 tonnes)","tonne.km","Battery Electric Vehicle","No",0.23666000000000001,5.2409999999999998E-2,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.28906999999999999}]
[null,"Van","Average (up to 3.5 tonnes)","tonne.km","Battery Electric Vehicle","No",0.25438,5.6329999999999998E-2,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.31070999999999999}]
[null,"Truck","Rigid (>3.5 - 7.5 tonnes)","tonne.km","Diesel","No",0.50546000000000002,0.12296,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.62841999999999998},"Average laden"]
[null,"Truck","Rigid (>7.5 tonnes-17 tonnes)","tonne.km","Diesel","No",0.38023000000000001,9.2460000000000001E-2,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.47269},"Average laden"]
[null,"Truck","Rigid (>17 tonnes)","tonne.km","Diesel","No",0.15398000000000001,3.7359999999999997E-2,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.19134000000000001},"Average laden"]
[null,"Truck","Average (all rigids)","tonne.km","Diesel","No",0.17852999999999999,4.3319999999999997E-2,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.22184999999999999},"Average laden"]
[null,"Truck","Articulated (>3.5 - 33t)","tonne.km","Diesel","No",0.11311,2.7310000000000001E-2,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.14041999999999999},"Average laden"]
[null,"Truck","Articulated (>33t)","tonne.km","Diesel","No",7.4469999999999995E-2,1.7989999999999999E-2,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":9.2459999999999987E-2},"Average laden"]
[null,"Truck","Average (all artics)","tonne.km","Diesel","No",7.5469999999999995E-2,1.823E-2,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":9.3699999999999992E-2},"Average laden"]
[null,"Truck","Average (all trucks)","tonne.km","Diesel","No",9.7519999999999996E-2,2.359E-2,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.12111},"Average laden"]
[null,"Truck","Rigid (>3.5 - 7.5 tonnes)","tonne.km","Diesel","Yes",0.60194999999999999,0.14668999999999999,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.74863999999999997},"Average laden"]
[null,"Truck","Rigid (>7.5 tonnes-17 tonnes)","tonne.km","Diesel","Yes",0.45286999999999999,0.11031000000000001,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.56318000000000001},"Average laden"]
[null,"Truck","Rigid (>17 tonnes)","tonne.km","Diesel","Yes",0.18329999999999999,4.4569999999999999E-2,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.22786999999999999},"Average laden"]
[null,"Truck","All rigids","tonne.km","Diesel","Yes",0.21254000000000001,5.1679999999999997E-2,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.26422000000000001},"Average laden"]
[null,"Truck","Articulated (>3.5 - 33t)","tonne.km","Diesel","Yes",0.13086,3.1669999999999997E-2,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.16253000000000001},"Average laden"]
[null,"Truck","Articulated (>33t)","tonne.km","Diesel","Yes",8.6169999999999997E-2,2.086E-2,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.10703},"Average laden"]
[null,"Truck","All artics","tonne.km","Diesel","Yes",8.7319999999999995E-2,2.1139999999999999E-2,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.10846},"Average laden"]
[null,"Truck","All HGVs","tonne.km","Diesel","Yes",0.11416999999999999,2.7689999999999999E-2,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.14185999999999999},"Average laden"]
[null,"Freight Flight","Domestic","tonne.km","Not applicable","No",4.6734,0.57428999999999997,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":5.2476900000000004},"Including impact from Radiative Forcing"]
[null,"Freight Flight","Short-haul","tonne.km","Not applicable","No",1.6681600000000001,0.20515,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.87331},"Including impact from Radiative Forcing"]
[null,"Freight Flight","Long-haul","tonne.km","Not applicable","No",1.09904,0.13516,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.2342},"Including impact from Radiative Forcing"]
[null,"Freight Flight","International","tonne.km","Not applicable","No",1.09904,0.13516,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.2342},"Including impact from Radiative Forcing"]
[null,"Rail","Freight train","tonne.km","Not applicable","No",2.7789999999999999E-2,6.9100000000000003E-3,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":3.4700000000000002E-2}]
[null,"Ship","Bulk carrier (200,000+ dwt)","tonne.km","Not applicable","No",2.5300000000000001E-3,5.6999999999999998E-4,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":3.1000000000000003E-3}]
[null,"Ship","Bulk carrier (100,000–199,999 dwt)","tonne.km","Not applicable","No",3.0400000000000002E-3,6.8999999999999997E-4,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":3.7300000000000002E-3}]
[null,"Ship","Bulk carrier (60,000–99,999 dwt)","tonne.km","Not applicable","No",4.15E-3,9.3999999999999997E-4,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":5.0899999999999999E-3}]
[null,"Ship","Bulk carrier (35,000–59,999 dwt)","tonne.km","Not applicable","No",5.77E-3,1.31E-3,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":7.0799999999999995E-3}]
[null,"Ship","Bulk carrier (10,000–34,999 dwt)","tonne.km","Not applicable","No",8.0000000000000002E-3,1.81E-3,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":9.8099999999999993E-3}]
[null,"Ship","Bulk carrier (0–9999 dwt)","tonne.km","Not applicable","No",2.9559999999999999E-2,6.7000000000000002E-3,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":3.6260000000000001E-2}]
[null,"Ship","Bulk carrier (Average)","tonne.km","Not applicable","No",3.5300000000000002E-3,8.0000000000000004E-4,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":4.3300000000000005E-3}]
[null,"Ship","General cargo (10,000+ dwt)","tonne.km","Not applicable","No",1.204E-2,2.7299999999999998E-3,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.477E-2}]
[null,"Ship","General cargo (5000–9999 dwt)","tonne.km","Not applicable","No",1.6E-2,3.63E-3,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.9630000000000002E-2}]
[null,"Ship","General cargo (0–4999 dwt)","tonne.km","Not applicable","No",1.4069999999999999E-2,3.1900000000000001E-3,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.7259999999999998E-2}]
[null,"Ship","General cargo (10,000+ dwt 100+ TEU)","tonne.km","Not applicable","No",1.1129999999999999E-2,2.5300000000000001E-3,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.3659999999999999E-2}]
[null,"Ship","General cargo (5000–9999 dwt 100+ TEU)","tonne.km","Not applicable","No",1.772E-2,4.0200000000000001E-3,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":2.1739999999999999E-2}]
[null,"Ship","General cargo (0–4999 dwt 100+ TEU)","tonne.km","Not applicable","No",2.0049999999999998E-2,4.5500000000000002E-3,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":2.4599999999999997E-2}]
[null,"Ship","General cargo (Average)","tonne.km","Not applicable","No",1.321E-2,3.0000000000000001E-3,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.6209999999999999E-2}]
[null,"Ship","Container ship (8000+ TEU)","tonne.km","Not applicable","No",1.265E-2,2.8700000000000002E-3,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.5519999999999999E-2}]
[null,"Ship","Container ship (5000–7999 TEU)","tonne.km","Not applicable","No",1.6809999999999999E-2,3.81E-3,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":2.0619999999999999E-2}]
[null,"Ship","Container ship (3000–4999 TEU)","tonne.km","Not applicable","No",1.6809999999999999E-2,3.81E-3,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":2.0619999999999999E-2}]
[null,"Ship","Container ship (2000–2999 TEU)","tonne.km","Not applicable","No",2.0250000000000001E-2,4.5900000000000003E-3,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":2.4840000000000001E-2}]
[null,"Ship","Container ship (1000–1999 TEU)","tonne.km","Not applicable","No",3.2500000000000001E-2,7.3699999999999998E-3,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":3.9870000000000003E-2}]
[null,"Ship","Container ship (0–999 TEU)","tonne.km","Not applicable","No",3.6749999999999998E-2,8.3300000000000006E-3,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":4.5079999999999995E-2}]
[null,"Ship","Container ship (Average)","tonne.km","Not applicable","No",1.6119999999999999E-2,3.65E-3,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.9769999999999999E-2}]
[null,"Ship","Vehicle transport (4000+ CEU)","tonne.km","Not applicable","No",3.2399999999999998E-2,7.3499999999999998E-3,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":3.9750000000000001E-2}]
[null,"Ship","Vehicle transport (0–3999 CEU)","tonne.km","Not applicable","No",5.8319999999999997E-2,1.3220000000000001E-2,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":7.1539999999999992E-2}]
[null,"Ship","Vehicle transport (Average)","tonne.km","Not applicable","No",3.8519999999999999E-2,8.7299999999999999E-3,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":4.725E-2}]
[null,"Ship","RoRo-Ferry (2000+ LM)","tonne.km","Not applicable","No",5.0119999999999998E-2,1.136E-2,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":6.148E-2}]
[null,"Ship","RoRo-Ferry (0–1999 LM)","tonne.km","Not applicable","No",6.105E-2,1.384E-2,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":7.4889999999999998E-2}]
[null,"Ship","RoRo-Ferry (Average)","tonne.km","Not applicable","No",5.1589999999999997E-2,1.17E-2,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":6.3289999999999999E-2}]
[null,"Ship","Large RoPax ferry (Average)","tonne.km","Not applicable","No",0.37612000000000001,8.5279999999999995E-2,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.46140000000000003}]
[null,"Ship","Refrigerated cargo ( All dwt)","tonne.km","Not applicable","No",1.306E-2,2.96E-3,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.602E-2}]
[null,"Van","Class I (up to 1.305 tonnes)","tonne.km","Diesel","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C84&$E84,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":1.0124033176427396},{"$f":"INDEX(H$19:H$83,MATCH($C84&$E84,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.24691809149495519},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.2593214091376947},"Uplift for refrigeration applied based on HGV values"]
[null,"Van","Class II (1.305 to 1.74 tonnes)","tonne.km","Diesel","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C85&$E85,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.72535821920502452},{"$f":"INDEX(H$19:H$83,MATCH($C85&$E85,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.17717324939521284},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.90253146860023736},"Uplift for refrigeration applied based on HGV values"]
[null,"Van","Class III (1.74 to 3.5 tonnes)","tonne.km","Diesel","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C86&$E86,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.72784910642287248},{"$f":"INDEX(H$19:H$83,MATCH($C86&$E86,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.17835938616561664},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.90620849258848912},"Uplift for refrigeration applied based on HGV values"]
[null,"Van","Average (up to 3.5 tonnes)","tonne.km","Diesel","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C87&$E87,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.73117028938000306},{"$f":"INDEX(H$19:H$83,MATCH($C87&$E87,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.17904734549245083},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.91021763487245388},"Uplift for refrigeration applied based on HGV values"]
[null,"Van","Class I (up to 1.305 tonnes)","tonne.km","Petrol","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C88&$E88,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":1.3924534002478153},{"$f":"INDEX(H$19:H$83,MATCH($C88&$E88,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.38961034497453012},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.7820637452223453},"Uplift for refrigeration applied based on HGV values"]
[null,"Van","Class II (1.305 to 1.74 tonnes)","tonne.km","Petrol","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C89&$E89,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.98139770246438474},{"$f":"INDEX(H$19:H$83,MATCH($C89&$E89,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.27462624645158756},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.2560239489159724},"Uplift for refrigeration applied based on HGV values"]
[null,"Van","Class III (1.74 to 3.5 tonnes)","tonne.km","Petrol","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C90&$E90,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":1.0230666872086696},{"$f":"INDEX(H$19:H$83,MATCH($C90&$E90,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.28661808920036974},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.3096847764090394},"Uplift for refrigeration applied based on HGV values"]
[null,"Van","Average (up to 3.5 tonnes)","tonne.km","Petrol","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C91&$E91,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.97230003343538773},{"$f":"INDEX(H$19:H$83,MATCH($C91&$E91,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.2721353592337396},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.2444353926691274},"Uplift for refrigeration applied based on HGV values"]
[null,"Van","Average (up to 3.5 tonnes)","tonne.km","CNG","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C92&$E92,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.73774148708803999},{"$f":"INDEX(H$19:H$83,MATCH($C92&$E92,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.15201528849494864},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.8897567755829886},"Uplift for refrigeration applied based on HGV values"]
[null,"Van","Average (up to 3.5 tonnes)","tonne.km","LPG","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C93&$E93,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.81103287813128966},{"$f":"INDEX(H$19:H$83,MATCH($C93&$E93,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":9.6302444389083017E-2},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.90733532252037263},"Uplift for refrigeration applied based on HGV values"]
[null,"Van","Average (up to 3.5 tonnes)","tonne.km","Unknown","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C94&$E94,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.7385361987242105},{"$f":"INDEX(H$19:H$83,MATCH($C94&$E94,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.18189407374141989},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.92043027246563036},"Uplift for refrigeration applied based on HGV values"]
[null,"Van","Class I (up to 1.305 tonnes)","tonne.km","Battery Electric Vehicle","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C95&$E95,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.18685212544170771},{"$f":"INDEX(H$19:H$83,MATCH($C95&$E95,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":4.1289420977755634E-2},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.22814154641946333},"Uplift for refrigeration applied based on HGV values"]
[null,"Van","Class II (1.305 to 1.74 tonnes)","tonne.km","Battery Electric Vehicle","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C96&$E96,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.33125241587066406},{"$f":"INDEX(H$19:H$83,MATCH($C96&$E96,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":7.3421866087994073E-2},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.40467428195865812},"Uplift for refrigeration applied based on HGV values"]
[null,"Van","Class III (1.74 to 3.5 tonnes)","tonne.km","Battery Electric Vehicle","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C97&$E97,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.28071112808375892},{"$f":"INDEX(H$19:H$83,MATCH($C97&$E97,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":6.216542813686219E-2},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.34287655622062113},"Uplift for refrigeration applied based on HGV values"]
[null,"Van","Average (up to 3.5 tonnes)","tonne.km","Battery Electric Vehicle","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C98&$E98,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.30172947165531394},{"$f":"INDEX(H$19:H$83,MATCH($C98&$E98,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":6.6815084276845016E-2},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.36854455593215896},"Uplift for refrigeration applied based on HGV values"]
[null,"Freight Flight","Domestic","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C99&$E99,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":5.5432915828050326},{"$f":"INDEX(H$19:H$83,MATCH($C99&$E99,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.6811864858751876},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":6.2244780686802201},"Uplift for refrigeration applied based on HGV values"]
[null,"Freight Flight","Short-haul","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C100&$E100,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":1.9786659149167722},{"$f":"INDEX(H$19:H$83,MATCH($C100&$E100,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.24333595844833578},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":2.2220018733651079},"Uplift for refrigeration applied based on HGV values"]
[null,"Freight Flight","Long-haul","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C101&$E101,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":1.3036117561445721},{"$f":"INDEX(H$19:H$83,MATCH($C101&$E101,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.1603182458877751},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.4639300020323471},"Uplift for refrigeration applied based on HGV values"]
[null,"Freight Flight","International","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C102&$E102,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":1.3036117561445721},{"$f":"INDEX(H$19:H$83,MATCH($C102&$E102,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.1603182458877751},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.4639300020323471},"Uplift for refrigeration applied based on HGV values"]
[null,"Rail","Freight train","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C103&$E103,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":3.296274084952109E-2},{"$f":"INDEX(H$19:H$83,MATCH($C103&$E103,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":8.1962050834901313E-3},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":4.1158945933011219E-2},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","Bulk carrier (200,000+ dwt)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C104&$E104,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":3.0009260291215673E-3},{"$f":"INDEX(H$19:H$83,MATCH($C104&$E104,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":6.7609795913015547E-4},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":3.6770239882517228E-3},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","Bulk carrier (100,000–199,999 dwt)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C105&$E105,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":3.605855782027496E-3},{"$f":"INDEX(H$19:H$83,MATCH($C105&$E105,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":8.1843437157860918E-4},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":4.4242901536061053E-3},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","Bulk carrier (60,000–99,999 dwt)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C106&$E106,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":4.9224675971756933E-3},{"$f":"INDEX(H$19:H$83,MATCH($C106&$E106,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":1.1149685641795547E-3},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":6.0374361613552479E-3},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","Bulk carrier (35,000–59,999 dwt)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C107&$E107,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":6.8440091652298193E-3},{"$f":"INDEX(H$19:H$83,MATCH($C107&$E107,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":1.5538391692289538E-3},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":8.3978483344587726E-3},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","Bulk carrier (10,000–34,999 dwt)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C108&$E108,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":9.4890941632302522E-3},{"$f":"INDEX(H$19:H$83,MATCH($C108&$E108,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":2.1469075544308445E-3},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.1636001717661097E-2},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","Bulk carrier (0–9999 dwt)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C109&$E109,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":3.5062202933135778E-2},{"$f":"INDEX(H$19:H$83,MATCH($C109&$E109,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":7.9471163617053364E-3},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":4.3009319294841114E-2},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","Bulk carrier (Average)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C110&$E110,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":4.1870627995253488E-3},{"$f":"INDEX(H$19:H$83,MATCH($C110&$E110,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":9.4890941632302527E-4},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":5.1359722158483738E-3},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","General cargo (10,000+ dwt)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C111&$E111,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":1.428108671566153E-2},{"$f":"INDEX(H$19:H$83,MATCH($C111&$E111,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":3.2381533832023233E-3},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.7519240098863853E-2},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","General cargo (5000–9999 dwt)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C112&$E112,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":1.8978188326460504E-2},{"$f":"INDEX(H$19:H$83,MATCH($C112&$E112,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":4.3056764765657266E-3},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":2.328386480302623E-2},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","General cargo (0–4999 dwt)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C113&$E113,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":1.6688944359581206E-2},{"$f":"INDEX(H$19:H$83,MATCH($C113&$E113,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":3.7837762975880631E-3},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":2.047272065716927E-2},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","General cargo (10,000+ dwt 100+ TEU)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C114&$E114,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":1.3201702254594088E-2},{"$f":"INDEX(H$19:H$83,MATCH($C114&$E114,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":3.0009260291215673E-3},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.6202628283715655E-2},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","General cargo (5000–9999 dwt 100+ TEU)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C115&$E115,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":2.1018343571555007E-2},{"$f":"INDEX(H$19:H$83,MATCH($C115&$E115,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":4.768269817023202E-3},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":2.5786613388578208E-2},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","General cargo (0–4999 dwt 100+ TEU)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C116&$E116,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":2.3782042246595816E-2},{"$f":"INDEX(H$19:H$83,MATCH($C116&$E116,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":5.3969223053372062E-3},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":2.9178964551933022E-2},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","General cargo (Average)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C117&$E117,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":1.5668866737033955E-2},{"$f":"INDEX(H$19:H$83,MATCH($C117&$E117,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":3.5584103112113446E-3},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.9227277048245298E-2},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","Container ship (8000+ TEU)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C118&$E118,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":1.5004630145607836E-2},{"$f":"INDEX(H$19:H$83,MATCH($C118&$E118,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":3.4042125310588529E-3},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.840884267666669E-2},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","Container ship (5000–7999 TEU)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C119&$E119,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":1.9938959110487566E-2},{"$f":"INDEX(H$19:H$83,MATCH($C119&$E119,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":4.519181095238408E-3},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":2.4458140205725974E-2},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","Container ship (3000–4999 TEU)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C120&$E120,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":1.9938959110487566E-2},{"$f":"INDEX(H$19:H$83,MATCH($C120&$E120,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":4.519181095238408E-3},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":2.4458140205725974E-2},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","Container ship (2000–2999 TEU)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C121&$E121,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":2.4019269600676577E-2},{"$f":"INDEX(H$19:H$83,MATCH($C121&$E121,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":5.4443677761533572E-3},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":2.9463637376829936E-2},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","Container ship (1000–1999 TEU)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C122&$E122,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":3.8549445038122902E-2},{"$f":"INDEX(H$19:H$83,MATCH($C122&$E122,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":8.7418279978758694E-3},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":4.7291273035998768E-2},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","Container ship (0–999 TEU)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C123&$E123,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":4.3590526312338972E-2},{"$f":"INDEX(H$19:H$83,MATCH($C123&$E123,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":9.8805192974635008E-3},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":5.3471045609802474E-2},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","Container ship (Average)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C124&$E124,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":1.9120524738908958E-2},{"$f":"INDEX(H$19:H$83,MATCH($C124&$E124,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":4.3293992119738025E-3},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":2.3449923950882759E-2},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","Vehicle transport (4000+ CEU)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C125&$E125,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":3.8430831361082517E-2},{"$f":"INDEX(H$19:H$83,MATCH($C125&$E125,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":8.7181052624677943E-3},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":4.7148936623550311E-2},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","Vehicle transport (0–3999 CEU)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C126&$E126,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":6.917549644994854E-2},{"$f":"INDEX(H$19:H$83,MATCH($C126&$E126,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":1.5680728104737994E-2},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":8.4856224554686527E-2},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","Vehicle transport (Average)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C127&$E127,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":4.568998839595366E-2},{"$f":"INDEX(H$19:H$83,MATCH($C127&$E127,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":1.0354974005625012E-2},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":5.604496240157867E-2},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","RoRo-Ferry (2000+ LM)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C128&$E128,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":5.944917493263753E-2},{"$f":"INDEX(H$19:H$83,MATCH($C128&$E128,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":1.3474513711786958E-2},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":7.2923688644424486E-2},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","RoRo-Ferry (0–1999 LM)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C129&$E129,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":7.2413649833150864E-2},{"$f":"INDEX(H$19:H$83,MATCH($C129&$E129,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":1.6416132902388338E-2},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":8.8829782735539209E-2},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","RoRo-Ferry (Average)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C130&$E130,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":6.1192795985131082E-2},{"$f":"INDEX(H$19:H$83,MATCH($C130&$E130,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":1.3877800213724244E-2},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":7.5070596198855324E-2},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","Large RoPax ferry (Average)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C131&$E131,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.4461297620842703},{"$f":"INDEX(H$19:H$83,MATCH($C131&$E131,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":0.10115374378003449},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0.54728350586430474},"Uplift for refrigeration applied based on HGV values"]
[null,"Ship","Refrigerated cargo ( All dwt)","tonne.km","Not applicable","Yes",{"$f":"INDEX(G$19:G$83,MATCH($C132&$E132,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":1.5490946221473387E-2},{"$f":"INDEX(H$19:H$83,MATCH($C132&$E132,$C$19:$C$83&$E$19:$E$83,0))*(1+$F$13)","v":3.5109648403951932E-3},{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":1.900191106186858E-2},"Uplift for refrigeration applied based on HGV values"]
[null,"Unmotorized","Not applicable","Not applicable","Not applicable","Not applicable",0,0,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0},"No emissions"]
[null,"Van","Average (up to 3.5 tonnes)","tonne.km","Electric","Yes",null,null,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0},"Average additional emissions associated with cooling calculated from BEIS data for HGV"]
[null,"Van","Average (up to 3.5 tonnes)","tonne.km","Electric","No",null,null,{"$f":"transportEFtable[[#This Row],[kg CO2e]]+transportEFtable[[#This Row],[WTT kCO2e]]","v":0},"0.25091 kWh/km. Average based on 20 vans, assuming 2 tonne capacity (ev-database.uk)"]

{"sheet":"TR-BEIS-raw","index":33,"n_rows":191,"n_cols":31,"rows_kept":191,"cut":false,"hidden":true,"merged":[[20,0,20,11],[31,1,33,1],[194,0,194,12],[175,0,175,11],[186,0,186,10],[165,1,167,1],[26,0,26,11],[29,3,29,6],[34,1,36,1],[37,1,39,1],[29,11,29,14],[151,1,157,1],[158,1,164,1],[176,0,176,11],[73,7,73,10],[73,11,73,14],[13,0,13,11],[14,0,14,11],[15,0,15,11],[16,0,16,11],[18,0,18,11],[17,0,17,11],[19,0,19,11],[195,0,195,12],[45,3,45,6],[45,7,45,10],[45,11,45,14],[73,3,73,6],[47,0,70,0],[47,1,49,1],[50,1,52,1],[53,1,55,1],[56,1,58,1],[87,1,89,1],[90,1,92,1],[93,1,95,1],[190,0,190,11],[181,0,181,12],[29,27,29,30],[182,0,182,10],[183,0,183,11],[180,0,180,11],[21,0,21,11],[45,15,45,18],[73,15,73,18],[96,1,98,1],[101,3,101,6],[103,0,106,0],[40,1,42,1],[75,0,98,0],[75,1,77,1],[178,0,178,11],[29,23,29,26],[29,7,29,10],[29,15,29,18],[29,19,29,22],[78,1,80,1],[187,0,188,11],[31,0,42,0],[101,7,101,10],[116,0,139,0],[116,1,122,1],[123,1,128,1],[129,1,133,1],[134,1,136,1],[137,1,139,1],[177,0,177,11],[68,1,70,1],[144,0,172,0],[144,1,150,1],[81,1,83,1],[84,1,86,1],[179,0,179,12],[184,0,184,9],[168,1,170,1],[65,1,67,1],[25,0,25,11],[22,0,22,11],[24,0,24,11],[59,1,61,1],[62,1,64,1],[23,0,23,11]]}
[]
["BEIS Transport emission factors - raw data"]
["Source:","https://www.gov.uk/government/publications/greenhouse-gas-reporting-conversion-factors-2023"]
["Updated:",45590]
[]
[]
["UK Government GHG Conversion Factors for Company Reporting"]
["Freighting goods"]
["Index"]
[]
["Emissions source:","Freighting goods","Next publication date: ",45453,"Factor set:","Condensed set"]
["Scope:","Scope 3","Version:",1.1000000000000001,"Year:",2023]
[]
["Freighting goods factors should be used specifically for the shipment of goods over land, by sea or by air through a third-party company. Factors are available for a whole vehicle's worth of goods or per tonne of goods shipped via a specific transport mode."]
[]
["Guidance"]
["●  Where possible users should report on litres of fuel and/or kWh of electricity used for freight rather than on a km basis as this is a more accurate calculation - these conversion factors may be found in the 'Fuels' and 'UK Electricity' tabs."]
["●  For vehicles that run on electricity, care should be taken not to double-count emissions from electricity use that is already captured from reporting of an organisations on-site electricity consumption. "]
["●  Users that are able to gather data on a vehicle km basis should use these data in preference to tonne km data."]
["●  Emissions from aviation have both direct (CO2, CH4 and N2O) and indirect (non-CO2 emissions e.g. water vapour, contrails, NOx) climate change effects. Two sets of emission factors are presented here; one that includes the indirect effects of non-CO2 emissions and one that represents direct effects only. The entirety of the indirect effects have been applied to the CO2 factor, causing an increase of 70%.\nOrganisations should include the indirect effects of non-CO2 emissions when reporting air freight emissions to capture the full climate impact of their travel. However, it should be noted that there is significant scientific uncertainty around the magnitude of the indirect effect of non-CO2 aviation emissions and it is an active area of research. Further information can be found in the air transport section of the Methodology Paper."]
["● Please see the FAQs at the bottom of this page for further information on the conversion factors for freighting goods vehicles, including electric vehicles."]
["Example of calculating emissions from freighting goods"]
[")"]
["To account for this considerable Scope 3 impact, it quantifies its upstream and downstream freight emissions."]
["For its ‘goods in’, it knows the mass of items shipped to the UK by cargo ship, since this is on the delivery dockets. It knows which country the goods are being shipped from so it can work out the km travelled during import.  Company O takes the tonnage and multiplies it by the distance travelled to achieve a tonne.km value. It then multiplies by the appropriate cargo ship factor for its ship type (in this case, ‘general cargo, unknown’). This provides the emissions for the ‘goods in’."]
["For goods delivered by train from the docks to the company's regional distribution centre (RDC), it can again calculate the tonne.km travelled since it knows the location of the docks and that of its RDC. The company can then multiply this by the tonne.km conversion factor for freight-train emissions."]
["For the ‘goods out’ (that is, from its RDC to customers), company O delivers in small vans, using optimised route planning. For this, it uses the van freight factors on a whole-vehicle basis since it knows how many km its vans travel with a variety of goods delivered each day."]
[]
[]
[null,null,null,"Diesel",null,null,null,"Petrol",null,null,null,"CNG",null,null,null,"LPG",null,null,null,"Unknown",null,null,null,"Plug-in Hybrid Electric Vehicle",null,null,null,"Battery Electric Vehicle"]
["Activity","Type","Unit","kg CO2e","kg CO2e of CO2 per unit","kg CO2e of CH4 per unit","kg CO2e of N2O per unit","kg CO2e","kg CO2e of CO2 per unit","kg CO2e of CH4 per unit","kg CO2e of N2O per unit","kg CO2e","kg CO2e of CO2 per unit","kg CO2e of CH4 per unit","kg CO2e of N2O per unit","kg CO2e","kg CO2e of CO2 per unit","kg CO2e of CH4 per unit","kg CO2e of N2O per unit","kg CO2e","kg CO2e of CO2 per unit","kg CO2e of CH4 per unit","kg CO2e of N2O per unit","kg CO2e","kg CO2e of CO2 per unit","kg CO2e of CH4 per unit","kg CO2e of N2O per unit","kg CO2e","kg CO2e of CO2 per unit","kg CO2e of CH4 per unit","kg CO2e of N2O per unit"]
["Vans","Class I (up to 1.305 tonnes)","tonne.km",0.79014736644295303,0.78093000000000001,2.2400000000000002E-5,9.1949664429530203E-3,1.0588012510067113,1.0550200000000001,1.4336000000000002E-3,2.3476510067114093E-3,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.1827800067114094,0.18092,7.8400000000000008E-4,1.0760067114093958E-3]
[null,null,"km",0.1421240268456376,0.14047000000000001,0,1.6540268456375839E-3,0.18217453825503357,0.18146999999999999,2.6880000000000003E-4,4.3573825503355701E-4,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3.8500315436241613E-2,3.8109999999999998E-2,1.6799999999999999E-4,2.2231543624161074E-4]
[null,null,"miles",0.22874898523489931,0.22606999999999999,1.1200000000000001E-5,2.6677852348993289E-3,0.29317811677852351,0.29204999999999998,4.2560000000000005E-4,7.0251677852348996E-4,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6.1973397315436239E-2,6.1339999999999999E-2,2.6880000000000003E-4,3.6459731543624161E-4]
[null,"Class II (1.305 to 1.74 tonnes)","tonne.km",0.56786358255033553,0.56216999999999995,1.1200000000000001E-5,5.6823825503355702E-3,0.73241617852348995,0.72985,9.7440000000000005E-4,1.5917785234899329E-3,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.26503543355704695,0.2626,1.0304000000000001E-3,1.4050335570469799E-3]
[null,null,"km",0.17405402684563759,0.1724,0,1.6540268456375839E-3,0.19594453825503358,0.19524,2.6880000000000003E-4,4.3573825503355701E-4,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5.9315241610738256E-2,5.8779999999999999E-2,2.2400000000000002E-4,3.1124161073825502E-4]
[null,null,"miles",0.28012898523489932,0.27744999999999997,1.1200000000000001E-5,2.6677852348993289E-3,0.31533811677852353,0.31420999999999999,4.2560000000000005E-4,7.0251677852348996E-4,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,9.546647919463086E-2,9.4589999999999994E-2,3.6960000000000004E-4,5.0687919463087241E-4]
[null,"Class III (1.74 to 3.5 tonnes)","tonne.km",0.56759052885906047,0.56388000000000005,1.1200000000000001E-5,3.6993288590604022E-3,0.77663569932885901,0.77488999999999997,6.6080000000000012E-4,1.0848993288590603E-3,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.26159930738255033,0.25931999999999999,9.632000000000001E-4,1.3161073825503355E-3]
[null,null,"km",0.25346402684563757,0.25180999999999998,0,1.6540268456375839E-3,0.3144445382550336,0.31374000000000002,2.6880000000000003E-4,4.3573825503355701E-4,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,8.9670538255033558E-2,8.8910000000000003E-2,3.2480000000000003E-4,4.3573825503355701E-4]
[null,null,"miles",0.40791898523489933,0.40523999999999999,1.1200000000000001E-5,2.6677852348993289E-3,0.50604811677852357,0.50492000000000004,4.2560000000000005E-4,7.0251677852348996E-4,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.14429771677852349,0.14308000000000001,5.1520000000000005E-4,7.0251677852348996E-4]
[null,"Average (up to 3.5 tonnes)","tonne.km",0.57059626711409395,0.56645000000000001,1.1200000000000001E-5,4.1350671140939592E-3,0.71964115973154363,0.71723999999999999,9.0720000000000004E-4,1.4939597315436243E-3,0.57513896644295304,0.57059000000000004,3.3040000000000001E-3,1.2449664429530201E-3,0.63199576644295308,0.63065000000000004,1.0080000000000001E-4,1.2449664429530201E-3,0.5751397409395973,0.57106000000000001,3.3600000000000004E-5,4.0461409395973159E-3,null,null,null,null,0.26341543355704694,0.26097999999999999,1.0304000000000001E-3,1.4050335570469799E-3]
[null,null,"km",0.23128402684563759,0.22963,0,1.6540268456375839E-3,0.20132453825503357,0.20061999999999999,2.6880000000000003E-4,4.3573825503355701E-4,0.23208958657718121,0.23027,1.3216000000000002E-3,4.9798657718120806E-4,0.25504278657718121,0.2545,4.4800000000000005E-5,4.9798657718120806E-4,0.23036965637583892,0.22874,1.1200000000000001E-5,1.6184563758389261E-3,null,null,null,null,7.3455241610738256E-2,7.2919999999999999E-2,2.2400000000000002E-4,3.1124161073825502E-4]
[null,null,"miles",0.37223898523489934,0.36956,1.1200000000000001E-5,2.6677852348993289E-3,0.32399811677852353,0.32286999999999999,4.2560000000000005E-4,7.0251677852348996E-4,0.37349713557046982,0.37058000000000002,2.1168000000000003E-3,8.0033557046979868E-4,0.41045753557046982,0.40959000000000001,6.7200000000000007E-5,8.0033557046979868E-4,0.37074904429530198,0.36813000000000001,2.2400000000000002E-5,2.5966442953020133E-3,null,null,null,null,0.11823647919463087,0.11736000000000001,3.6960000000000004E-4,5.0687919463087241E-4]
[]
[]
[null,null,null,"0% Laden",null,null,null,"50% Laden",null,null,null,"100% Laden",null,null,null,"Average laden"]
["Activity","Type","Unit","kg CO2e","kg CO2e of CO2 per unit","kg CO2e of CH4 per unit","kg CO2e of N2O per unit","kg CO2e","kg CO2e of CO2 per unit","kg CO2e of CH4 per unit","kg CO2e of N2O per unit","kg CO2e","kg CO2e of CO2 per unit","kg CO2e of CH4 per unit","kg CO2e of N2O per unit","kg CO2e","kg CO2e of CO2 per unit","kg CO2e of CH4 per unit","kg CO2e of N2O per unit"]
["HGV (all diesel)","Rigid (>3.5 - 7.5 tonnes)","tonne.km",null,null,null,null,0.4458339879194631,0.44078000000000001,1.0080000000000001E-4,4.9531879194630877E-3,0.2405570402684564,0.23802000000000001,5.6000000000000006E-5,2.4810402684563759E-3,0.51228203355704693,0.50678999999999996,1.1200000000000001E-4,5.3800335570469799E-3]
[null,null,"km",0.45220978523489935,0.44678000000000001,1.1200000000000001E-4,5.3177852348993285E-3,0.49105978523489935,0.48563000000000001,1.1200000000000001E-4,5.3177852348993285E-3,0.52990978523489929,0.52447999999999995,1.1200000000000001E-4,5.3177852348993285E-3,0.48561978523489935,0.48019000000000001,1.1200000000000001E-4,5.3177852348993285E-3]
[null,null,"miles",0.72775389798657719,0.71901999999999999,1.7920000000000002E-4,8.5546979865771811E-3,0.79027389798657721,0.78154000000000001,1.7920000000000002E-4,8.5546979865771811E-3,0.85280389798657719,0.84406999999999999,1.7920000000000002E-4,8.5546979865771811E-3,0.78152389798657718,0.77278999999999998,1.7920000000000002E-4,8.5546979865771811E-3]
[null,"Rigid (>7.5 tonnes-17 tonnes)","tonne.km",null,null,null,null,0.25072818120805368,0.24812000000000001,5.6000000000000006E-5,2.5521812080536912E-3,0.14087293691275168,0.13957,2.2400000000000002E-5,1.2805369127516779E-3,0.35412108456375835,0.35028999999999999,7.8399999999999995E-5,3.752684563758389E-3]
[null,null,"km",0.5408771181208053,0.53425999999999996,1.3440000000000001E-4,6.4827181208053685E-3,0.61719711812080535,0.61058000000000001,1.3440000000000001E-4,6.4827181208053685E-3,0.6935171181208053,0.68689999999999996,1.3440000000000001E-4,6.4827181208053685E-3,0.59276711812080529,0.58614999999999995,1.3440000000000001E-4,6.4827181208053685E-3]
[null,null,"miles",0.87045504026845644,0.85980000000000001,2.2400000000000002E-4,1.0431040268456376E-2,0.99328504026845643,0.98263,2.2400000000000002E-4,1.0431040268456376E-2,1.1161150402684565,1.1054600000000001,2.2400000000000002E-4,1.0431040268456376E-2,0.95397504026845648,0.94332000000000005,2.2400000000000002E-4,1.0431040268456376E-2]
[null,"Rigid (>17 tonnes)","tonne.km",null,null,null,null,0.20141577315436243,0.19905,4.4800000000000005E-5,2.3209731543624161E-3,0.11861844026845639,0.11744,2.2400000000000002E-5,1.1560402684563757E-3,0.15375453154362417,0.1517,4.4800000000000005E-5,2.0097315436241607E-3]
[null,null,"km",0.74679510738255028,0.73597999999999997,2.2400000000000002E-4,1.0591107382550336E-2,0.90835510738255032,0.89754,2.2400000000000002E-4,1.0591107382550336E-2,1.0699051073825505,1.0590900000000001,2.2400000000000002E-4,1.0591107382550336E-2,0.97435510738255027,0.96353999999999995,2.2400000000000002E-4,1.0591107382550336E-2]
[null,null,"miles",1.201857855033557,1.18445,3.6960000000000004E-4,1.7038255033557048E-2,1.461857855033557,1.44445,3.6960000000000004E-4,1.7038255033557048E-2,1.721857855033557,1.70445,3.6960000000000004E-4,1.7038255033557048E-2,1.568077855033557,1.55067,3.6960000000000004E-4,1.7038255033557048E-2]
[null,"All rigids","tonne.km",null,null,null,null,0.21457593288590604,0.21203,5.6000000000000006E-5,2.4899328859060402E-3,0.12508736644295301,0.12382,2.2400000000000002E-5,1.2449664429530201E-3,0.17818909530201343,0.17585000000000001,4.4800000000000005E-5,2.2942953020134225E-3]
[null,null,"km",0.65828412483221477,0.64920999999999995,1.9040000000000002E-4,8.8837248322147649E-3,0.78306412483221477,0.77398999999999996,1.9040000000000002E-4,8.8837248322147649E-3,0.90784412483221477,0.89876999999999996,1.9040000000000002E-4,8.8837248322147649E-3,0.82313412483221482,0.81406000000000001,1.9040000000000002E-4,8.8837248322147649E-3]
[null,null,"miles",1.0593928362416107,1.0448,3.0240000000000003E-4,1.4290436241610738E-2,1.2602128362416107,1.2456199999999999,3.0240000000000003E-4,1.4290436241610738E-2,1.4610228362416109,1.4464300000000001,3.0240000000000003E-4,1.4290436241610738E-2,1.3247028362416109,1.3101100000000001,3.0240000000000003E-4,1.4290436241610738E-2]
[null,"Articulated (>3.5 - 33t)","tonne.km",null,null,null,null,0.11569542013422819,0.11377,2.2400000000000002E-5,1.9030201342281879E-3,6.9222710067114099E-2,6.8260000000000001E-2,1.1200000000000001E-5,9.5151006711409393E-4,0.11577545369127518,0.11377,2.2400000000000002E-5,1.983053691275168E-3]
[null,null,"km",0.61561826711409395,0.60341,1.2320000000000001E-4,1.208506711409396E-2,0.76646826711409399,0.75426000000000004,1.2320000000000001E-4,1.208506711409396E-2,0.91732826711409399,0.90512000000000004,1.2320000000000001E-4,1.208506711409396E-2,0.76646826711409399,0.75426000000000004,1.2320000000000001E-4,1.208506711409396E-2]
[null,null,"miles",0.99071966174496651,0.97109000000000001,1.9040000000000002E-4,1.9439261744966442E-2,1.2334996617449663,1.21387,1.9040000000000002E-4,1.9439261744966442E-2,1.4762696617449662,1.4566399999999999,1.9040000000000002E-4,1.9439261744966442E-2,1.2334996617449663,1.21387,1.9040000000000002E-4,1.9439261744966442E-2]
[null,"Articulated (>33t)","tonne.km",null,null,null,null,9.2604085906040259E-2,9.1009999999999994E-2,1.1200000000000001E-5,1.5828859060402684E-3,5.7682642953020134E-2,5.688E-2,1.1200000000000001E-5,7.9144295302013422E-4,7.4205059060402687E-2,7.2940000000000005E-2,1.1200000000000001E-5,1.2538590604026846E-3]
[null,null,"km",0.63250496241610732,0.61797999999999997,1.4559999999999999E-4,1.4379362416107383E-2,0.83849496241610733,0.82396999999999998,1.4559999999999999E-4,1.4379362416107383E-2,1.0444849624161074,1.02996,1.4559999999999999E-4,1.4379362416107383E-2,0.91265496241610733,0.89812999999999998,1.4559999999999999E-4,1.4379362416107383E-2]
[null,null,"miles",1.0179025906040269,0.99453999999999998,2.2400000000000002E-4,2.3138590604026846E-2,1.3494125906040269,1.32605,2.2400000000000002E-4,2.3138590604026846E-2,1.6809325906040269,1.65757,2.2400000000000002E-4,2.3138590604026846E-2,1.4687625906040269,1.4454,2.2400000000000002E-4,2.3138590604026846E-2]
[null,"All artics","tonne.km",null,null,null,null,9.3142978523489933E-2,9.1539999999999996E-2,1.1200000000000001E-5,1.5917785234899329E-3,5.7952642953020134E-2,5.7149999999999999E-2,1.1200000000000001E-5,7.9144295302013422E-4,7.5182844295302004E-2,7.3899999999999993E-2,1.1200000000000001E-5,1.2716442953020135E-3]
[null,null,"km",0.63178714362416111,0.61736000000000002,1.4559999999999999E-4,1.4281543624161074E-2,0.8354371436241611,0.82101000000000002,1.4559999999999999E-4,1.4281543624161074E-2,1.0390871436241609,1.0246599999999999,1.4559999999999999E-4,1.4281543624161074E-2,0.90643714362416106,0.89200999999999997,1.4559999999999999E-4,1.4281543624161074E-2]
[null,null,"miles",1.0167514161073825,0.99353999999999998,2.2400000000000002E-4,2.2987416107382551E-2,1.3444914161073827,1.32128,2.2400000000000002E-4,2.2987416107382551E-2,1.6722414161073826,1.64903,2.2400000000000002E-4,2.2987416107382551E-2,1.4587714161073826,1.4355599999999999,2.2400000000000002E-4,2.2987416107382551E-2]
[null,"All HGVs","tonne.km",null,null,null,null,0.11882092348993289,0.11702,2.2400000000000002E-5,1.7785234899328859E-3,7.2150461744966435E-2,7.1249999999999994E-2,1.1200000000000001E-5,8.8926174496644294E-4,9.6957467114093962E-2,9.5449999999999993E-2,2.2400000000000002E-5,1.4850671140939598E-3]
[null,null,"km",0.64257847785234889,0.63046999999999997,1.5679999999999999E-4,1.1951677852348994E-2,0.81376847785234896,0.80166000000000004,1.5679999999999999E-4,1.1951677852348994E-2,0.98495847785234891,0.97284999999999999,1.5679999999999999E-4,1.1951677852348994E-2,0.87204847785234896,0.85994000000000004,1.5679999999999999E-4,1.1951677852348994E-2]
[null,null,"miles",1.0341234389261746,1.01464,2.5760000000000003E-4,1.9225838926174497E-2,1.3096334389261746,1.2901499999999999,2.5760000000000003E-4,1.9225838926174497E-2,1.5851434389261747,1.5656600000000001,2.5760000000000003E-4,1.9225838926174497E-2,1.4034134389261748,1.3839300000000001,2.5760000000000003E-4,1.9225838926174497E-2]
[]
[]
[null,null,null,"0% Laden",null,null,null,"50% Laden",null,null,null,"100% Laden",null,null,null,"Average laden"]
["Activity","Type","Unit","kg CO2e","kg CO2e of CO2 per unit","kg CO2e of CH4 per unit","kg CO2e of N2O per unit","kg CO2e","kg CO2e of CO2 per unit","kg CO2e of CH4 per unit","kg CO2e of N2O per unit","kg CO2e","kg CO2e of CO2 per unit","kg CO2e of CH4 per unit","kg CO2e of N2O per unit","kg CO2e","kg CO2e of CO2 per unit","kg CO2e of CH4 per unit","kg CO2e of N2O per unit"]
["HGV refrigerated (all diesel)","Rigid (>3.5 - 7.5 tonnes)","tonne.km",null,null,null,null,0.53089398791946307,0.52583999999999997,1.0080000000000001E-4,4.9531879194630877E-3,0.28649704026845635,0.28395999999999999,5.6000000000000006E-5,2.4810402684563759E-3,0.610092033557047,0.60460000000000003,1.1200000000000001E-4,5.3800335570469799E-3]
[null,null,"km",0.53843978523489933,0.53300999999999998,1.1200000000000001E-4,5.3177852348993285E-3,0.58477978523489937,0.57935000000000003,1.1200000000000001E-4,5.3177852348993285E-3,0.63112978523489938,0.62570000000000003,1.1200000000000001E-4,5.3177852348993285E-3,0.57829978523489933,0.57286999999999999,1.1200000000000001E-4,5.3177852348993285E-3]
[null,null,"miles",0.86652389798657725,0.85779000000000005,1.7920000000000002E-4,8.5546979865771811E-3,0.94111389798657719,0.93237999999999999,1.7920000000000002E-4,8.5546979865771811E-3,1.0157038979865771,1.0069699999999999,1.7920000000000002E-4,8.5546979865771811E-3,0.93067389798657718,0.92193999999999998,1.7920000000000002E-4,8.5546979865771811E-3]
[null,"Rigid (>7.5 tonnes-17 tonnes)","tonne.km",null,null,null,null,0.29861818120805367,0.29601,5.6000000000000006E-5,2.5521812080536912E-3,0.16781293691275168,0.16650999999999999,2.2400000000000002E-5,1.2805369127516779E-3,0.42173108456375835,0.41789999999999999,7.8399999999999995E-5,3.752684563758389E-3]
[null,null,"km",0.64398711812080534,0.63736999999999999,1.3440000000000001E-4,6.4827181208053685E-3,0.7350371181208053,0.72841999999999996,1.3440000000000001E-4,6.4827181208053685E-3,0.82608711812080537,0.81947000000000003,1.3440000000000001E-4,6.4827181208053685E-3,0.70589711812080536,0.69928000000000001,1.3440000000000001E-4,6.4827181208053685E-3]
[null,null,"miles",1.0363950402684565,1.0257400000000001,2.2400000000000002E-4,1.0431040268456376E-2,1.1829350402684564,1.17228,2.2400000000000002E-4,1.0431040268456376E-2,1.3294650402684565,1.31881,2.2400000000000002E-4,1.0431040268456376E-2,1.1360350402684565,1.12538,2.2400000000000002E-4,1.0431040268456376E-2]
[null,"Rigid (>17 tonnes)","tonne.km",null,null,null,null,0.23982577315436243,0.23746,4.4800000000000005E-5,2.3209731543624161E-3,0.14127844026845637,0.1401,2.2400000000000002E-5,1.1560402684563757E-3,0.18303453154362417,0.18098,4.4800000000000005E-5,2.0097315436241607E-3]
[null,null,"km",0.88883510738255034,0.87802000000000002,2.2400000000000002E-4,1.0591107382550336E-2,1.0815751073825504,1.0707599999999999,2.2400000000000002E-4,1.0591107382550336E-2,1.2743151073825505,1.2635000000000001,2.2400000000000002E-4,1.0591107382550336E-2,1.1603151073825504,1.1495,2.2400000000000002E-4,1.0591107382550336E-2]
[null,null,"miles",1.4304478550335571,1.4130400000000001,3.6960000000000004E-4,1.7038255033557048E-2,1.740627855033557,1.72322,3.6960000000000004E-4,1.7038255033557048E-2,2.0508078550335567,2.0333999999999999,3.6960000000000004E-4,1.7038255033557048E-2,1.867357855033557,1.84995,3.6960000000000004E-4,1.7038255033557048E-2]
[null,"All rigids","tonne.km",null,null,null,null,0.25549593288590605,0.25295000000000001,5.6000000000000006E-5,2.4899328859060402E-3,0.14898736644295302,0.14771999999999999,2.2400000000000002E-5,1.2449664429530201E-3,0.21211909530201342,0.20977999999999999,4.4800000000000005E-5,2.2942953020134225E-3]
[null,null,"km",0.78358412483221485,0.77451000000000003,1.9040000000000002E-4,8.8837248322147649E-3,0.93244412483221484,0.92337000000000002,1.9040000000000002E-4,8.8837248322147649E-3,1.0813041248322146,1.07223,1.9040000000000002E-4,8.8837248322147649E-3,0.98025412483221486,0.97118000000000004,1.9040000000000002E-4,8.8837248322147649E-3]
[null,null,"miles",1.2610428362416108,1.2464500000000001,3.0240000000000003E-4,1.4290436241610738E-2,1.5006128362416107,1.4860199999999999,3.0240000000000003E-4,1.4290436241610738E-2,1.7401828362416107,1.72559,3.0240000000000003E-4,1.4290436241610738E-2,1.5775428362416108,1.5629500000000001,3.0240000000000003E-4,1.4290436241610738E-2]
[null,"Articulated (>3.5 - 33t)","tonne.km",null,null,null,null,0.13383542013422819,0.13191,2.2400000000000002E-5,1.9030201342281879E-3,8.0112710067114096E-2,7.9149999999999998E-2,1.1200000000000001E-5,9.5151006711409393E-4,0.13391545369127517,0.13191,2.2400000000000002E-5,1.983053691275168E-3]
[null,null,"km",0.71182826711409397,0.69962000000000002,1.2320000000000001E-4,1.208506711409396E-2,0.88672826711409392,0.87451999999999996,1.2320000000000001E-4,1.208506711409396E-2,1.061638267114094,1.0494300000000001,1.2320000000000001E-4,1.208506711409396E-2,0.88672826711409392,0.87451999999999996,1.2320000000000001E-4,1.208506711409396E-2]
[null,null,"miles",1.1455596617449664,1.1259300000000001,1.9040000000000002E-4,1.9439261744966442E-2,1.4270396617449663,1.40741,1.9040000000000002E-4,1.9439261744966442E-2,1.7085196617449663,1.68889,1.9040000000000002E-4,1.9439261744966442E-2,1.4270396617449663,1.40741,1.9040000000000002E-4,1.9439261744966442E-2]
[null,"Articulated (>33t)","tonne.km",null,null,null,null,0.10711408590604027,0.10552,1.1200000000000001E-5,1.5828859060402684E-3,6.6752642953020136E-2,6.5949999999999995E-2,1.1200000000000001E-5,7.9144295302013422E-4,8.5835059060402688E-2,8.4570000000000006E-2,1.1200000000000001E-5,1.2538590604026846E-3]
[null,null,"km",0.73103496241610733,0.71650999999999998,1.4559999999999999E-4,1.4379362416107383E-2,0.96987496241610738,0.95535000000000003,1.4559999999999999E-4,1.4379362416107383E-2,1.2087149624161075,1.1941900000000001,1.4559999999999999E-4,1.4379362416107383E-2,1.0558549624161075,1.0413300000000001,1.4559999999999999E-4,1.4379362416107383E-2]
[null,null,"miles",1.176472590604027,1.1531100000000001,2.2400000000000002E-4,2.3138590604026846E-2,1.5608425906040269,1.53748,2.2400000000000002E-4,2.3138590604026846E-2,1.9452225906040268,1.9218599999999999,2.2400000000000002E-4,2.3138590604026846E-2,1.6992225906040268,1.6758599999999999,2.2400000000000002E-4,2.3138590604026846E-2]
[null,"All artics","tonne.km",null,null,null,null,0.10774297852348994,0.10614,1.1200000000000001E-5,1.5917785234899329E-3,6.7062642953020141E-2,6.6259999999999999E-2,1.1200000000000001E-5,7.9144295302013422E-4,8.6962844295302016E-2,8.5680000000000006E-2,1.1200000000000001E-5,1.2716442953020135E-3]
[null,null,"km",0.73021714362416112,0.71579000000000004,1.4559999999999999E-4,1.4281543624161074E-2,0.96633714362416112,0.95191000000000003,1.4559999999999999E-4,1.4281543624161074E-2,1.2024571436241609,1.1880299999999999,1.4559999999999999E-4,1.4281543624161074E-2,1.048667143624161,1.03424,1.4559999999999999E-4,1.4281543624161074E-2]
[null,null,"miles",1.1751714161073827,1.1519600000000001,2.2400000000000002E-4,2.2987416107382551E-2,1.5551614161073826,1.5319499999999999,2.2400000000000002E-4,2.2987416107382551E-2,1.9351614161073827,1.91195,2.2400000000000002E-4,2.2987416107382551E-2,1.6876614161073826,1.66445,2.2400000000000002E-4,2.2987416107382551E-2]
[null,"All HGVs","tonne.km",null,null,null,null,0.13909092348993288,0.13729,2.2400000000000002E-5,1.7785234899328859E-3,8.4490461744966439E-2,8.3589999999999998E-2,1.1200000000000001E-5,8.8926174496644294E-4,0.11349746711409398,0.11199000000000001,2.2400000000000002E-5,1.4850671140939598E-3]
[null,null,"km",0.7517684778523489,0.73965999999999998,1.5679999999999999E-4,1.1951677852348994E-2,0.95260847785234892,0.9405,1.5679999999999999E-4,1.1951677852348994E-2,1.1534584778523491,1.1413500000000001,1.5679999999999999E-4,1.1951677852348994E-2,1.020978477852349,1.0088699999999999,1.5679999999999999E-4,1.1951677852348994E-2]
[null,null,"miles",1.2098434389261747,1.1903600000000001,2.5760000000000003E-4,1.9225838926174497E-2,1.5330734389261746,1.51359,2.5760000000000003E-4,1.9225838926174497E-2,1.8563034389261746,1.8368199999999999,2.5760000000000003E-4,1.9225838926174497E-2,1.6431034389261747,1.6236200000000001,2.5760000000000003E-4,1.9225838926174497E-2]
[]
[]
[null,null,null,"With RF",null,null,null,"Without RF"]
["Activity","Type","Unit","kg CO2e","kg CO2e of CO2 per unit","kg CO2e of CH4 per unit","kg CO2e of N2O per unit","kg CO2e","kg CO2e of CO2 per unit","kg CO2e of CH4 per unit","kg CO2e of N2O per unit"]
["Freight flights","Domestic, to/from UK","tonne.km",4.6733964013422824,4.6464600000000003,3.9312000000000001E-3,2.3005201342281879E-2,2.7601464013422818,2.7332100000000001,3.9312000000000001E-3,2.3005201342281879E-2]
[null,"Short-haul, to/from UK","tonne.km",1.6681551785234898,1.6598599999999999,7.8399999999999995E-5,8.2167785234899329E-3,0.98468517852348991,0.97638999999999998,7.8399999999999995E-5,8.2167785234899329E-3]
[null,"Long-haul, to/from UK","tonne.km",1.0990316040268457,1.0935600000000001,5.6000000000000006E-5,5.4156040268456378E-3,0.64874160402684555,0.64327000000000001,5.6000000000000006E-5,5.4156040268456378E-3]
[null,"International, to/from non-UK","tonne.km",1.0990316040268457,1.0935600000000001,5.6000000000000006E-5,5.4156040268456378E-3,0.64874160402684555,0.64327000000000001,5.6000000000000006E-5,5.4156040268456378E-3]
[]
[]
[]
["Activity","Type","Unit","kg CO2e","kg CO2e of CO2 per unit","kg CO2e of CH4 per unit","kg CO2e of N2O per unit"]
["Rail","Freight train","tonne.km",2.7788071140939598E-2,2.7490000000000001E-2,2.2400000000000002E-5,2.756711409395973E-4]
[]
[]
[]
["Activity","Type","Size","Unit","kg CO2e","kg CO2e of CO2 per unit","kg CO2e of CH4 per unit","kg CO2e of N2O per unit"]
["Sea tanker","Crude tanker","200,000+ dwt","tonne.km",2.9358012080536911E-3,2.8999999999999998E-3,1.1200000000000001E-6,3.4681208053691275E-5]
[null,null,"120,000–199,999 dwt","tonne.km",4.4544757046979869E-3,4.4000000000000003E-3,1.1200000000000001E-6,5.3355704697986576E-5]
[null,null,"80,000–119,999 dwt","tonne.km",5.9733809395973161E-3,5.9000000000000007E-3,2.2400000000000002E-6,7.1140939597315439E-5]
[null,null,"60,000–79,999 dwt","tonne.km",7.5929446979865764E-3,7.4999999999999997E-3,2.2400000000000002E-6,9.0704697986577178E-5]
[null,null,"10,000–59,999 dwt","tonne.km",9.2136284563758396E-3,9.1000000000000004E-3,3.3600000000000004E-6,1.1026845637583893E-4]
[null,null,"0–9999 dwt","tonne.km",3.37140355704698E-2,3.3299999999999996E-2,1.1200000000000001E-5,4.0283557046979867E-4]
[null,null,"Average","tonne.km",4.5653649664429531E-3,4.5100000000000001E-3,1.1200000000000001E-6,5.424496644295302E-5]
[null,"Products tanker ","60,000+ dwt","tonne.km",5.7716024161073827E-3,5.7000000000000002E-3,2.2400000000000002E-6,6.936241610738255E-5]
[null,null,"20,000–59,999 dwt","tonne.km",1.0427856644295304E-2,1.03E-2,3.3600000000000004E-6,1.2449664429530201E-4]
[null,null,"10,000–19,999 dwt","tonne.km",1.8933481744966441E-2,1.8699999999999998E-2,6.7200000000000009E-6,2.2676174496644296E-4]
[null,null,"5000–9999 dwt","tonne.km",2.9564006174496643E-2,2.92E-2,1.0080000000000002E-5,3.5392617449664431E-4]
[null,null,"0–4999 dwt","tonne.km",4.5559677449664424E-2,4.4999999999999998E-2,1.4560000000000001E-5,5.4511744966442952E-4]
[null,null,"Average","tonne.km",9.0209606711409394E-3,8.9099999999999995E-3,3.3600000000000004E-6,1.076006711409396E-4]
[null,"Chemical tanker ","20,000+ dwt","tonne.km",8.5047358389261762E-3,8.4000000000000012E-3,3.3600000000000004E-6,1.013758389261745E-4]
[null,null,"10,000–19,999 dwt","tonne.km",1.0934081476510069E-2,1.0800000000000001E-2,3.3600000000000004E-6,1.3072147651006712E-4]
[null,null,"5000–9999 dwt","tonne.km",1.5288787919463085E-2,1.5099999999999999E-2,5.6000000000000006E-6,1.8318791946308723E-4]
[null,null,"0–4999 dwt","tonne.km",2.2476397046979867E-2,2.2200000000000001E-2,7.8400000000000012E-6,2.685570469798658E-4]
[null,null,"Average","tonne.km",1.0306967382550335E-2,1.018E-2,3.3600000000000004E-6,1.2360738255033556E-4]
[null,"LNG tanker","200,000+ m3","tonne.km",9.4162962416107394E-3,9.300000000000001E-3,3.3600000000000004E-6,1.1293624161073826E-4]
[null,null,"0–199,999 m3","tonne.km",1.4679664563758389E-2,1.4500000000000001E-2,4.4800000000000003E-6,1.7518456375838925E-4]
[null,null,"Average","tonne.km",1.1531195570469801E-2,1.1390000000000001E-2,3.3600000000000004E-6,1.3783557046979865E-4]
[null,"LPG Tanker","50,000+ m3","tonne.km",9.1127391946308721E-3,8.9999999999999993E-3,3.3600000000000004E-6,1.0937919463087249E-4]
[null,null,"0–49,999 m3","tonne.km",4.4041002953020131E-2,4.3499999999999997E-2,1.4560000000000001E-5,5.2644295302013418E-4]
[null,null,"Average","tonne.km",1.0366967382550336E-2,1.0240000000000001E-2,3.3600000000000004E-6,1.2360738255033556E-4]
[]
[]
[]
["Activity","Type","Size","Unit","kg CO2e","kg CO2e of CO2 per unit","kg CO2e of CH4 per unit","kg CO2e of N2O per unit"]
["Cargo ship","Bulk carrier","200,000+ dwt","tonne.km",2.5313548993288588E-3,2.5000000000000001E-3,1.1200000000000001E-6,3.0234899328859059E-5]
[null,null,"100,000–199,999 dwt","tonne.km",3.0375797315436242E-3,3.0000000000000001E-3,1.1200000000000001E-6,3.6459731543624164E-5]
[null,null,"60,000–99,999 dwt","tonne.km",4.1509186577181204E-3,4.0999999999999995E-3,1.1200000000000001E-6,4.9798657718120805E-5]
[null,null,"35,000–59,999 dwt","tonne.km",5.7716024161073827E-3,5.7000000000000002E-3,2.2400000000000002E-6,6.936241610738255E-5]
[null,null,"10,000–34,999 dwt","tonne.km",7.9982802684563769E-3,7.9000000000000008E-3,2.2400000000000002E-6,9.6040268456375831E-5]
[null,null,"0–9999 dwt","tonne.km",2.9564006174496643E-2,2.92E-2,1.0080000000000002E-5,3.5392617449664431E-4]
[null,null,"Average","tonne.km",3.5338045637583891E-3,3.49E-3,1.1200000000000001E-6,4.2684563758389262E-5]
[null,"General cargo","10,000+ dwt","tonne.km",1.2048540402684564E-2,1.1900000000000001E-2,4.4800000000000003E-6,1.4406040268456375E-4]
[null,null,"5000–9999 dwt","tonne.km",1.5996791275167788E-2,1.5800000000000002E-2,5.6000000000000006E-6,1.9119127516778524E-4]
[null,null,"0–4999 dwt","tonne.km",1.4072550469798658E-2,1.3900000000000001E-2,4.4800000000000003E-6,1.6807046979865772E-4]
[null,null,"10,000+ dwt 100+ TEU","tonne.km",1.1136749261744967E-2,1.0999999999999999E-2,3.3600000000000004E-6,1.3338926174496642E-4]
[null,null,"5000–9999 dwt 100+ TEU","tonne.km",1.7717244295302016E-2,1.7500000000000002E-2,5.6000000000000006E-6,2.1164429530201343E-4]
[null,null,"0–4999 dwt 100+ TEU","tonne.km",2.0046820671140941E-2,1.9800000000000002E-2,6.7200000000000009E-6,2.401006711409396E-4]
[null,null,"Average","tonne.km",1.3212768590604027E-2,1.3050000000000001E-2,4.4800000000000003E-6,1.5828859060402684E-4]
[null,"Container ship","8000+ TEU","tonne.km",1.2655654496644296E-2,1.2500000000000001E-2,4.4800000000000003E-6,1.5117449664429531E-4]
[null,null,"5000–7999 TEU","tonne.km",1.6806573154362417E-2,1.66E-2,5.6000000000000006E-6,2.0097315436241609E-4]
[null,null,"3000–4999 TEU","tonne.km",1.6806573154362417E-2,1.66E-2,5.6000000000000006E-6,2.0097315436241609E-4]
[null,null,"2000–2999 TEU","tonne.km",2.0248599194630873E-2,0.02,6.7200000000000009E-6,2.4187919463087247E-4]
[null,null,"1000–1999 TEU","tonne.km",3.2499807382550344E-2,3.2100000000000004E-2,1.1200000000000001E-5,3.8860738255033555E-4]
[null,null,"0–999 TEU","tonne.km",3.6751615302013423E-2,3.6299999999999999E-2,1.2320000000000001E-5,4.3929530201342282E-4]
[null,null,"Average","tonne.km",1.6118569798657719E-2,1.592E-2,5.6000000000000006E-6,1.9296979865771811E-4]
[null,"Vehicle transport","4000+ CEU","tonne.km",3.2398918120805371E-2,3.2000000000000001E-2,1.1200000000000001E-5,3.8771812080536913E-4]
[null,null,"0–3999 CEU","tonne.km",5.8316221208053687E-2,5.7599999999999998E-2,1.9040000000000001E-5,6.971812080536912E-4]
[null,null,"Average","tonne.km",3.8522957583892618E-2,3.805E-2,1.2320000000000001E-5,4.6063758389261748E-4]
[null,"RoRo-Ferry","2000+ LM","tonne.km",5.0116162416107383E-2,4.9500000000000002E-2,1.6800000000000002E-5,5.9936241610738258E-4]
[null,null,"0–1999 LM","tonne.km",6.1050243892617449E-2,6.0299999999999999E-2,2.0160000000000003E-5,7.3008389261744965E-4]
[null,null,"Average","tonne.km",5.1583947651006712E-2,5.0950000000000002E-2,1.6800000000000002E-5,6.1714765100671139E-4]
[null,"Large RoPax ferry","Average","tonne.km",0.37612309516778525,0.3715,1.2432E-4,4.4987751677852354E-3]
[null,"Refrigerated cargo"," All dwt","tonne.km",1.3060990067114094E-2,1.29E-2,4.4800000000000003E-6,1.5651006711409396E-4]
[]
[]
["FAQs"]
["My organisation has previously reported using aviation factors without the distance uplift or indirect effects from non-CO2 emissions. What should I do?"]
["All the factors include the distance uplift of 8% to compensate for planes not flying using the most direct route (such as flying around international airspace and stacking). Historical factors have also included a distance uplift, though it was 9% for 2012 and before. Users should include the distance uplift of 8%, or remove it manually in exceptional cases where they do not wish to include it. \nUsers should also generally use the ‘including indirect effects of non-CO2 emissions’ factors, which incorporate a 70% increase in CO2 emissions to approximate the indirect impact of non-CO2 emissions from aviation (such as water vapour, contrails and NOx). If the user’s historical data do not include these indirect effects, then they should rebaseline their historical dataset to include the effect going forward. However, users should be aware of the significant scientific uncertainty surrounding the quantification of these impacts. If organisations do not wish to include the indirect effects, then they should continue to select the ‘Direct effects from CO2, CH4 and N2O emissions only’ factors."]
["Tell me more about the indirect effect of aviation emissions"]
["Indirect effects refer to the contribution that non-CO2 emissions (e.g. water vapour, contrails, NOx) have towards climate change. Scientific evidence is still emerging, however the effect of releasing these emissions at high altitude is likely to be greater than releases at ground level. The studies used in calculation of these factors provide a multiplier to account for indirect effects but do not distinguish the effects at different altitudes or during different phases of the flight. The multiplier is therefore recommended to be applied equally to all flights irrespective of distance, altitude or phase of the flight, albeit accepting the approximations involved in this approach. Similarly, due to lower flight altitudes, the non-CO2 effects are likely to be less pronounced for turboprops than for commercial jet aircraft, but again the scientific evidence does not provide a mechanism to treat them differently, so the recommendation remains to apply the multiplier equally to all flights. Aviation is the only form of transport where indirect effects of non-CO2 emissions are considered to be significant."]
["Tell me more about the international flight factors that were introduced in 2015"]
["In the 2015 update, a brand new set of aviation factors were introduced where aviation factors are now being presented for international flights between non-UK destinations. This analysis was only possible for passenger air travel. However, in the interests of consistency with the air-freight travel, international freight factors have been included this year. These factors have been set equal to the current UK, long-haul freight factors."]
["Which tables do I need to use to capture all the emissions resulting from the use of my plug-in electric vehicles?"]
["Please refer to the 'Passenger vehicles' FAQ for tables providing this information."]
["Note: The Plug-in Hybrid Electric Vehicle category also includes Range-Extended Electric Vehicles (also known as REEVs, ER-EVs or REX)."]
[]
["Why are emission factors for certain types of electric vehicle missing?"]
["At the moment there are only a limited number of electric vehicle models on the market, and certain categories are not yet represented by battery electric vehicle or plug-in hybrid electric vehicles.  Emission factors  will be added in future updates for these vehicle types, when models in these categories become available in the UK market/fleet."]
[]
[]
["For information about how the conversion factors have been derived, please refer to the 'Methodology paper' that accompanies the conversion factors."]

{"sheet":"TR-IntraRegion Distances","index":34,"n_rows":14,"n_cols":10,"rows_kept":14,"cut":false,"hidden":true,"merged":[]}
["INTRA-REGIONAL DISTANCES"]
[]
["Default Road distances between countries for intra-regional shipping, derived from lat-long coordinates."]
["Source for distance calculator:"]
["https://www.anycalculator.com/longitude.htm"]
["https://www.omnicalculator.com/other/latitude-longitude-distance"]
[]
[]
[]
["Transport step","Origin country","Origin region","Destination country","Destination region","Origin Latitude","Origin Longitude","Destination Latitude","Destination Longitude","Road Distance (km)"]
["Transport 1",{"$f":"TR1OgCountry","v":{"$error":"#N/A"}},{"$f":"TR1OgReg","v":{"$error":"#N/A"}},{"$f":"TR1DestCountry","v":{"$error":"#N/A"}},{"$f":"TR1DestReg","v":{"$error":"#N/A"}},{"$f":"INDEX(Coordinates[Lat],MATCH(B11,Coordinates[IFC Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Coordinates[Long],MATCH(B11,Coordinates[IFC Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Coordinates[Lat],MATCH(D11,Coordinates[IFC Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Coordinates[Long],MATCH(D11,Coordinates[IFC Country],0))","v":{"$error":"#N/A"}},{"$f":"IF(IntraRegionalDistances[[#This Row],[Origin country]]=IntraRegionalDistances[[#This Row],[Destination country]],0,\nACOS(COS(RADIANS(90-IntraRegionalDistances[[#This Row],[Origin Latitude]])) * COS(RADIANS(90-IntraRegionalDistances[[#This Row],[Destination Latitude]])) + SIN(RADIANS(90-IntraRegionalDistances[[#This Row],[Origin Latitude]])) * SIN(RADIANS(90-IntraRegionalDistances[[#This Row],[Destination Latitude]])) * COS(RADIANS(IntraRegionalDistances[[#This Row],[Origin Longitude]]-IntraRegionalDistances[[#This Row],[Destination Longitude]]))) * 6371)","v":{"$error":"#N/A"}}]
["Transport 2",{"$f":"TR2OgCountry","v":{"$error":"#N/A"}},{"$f":"TR2OgReg","v":{"$error":"#N/A"}},{"$f":"TR2DestCountry","v":{"$error":"#N/A"}},{"$f":"TR2DestReg","v":{"$error":"#N/A"}},{"$f":"INDEX(Coordinates[Lat],MATCH(B12,Coordinates[IFC Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Coordinates[Long],MATCH(B12,Coordinates[IFC Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Coordinates[Lat],MATCH(D12,Coordinates[IFC Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Coordinates[Long],MATCH(D12,Coordinates[IFC Country],0))","v":{"$error":"#N/A"}},{"$f":"IF(IntraRegionalDistances[[#This Row],[Origin country]]=IntraRegionalDistances[[#This Row],[Destination country]],0,\nACOS(COS(RADIANS(90-IntraRegionalDistances[[#This Row],[Origin Latitude]])) * COS(RADIANS(90-IntraRegionalDistances[[#This Row],[Destination Latitude]])) + SIN(RADIANS(90-IntraRegionalDistances[[#This Row],[Origin Latitude]])) * SIN(RADIANS(90-IntraRegionalDistances[[#This Row],[Destination Latitude]])) * COS(RADIANS(IntraRegionalDistances[[#This Row],[Origin Longitude]]-IntraRegionalDistances[[#This Row],[Destination Longitude]]))) * 6371)","v":{"$error":"#N/A"}}]
["Transport 3",{"$f":"TR3OgCountry","v":{"$error":"#N/A"}},{"$f":"TR3OgReg","v":{"$error":"#N/A"}},{"$f":"TR3DestCountry","v":{"$error":"#N/A"}},{"$f":"TR3DestReg","v":{"$error":"#N/A"}},{"$f":"INDEX(Coordinates[Lat],MATCH(B13,Coordinates[IFC Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Coordinates[Long],MATCH(B13,Coordinates[IFC Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Coordinates[Lat],MATCH(D13,Coordinates[IFC Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Coordinates[Long],MATCH(D13,Coordinates[IFC Country],0))","v":{"$error":"#N/A"}},{"$f":"IF(IntraRegionalDistances[[#This Row],[Origin country]]=IntraRegionalDistances[[#This Row],[Destination country]],0,\nACOS(COS(RADIANS(90-IntraRegionalDistances[[#This Row],[Origin Latitude]])) * COS(RADIANS(90-IntraRegionalDistances[[#This Row],[Destination Latitude]])) + SIN(RADIANS(90-IntraRegionalDistances[[#This Row],[Origin Latitude]])) * SIN(RADIANS(90-IntraRegionalDistances[[#This Row],[Destination Latitude]])) * COS(RADIANS(IntraRegionalDistances[[#This Row],[Origin Longitude]]-IntraRegionalDistances[[#This Row],[Destination Longitude]]))) * 6371)","v":{"$error":"#N/A"}}]
["Transport 4",{"$f":"TR4OgCountry","v":{"$error":"#N/A"}},{"$f":"TR4OgReg","v":{"$error":"#N/A"}},{"$f":"TR4DestCountry","v":{"$error":"#N/A"}},{"$f":"TR4DestReg","v":{"$error":"#N/A"}},{"$f":"INDEX(Coordinates[Lat],MATCH(B14,Coordinates[IFC Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Coordinates[Long],MATCH(B14,Coordinates[IFC Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Coordinates[Lat],MATCH(D14,Coordinates[IFC Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Coordinates[Long],MATCH(D14,Coordinates[IFC Country],0))","v":{"$error":"#N/A"}},{"$f":"IF(IntraRegionalDistances[[#This Row],[Origin country]]=IntraRegionalDistances[[#This Row],[Destination country]],0,\nACOS(COS(RADIANS(90-IntraRegionalDistances[[#This Row],[Origin Latitude]])) * COS(RADIANS(90-IntraRegionalDistances[[#This Row],[Destination Latitude]])) + SIN(RADIANS(90-IntraRegionalDistances[[#This Row],[Origin Latitude]])) * SIN(RADIANS(90-IntraRegionalDistances[[#This Row],[Destination Latitude]])) * COS(RADIANS(IntraRegionalDistances[[#This Row],[Origin Longitude]]-IntraRegionalDistances[[#This Row],[Destination Longitude]]))) * 6371)","v":{"$error":"#N/A"}}]

{"sheet":"TR-Road-con","index":35,"n_rows":168,"n_cols":16,"rows_kept":168,"cut":false,"hidden":true,"merged":[]}
[]
[null,"Road conditions"]
[null,"Adjustment factors to account for differences in road conditions in different countries."]
[]
[null,null,null,null,null,null,"Response to the survey question “In your country, what is the quality (extensiveness and condition) of road infrastructure?” "]
[null,null,null,null,null,null,"[1 = extremely poor—among the worst in the world; 7 = extremely good—among the best in the world]"]
[null,"Results table",null,null,null,null,"Source: WEF Global Competitiveness Index 4.0, 2019 values, https://prosperitydata360.worldbank.org/en/dataset/WEF+GCI",null,null,null,null,null,null,"Regional average"]
[null,"Region","Country","Adjustment","Road conditions",null,"Country","UN Region","IFC region","Road conditions","Road conditions label","Adjustment",null,"Row Labels","Average of Road conditions","Average of Adjustment"]
[null,"Sub-Saharan Africa","Angola",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":2.3020669167313948E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Poor"},null,"Angola","Sub-Saharan Africa","Sub-Saharan Africa",2.15,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Poor"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":2.3020669167313948E-2},null,"East Asia and Pacific",4.7311764705882347,1.0562424676767579E-2]
[null,"Sub-Saharan Africa","Benin",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Albania","Southern Europe","Europe and Central Asia",3.86,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2},null,"Europe and Central Asia",4.5161538461538475,1.1421793548398087E-2]
[null,"Sub-Saharan Africa","Botswana",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"United Arab Emirates","Western Asia","Middle East and North Africa",6.01,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3},null,"Latin America and Caribbean",3.6436363636363627,1.5486631985283933E-2]
[null,"Sub-Saharan Africa","Burkina Faso",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Argentina","Latin America and the Caribbean","Latin America and Caribbean",3.61,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2},null,"Middle East and North Africa",3.9674999999999998,1.3236884771205522E-2]
[null,"Sub-Saharan Africa","Burundi",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Armenia","Western Asia","Middle East and North Africa",3.64,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2},null,"South Asia",3.7533333333333334,1.4579757139298835E-2]
[null,"Sub-Saharan Africa","Cabo Verde",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Australia","Australia and New Zealand","East Asia and Pacific",4.93,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3},null,"Sub-Saharan Africa",3.33,1.6791546922040761E-2]
[null,"Sub-Saharan Africa","Cameroon",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":2.3020669167313948E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Poor"},null,"Austria","Western Europe","Europe and Central Asia",6.01,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3},null,"North America",5.25,9.2082676669255834E-3]
[null,"Sub-Saharan Africa","Central African Republic",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.6791546922040761E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Azerbaijan","Western Asia","Europe and Central Asia",5.16,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3},null,"Grand Total",4.0667375886524813,1.3453213754515416E-2]
[null,"Sub-Saharan Africa","Chad",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":2.3020669167313948E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Poor"},null,"Burundi","Sub-Saharan Africa","Sub-Saharan Africa",3.94,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Sub-Saharan Africa","Comoros",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.6791546922040761E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Belgium","Western Europe","Europe and Central Asia",4.3899999999999997,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2},null,"Adjustment by road conditions"]
[null,"Sub-Saharan Africa","Congo",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.6791546922040761E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Benin","Sub-Saharan Africa","Sub-Saharan Africa",3.23,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2},null,"Source: https://www.sciencedirect.com/science/article/pii/S1877705815034281"]
[null,"Sub-Saharan Africa","Cote d'Ivoire",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Burkina Faso","Sub-Saharan Africa","Sub-Saharan Africa",2.77,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2},null,"Road conditions","CO2e g/h/km","Adjustment"]
[null,"Sub-Saharan Africa","Democratic Republic of the Congo",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":2.3020669167313948E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Poor"},null,"Bangladesh","Southern Asia","South Asia",3.22,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2},null,"Very poor",21393.72,{"$f":"(RoadConditionsAdj[[#This Row],[CO2e g/h/km]]-$O$26)/$O$26","v":2.7624803000776736E-2}]
[null,"Sub-Saharan Africa","Equatorial Guinea",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.6791546922040761E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Bulgaria","Eastern Europe","Europe and Central Asia",3.41,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2},null,"Poor",20999.81,{"$f":"(RoadConditionsAdj[[#This Row],[CO2e g/h/km]]-$O$26)/$O$26","v":8.7037511149880183E-3}]
[null,"Sub-Saharan Africa","Eritrea",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.6791546922040761E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Bahrain","Western Asia","Europe and Central Asia",5.23,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3},null,"Fair",20941.93,{"$f":"(RoadConditionsAdj[[#This Row],[CO2e g/h/km]]-$O$26)/$O$26","v":5.9235462886330888E-3}]
[null,"Sub-Saharan Africa","Eswatini",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Bosnia and Herzegovina","Southern Europe","Europe and Central Asia",2.85,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2},null,"Good",20871.099999999999,{"$f":"(RoadConditionsAdj[[#This Row],[CO2e g/h/km]]-$O$26)/$O$26","v":2.5213018544464763E-3}]
[null,"Sub-Saharan Africa","Ethiopia",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Bolivia (Plurinational State of)","Latin America and the Caribbean","Latin America and Caribbean",3.48,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2},null,"Very good",20829.53,{"$f":"(RoadConditionsAdj[[#This Row],[CO2e g/h/km]]-$O$26)/$O$26","v":5.2453069633362904E-4}]
[null,"Sub-Saharan Africa","Gabon",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":2.3020669167313948E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Poor"},null,"Brazil","Latin America and the Caribbean","Latin America and Caribbean",3.01,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2},null,"Excellent",20818.61,{"$f":"(RoadConditionsAdj[[#This Row],[CO2e g/h/km]]-$O$26)/$O$26","v":0}]
[null,"Sub-Saharan Africa","Gambia",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Barbados","Latin America and the Caribbean","Latin America and Caribbean",3.16,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Sub-Saharan Africa","Ghana",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Brunei Darussalam","South-eastern Asia","East Asia and Pacific",4.97,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Sub-Saharan Africa","Guinea",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Botswana","Sub-Saharan Africa","Sub-Saharan Africa",3.79,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2},null,"Mapping"]
[null,"Sub-Saharan Africa","Guinea-Bissau",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.6791546922040761E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Canada","Northern America","North America",5.03,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3},null,"World Bank index","Adjustment","Road conditions"]
[null,"Sub-Saharan Africa","Kenya",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Switzerland","Western Europe","Europe and Central Asia",6.28,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3},null,1,{"$f":"P21","v":2.7624803000776736E-2},"Very  poor"]
[null,"Sub-Saharan Africa","Lesotho",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Chile","Latin America and the Caribbean","Latin America and Caribbean",5.21,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3},null,2,{"$f":"O31-($O$31/6)","v":2.3020669167313948E-2},"Poor"]
[null,"Sub-Saharan Africa","Liberia",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.6791546922040761E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"China","Eastern Asia","East Asia and Pacific",4.58,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3},null,3,1.841653533385116E-2,"Fair"]
[null,"Sub-Saharan Africa","Madagascar",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":2.3020669167313948E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Poor"},null,"Cote d'Ivoire","Sub-Saharan Africa","Sub-Saharan Africa",3.59,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2},null,4,1.3812401500388372E-2,"Good"]
[null,"Sub-Saharan Africa","Malawi",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Cameroon","Sub-Saharan Africa","Sub-Saharan Africa",2.44,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Poor"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":2.3020669167313948E-2},null,5,{"$f":"O34-($O$31/6)","v":9.2082676669255834E-3},"Very good"]
[null,"Sub-Saharan Africa","Mali",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Democratic Republic of the Congo","Sub-Saharan Africa","Sub-Saharan Africa",2.1,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Poor"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":2.3020669167313948E-2},null,6,4.6041338334627943E-3,"Excellent"]
[null,"Sub-Saharan Africa","Mauritania",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":2.3020669167313948E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Poor"},null,"Colombia","Latin America and the Caribbean","Latin America and Caribbean",3.38,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2},null,7,0,"Excellent"]
[null,"Sub-Saharan Africa","Mauritius",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Cabo Verde","Sub-Saharan Africa","Sub-Saharan Africa",3.97,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Sub-Saharan Africa","Mozambique",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":2.3020669167313948E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Poor"},null,"Costa Rica","Latin America and the Caribbean","Latin America and Caribbean",2.98,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Sub-Saharan Africa","Namibia",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Cyprus","Western Asia","Europe and Central Asia",5.0599999999999996,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Sub-Saharan Africa","Niger",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.6791546922040761E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Czech Republic","Eastern Europe","Europe and Central Asia",3.91,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Sub-Saharan Africa","Nigeria",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Germany","Western Europe","Europe and Central Asia",5.3,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Sub-Saharan Africa","Rwanda",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Denmark","Northern Europe","Europe and Central Asia",5.57,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,"Sub-Saharan Africa","Sao Tome and Principe",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.6791546922040761E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Dominican Republic","Latin America and the Caribbean","Latin America and Caribbean",4.7,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Sub-Saharan Africa","Senegal",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Algeria","Northern Africa","Middle East and North Africa",4.03,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Sub-Saharan Africa","Seychelles",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Ecuador","Latin America and the Caribbean","Latin America and Caribbean",4.9000000000000004,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Sub-Saharan Africa","Sierra Leone",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.6791546922040761E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Egypt","Northern Africa","Middle East and North Africa",5.08,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Sub-Saharan Africa","Somalia",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.6791546922040761E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Spain","Southern Europe","Europe and Central Asia",5.7,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,"Sub-Saharan Africa","South Africa",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Estonia","Northern Europe","Europe and Central Asia",4.6900000000000004,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Sub-Saharan Africa","South Sudan",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.6791546922040761E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Ethiopia","Sub-Saharan Africa","Sub-Saharan Africa",3.02,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Sub-Saharan Africa","Sudan",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.6791546922040761E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Finland","Northern Europe","Europe and Central Asia",5.26,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Sub-Saharan Africa","Togo",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.6791546922040761E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"France","Western Europe","Europe and Central Asia",5.43,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Sub-Saharan Africa","Uganda",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Gabon","Sub-Saharan Africa","Sub-Saharan Africa",2.48,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Poor"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":2.3020669167313948E-2}]
[null,"Sub-Saharan Africa","United Republic of Tanzania",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"United Kingdom","Western Europe","Europe and Central Asia",4.8600000000000003,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Sub-Saharan Africa","Zambia",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Georgia","Western Asia","Europe and Central Asia",3.79,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Sub-Saharan Africa","Zimbabwe",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Ghana","Sub-Saharan Africa","Sub-Saharan Africa",2.96,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Latin America and Caribbean","Antigua and Barbuda",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.5486631985283933E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Guinea","Sub-Saharan Africa","Sub-Saharan Africa",3.7,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Latin America and Caribbean","Argentina",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Gambia","Sub-Saharan Africa","Sub-Saharan Africa",3.75,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Latin America and Caribbean","Bahamas",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.5486631985283933E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Greece","Southern Europe","Europe and Central Asia",4.6399999999999997,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Latin America and Caribbean","Barbados",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Guatemala","Latin America and the Caribbean","Latin America and Caribbean",2.4500000000000002,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Poor"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":2.3020669167313948E-2}]
[null,"Latin America and Caribbean","Belize",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.5486631985283933E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Hong Kong SAR, China","Eastern Asia","East Asia and Pacific",6.14,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,"Latin America and Caribbean","Bolivia (Plurinational State of)",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Honduras","Latin America and the Caribbean","Latin America and Caribbean",4.0599999999999996,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Latin America and Caribbean","Brazil",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Croatia","Southern Europe","Europe and Central Asia",5.6,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,"Latin America and Caribbean","Chile",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Haiti","Latin America and the Caribbean","Latin America and Caribbean",2.14,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Poor"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":2.3020669167313948E-2}]
[null,"Latin America and Caribbean","Colombia",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Hungary","Eastern Europe","Europe and Central Asia",4.0199999999999996,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Latin America and Caribbean","Costa Rica",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Indonesia","South-eastern Asia","East Asia and Pacific",4.16,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Latin America and Caribbean","Dominica",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.5486631985283933E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"India","Southern Asia","South Asia",4.5199999999999996,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Latin America and Caribbean","Dominican Republic",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Ireland","Northern Europe","Europe and Central Asia",4.4000000000000004,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Latin America and Caribbean","Ecuador",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Iran, Islamic Rep.","Southern Asia","South Asia",3.89,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Latin America and Caribbean","El Salvador",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Iceland","Northern Europe","Europe and Central Asia",4.12,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Latin America and Caribbean","Grenada",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.5486631985283933E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Israel","Western Asia","Europe and Central Asia",4.8600000000000003,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Latin America and Caribbean","Guatemala",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":2.3020669167313948E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Poor"},null,"Italy","Southern Europe","Europe and Central Asia",4.41,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Latin America and Caribbean","Guyana",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.5486631985283933E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Jamaica","Latin America and the Caribbean","Latin America and Caribbean",3.94,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Latin America and Caribbean","Haiti",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":2.3020669167313948E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Poor"},null,"Jordan","Western Asia","Europe and Central Asia",4.18,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Latin America and Caribbean","Honduras",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Japan","Eastern Asia","East Asia and Pacific",6.09,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,"Latin America and Caribbean","Jamaica",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Kazakhstan","Central Asia","Europe and Central Asia",3.59,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Latin America and Caribbean","Mexico",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Kenya","Sub-Saharan Africa","Sub-Saharan Africa",4.1100000000000003,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Latin America and Caribbean","Nicaragua",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Kyrgyzstan","Central Asia","Europe and Central Asia",3.05,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Latin America and Caribbean","Panama",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Cambodia","South-eastern Asia","East Asia and Pacific",3.56,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Latin America and Caribbean","Paraguay",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Korea, Rep.","Eastern Asia","East Asia and Pacific",5.9,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,"Latin America and Caribbean","Peru",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Kuwait","Western Asia","Europe and Central Asia",3.73,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Latin America and Caribbean","Saint Kitts and Nevis",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.5486631985283933E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Lao People's Democratic Republic","South-eastern Asia","East Asia and Pacific",3.66,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Latin America and Caribbean","Saint Lucia",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.5486631985283933E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Lebanon","Western Asia","Middle East and North Africa",2.59,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Latin America and Caribbean","Trinidad and Tobago",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Sri Lanka","Southern Asia","South Asia",3.94,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Latin America and Caribbean","Uruguay",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Lesotho","Sub-Saharan Africa","Sub-Saharan Africa",2.75,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Latin America and Caribbean","Venezuela (Bolivarian Republic of)",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Lithuania","Northern Europe","Europe and Central Asia",4.7699999999999996,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"South Asia","Bangladesh",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Luxembourg","Western Europe","Europe and Central Asia",5.54,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,"South Asia","Bhutan",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.4579757139298835E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Latvia","Northern Europe","Europe and Central Asia",3.58,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"South Asia","India",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Morocco","Northern Africa","Middle East and North Africa",4.6900000000000004,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"South Asia","Maldives",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.4579757139298835E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Moldova","Eastern Europe","Europe and Central Asia",2.56,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"South Asia","Myanmar",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.4579757139298835E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Madagascar","Sub-Saharan Africa","Sub-Saharan Africa",2.04,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Poor"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":2.3020669167313948E-2}]
[null,"South Asia","Nepal",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Mexico","Latin America and the Caribbean","Latin America and Caribbean",4.5,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"South Asia","Sri Lanka",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"North Macedonia","Southern Europe","Europe and Central Asia",3.37,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"South Asia","Pakistan",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Mali","Sub-Saharan Africa","Sub-Saharan Africa",3.19,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Europe and Central Asia","Armenia",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Malta","Southern Europe","Europe and Central Asia",3.33,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Europe and Central Asia","Austria",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":4.6041338334627943E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Excellent"},null,"Montenegro","Southern Europe","Europe and Central Asia",3.93,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Europe and Central Asia","Azerbaijan",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Mongolia","Eastern Asia","East Asia and Pacific",3.08,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Europe and Central Asia","Belgium",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Mozambique","Sub-Saharan Africa","Sub-Saharan Africa",2.4,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Poor"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":2.3020669167313948E-2}]
[null,"Europe and Central Asia","Bosnia and Herzegovina",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Mauritania","Sub-Saharan Africa","Sub-Saharan Africa",2.0299999999999998,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Poor"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":2.3020669167313948E-2}]
[null,"Europe and Central Asia","Bulgaria",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Mauritius","Sub-Saharan Africa","Sub-Saharan Africa",4.68,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Europe and Central Asia","Croatia",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":4.6041338334627943E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Excellent"},null,"Malawi","Sub-Saharan Africa","Sub-Saharan Africa",2.81,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Europe and Central Asia","Cyprus",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Malaysia","South-eastern Asia","East Asia and Pacific",5.34,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Europe and Central Asia","Czech Republic",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Namibia","Sub-Saharan Africa","Sub-Saharan Africa",5.31,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Europe and Central Asia","Denmark",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":4.6041338334627943E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Excellent"},null,"Nigeria","Sub-Saharan Africa","Sub-Saharan Africa",2.5299999999999998,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Europe and Central Asia","Estonia",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Nicaragua","Latin America and the Caribbean","Latin America and Caribbean",4.2300000000000004,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Europe and Central Asia","Finland",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Netherlands","Western Europe","Europe and Central Asia",6.43,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,"Europe and Central Asia","France",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Norway","Northern Europe","Europe and Central Asia",4.55,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Europe and Central Asia","Georgia",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Nepal","Southern Asia","South Asia",2.91,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Europe and Central Asia","Germany",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"New Zealand","Australia and New Zealand","East Asia and Pacific",4.46,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Europe and Central Asia","Greece",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Oman","Western Asia","Europe and Central Asia",5.73,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,"Europe and Central Asia","Hungary",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Pakistan","Southern Asia","South Asia",4.04,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Europe and Central Asia","Iceland",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Panama","Latin America and the Caribbean","Latin America and Caribbean",4.47,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Europe and Central Asia","Ireland",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Peru","Latin America and the Caribbean","Latin America and Caribbean",3.18,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Europe and Central Asia","Italy",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Philippines","South-eastern Asia","East Asia and Pacific",3.69,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Europe and Central Asia","Kazakhstan",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Poland","Eastern Europe","Europe and Central Asia",4.3099999999999996,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Europe and Central Asia","Kyrgyzstan",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Portugal","Southern Europe","Europe and Central Asia",5.99,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,"Europe and Central Asia","Latvia",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Paraguay","Latin America and the Caribbean","Latin America and Caribbean",2.6,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Europe and Central Asia","Lithuania",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Qatar","Western Asia","Europe and Central Asia",5.5,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,"Europe and Central Asia","Luxembourg",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":4.6041338334627943E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Excellent"},null,"Romania","Eastern Europe","Europe and Central Asia",2.95,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Europe and Central Asia","Malta",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Russian Federation","Eastern Europe","Europe and Central Asia",3.48,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Europe and Central Asia","Moldova",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Rwanda","Sub-Saharan Africa","Sub-Saharan Africa",4.8,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Europe and Central Asia","Netherlands",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":4.6041338334627943E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Excellent"},null,"Saudi Arabia","Western Asia","Europe and Central Asia",5.17,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Europe and Central Asia","Norway",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Senegal","Sub-Saharan Africa","Sub-Saharan Africa",4.1399999999999997,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Europe and Central Asia","Poland",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Singapore","South-eastern Asia","East Asia and Pacific",6.45,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,"Europe and Central Asia","Portugal",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":4.6041338334627943E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Excellent"},null,"El Salvador","Latin America and the Caribbean","Latin America and Caribbean",4.16,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Europe and Central Asia","Romania",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Serbia","Southern Europe","Europe and Central Asia",3.5,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Europe and Central Asia","Slovakia",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Slovakia","Eastern Europe","Europe and Central Asia",3.99,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Europe and Central Asia","Slovenia",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Slovenia","Southern Europe","Europe and Central Asia",4.95,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Europe and Central Asia","Spain",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":4.6041338334627943E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Excellent"},null,"Sweden","Northern Europe","Europe and Central Asia",5.32,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Europe and Central Asia","Sweden",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Eswatini","Sub-Saharan Africa","Sub-Saharan Africa",4.0199999999999996,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Europe and Central Asia","Switzerland",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":4.6041338334627943E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Excellent"},null,"Seychelles","Sub-Saharan Africa","Sub-Saharan Africa",4.0199999999999996,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Europe and Central Asia","Tajikistan",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Chad","Sub-Saharan Africa","Sub-Saharan Africa",1.94,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Poor"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":2.3020669167313948E-2}]
[null,"Europe and Central Asia","Turkey",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.1421793548398087E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Thailand","South-eastern Asia","East Asia and Pacific",4.4000000000000004,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Europe and Central Asia","Turkmenistan",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.1421793548398087E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Tajikistan","Central Asia","Europe and Central Asia",4.49,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Europe and Central Asia","Ukraine",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Trinidad and Tobago","Latin America and the Caribbean","Latin America and Caribbean",3.72,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Europe and Central Asia","United Kingdom",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Tunisia","Northern Africa","Middle East and North Africa",3.58,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Europe and Central Asia","Uzbekistan",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.1421793548398087E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Turkiye","Western Asia","Europe and Central Asia",5.0199999999999996,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"East Asia and Pacific","Australia",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Taiwan, China","Eastern Asia","East Asia and Pacific",5.61,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,"East Asia and Pacific","Cambodia",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"United Republic of Tanzania","Sub-Saharan Africa","Sub-Saharan Africa",4.0999999999999996,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"East Asia and Pacific","China",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Uganda","Sub-Saharan Africa","Sub-Saharan Africa",3.65,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"East Asia and Pacific","Fiji",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.0562424676767579E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Ukraine","Eastern Europe","Europe and Central Asia",3.02,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"East Asia and Pacific","Indonesia",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Uruguay","Latin America and the Caribbean","Latin America and Caribbean",3.71,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"East Asia and Pacific","Japan",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":4.6041338334627943E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Excellent"},null,"United States of America","Northern America","North America",5.47,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"East Asia and Pacific","Kiribati",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.0562424676767579E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Venezuela (Bolivarian Republic of)","Latin America and the Caribbean","Latin America and Caribbean",2.57,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"East Asia and Pacific","Lao People's Democratic Republic",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Viet Nam","South-eastern Asia","East Asia and Pacific",3.41,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"East Asia and Pacific","Malaysia",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Yemen","Western Asia","Middle East and North Africa",2.12,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Poor"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":2.3020669167313948E-2}]
[null,"East Asia and Pacific","Marshall Islands",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.0562424676767579E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"South Africa","Sub-Saharan Africa","Sub-Saharan Africa",4.54,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"East Asia and Pacific","Micronesia (Federated States of)",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.0562424676767579E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Zambia","Sub-Saharan Africa","Sub-Saharan Africa",3.44,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"East Asia and Pacific","Mongolia",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Zimbabwe","Sub-Saharan Africa","Sub-Saharan Africa",2.83,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"East Asia and Pacific","New Zealand",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"}]
[null,"East Asia and Pacific","Papua New Guinea",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.0562424676767579E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"}]
[null,"East Asia and Pacific","Philippines",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"}]
[null,"East Asia and Pacific","Samoa",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.0562424676767579E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"}]
[null,"East Asia and Pacific","Solomon Islands",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.0562424676767579E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"}]
[null,"East Asia and Pacific","Thailand",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"}]
[null,"East Asia and Pacific","Timor-Leste",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.0562424676767579E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"}]
[null,"East Asia and Pacific","Tonga",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.0562424676767579E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"}]
[null,"East Asia and Pacific","Tuvalu",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.0562424676767579E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"}]
[null,"East Asia and Pacific","Vanuatu",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.0562424676767579E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"}]
[null,"East Asia and Pacific","Viet Nam",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"}]
[null,"Middle East and North Africa","Algeria",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"}]
[null,"Middle East and North Africa","Egypt",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"}]
[null,"Middle East and North Africa","Lebanon",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"}]
[null,"Middle East and North Africa","Morocco",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"}]
[null,"Middle East and North Africa","Tunisia",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"}]
[null,"Middle East and North Africa","Yemen",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":2.3020669167313948E-2},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Poor"}]
[null,"North America","United States of America",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"}]
[null,"North America","Canada",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$f":"IFERROR(INDEX(Table161[Road conditions label],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),INDEX(Table3[Road conditions],MATCH(ROUND(GETPIVOTDATA(\"Average of Road conditions\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"}]

{"sheet":"TR-Road-dist","index":36,"n_rows":167,"n_cols":11,"rows_kept":167,"cut":false,"hidden":true,"merged":[]}
[null,"NATIONAL DISTANCES"]
[null,"National road distance within each country"]
[null,"Data from the Logistics Performance Index (LPI) - 2018:",null,null,"https://lpi.worldbank.org/"]
[null,"See annex 4 in \"LPI2018\":",null,null,"https://openknowledge.worldbank.org/server/api/core/bitstreams/628a4f9d-7faa-54bf-97b0-f6080c6d46cd/content"]
[null,"Country size data:",null,null,"https://en.wikipedia.org/wiki/List_of_countries_and_dependencies_by_area"]
[]
[null,"Country","Land distance (km)","Storage time (days)","Country size (km2)","SQRT of country size","km:km2 ratio","km:sqrt(km2) ratio","Estimate missing distance (km)",null,"Notes: "]
[null,"Algeria",0,4.07,2381741,{"$f":"SQRT(E8)","v":1543.2890202421579},null,{"$f":"IFERROR(C8/F8,\"\")","v":0},{"$f":"IF(C8=0,ROUNDUP(F8*AVERAGE($H$8:$H$167),0),C8)","v":1601}]
[null,"Angola",0,16.22,1246700,{"$f":"SQRT(E9)","v":1116.5572085656875},0,{"$f":"IFERROR(C9/F9,\"\")","v":0},{"$f":"IF(C9=0,ROUNDUP(F9*AVERAGE($H$8:$H$167),0),C9)","v":1159},null,"Concept for creating estimated land distances is to look at the relationship (ratio) between distance and country size, then apply the average to those missing km data in col D"]
[null,"Antigua and Barbuda",0,4.16,442,{"$f":"SQRT(E10)","v":21.023796041628639},"",{"$f":"IFERROR(C10/F10,\"\")","v":0},22,null,"Calculated the average European storage days from the full data set = 3.8"]
[null,"Argentina",265,4,2780400,1667.4531477675766,9.5310027334196518E-5,0.15892500509221977,265]
[null,"Armenia",300,25,29743,{"$f":"SQRT(E12)","v":172.46158992656888},{"$f":"C12/E12","v":1.0086406885653766E-2},{"$f":"IFERROR(C12/F12,\"\")","v":1.7395177681461405},300]
[null,"Australia",75,1,7692024,2773.4498372965031,9.7503595932618002E-6,2.7042133227514337E-2,75]
[null,"Austria",496,3,83871,289.60490327340801,"",1.7126781846360524,496]
[null,"Azerbaijan",2646,7,86600,294.27877939124323,null,8.9914740215846365,2646]
[null,"Bahamas",0,4.16,13943,118.0804810288305,"",0,123]
[null,"Bangladesh",0,7.71,147570,384.14840882138247,"",0,399]
[null,"Barbados",0,4.16,430,20.73644135332772,"",0,22]
[null,"Belgium",245,3,30528,174.72263734273244,"",1.4022224236428671,245]
[null,"Belize",0,4.16,22966,151.54537274361101,"",0,158]
[null,"Benin",75,14,114763,338.76688149817716,"",0.2213911810632633,75]
[null,"Bhutan",0,7.71,38394,195.94386951369518,"",0,204]
[null,"Bolivia (Plurinational State of)",0,4.16,1098581,1048.1321481569012,0,0,1088]
[null,"Bosnia and Herzegovina",0,8,51209,226.29405648403582,"",0,235]
[null,"Botswana",0,16.22,581730,762.71226553661768,0,0,792]
[null,"Brazil",366,5,8515767,2918.1787128275746,4.2979099827414255E-5,0.12542069421285157,366]
[null,"Bulgaria",1136,3,110879,332.98498464645519,"",3.4115652428176038,1136]
[null,"Burkina Faso",750,5,274222,523.66210479659492,2.7350103201056078E-3,1.4322212608669116,750]
[null,"Burundi",25,18,27834,166.83524807426036,"",0.14984843004442444,25]
[null,"Cabo Verde",0,16.22,4033,63.505905237229712,"",0,66]
[null,"Cambodia",0,6.88,181035,425.48207952862128,"",0,442]
[null,"Cameroon",2092,13,475442,689.52302354598714,4.4001161024898932E-3,3.0339813589422167,2092]
[null,"Canada",766,3,9984670,3159.852844674891,7.6717608093206883E-5,0.2424163521699732,766]
[null,"Central African Republic",0,16.22,622984,789.2933548434321,0,0,819]
[null,"Chad",0,16.22,1284000,1133.1372379372235,0,0,1176]
[null,"Chile",300,3,756102,869.54125836558205,3.9677186411357196E-4,0.34500950600537317,300]
[null,"China",707,6,9596961,3097.8962216317059,7.3669154224967679E-5,0.22821939452433079,707]
[null,"Colombia",237,2,1141748,1068.5260876553273,2.0757645294758564E-4,0.22180085515745376,237]
[null,"Comoros",0,16.22,1862,43.150898020782833,"",0,45]
[null,"Congo",0,16.22,342000,584.80766068853779,0,0,607]
[null,"Costa Rica",0,4.16,51100,226.05309110914629,"",0,235]
[null,"Cote d'Ivoire",1250,14,322463,567.85825696206973,3.8764137280866331E-3,2.2012535428951141,1250]
[null,"Croatia",0,8,56594,237.8949347926517,"",0,247]
[null,"Cyprus",0,8,9251,96.182118920306593,"",0,100]
[null,"Czech Republic",750,3,78865,280.82912954321529,"",2.670663122518373,750]
[null,"Democratic Republic of the Congo",3500,18,2344858,1531.2929177658989,1.4926276985642627E-3,2.2856502236726683,3500]
[null,"Denmark",75,2,43094,207.59094392578882,"",0.36128743663698337,75]
[null,"Dominica",0,4.16,751,27.404379212089442,"",0,29]
[null,"Dominican Republic",1250,6,48671,220.61504935067327,"",5.6659779270683073,1250]
[null,"Ecuador",0,4.16,276841,526.1568207293335,0,0,546]
[null,"Egypt",792,5,1002450,1001.2242506052278,7.9006434236121505E-4,0.79103157911051969,792]
[null,"El Salvador",0,4.16,21041,145.05516192124981,"",0,151]
[null,"Equatorial Guinea",0,16.22,28051,167.48432762500497,"",0,174]
[null,"Eritrea",0,16.22,117600,342.92856398964494,"",0,356]
[null,"Estonia",968,4,45227,212.66640543348637,"",4.5517297291355785,968]
[null,"Eswatini",0,16.22,17364,131.77253128023307,"",0,137]
[null,"Ethiopia",750,25,1104300,1050.8567932882197,6.7916327085031244E-4,0.71370333692489785,750]
[null,"Fiji",0,6.88,18272,135.17396198972642,"",0,141]
[null,"Finland",785,5,338424,581.74221094914537,2.3195754438219513E-3,1.3493949471523272,785]
[null,"France",673,3,640679,800.42426250083145,1.050448040282263E-3,0.84080409793837418,673]
[null,"Gabon",3500,25,267668,517.36640787743454,1.3075899995516834E-2,6.7650314104451077,3500]
[null,"Gambia",0,16.22,11295,106.2779375035101,"",0,111]
[null,"Georgia",1225,4,69700,264.0075756488817,{"$f":"C63/E63","v":1.7575322812051649E-2},4.6400183668562427,1225]
[null,"Germany",569,2,357114,597.59016056156747,1.5933287409622698E-3,0.95215757813900292,569]
[null,"Ghana",1620,16.22,238533,488.39840294579182,6.791513123970268E-3,3.316964163332464,1620]
[null,"Greece",841,3,131990,363.30428018398021,"",2.3148640020814257,841]
[null,"Grenada",0,4.16,344,18.547236990991408,"",0,20]
[null,"Guatemala",150,4,108889,329.98333291243665,"",0.45456841312589424,150]
[null,"Guinea",0,16.22,245857,495.83969183598037,0,0,515]
[null,"Guinea-Bissau",0,16.22,36125,190.06577808748213,"",0,198]
[null,"Guyana",0,4.16,214969,463.6474954100367,0,0,481]
[null,"Haiti",25,4.16,27750,166.58331248957683,"",0.15007505629691603,25]
[null,"Honduras",0,4.16,112492,335.39827071706856,"",0,348]
[null,"Hungary",0,8,93028,305.00491799313664,"",0,{"$f":"IF(C74=0,ROUNDUP(F74*AVERAGE($H$8:$H$167),0),C74)","v":317}]
[null,"Iceland",0,8,103000,320.93613071762422,"",0,333]
[null,"India",569,6,3287263,1813.0810792681059,1.7309232635174003E-4,0.31383042187484006,569]
[null,"Indonesia",297,3,1910931,{"$f":"SQRT(E77)","v":1382.3642790523777},1.5542162432866493E-4,{"$f":"IFERROR(C77/F77,\"\")","v":0.21484930166424437},297]
[null,"Ireland",0,8,70273,265.09055056715999,"",0,275]
[null,"Italy",541,5,301336,548.94079826516816,1.7953380943531473E-3,0.98553432667008234,541]
[null,"Jamaica",0,4.16,10991,104.83797022071727,"",0,109]
[null,"Japan",25,2,377930,614.76011581754392,6.6149816103511233E-5,4.0666268609103794E-2,25]
[null,"Kazakhstan",2000,10,2724900,1650.72711251739,7.3397188887665602E-4,1.2115872967942971,2000]
[null,"Kenya",203,3,580367,761.81821978737162,3.4977867452835876E-4,0.26646776714878073,203]
[null,"Kiribati",0,7.71,811,28.478061731796284,"",0,30]
[null,"Kyrgyzstan",0,8,199951,447.15880847859859,"",0,464]
[null,"Lao People's Democratic Republic",750,3,236800,486.62100242385759,3.1672297297297299E-3,1.5412405059877246,750]
[null,"Latvia",2000,46,64559,254.08463156987673,"",7.8713930379924326,2000]
[null,"Lebanon",0,4.07,10452,102.23502335305646,"",0,107]
[null,"Lesotho",0,16.22,30355,174.22686360030707,"",0,181]
[null,"Liberia",0,16.22,111369,333.71994246673364,"",0,347]
[null,"Lithuania",1581,4,65300,255.53864678361276,"",6.1869310959401496,1581]
[null,"Luxembourg",471,3,2586,50.852728540364481,"",9.2620398849619754,471]
[null,"Madagascar",300,16.22,587041,766.18600874722324,5.1103755955716893E-4,0.39154982807702859,300]
[null,"Malawi",3500,88,118484,344.2150490609032,"",10.168062115670987,3500]
[null,"Malaysia",75,4,330803,575.15476178155734,2.2672103941016254E-4,0.13039968541281913,75]
[null,"Maldives",0,7.71,300,17.320508075688775,"",0,18]
[null,"Mali",0,16.22,1240192,1113.6390797740532,0,0,1156]
[null,"Malta",25,8,316,17.776388834631177,"",1.40635987615753,25]
[null,"Marshall Islands",0,6.88,181,13.45362404707371,"",0,14]
[null,"Mauritania",0,16.22,1030700,1015.2339631828714,0,0,1054]
[null,"Mauritius",52,7.71,2040,45.166359162544857,"",1.1512993512021239,52]
[null,"Mexico",3500,5,1964375,1401.561629040978,1.7817371937639199E-3,2.4972144838146599,3500]
[null,"Micronesia (Federated States of)",0,6.88,702,26.49528259898354,"",0,28]
[null,"Moldova",0,4,33847,183.97554185271477,null,0,191]
[null,"Mongolia",1250,14,1564110,1250.6438341910139,7.9917652850502844E-4,0.99948519780499268,1250]
[null,"Morocco",523,2,446550,668.24396742507145,1.1712014332101669E-3,0.78264829238229183,523]
[null,"Mozambique",75,3,801590,895.31558681841341,9.3564041467583179E-5,8.3769344691651607E-2,75]
[null,"Myanmar",683,4,676578,822.54361586483662,1.0094918841582197E-3,0.83035110458170891,683]
[null,"Namibia",3500,25,825615,908.63358951779901,4.2392640637585318E-3,3.8519377231667256,3500]
[null,"Nepal",1486,10,147181,383.64175997928066,"",3.8734052311725771,1486]
[null,"Netherlands",265,2,41850,204.57272545478784,"",1.2953828493552872,265]
[null,"New Zealand",0,6.88,270467,520.06441908671275,0,0,540]
[null,"Nicaragua",0,4.16,130373,361.0720149776219,"",0,375]
[null,"Niger",0,16.22,1267000,1125.6109452204166,0,0,1168]
[null,"Nigeria",61,6,923768,961.12850337506904,6.6033895956560526E-5,6.3467059592754033E-2,61]
[null,"Norway",75,8,323802,569.03602697896031,2.3162302888802416E-4,0.13180184811527421,75]
[null,"Pakistan",489,7,881912,939.10169843313565,5.5447709068478493E-4,0.52071037760434524,489]
[null,"Panama",300,2,75417,274.62155778452643,"",1.092412418093506,300]
[null,"Papua New Guinea",3500,2,462840,680.32345248418414,7.5620084694494856E-3,5.1446117096505155,3500]
[null,"Paraguay",25,3,406752,637.77111881928306,6.1462512784202662E-5,3.9199015543825412E-2,25]
[null,"Peru",512,2,1285216,1133.6736743878284,3.9837661529268235E-4,0.4516290812490415,512]
[null,"Philippines",36,6.88,300000,547.72255750516615,1.2E-4,6.5726706900619936E-2,36]
[null,"Poland",750,4,312679,559.17707392202692,2.3986260669888286E-3,1.3412567055719131,750]
[null,"Portugal",1601,3,92090,303.4633421024688,"",5.2757607851672548,1601]
[null,"Romania",835,3,238397,488.25915249998133,3.5025608543731673E-3,1.710157394335853,835]
[null,"Rwanda",2000,6,26338,162.28986413205232,"",12.323628531555343,2000]
[null,"Saint Kitts and Nevis",0,4.16,261,16.15549442140351,"",0,17]
[null,"Saint Lucia",0,4.16,616,24.819347291981714,"",0,26]
[null,"Samoa",0,6.88,2842,53.310411741047361,"",0,56]
[null,"Sao Tome and Principe",0,16.22,964,31.048349392520048,"",0,33]
[null,"Senegal",25,16.22,196722,443.53353875439905,"",{"$f":"IFERROR(C131/F131,\"\")","v":5.6365523270706763E-2},25]
[null,"Seychelles",0,7.71,452,21.2602916254693,"",0,23]
[null,"Sierra Leone",0,16.22,71740,267.84323773431356,"",0,278]
[null,"Slovakia",0,8,49037,221.44299492194375,"",0,230]
[null,"Slovenia",256,2,20273,142.38328553590833,"",1.797963848329923,256]
[null,"Solomon Islands",0,6.88,28896,169.98823488700623,"",0,177]
[null,"Somalia",0,16.22,637657,798.53428229475537,0,0,829]
[null,"South Africa",0,16.22,1221037,1105.0054298509126,0,0,{"$f":"IF(C138=0,ROUNDUP(F138*AVERAGE($H$8:$H$167),0),C138)","v":1147}]
[null,"South Sudan",0,16.22,644329,802.70106515439477,0,0,833]
[null,"Spain",298,2,505992,711.33114651335211,5.8894211766193929E-4,0.41893287178646882,298]
[null,"Sri Lanka",75,6,65610,256.14449047363871,"",0.29280348705262771,75]
[null,"Sudan",0,16.22,1861484,{"$f":"SQRT(E142)","v":1364.3621220189309},0,{"$f":"IFERROR(C142/F142,\"\")","v":0},1416]
[null,"Sweden",1025,8,450295,671.04023724363947,2.2762855461419735E-3,1.5274791929173777,1025]
[null,"Switzerland",750,3,41284,203.18464508914053,"",3.6912238110855391,750]
[null,"Tajikistan",0,8,143100,378.28560638755476,"",0,393]
[null,"Thailand",300,18,513120,716.32394906215438,5.8465855940130962E-4,0.41880492812333631,300]
[null,"Timor-Leste",0,6.88,14919,122.14335839496145,"",0,127]
[null,"Togo",0,16.22,56785,238.29603437741048,"",0,248]
[null,"Tonga",0,6.88,747,27.331300737432898,"",0,29]
[null,"Trinidad and Tobago",0,4.16,5130,71.62401831787993,"",0,75]
[null,"Tunisia",784,5,163610,404.48732983864898,{"$f":"C151/E151","v":4.7918831367275835E-3},1.93825601487379,784]
[null,"Turkey",1267,6,783562,885.19037500415698,1.6169747894869838E-3,1.4313305202782509,1267]
[null,"Turkmenistan",0,8,488100,698.64153898834275,null,0,725]
[null,"Tuvalu",0,6.88,26,5.0990195135927845,"",0,6]
[null,"Uganda",750,5,241550,491.47736468732717,3.1049472158973298E-3,1.5260112751624733,750]
[null,"Ukraine",0,8,603500,776.85262437607821,0,0,806]
[null,"United Kingdom",562,4,242495,492.43781333281061,2.317573558217695E-3,1.141260855246663,562]
[null,"United Republic of Tanzania",776,7,945087,972.15585170280178,8.2108842889596408E-4,0.79822592091667144,776]
[null,"United States of America",612,5,9525067,3086.2707269453858,6.4251516551012188E-5,0.19829757469323586,612]
[null,"Uruguay",0,4.16,176215,419.77970413063088,"",0,436]
[null,"Uzbekistan",1647,16,447400,668.87966032762574,3.6812695574430041E-3,2.4623263311569059,1647]
[null,"Vanuatu",0,6.88,12189,110.40380428228005,"",0,115]
[null,"Venezuela (Bolivarian Republic of)",422,7,916445,957.31133911596385,4.6047498758790761E-4,0.44081792699718669,422]
[null,"Viet Nam",477,9,331212,575.51020842379501,1.4401652114053838E-3,0.82882978098061133,477]
[null,"Yemen",0,4.07,527968,726.61406537445998,0,0,754]
[null,"Zambia",0,16.22,752612,867.53213196976174,0,0,900]
[null,"Zimbabwe",0,16.22,390757,625.105591080419,0,0,649]

{"sheet":"TR-Sea-dist","index":37,"n_rows":25129,"n_cols":4,"rows_kept":281,"cut":true,"hidden":true,"merged":[[2,0,2,6]],"bounds":{"rows_first":125,"rows_last":31,"rows_between":125,"halvings":4}}
["CERDI SEA DISTANCES"]
["Source:","The CERDI-seadistance database – Ferdi"]
["The CERDI Sea distances between countries is used for the IFC tool to get the default distance for in-between country transport (for sea shipping).\nThe road distances within origin country and the destination country (which would correspond in the CERDI source file to \"capitalport1\" and \"capitalport2\") are already accounted for in the IFC tool using other data."]
["Distances are in km."]
[]
[]
["IFC Tool: Origin country (ISO 1)","IFC Tool: Destination country (ISO 2)","IFC Tool: concatenate Origin country and Destination country","IFC Tool: Sea distance for in between countries shipping (km)"]
["Angola","Argentina","AngolaArgentina",7267.31]
["Angola","Armenia","AngolaArmenia",11553.9]
["Angola","Antigua and Barbuda","AngolaAntigua and Barbuda",8827.01]
["Angola","Australia","AngolaAustralia",13963.8]
["Angola","Austria","AngolaAustria",10958.5]
["Angola","Azerbaijan","AngolaAzerbaijan",11553.9]
["Angola","Burundi","AngolaBurundi",7519.91]
["Angola","Belgium","AngolaBelgium",9553.7199999999993]
["Angola","Benin","AngolaBenin",2971.04]
["Angola","Burkina Faso","AngolaBurkina Faso",2984.87]
["Angola","Bangladesh","AngolaBangladesh",13228.9]
["Angola","Bulgaria","AngolaBulgaria",11096.6]
["Angola","Bahamas","AngolaBahamas",10584.9]
["Angola","Bosnia and Herzegovina","AngolaBosnia and Herzegovina",10181.799999999999]
["Angola","Belize","AngolaBelize",11437.1]
["Angola","Bolivia (Plurinational State of)","AngolaBolivia (Plurinational State of)",11436.6]
["Angola","Brazil","AngolaBrazil",5871.96]
["Angola","Barbados","AngolaBarbados",8481.65]
["Angola","Bhutan","AngolaBhutan",13229.6]
["Angola","Botswana","AngolaBotswana",4006.4]
["Angola","Central African Republic","AngolaCentral African Republic",2432.09]
["Angola","Canada","AngolaCanada",9813.17]
["Angola","Switzerland","AngolaSwitzerland",8722.58]
["Angola","Chile","AngolaChile",11435.4]
["Angola","China","AngolaChina",17177.3]
["Angola","Cote d'Ivoire","AngolaCote d'Ivoire",3084.05]
["Angola","Cameroon","AngolaCameroon",2431.16]
["Angola","Democratic Republic of the Congo","AngolaDemocratic Republic of the Congo",1157.8399999999999]
["Angola","Congo","AngolaCongo",1331.71]
["Angola","Colombia","AngolaColombia",10116.5]
["Angola","Comoros","AngolaComoros",6684.8]
["Angola","Cabo Verde","AngolaCabo Verde",5502.02]
["Angola","Costa Rica","AngolaCosta Rica",10862.3]
["Angola","Cyprus","AngolaCyprus",11611.5]
["Angola","Czech Republic","AngolaCzech Republic",9809.65]
["Angola","Germany","AngolaGermany",9809.35]
["Angola","Dominica","AngolaDominica",8753.39]
["Angola","Denmark","AngolaDenmark",10610.7]
["Angola","Dominican Republic","AngolaDominican Republic",9708.48]
["Angola","Algeria","AngolaAlgeria",8121.05]
["Angola","Ecuador","AngolaEcuador",11862.8]
["Angola","Egypt","AngolaEgypt",11579.2]
["Angola","Eritrea","AngolaEritrea",10894.7]
["Angola","Spain","AngolaSpain",7650.03]
["Angola","Estonia","AngolaEstonia",11226.4]
["Angola","Ethiopia","AngolaEthiopia",10895.9]
["Angola","Finland","AngolaFinland",11242.6]
["Angola","Fiji","AngolaFiji",19061]
["Angola","France","AngolaFrance",8721.31]
["Angola","Micronesia (Federated States of)","AngolaMicronesia (Federated States of)",17159.2]
["Angola","Gabon","AngolaGabon",2026.62]
["Angola","United Kingdom","AngolaUnited Kingdom",9265.43]
["Angola","Georgia","AngolaGeorgia",11832]
["Angola","Ghana","AngolaGhana",2970.79]
["Angola","Guinea","AngolaGuinea",4037.75]
["Angola","Gambia","AngolaGambia",4688.08]
["Angola","Guinea-Bissau","AngolaGuinea-Bissau",4419.3]
["Angola","Equatorial Guinea","AngolaEquatorial Guinea",2190.9899999999998]
["Angola","Greece","AngolaGreece",10452.1]
["Angola","Grenada","AngolaGrenada",8592.06]
["Angola","Guatemala","AngolaGuatemala",12353.8]
["Angola","Guyana","AngolaGuyana",7909.34]
["Angola","Honduras","AngolaHonduras",11366]
["Angola","Croatia","AngolaCroatia",10877.8]
["Angola","Haiti","AngolaHaiti",10000.200000000001]
["Angola","Hungary","AngolaHungary",10958.5]
["Angola","Indonesia","AngolaIndonesia",12376.4]
["Angola","India","AngolaIndia",11736.6]
["Angola","Ireland","AngolaIreland",9374.0300000000007]
["Angola","Iceland","AngolaIceland",10503.2]
["Angola","Italy","AngolaItaly",9016.43]
["Angola","Jamaica","AngolaJamaica",10377.9]
["Angola","Japan","AngolaJapan",18152]
["Angola","Kazakhstan","AngolaKazakhstan",11553.9]
["Angola","Kenya","AngolaKenya",7717.9]
["Angola","Kyrgyzstan","AngolaKyrgyzstan",12155.5]
["Angola","Cambodia","AngolaCambodia",14094.5]
["Angola","Kiribati","AngolaKiribati",18840.3]
["Angola","Saint Kitts and Nevis","AngolaSaint Kitts and Nevis",8941.9]
["Angola","Lao People's Democratic Republic","AngolaLao People's Democratic Republic",14621]
["Angola","Lebanon","AngolaLebanon",11659.5]
["Angola","Liberia","AngolaLiberia",3129.55]
["Angola","Saint Lucia","AngolaSaint Lucia",8647.3799999999992]
["Angola","Sri Lanka","AngolaSri Lanka",10751.1]
["Angola","Lesotho","AngolaLesotho",4006.4]
["Angola","Lithuania","AngolaLithuania",11195.7]
["Angola","Luxembourg","AngolaLuxembourg",9497.1200000000008]
["Angola","Latvia","AngolaLatvia",11070.5]
["Angola","Morocco","AngolaMorocco",7607.41]
["Angola","Moldova","AngolaMoldova",11400.3]
["Angola","Madagascar","AngolaMadagascar",6574.06]
["Angola","Maldives","AngolaMaldives",10204.6]
["Angola","Mexico","AngolaMexico",13432.2]
["Angola","Marshall Islands","AngolaMarshall Islands",19571.099999999999]
["Angola","Mali","AngolaMali",4038.68]
["Angola","Malta","AngolaMalta",9496.44]
["Angola","Myanmar","AngolaMyanmar",12346.6]
["Angola","Mongolia","AngolaMongolia",17180]
["Angola","Mozambique","AngolaMozambique",4486.93]
["Angola","Mauritania","AngolaMauritania",5626.29]
["Angola","Mauritius","AngolaMauritius",6840.64]
["Angola","Malawi","AngolaMalawi",7519.91]
["Angola","Malaysia","AngolaMalaysia",12553.1]
["Angola","Namibia","AngolaNamibia",1053.5]
["Angola","Niger","AngolaNiger",2971.99]
["Angola","Nigeria","AngolaNigeria",2937.66]
["Angola","Nicaragua","AngolaNicaragua",10852.6]
["Angola","Netherlands","AngolaNetherlands",9495.94]
["Angola","Norway","AngolaNorway",10261]
["Angola","Nepal","AngolaNepal",13229.6]
["Angola","New Zealand","AngolaNew Zealand",17394.099999999999]
["Angola","Pakistan","AngolaPakistan",12153.9]
["Angola","Panama","AngolaPanama",10586.7]
["Angola","Peru","AngolaPeru",12497.2]
["Angola","Philippines","AngolaPhilippines",15461.7]
["Angola","Papua New Guinea","AngolaPapua New Guinea",16188.3]
["Angola","Poland","AngolaPoland",11048.4]
["Angola","Portugal","AngolaPortugal",7770.33]
["Angola","El Salvador","AngolaEl Salvador",12067.5]
["Armenia","Netherlands","ArmeniaNetherlands",6287.68]
["Australia","Guinea-Bissau","AustraliaGuinea-Bissau",18371.900000000001]
["Austria","Grenada","AustriaGrenada",9111.51]
["Azerbaijan","Central African Republic","AzerbaijanCentral African Republic",10213.4]
["Burundi","Japan","BurundiJapan",12350.5]
["Belgium","Kyrgyzstan","BelgiumKyrgyzstan",11890.3]
["Burkina Faso","China","Burkina FasoChina",20243.7]
["Bangladesh","Democratic Republic of the Congo","BangladeshDemocratic Republic of the Congo",14357.4]
["Bulgaria","Namibia","BulgariaNamibia",12011]
["Bosnia and Herzegovina","Saint Lucia","Bosnia and HerzegovinaSaint Lucia",8221.4]
["Belize","Lithuania","BelizeLithuania",8778.01]
["Belize","Venezuela (Bolivarian Republic of)","BelizeVenezuela (Bolivarian Republic of)",2213.15]
["Brazil","New Zealand","BrazilNew Zealand",15286.8]
["Barbados","Malawi","BarbadosMalawi",14719.2]
["Botswana","Gabon","BotswanaGabon",5966.96]
["Central African Republic","Ghana","Central African RepublicGhana",974.82600000000002]
["Switzerland","Armenia","SwitzerlandArmenia",3530.2]
["Chile","Germany","ChileGermany",12511.9]
["China","Pakistan","ChinaPakistan",9671.41]
["Cote d'Ivoire","Barbados","Cote d'IvoireBarbados",5921.39]
["Democratic Republic of the Congo","Croatia","Democratic Republic of the CongoCroatia",10335.299999999999]
["Democratic Republic of the Congo","Slovakia","Democratic Republic of the CongoSlovakia",10405.1]
["Colombia","Paraguay","ColombiaParaguay",9495.39]
["Comoros","Lao People's Democratic Republic","ComorosLao People's Democratic Republic",8639.9]
["Costa Rica","Democratic Republic of the Congo","Costa RicaDemocratic Republic of the Congo",10551.3]
["Cyprus","Thailand","CyprusThailand",11274.6]
["Germany","Bahamas","GermanyBahamas",6422.35]
["Germany","Estonia","GermanyEstonia",1630.63]
["Denmark","Moldova","DenmarkMoldova",7215.84]
["Denmark","Yemen","DenmarkYemen",10399]
["Algeria","Namibia","AlgeriaNamibia",9035.26]
["Ecuador","Gambia","EcuadorGambia",7707.92]
["Eritrea","Guinea","EritreaGuinea",10203.5]
["Eritrea","Romania","EritreaRomania",4275.6000000000004]
["Ethiopia","Azerbaijan","EthiopiaAzerbaijan",5008.17]
["Ethiopia","Jamaica","EthiopiaJamaica",14159.1]
["Finland","Timor-Leste","FinlandTimor-Leste",20976.5]
["France","Canada","FranceCanada",6158.92]
["Micronesia (Federated States of)","Slovenia","Micronesia (Federated States of)Slovenia",15666.2]
["Gabon","Seychelles","GabonSeychelles",10203]
["United Kingdom","Uganda","United KingdomUganda",11940.3]
["Ghana","Sri Lanka","GhanaSri Lanka",13810]
["Gambia","Cabo Verde","GambiaCabo Verde",966.149]
["Gambia","Mongolia","GambiaMongolia",20504.099999999999]
["Equatorial Guinea","Turkey","Equatorial GuineaTurkey",9710.24]
["Greece","Italy","GreeceItaly",1277.55]
["Grenada","South Africa","GrenadaSouth Africa",11208.8]
["Guyana","Angola","GuyanaAngola",7910.28]
["Honduras","Netherlands","HondurasNetherlands",7368.5]
["Croatia","Solomon Islands","CroatiaSolomon Islands",16783.7]
["Hungary","Equatorial Guinea","HungaryEquatorial Guinea",9747.61]
["Hungary","Solomon Islands","HungarySolomon Islands",16855.7]
["Indonesia","Somalia","IndonesiaSomalia",6403.93]
["Ireland","Kyrgyzstan","IrelandKyrgyzstan",11543.8]
["Italy","Fiji","ItalyFiji",19011]
["Jamaica","Cote d'Ivoire","JamaicaCote d'Ivoire",7832.1]
["Japan","Chad","JapanChad",20690.099999999999]
["Kazakhstan","Tajikistan","KazakhstanTajikistan",7934.83]
["Kyrgyzstan","Lithuania","KyrgyzstanLithuania",13467.3]
["Cambodia","Lithuania","CambodiaLithuania",18741.2]
["Cambodia","Vanuatu","CambodiaVanuatu",7770.38]
["Saint Kitts and Nevis","Malawi","Saint Kitts and NevisMalawi",15218.1]
["Lao People's Democratic Republic","Niger","Lao People's Democratic RepublicNiger",17671.900000000001]
["Liberia","Timor-Leste","LiberiaTimor-Leste",17502.2]
["Sri Lanka","Argentina","Sri LankaArgentina",15367.2]
["Lesotho","Australia","LesothoAustralia",10387.200000000001]
["Lithuania","Pakistan","LithuaniaPakistan",13468]
["Luxembourg","Barbados","LuxembourgBarbados",5604.48]
["Latvia","Canada","LatviaCanada",5907.78]
["Morocco","Sao Tome and Principe","MoroccoSao Tome and Principe",6220.14]
["Moldova","Sweden","MoldovaSweden",6855.77]
["Maldives","Saint Kitts and Nevis","MaldivesSaint Kitts and Nevis",16609]
["Marshall Islands","Democratic Republic of the Congo","Marshall IslandsDemocratic Republic of the Congo",20719.400000000001]
["Marshall Islands","Nigeria","Marshall IslandsNigeria",20089.2]
["Mali","Malta","MaliMalta",5466.19]
["Myanmar","Trinidad and Tobago","MyanmarTrinidad and Tobago",19313.599999999999]
["Mongolia","Finland","MongoliaFinland",22338.1]
["Mozambique","Panama","MozambiquePanama",13708.6]
["Mauritania","Zambia","MauritaniaZambia",10013.4]
["Malawi","Nigeria","MalawiNigeria",10473.700000000001]
["Namibia","Ghana","NamibiaGhana",3885.32]
["Niger","Guinea-Bissau","NigerGuinea-Bissau",2340.94]
["Nigeria","Dominica","NigeriaDominica",6919.96]
["Netherlands","Belgium","NetherlandsBelgium",70.418000000000006]
["Netherlands","Japan","NetherlandsJapan",20807.5]
["Nepal","Canada","NepalCanada",16664.900000000001]
["New Zealand","Moldova","New ZealandMoldova",19520.5]
["Pakistan","Eswatini","PakistanEswatini",7576.85]
["Peru","Lao People's Democratic Republic","PeruLao People's Democratic Republic",18867.900000000001]
["Philippines","Saint Lucia","PhilippinesSaint Lucia",18710.5]
["Philippines","United States of America","PhilippinesUnited States of America",11470.3]
["Portugal","Belize","PortugalBelize",7269.79]
["Portugal","Mozambique","PortugalMozambique",12251.8]
["Romania","Fiji","RomaniaFiji",19211.400000000001]
["Rwanda","Gabon","RwandaGabon",9571.68]
["Senegal","Angola","SenegalAngola",4862.17]
["Solomon Islands","Mongolia","Solomon IslandsMongolia",5669.96]
["Sierra Leone","Norway","Sierra LeoneNorway",6452.08]
["El Salvador","Bolivia (Plurinational State of)","El SalvadorBolivia (Plurinational State of)",5959.54]
["Sao Tome and Principe","Guatemala","Sao Tome and PrincipeGuatemala",11046.1]
["Slovakia","Niger","SlovakiaNiger",8933.93]
["Slovenia","Kazakhstan","SloveniaKazakhstan",3116.29]
["Sweden","Cambodia","SwedenCambodia",17936.400000000001]
["Seychelles","Cote d'Ivoire","SeychellesCote d'Ivoire",11246.8]
["Chad","Congo","ChadCongo",1280.8]
["Chad","Uruguay","ChadUruguay",7635.35]
["Thailand","Egypt","ThailandEgypt",10655.2]
["Turkmenistan","Luxembourg","TurkmenistanLuxembourg",12042.4]
["Turkmenistan","Vanuatu","TurkmenistanVanuatu",13324.5]
["Timor-Leste","South Africa","Timor-LesteSouth Africa",9833.7800000000007]
["Trinidad and Tobago","Jamaica","Trinidad and TobagoJamaica",1733.15]
["Turkey","United Kingdom","TurkeyUnited Kingdom",5375.65]
["Tuvalu","Guinea","TuvaluGuinea",17993.900000000001]
["Uganda","Australia","UgandaAustralia",10939.4]
["Uganda","Saint Kitts and Nevis","UgandaSaint Kitts and Nevis",15424]
["Ukraine","Italy","UkraineItaly",2638.67]
["United States of America","Botswana","United States of AmericaBotswana",15010.8]
["Uzbekistan","Switzerland","UzbekistanSwitzerland",7725.39]
["Venezuela (Bolivarian Republic of)","Slovenia","Venezuela (Bolivarian Republic of)Slovenia",9819.9]
["Vanuatu","Australia","VanuatuAustralia",3148.76]
["Samoa","Lebanon","SamoaLebanon",18663.5]
["South Africa","Colombia","South AfricaColombia",12745.8]
["South Africa","Mali","South AfricaMali",7966.12]
["Zambia","Mongolia","ZambiaMongolia",12700.6]
["Zimbabwe","Somalia","ZimbabweSomalia",4332.6000000000004]
["Zimbabwe","Sao Tome and Principe","ZimbabweSao Tome and Principe",6576.09]
["Zimbabwe","Slovakia","ZimbabweSlovakia",10439.799999999999]
["Zimbabwe","Slovenia","ZimbabweSlovenia",10439.799999999999]
["Zimbabwe","Sweden","ZimbabweSweden",14735.2]
["Zimbabwe","Eswatini","ZimbabweEswatini",0]
["Zimbabwe","Seychelles","ZimbabweSeychelles",3351.86]
["Zimbabwe","Chad","ZimbabweChad",6855.41]
["Zimbabwe","Togo","ZimbabweTogo",7403.38]
["Zimbabwe","Thailand","ZimbabweThailand",9965.6200000000008]
["Zimbabwe","Tajikistan","ZimbabweTajikistan",7576.85]
["Zimbabwe","Turkmenistan","ZimbabweTurkmenistan",7679.98]
["Zimbabwe","Timor-Leste","ZimbabweTimor-Leste",9682.18]
["Zimbabwe","Tonga","ZimbabweTonga",15671.8]
["Zimbabwe","Trinidad and Tobago","ZimbabweTrinidad and Tobago",11668.1]
["Zimbabwe","Tunisia","ZimbabweTunisia",10323.200000000001]
["Zimbabwe","Turkey","ZimbabweTurkey",9983.83]
["Zimbabwe","Tuvalu","ZimbabweTuvalu",14805.6]
["Zimbabwe","United Republic of Tanzania","ZimbabweUnited Republic of Tanzania",2865.63]
["Zimbabwe","Uganda","ZimbabweUganda",3069.63]
["Zimbabwe","Ukraine","ZimbabweUkraine",10832.4]
["Zimbabwe","Uruguay","ZimbabweUruguay",8670.85]
["Zimbabwe","United States of America","ZimbabweUnited States of America",15490.2]
["Zimbabwe","Uzbekistan","ZimbabweUzbekistan",7576.85]
["Zimbabwe","Venezuela (Bolivarian Republic of)","ZimbabweVenezuela (Bolivarian Republic of)",12298.9]
["Zimbabwe","Viet Nam","ZimbabweViet Nam",9624.9599999999991]
["Zimbabwe","Vanuatu","ZimbabweVanuatu",13929.8]
["Zimbabwe","Samoa","ZimbabweSamoa",15692.3]
["Zimbabwe","Yemen","ZimbabweYemen",5895.54]
["Zimbabwe","South Africa","ZimbabweSouth Africa",378.565]
["Zimbabwe","Zambia","ZimbabweZambia",0]

{"sheet":"TR-city coordinates","index":38,"n_rows":166,"n_cols":8,"rows_kept":166,"cut":false,"hidden":true,"merged":[[0,0,0,2]]}
["Source: \nhttps://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals\nhttps://simplemaps.com/data/world-cities"]
["Converted from lat long to km using:"]
["https://www.omnicalculator.com/other/latitude-longitude-distance"]
[]
[null,null,null,"Updated some names manually (highlighted)",null,"Added manually"]
[null,"Capital City","Country","IFC Country","Region","Lat","Long","Source"]
[null,"Tokyo","Japan",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Japan"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"East Asia & Pacific"},35.689700000000002,139.69220000000001,"https://simplemaps.com/data/world-cities"]
[null,"Majuro","Marshall Islands",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Marshall Islands"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"East Asia & Pacific"},7.0833000000000004,171.38329999999999,"https://simplemaps.com/data/world-cities"]
[null,"Ulaanbaatar","Mongolia",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Mongolia"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"East Asia & Pacific"},47.920299999999997,106.91719999999999,"https://simplemaps.com/data/world-cities"]
[null,"Dili","Timor-Leste",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Timor-Leste"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"East Asia & Pacific"},-8.5535999999999994,125.5783,"https://simplemaps.com/data/world-cities"]
[null,"Saint George's","Grenada",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Grenada"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},12.05,-61.75,"https://simplemaps.com/data/world-cities"]
[null,"Port of Spain","Trinidad and Tobago",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Trinidad and Tobago"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},10.666700000000001,-61.5167,"https://simplemaps.com/data/world-cities"]
[null,"Rabat","Morocco",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Morocco"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Middle East & North Africa"},34.020899999999997,-6.8415999999999997,"https://simplemaps.com/data/world-cities"]
[null,"Sanaa","Yemen",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Yemen"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Middle East & North Africa"},15.3483,44.206400000000002,"https://simplemaps.com/data/world-cities"]
[null,"Algiers","Algeria",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Algeria"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Middle East & North Africa"},"36.42","03.08","https://simplemaps.com/data/world-cities"]
[null,"Tunis","Tunisia",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Tunisia"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Middle East & North Africa"},"36.50","10.11","https://simplemaps.com/data/world-cities"]
[null,"Colombo","Sri Lanka",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Sri Lanka"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"South Asia"},6.9344000000000001,79.842799999999997,"https://simplemaps.com/data/world-cities"]
[null,"Port Louis","Mauritius",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Mauritius"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},-20.164400000000001,57.504199999999997,"https://simplemaps.com/data/world-cities"]
[null,"Victoria","Seychelles",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Seychelles"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},-4.6231,55.452500000000001,"https://simplemaps.com/data/world-cities"]
[null,"Juba","South Sudan",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"South Sudan"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},4.8499999999999996,31.6,"https://simplemaps.com/data/world-cities"]
[null,"Yerevan","Armenia",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Armenia"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"40.10","44.31","https://simplemaps.com/data/world-cities"]
[null,"Baku","Azerbaijan",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Azerbaijan"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"40.29","49.56","https://simplemaps.com/data/world-cities"]
[null,"T'bilisi","Georgia",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Georgia"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"41.43","44.50","https://simplemaps.com/data/world-cities"]
[null,"Chisinau","Moldova",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Moldova"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"47.02","28.50","https://simplemaps.com/data/world-cities"]
[null,"Ashgabat","Turkmenistan",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Turkmenistan"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"38.00","57.50","https://simplemaps.com/data/world-cities"]
[null,"Canberra","Australia",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Australia"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"East Asia & Pacific"},-35.15,"149.08","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Phnom Penh","Cambodia",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Cambodia"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"East Asia & Pacific"},"11.33","104.55","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Beijing","China",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"China"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"East Asia & Pacific"},"39.55","116.20","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Suva","Fiji",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Fiji"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"East Asia & Pacific"},-18.059999999999999,"178.30","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Jakarta","Indonesia",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Indonesia"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"East Asia & Pacific"},-6.09,"106.49","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Tarawa","Kiribati",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Kiribati"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"East Asia & Pacific"},"01.30","173.00","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Vientiane","Lao People's Democratic Republic",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Lao People's Democratic Republic"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"East Asia & Pacific"},"17.58","102.36","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Kuala Lumpur","Malaysia",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Malaysia"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"East Asia & Pacific"},"03.09","101.41","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Palikir","Micronesia (Federated States of)",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Micronesia (Federated States of)"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"East Asia & Pacific"},"06.55","158.09","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Wellington","New Zealand",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"New Zealand"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"East Asia & Pacific"},-41.19,"174.46","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Port Moresby","Papua New Guinea",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Papua New Guinea"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"East Asia & Pacific"},-9.24,"147.08","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Manila","Philippines",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Philippines"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"East Asia & Pacific"},"14.40","121.03","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Apia","Samoa",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Samoa"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"East Asia & Pacific"},-13.5,-171.5,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Honiara","Solomon Islands",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Solomon Islands"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"East Asia & Pacific"},-9.27,"159.57","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Bangkok","Thailand",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Thailand"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"East Asia & Pacific"},"13.45","100.35","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Nuku'alofa","Tonga",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Tonga"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"East Asia & Pacific"},-21.1,-174,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Funafuti","Tuvalu",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Tuvalu"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"East Asia & Pacific"},-8.31,"179.13","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Port-Vila","Vanuatu",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Vanuatu"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"East Asia & Pacific"},-17.45,"168.18","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Hanoi","Viet Nam",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Viet Nam"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"East Asia & Pacific"},"21.05","105.55","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Vienna","Austria",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Austria"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"48.12","16.22","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Brussels","Belgium",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Belgium"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"50.51","04.21","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Sarajevo","Bosnia and Herzegovina",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Bosnia and Herzegovina"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"43.52","18.26","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Sofia","Bulgaria",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Bulgaria"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"42.45","23.20","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Zagreb","Croatia",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Croatia"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"45.50","15.58","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Nicosia","Cyprus",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Cyprus"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"35.10","33.25","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Prague","Czech Republic",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Czech Republic"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"50.05","14.22","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Copenhagen","Denmark",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Denmark"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"55.41","12.34","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Tallinn","Estonia",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Estonia"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"59.22","24.48","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Helsinki","Finland",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Finland"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"60.15","25.03","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Paris","France",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"France"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"48.50","02.20","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Berlin","Germany",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Germany"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"52.30","13.25","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Athens","Greece",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Greece"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"37.58","23.46","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Budapest","Hungary",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Hungary"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"47.29","19.05","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Reykjavik","Iceland",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Iceland"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"64.10",-21.57,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Dublin","Ireland",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Ireland"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"53.21",-6.15,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Rome","Italy",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Italy"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"41.54","12.29","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Astana","Kazakhstan",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Kazakhstan"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"51.10","71.30","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Bishkek","Kyrgyzstan",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Kyrgyzstan"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"42.54","74.46","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Riga","Latvia",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Latvia"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"56.53","24.08","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Vilnius","Lithuania",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Lithuania"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"54.38","25.19","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Luxembourg","Luxembourg",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Luxembourg"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"49.37","06.09","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Valletta","Malta",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Malta"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"35.54","14.31","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Amsterdam","Netherlands",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Netherlands"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"52.23","04.54","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Oslo","Norway",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Norway"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"59.55","10.45","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Warsaw","Poland",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Poland"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"52.13","21.00","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Lisbon","Portugal",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Portugal"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"38.42",-9.1,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Bucuresti","Romania",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Romania"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"44.27","26.10","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Bratislava","Slovakia",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Slovakia"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"48.10","17.07","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Ljubljana","Slovenia",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Slovenia"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"46.04","14.33","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Madrid","Spain",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Spain"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"40.25",-3.45,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Stockholm","Sweden",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Sweden"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"59.20","18.03","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Bern","Switzerland",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Switzerland"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"46.57","07.28","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Dushanbe","Tajikistan",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Tajikistan"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"38.33","68.48","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Ankara","Turkey",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Turkey"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"39.57","32.54","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Kiev","Ukraine",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Ukraine"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"50.30","30.28","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"London","United Kingdom of Great Britain and Northern Ireland","United Kingdom",{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"51.36",-0.05,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Tashkent","Uzbekistan",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Uzbekistan"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Europe & Central Asia"},"41.20","69.10","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Saint John's","Antigua and Barbuda",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Antigua and Barbuda"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},"17.127",-61.845999999999997,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Buenos Aires","Argentina",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Argentina"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},-36.299999999999997,-60,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Nassau","Bahamas",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Bahamas"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},"25.05",-77.2,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Bridgetown","Barbados",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Barbados"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},"13.05",-59.3,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Belmopan","Belize",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Belize"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},"17.18",-88.3,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"La Paz (administrative) / Sucre (legislative)","Bolivia","Bolivia (Plurinational State of)",{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},-16.2,-68.099999999999994,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Brasilia","Brazil",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Brazil"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},-15.47,-47.55,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Santiago","Chile",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Chile"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},-33.24,-70.400000000000006,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Bogota","Colombia",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Colombia"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},"04.34",-74,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"San Jose","Costa Rica",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Costa Rica"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},"09.55",-84.02,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Roseau","Dominica",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Dominica"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},"15.20",-61.24,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Santo Domingo","Dominica Republic","Dominican Republic",{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},"18.30",-69.59,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Quito","Ecuador",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Ecuador"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},-0.15,-78.349999999999994,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"San Salvador","El Salvador",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"El Salvador"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},"13.40",-89.1,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Guatemala","Guatemala",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Guatemala"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},"14.40",-90.22,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Georgetown","Guyana",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Guyana"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},"06.50",-58.12,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Port-au-Prince","Haiti",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Haiti"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},"18.40",-72.2,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Tegucigalpa","Honduras",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Honduras"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},"14.05",-87.14,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Kingston","Jamaica",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Jamaica"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},"18.00",-76.5,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Mexico","Mexico",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Mexico"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},"19.20",-99.1,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Managua","Nicaragua",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Nicaragua"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},"12.06",-86.2,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Panama","Panama",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Panama"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},"09.00",-79.25,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Asuncion","Paraguay",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Paraguay"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},-25.1,-57.3,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Lima","Peru",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Peru"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},-12,-77,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Basseterre","Saint Kitts and Nevis",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Saint Kitts and Nevis"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},"17.17",-62.43,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Castries","Saint Lucia",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Saint Lucia"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},"14.02",-60.58,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Montevideo","Uruguay",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Uruguay"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},-34.5,-56.11,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Caracas","Venezuela","Venezuela (Bolivarian Republic of)",{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Latin America & Caribbean"},"10.30",-66.55,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Cairo","Egypt",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Egypt"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Middle East & North Africa"},"30.01","31.14","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Beirut","Lebanon",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Lebanon"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Middle East & North Africa"},"33.53","35.31","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Ottawa","Canada",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Canada"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"North America"},"45.27",-75.42,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Washington DC","United States of America",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"United States of America"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"North America"},"39.91",-77.02,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Dhaka","Bangladesh",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Bangladesh"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"South Asia"},"23.43","90.26","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Thimphu","Bhutan",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Bhutan"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"South Asia"},"27.31","89.45","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"New Delhi","India",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"India"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"South Asia"},"28.37","77.13","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Male","Maldives",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Maldives"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"South Asia"},"04.00","73.28","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Yangon","Myanmar",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Myanmar"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"South Asia"},"16.45","96.20","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Kathmandu","Nepal",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Nepal"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"South Asia"},"27.45","85.20","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Islamabad","Pakistan",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Pakistan"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"South Asia"},"33.40","73.10","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Luanda","Angola",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Angola"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},-8.5,"13.15","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Porto Novo","Benin",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Benin"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},"06.23","02.42","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Gaborone","Botswana",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Botswana"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},-24.45,"25.57","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Ouagadougou","Burkina Faso",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Burkina Faso"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},"12.15",-1.3,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Bujumbura","Burundi",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Burundi"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},-3.16,"29.18","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Praia","Cape Verde","Cabo Verde",{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},"15.02",-23.34,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Yaounde","Cameroon",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Cameroon"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},"03.50","11.35","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Bangui","Central African Republic",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Central African Republic"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},"04.23","18.35","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"N'Djamena","Chad",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Chad"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},"12.10","14.59","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Moroni","Comros","Comoros",{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},-11.4,"43.16","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Brazzaville","Congo",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Congo"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},-4.09,"15.12","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Yamoussoukro","Cote d'Ivoire",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Cote d'Ivoire"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},"06.49",-5.17,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Kinshasa","Democratic Republic of the Congo",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Democratic Republic of the Congo"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},-4.2,"15.15","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Malabo","Equatorial Guinea",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Equatorial Guinea"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},"03.45","08.50","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Asmara","Eritrea",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Eritrea"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},"15.19","38.55","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Mbabane","Swaziland","Eswatini",{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},-26.18,"31.06","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Addis Ababa","Ethiopia",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Ethiopia"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},"09.02","38.42","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Libreville","Gabon",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Gabon"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},"00.25","09.26","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Banjul","Gambia",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Gambia"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},"13.28",-16.399999999999999,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Accra","Ghana",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Ghana"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},"05.35",-0.06,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Conakry","Guinea",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Guinea"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},"09.29",-13.49,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Bissau","Guinea-Bissau",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Guinea-Bissau"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},"11.45",-15.45,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Nairobi","Kenya",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Kenya"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},-1.17,"36.48","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Maseru","Lesotho",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Lesotho"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},-29.18,"27.30","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Monrovia","Liberia",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Liberia"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},"06.18",-10.47,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Antananarivo","Madagascar",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Madagascar"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},-18.55,"47.31","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Lilongwe","Malawi",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Malawi"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},-14,"33.48","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Bamako","Mali",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Mali"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},"12.34",-7.55,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Nouakchott","Mauritania",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Mauritania"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},-20.100000000000001,"57.30","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Maputo","Mozambique",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Mozambique"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},-25.58,"32.32","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Windhoek","Namibia",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Namibia"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},-22.35,"17.04","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Niamey","Niger",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Niger"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},"13.27","02.06","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Abuja","Nigeria",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Nigeria"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},"09.05","07.32","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Kigali","Rawanda","Rwanda",{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},-1.59,"30.04","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Sao Tome","Sao Tome and Principe",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Sao Tome and Principe"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},"00.10","06.39","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Dakar","Senegal",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Senegal"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},"14.34",-17.29,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Freetown","Sierra Leone",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Sierra Leone"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},"08.30",-13.17,"https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Mogadishu","Somalia",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Somalia"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},"02.02","45.25","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Pretoria (administrative)","South Africa",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"South Africa"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},-25.44,"28.12","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Khartoum","Sudan",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Sudan"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},"15.31","32.35","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Lome","Togo",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Togo"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},"06.09","01.20","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Kampala","Uganda",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Uganda"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},"00.20","32.30","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Dodoma","United Republic of Tanzania",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"United Republic of Tanzania"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},-6.08,"35.45","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Lusaka","Zambia",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Zambia"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},-15.28,"28.16","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]
[null,"Harare","Zimbabwe",{"$f":"INDEX(CountryList[IFC Country],MATCH(Coordinates[[#This Row],[Country]],CountryList[IFC Country],0),1)","v":"Zimbabwe"},{"$f":"INDEX(CountryList[Region],MATCH(Coordinates[[#This Row],[IFC Country]],CountryList[IFC Country],0))","v":"Sub-Saharan Africa"},-17.43,"31.02","https://www.fittotravel.net/index.php/international-data/257-coordinates-of-world-capitals"]

{"sheet":"TR-PostPro","index":39,"n_rows":61,"n_cols":5,"rows_kept":61,"cut":false,"hidden":true,"merged":[]}
[]
[null,"Post-processing transport emission calculations"]
[]
[null,"Country"]
[]
[null,"Transport inputs","Default","User input"]
[null,"Distance (km) - preliminary input",{"$f":"INDEX('TR-Road-dist'!$I$9:$I$129,MATCH(country,'TR-Road-dist'!$B$9:$B$129,0))","v":{"$error":"#REF!"}},{"$f":"transport2UserDistance1","v":0}]
[null,"Transport mode","Truck",{"$f":"IF(Interface!#REF!=\"\",C8,Interface!#REF!)","v":{"$error":"#REF!"}}]
[null,"Category","Average (all trucks)",{"$f":"IF(Interface!#REF!=\"\",INDEX(#REF!,MATCH(D8,#REF!,0)),Interface!#REF!)","v":{"$error":"#REF!"}}]
[null,"Fuel type","Diesel",{"$f":"IF(Interface!#REF!=\"\",INDEX(#REF!,MATCH(D8,#REF!,0)),Interface!#REF!)","v":{"$error":"#REF!"}}]
[null,"Temperature control",{"$f":"IF(commodityGroup=\"Animal Protein\", \"Yes\", \"No\")","v":"No"},{"$f":"IF(Interface!#REF!=\"\",INDEX(#REF!,MATCH(D8,#REF!,0)),Interface!#REF!)","v":{"$error":"#REF!"}}]
[null,"Adjustment for road conditions (%)",{"$f":"INDEX(RoadConditionTable[Adjustment],MATCH(country,RoadConditionTable[Country],0))","v":{"$error":"#REF!"}},{"$f":"IF(OR(D8=\"Truck\",D8=\"Van\"),IF(Interface!#REF!<>\"\",INDEX(RoadConditionsAdj[Adjustment],MATCH(Interface!#REF!,RoadConditionsAdj[Road conditions],0)),INDEX(RoadConditionTable[Adjustment],MATCH(country,RoadConditionTable[Country],0))),0)","v":{"$error":"#REF!"}}]
[null,"Fuel type input list reference",{"$f":"C8&\"Fuel\"","v":"TruckFuel"},{"$f":"D8&\"Fuel\"","v":{"$error":"#REF!"}}]
[]
[null,"Preliminary EFs",{"$f":"C$6","v":"Default"},{"$f":"D$6","v":"User input"}]
[null,"Transport Emission Factor - CO2 (kgCO2e/tonne.km)",{"$f":"(1+C12)*INDEX(#REF!,MATCH(1,('TR-PostPro'!C8=transportEFtable[Category])*('TR-PostPro'!C9=transportEFtable[Sub-category])*('TR-PostPro'!C10=transportEFtable[Fuel])*('TR-PostPro'!C11=transportEFtable[Refrigerated]),0))","v":{"$error":"#REF!"}},{"$f":"(1+D12)*INDEX(#REF!,MATCH(1,('TR-PostPro'!D8=transportEFtable[Category])*('TR-PostPro'!D9=transportEFtable[Sub-category])*('TR-PostPro'!D10=transportEFtable[Fuel])*('TR-PostPro'!D11=transportEFtable[Refrigerated]),0))","v":{"$error":"#REF!"}}]
[null,"Transport Emission Factor - CH4 (kgCO2e/tonne.km)",{"$f":"(1+C12)*INDEX(#REF!,MATCH(1,('TR-PostPro'!C8=transportEFtable[Category])*('TR-PostPro'!C9=transportEFtable[Sub-category])*('TR-PostPro'!C10=transportEFtable[Fuel])*('TR-PostPro'!C11=transportEFtable[Refrigerated]),0))","v":{"$error":"#REF!"}},{"$f":"(1+D12)*INDEX(#REF!,MATCH(1,('TR-PostPro'!D8=transportEFtable[Category])*('TR-PostPro'!D9=transportEFtable[Sub-category])*('TR-PostPro'!D10=transportEFtable[Fuel])*('TR-PostPro'!D11=transportEFtable[Refrigerated]),0))","v":{"$error":"#REF!"}}]
[null,"Transport Emission Factor - N2O (kgCO2e/tonne.km)",{"$f":"(1+C12)*INDEX(#REF!,MATCH(1,('TR-PostPro'!C8=transportEFtable[Category])*('TR-PostPro'!C9=transportEFtable[Sub-category])*('TR-PostPro'!C10=transportEFtable[Fuel])*('TR-PostPro'!C11=transportEFtable[Refrigerated]),0))","v":{"$error":"#REF!"}},{"$f":"(1+D12)*INDEX(#REF!,MATCH(1,('TR-PostPro'!D8=transportEFtable[Category])*('TR-PostPro'!D9=transportEFtable[Sub-category])*('TR-PostPro'!D10=transportEFtable[Fuel])*('TR-PostPro'!D11=transportEFtable[Refrigerated]),0))","v":{"$error":"#REF!"}}]
[null,"Transport Emission Factor - Total (kgCO2e/tonne.km)",{"$f":"SUM(C16:C18)","v":{"$error":"#REF!"}},{"$f":"SUM(D16:D18)","v":{"$error":"#REF!"}}]
[]
[null,{"$f":"\"Emission factors based on user input - \"&'TR-Lists'!F14","v":"Emission factors based on user input - Trip emissions (kg CO2e/tonne.km)"},{"$f":"C$6","v":"Default"},{"$f":"D$6","v":"User input"}]
[null,"Transport Emission Factor - CO2 (kgCO2e/tonne.km)",null,{"$f":"D$25*D59","v":{"$error":"#REF!"}}]
[null,"Transport Emission Factor - CH4 (kgCO2e/tonne.km)",null,{"$error":"#REF!"}]
[null,"Transport Emission Factor - N2O (kgCO2e/tonne.km)",null,{"$error":"#REF!"}]
[null,"Transport Emission Factor - Total (kgCO2e/tonne.km)",null,{"$f":"IF(Interface!#REF!='TR-Lists'!F14,Interface!#REF!,\"\")","v":{"$error":"#REF!"}}]
[]
[null,{"$f":"\"Emission factors based on user input - \"&'TR-Lists'!F15","v":"Emission factors based on user input - Fuel efficiency (l/100km)"},{"$f":"C$6","v":"Default"},{"$f":"D$6","v":"User input"}]
[null,"l/100km",null,{"$f":"IF(Interface!#REF!='TR-Lists'!F15,Interface!#REF!,\"\")","v":{"$error":"#REF!"}}]
[null,"tonnes",null,18.25,"Based on typical gross HGV weight"]
[null,"kgCO2/lt",null,{"$f":"3.3","v":3.3},"BEIS (UK) diesel emission factor"]
[null,"kgCO2/km",null,{"$f":"D30*(D28/100)","v":{"$error":"#REF!"}}]
[null,"Transport Emission Factor - CO2 (kgCO2e/tonne.km)",null,{"$f":"D$35*D59","v":{"$error":"#REF!"}}]
[null,"Transport Emission Factor - CH4 (kgCO2e/tonne.km)",null,{"$error":"#REF!"}]
[null,"Transport Emission Factor - N2O (kgCO2e/tonne.km)",null,{"$error":"#REF!"}]
[null,"Transport Emission Factor - Total (kgCO2e/tonne.km)",null,{"$f":"(D31/D29)+50%*(D31/D29)","v":{"$error":"#REF!"}}]
[]
[]
[]
[null,null,{"$f":"C$6","v":"Default"},{"$f":"D$6","v":"User input"}]
[null,"Transport Emission Factor - CO2 (kgCO2e/tonne.km)",{"$f":"(1+C12)*INDEX(#REF!,MATCH(1,('TR-PostPro'!C8=transportEFtable[Category])*('TR-PostPro'!C9=transportEFtable[Sub-category])*('TR-PostPro'!C10=transportEFtable[Fuel])*('TR-PostPro'!C11=transportEFtable[Refrigerated]),0))","v":{"$error":"#REF!"}},{"$f":"IF(OR(Interface!#REF!=\"\",Interface!#REF!=\"\"),D16,IF(Interface!#REF!='TR-Lists'!$F$14,D22,D32))","v":{"$error":"#REF!"}}]
[null,"Transport Emission Factor - CH4 (kgCO2e/tonne.km)",{"$f":"(1+C12)*INDEX(#REF!,MATCH(1,('TR-PostPro'!C8=transportEFtable[Category])*('TR-PostPro'!C9=transportEFtable[Sub-category])*('TR-PostPro'!C10=transportEFtable[Fuel])*('TR-PostPro'!C11=transportEFtable[Refrigerated]),0))","v":{"$error":"#REF!"}},{"$f":"IF(OR(Interface!#REF!=\"\",Interface!#REF!=\"\"),D17,IF(Interface!#REF!='TR-Lists'!$F$14,D23,D33))","v":{"$error":"#REF!"}}]
[null,"Transport Emission Factor - N2O (kgCO2e/tonne.km)",{"$f":"(1+C12)*INDEX(#REF!,MATCH(1,('TR-PostPro'!C8=transportEFtable[Category])*('TR-PostPro'!C9=transportEFtable[Sub-category])*('TR-PostPro'!C10=transportEFtable[Fuel])*('TR-PostPro'!C11=transportEFtable[Refrigerated]),0))","v":{"$error":"#REF!"}},{"$f":"IF(OR(Interface!#REF!=\"\",Interface!#REF!=\"\"),D18,IF(Interface!#REF!='TR-Lists'!$F$14,D24,D34))","v":{"$error":"#REF!"}}]
[null,"Transport Emission Factor - Total (kgCO2e/tonne.km)",{"$f":"SUM(C40:C42)","v":{"$error":"#REF!"}},{"$f":"IF(OR(Interface!#REF!=\"\",Interface!#REF!=\"\"),D19,IF(Interface!#REF!='TR-Lists'!$F$14,D25,D35))","v":{"$error":"#REF!"}}]
[null,"CO2 emissions per tonne per year (tCO2e)",null,{"$f":"'TR-PostPro'!D40/1000*'TR-PostPro'!D$55","v":{"$error":"#REF!"}}]
[null,"CH4 emissions per tonne per year (tCO2e)",null,{"$f":"'TR-PostPro'!D41/1000*'TR-PostPro'!D$55","v":{"$error":"#REF!"}}]
[null,"N2O emissions per tonne per year (tCO2e)",null,{"$f":"'TR-PostPro'!D42/1000*'TR-PostPro'!D$55","v":{"$error":"#REF!"}}]
[null,"Total emissions per tonne per year (tCO2e)",null,{"$f":"SUM(D44:D46)","v":{"$error":"#REF!"}}]
[]
[]
[null,"Split distance and food loss rates between transport phase 1 and 2",{"$f":"C$6","v":"Default"},{"$f":"D$6","v":"User input"}]
[null,"user input phase 1 but not 2",null,{"$f":"IF(AND(transport1UserDistance1<>\"\",transport2UserDistance1=\"\"),$C$7/2,\"\")","v":""}]
[null,"user input phase 2 but not 1",null,{"$f":"IF(AND(transport1UserDistance1=\"\",transport2UserDistance1<>\"\"),$D$7,\"\")","v":""}]
[null,"no user input",null,{"$f":"IF(AND(transport1UserDistance1=\"\",transport2UserDistance1=\"\"),$C$7/2,\"\")","v":{"$error":"#REF!"}}]
[null,"both user inputs",null,{"$f":"IF(AND(transport1UserDistance1<>\"\",transport2UserDistance1<>\"\"),$D$7,\"\")","v":""}]
[null,"Distance (km) - final input",null,{"$f":"SUM(D51:D54)","v":{"$error":"#REF!"}}]
[null,"Food loss rate distribution",null,{"$f":"D55/SUM('TR-1'!#REF!,'TR-PostPro'!$D$55)","v":{"$error":"#REF!"}}]
[]
[null,"Calculate distribution of CO2e by GHG"]
[null,"CO2 (%)",{"$f":"C16/C$19","v":{"$error":"#REF!"}},{"$error":"#REF!"}]
[null,"CH4 (%)",{"$error":"#REF!"},{"$error":"#REF!"}]
[null,"N2O (%)",{"$error":"#REF!"},{"$error":"#REF!"}]

{"sheet":"Transport EFs_old","index":40,"n_rows":63,"n_cols":34,"rows_kept":63,"cut":false,"hidden":true,"merged":[[3,1,3,4]]}
[]
[null,"Transport Emission Factors",null,null,"delete when finalised"]
[]
[]
[null,"Category","Sub-category","Fuel","Temperature","kg CO2e","kg CO2","kg CH4","kg N2O","Source","Notes"]
[null,"Van","Class I (up to 1.305 tonnes)","Diesel","Ambient",0.81484999999999996,0.80449000000000004,2.0000000000000002E-5,1.034E-2,"BEIS",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Van"]
[null,"Van","Class II (1.305 to 1.74 tonnes)","Diesel","Ambient",0.62919999999999998,0.62278999999999995,1.0000000000000001E-5,6.3899999999999998E-3,"BEIS",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Class I (up to 1.305 tonnes)",null,"Van"]
[null,"Van","Class III (1.74 to 3.5 tonnes)","Diesel","Ambient",0.59231999999999996,0.58814999999999995,1.0000000000000001E-5,4.1599999999999996E-3,"BEIS",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Class II (1.305 to 1.74 tonnes)",null,"Van"]
[null,"Van","Average (up to 3.5 tonnes)","Diesel","Ambient",0.60260999999999998,0.59794999999999998,1.0000000000000001E-5,4.6499999999999996E-3,"BEIS",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Class III (1.74 to 3.5 tonnes)",null,"Van"]
[null,"Van","Class I (up to 1.305 tonnes)","Petrol","Ambient",1.0738300000000001,1.0699099999999999,1.2800000000000001E-3,2.64E-3,"BEIS",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Average (up to 3.5 tonnes)",null,"HGV"]
[null,"Van","Class II (1.305 to 1.74 tonnes)","Petrol","Ambient",0.72057000000000004,0.71792,8.7000000000000001E-4,1.7899999999999999E-3,"BEIS",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"HGV"]
[null,"Van","Class III (1.74 to 3.5 tonnes)","Petrol","Ambient",0.77568999999999999,0.77388000000000001,5.9000000000000003E-4,1.2199999999999999E-3,"BEIS",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"HGV"]
[null,"Van","Average (up to 3.5 tonnes)","Petrol","Ambient",0.71914999999999996,0.71665000000000001,8.0999999999999996E-4,1.6800000000000001E-3,"BEIS",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"HGV"]
[null,"Van","Average (up to 3.5 tonnes)","LPG","Ambient",0.67659000000000002,0.67508999999999997,9.0000000000000006E-5,1.4E-3,"BEIS",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"HGV"]
[null,"Van","Average (up to 3.5 tonnes)","CNG","Ambient",0.61514999999999997,0.61080000000000001,2.9499999999999999E-3,1.4E-3,"BEIS",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"HGV"]
[null,"Rail","Freight train","Not applicable","Ambient",2.7820000000000001E-2,2.7490000000000001E-2,2.0000000000000002E-5,3.1E-4,"BEIS",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"HGV"]
[null,"Rail","Freight train","Not applicable","Chilled",{"$f":"F16*(1+$C$63)","v":3.1971821752417438E-2},{"$f":"G16*(1+$C$63)","v":3.1592572968150802E-2},{"$f":"H16*(1+$C$63)","v":2.2984774804038418E-5},{"$f":"I16*(1+$C$63)","v":3.5626400946259544E-4},"BEIS","BEIS data + avg additional emissions associated with cooling in HGV",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"HGV"]
[null,"Ship","General cargo","Not applicable","Ambient",1.3232000000000001E-2,1.3050000000000001E-2,3.9999999999999998E-6,1.7799999999999999E-4,"BEIS","average from BEIS data",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Freight flights","Domestic"]
[null,"Ship","General cargo","Not applicable","Chilled",{"$f":"F18*(1+$C$63)","v":1.5206727010351818E-2},{"$f":"G18*(1+$C$63)","v":1.4997565559635068E-2},{"$f":"H18*(1+$C$63)","v":4.5969549608076835E-6},{"$f":"I18*(1+$C$63)","v":2.045644957559419E-4},"BEIS","average from BEIS data + avg additional emissions associated with cooling in HGV",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Rigid (>3.5 - 7.5 tonnes)",null,"Freight flights","Short-haul"]
[null,"Van","Class I (up to 1.305 tonnes)","Diesel","Chilled",{"$f":"F6*(1+$C$63)","v":0.93645718745353512},0.92455107410504334,2.2984774804038418E-5,1.1883128573687863E-2,"BEIS","Calculated from BEIS data based on average additional emissions associated with cooling in HGV",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Rigid (>7.5 tonnes-17 tonnes)",null,"Freight flights","Long-haul"]
[null,"Van","Class II (1.305 to 1.74 tonnes)","Diesel","Chilled",0.72310101533504856,0.71573439501035419,1.1492387402019209E-5,7.3436355498902742E-3,"BEIS","Calculated from BEIS data based on average additional emissions associated with cooling in HGV",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Rigid (>17 tonnes)",null,"Freight flights","International"]
[null,"Van","Class III (1.74 to 3.5 tonnes)","Diesel","Chilled",0.68071709059640173,0.67592476504975973,1.1492387402019209E-5,4.7808331592399901E-3,"BEIS","Calculated from BEIS data based on average additional emissions associated with cooling in HGV",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"All rigids",null,"Rail","Freight train"]
[null,"Van","Average (up to 3.5 tonnes)","Diesel","Chilled",0.69254275723307945,0.68718730470373857,1.1492387402019209E-5,5.3439601419389311E-3,"BEIS","Calculated from BEIS data based on average additional emissions associated with cooling in HGV",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Articulated (>3.5 - 33t)",null,"Cargo ship","Bulk carrier (200,000+ dwt)"]
[null,"Van","Class I (up to 1.305 tonnes)","Petrol","Chilled",1.2340870363910288,1.229582020529437,1.4710255874584588E-3,3.0339902741330711E-3,"BEIS","Calculated from BEIS data based on average additional emissions associated with cooling in HGV",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Articulated (>33t)",null,"Cargo ship","Bulk carrier (100,000–199,999 dwt)"]
[null,"Van","Class II (1.305 to 1.74 tonnes)","Petrol","Chilled",0.82810695902729814,0.82506147636576299,9.9983770397567111E-4,2.0571373449614384E-3,"BEIS","Calculated from BEIS data based on average additional emissions associated with cooling in HGV",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"All artics",null,"Cargo ship","Bulk carrier (60,000–99,999 dwt)"]
[null,"Van","Class III (1.74 to 3.5 tonnes)","Petrol","Chilled",0.89145299838722802,0.88937287626746253,6.7805085671913338E-4,1.4020712630463433E-3,"BEIS","Calculated from BEIS data based on average additional emissions associated with cooling in HGV",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"All HGVs",null,"Cargo ship","Bulk carrier (35,000–59,999 dwt)"]
[null,"Van","Average (up to 3.5 tonnes)","Petrol","Chilled",0.8264750400162113,0.82360194316570656,9.308833795635558E-4,1.930721083539227E-3,"BEIS","Calculated from BEIS data based on average additional emissions associated with cooling in HGV",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cargo ship","Bulk carrier (10,000–34,999 dwt)"]
[null,"Van","Average (up to 3.5 tonnes)","LPG","Chilled",0.77756343923321769,0.77583958112291473,1.0343148661817289E-4,1.6089342362826892E-3,"BEIS","Calculated from BEIS data based on average additional emissions associated with cooling in HGV",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cargo ship","Bulk carrier (0–9999 dwt)"]
[null,"Van","Average (up to 3.5 tonnes)","CNG","Chilled",0.70695421103521161,0.70195502251533326,3.3902542835956666E-3,1.6089342362826892E-3,"BEIS","Calculated from BEIS data based on average additional emissions associated with cooling in HGV",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cargo ship","Bulk carrier (Average)"]
[null,"Truck","Rigid (>3.5 - 7.5 tonnes)","Diesel","Ambient",0.24312,0.24029,5.0000000000000002E-5,2.7899999999999999E-3,"BEIS","100% laden",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cargo ship","General cargo (10,000+ dwt)"]
[null,"Truck","Rigid (>7.5 - 17 tonnes)","Diesel","Ambient",0.13522000000000001,0.13375999999999999,2.0000000000000002E-5,1.4400000000000001E-3,"BEIS","100% laden",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cargo ship","General cargo (5000–9999 dwt)"]
[null,"Truck","Rigid (>17 tonnes)","Diesel","Ambient",0.12009,0.11876,2.0000000000000002E-5,1.2999999999999999E-3,"BEIS","100% laden",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cargo ship","General cargo (0–4999 dwt)"]
[null,"Truck","Average (all rigids)","Diesel","Ambient",0.12834000000000001,0.12692000000000001,2.0000000000000002E-5,1.4E-3,"BEIS","100% laden",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cargo ship","General cargo (10,000+ dwt 100+ TEU)"]
[null,"Truck","Articulated (>3.5 - 33 tonnes)","Diesel","Ambient",7.3090000000000002E-2,7.2010000000000005E-2,1.0000000000000001E-5,1.07E-3,"BEIS","100% laden",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cargo ship","General cargo (5000–9999 dwt 100+ TEU)"]
[null,"Truck","Articulated (>33 tonnes)","Diesel","Ambient",5.9130000000000002E-2,5.8229999999999997E-2,1.0000000000000001E-5,8.8999999999999995E-4,"BEIS","100% laden",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cargo ship","General cargo (0–4999 dwt 100+ TEU)"]
[null,"Truck","Average (all artics)","Diesel","Ambient",5.944E-2,5.8540000000000002E-2,1.0000000000000001E-5,8.8999999999999995E-4,"BEIS","100% laden",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cargo ship","General cargo (Average)"]
[null,"Truck","Average (all trucks)","Diesel","Ambient",7.3749999999999996E-2,7.2739999999999999E-2,1.0000000000000001E-5,1E-3,"BEIS","100% laden",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cargo ship","Container ship (8000+ TEU)"]
[null,"Truck","Rigid (>3.5 - 7.5 tonnes)","Diesel","Chilled",0.28948000000000002,0.28665000000000002,5.0000000000000002E-5,2.7899999999999999E-3,"BEIS","100% laden",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cargo ship","Container ship (5000–7999 TEU)"]
[null,"Truck","Rigid (>7.5 - 17 tonnes)","Diesel","Chilled",0.16103000000000001,0.15956999999999999,2.0000000000000002E-5,1.4400000000000001E-3,"BEIS","100% laden",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cargo ship","Container ship (3000–4999 TEU)"]
[null,"Truck","Rigid (>17 tonnes)","Diesel","Chilled",0.14299999999999999,0.14168,2.0000000000000002E-5,1.2999999999999999E-3,"BEIS","100% laden",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cargo ship","Container ship (2000–2999 TEU)"]
[null,"Truck","Average (all rigids)","Diesel","Chilled",0.15282999999999999,0.15140000000000001,2.0000000000000002E-5,1.4E-3,"BEIS","100% laden",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cargo ship","Container ship (1000–1999 TEU)"]
[null,"Truck","Articulated (>3.5 - 33 tonnes)","Diesel","Chilled",8.4559999999999996E-2,8.3479999999999999E-2,1.0000000000000001E-5,1.07E-3,"BEIS","100% laden",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cargo ship","Container ship (0–999 TEU)"]
[null,"Truck","Articulated (>33 tonnes)","Diesel","Chilled",6.8400000000000002E-2,6.7500000000000004E-2,1.0000000000000001E-5,8.8999999999999995E-4,"BEIS","100% laden",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cargo ship","Container ship (Average)"]
[null,"Truck","Average (all artics)","Diesel","Chilled",6.8760000000000002E-2,6.7860000000000004E-2,1.0000000000000001E-5,8.8999999999999995E-4,"BEIS","100% laden",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cargo ship","Vehicle transport (4000+ CEU)"]
[null,"Truck","Average (all trucks)","Diesel","Chilled",8.6389999999999995E-2,8.5379999999999998E-2,1.0000000000000001E-5,1E-3,"BEIS","100% laden",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cargo ship","Vehicle transport (0–3999 CEU)"]
[null,"Non-motorized","Not applicable","Not applicable","Not applicable",0,0,0,0,null,"No emissions",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cargo ship","Vehicle transport (Average)"]
[null,"Van","Average (up to 3.5 tonnes)","Electric","Chilled",{"$f":"F48*(1+$C$63)","v":{"$error":"#REF!"}},{"$f":"TransportEFtable.old[[#This Row],[kg CO2e]]","v":{"$error":"#REF!"}},0,0,null,"Average additional emissions associated with cooling calculated from BEIS data for HGV",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cargo ship","RoRo-Ferry (2000+ LM)"]
[null,"Van","Average (up to 3.5 tonnes)","Electric","Ambient",{"$f":"INDEX('Grid EFs'!$D$6:$D$237,MATCH(country,'Grid EFs'!$B$11:$B$237,0))*0.25091/2","v":{"$error":"#REF!"}},{"$f":"TransportEFtable.old[[#This Row],[kg CO2e]]","v":{"$error":"#REF!"}},0,0,"ev-database.uk","0.25091 kWh/km. Average based on 20 vans, assuming 2 tonne capacity",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cargo ship","RoRo-Ferry (0–1999 LM)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cargo ship","RoRo-Ferry (Average)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cargo ship","Large RoPax ferry (Average)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cargo ship","Refrigerated cargo ( All dwt)"]
[null,"% of additional emissions due to cooling:"]
[]
[null,null,"100% laden"]
[null,{"$f":"'Transport EFs_old'!$C38","v":"Rigid (>3.5 - 7.5 tonnes)"},{"$f":"1-F30/F38","v":0.16014923310764129}]
[null,{"$f":"'Transport EFs_old'!$C39","v":"Rigid (>7.5 - 17 tonnes)"},0.16028069303856418]
[null,{"$f":"'Transport EFs_old'!$C40","v":"Rigid (>17 tonnes)"},0.16020979020979009]
[null,{"$f":"'Transport EFs_old'!$C41","v":"Average (all rigids)"},0.16024340770791068]
[null,{"$f":"'Transport EFs_old'!$C42","v":"Articulated (>3.5 - 33 tonnes)"},0.13564333017975394]
[null,{"$f":"'Transport EFs_old'!$C43","v":"Articulated (>33 tonnes)"},0.13552631578947372]
[null,{"$f":"'Transport EFs_old'!$C44","v":"Average (all artics)"},0.13554392088423506]
[null,{"$f":"'Transport EFs_old'!$C45","v":"Average (all trucks)"},0.1463132306979974]
[null,"Average:",{"$f":"AVERAGE(C55:C62)","v":0.14923874020192079},"Apply this factor to vans EFs"]

{"sheet":"DATA >>","index":41,"n_rows":2,"n_cols":2,"rows_kept":2,"cut":false,"hidden":true,"merged":[]}
[]
[null,"This sheet is left intentionally empty. Every worksheet on the right of this worksheet is filled with data needed for the analysis that sets the basis of this tool's internal database."]

{"sheet":"2017_World_Grid","index":42,"n_rows":244,"n_cols":16,"rows_kept":244,"cut":false,"hidden":true,"merged":[[241,10,242,15],[243,10,245,15],[0,11,0,14]]}
[null,null,null,null,null,null,null,null,null,null,null,"Combined Margin Grid Emission \nFactor, gCO2/kWh"]
[null,"IFC Country","IFC Region","UNFCCC Country","Operating Margin Grid Emission \nFactor (kgCO2e/kWh consumed)",null,"IFC Region","Operating Margin Grid Emission \nFactor (kgCO2e/kWh consumed)",null,null,"UNFCCC Emission Factors dataset","Firm Energy (e.g., Hydro, Geothermal)","Intermittent Energy (e.g., Solar, Wind, Tidal)","Energy Efficiency","Electricity Consumption","Operating Margin Grid Emission \nFactor, gCO2/kWh (including for use in PCAF GHG accounting)"]
[null,"Angola","Africa","Angola",{"$f":"IF(VLOOKUP(D3,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D3,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":1.4757221052631579},null,"Africa",0.66440737253350546,null,null,"Afghanistan",193.24767053546748,331.15120978413364,193.24767053546748,193.24767053546748,413.89333333333337]
[null,"Antigua and Barbuda","Latin America and Caribbean","Antigua and Barbuda",{"$f":"IF(VLOOKUP(D4,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D4,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.75253333333333328},null,"Latin America and Caribbean",0.59646845456989284,null,null,"Albania",0,0,0,0,0]
[null,"Argentina","Latin America and Caribbean","Argentina",{"$f":"IF(VLOOKUP(D5,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D5,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.47813099773856221},null,"South Asia",0.52591210860008886,null,null,"Algeria",397.35996599998509,479.26577733198235,397.35996599998509,397.35996599998509,528.40926413118075]
[null,"Bahamas","Latin America and Caribbean","Bahamas",{"$f":"IF(VLOOKUP(D6,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D6,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.75253333333333328},null,"Europe and Central Asia",0.60337768209246445,null,null,"American Samoa (U.S.)",515.85178606230511,663.77775310669767,515.85178606230511,515.85178606230511,752.5333333333333]
[null,"Bangladesh","South Asia","Bangladesh",{"$f":"IF(VLOOKUP(D7,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D7,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.52792259306846101},null,"East Asia and Pacific",0.77036458993955359,null,null,"Andorra",69.673849573517401,143.71102692340236,69.673849573517401,69.673849573517401,188.13333333333333]
[null,"Barbados","Latin America and Caribbean","Barbados",{"$f":"IF(VLOOKUP(D8,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D8,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.74927285223367701},null,"Middle East and North Africa",0.6951111995959125,null,null,"Angola",747.69930024477492,1202.7135533812645,747.69930024477492,747.69930024477492,1475.722105263158]
[null,"Belize","Latin America and Caribbean","Belize",{"$f":"IF(VLOOKUP(D9,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D9,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.40302166666666672},null,null,null,null,null,"Anguilla (U.K.)",471.54055157656489,647.16104017454518,471.54055157656489,471.54055157656489,752.5333333333333]
[null,"Benin","Africa","Benin",{"$f":"IF(VLOOKUP(D10,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D10,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.74535058179090408},null,null,null,null,null,"Antigua and Barbuda",489.36326941013635,653.84455936213442,489.36326941013635,489.36326941013635,752.5333333333333]
[null,"Bhutan","South Asia","Bhutan",{"$f":"IF(VLOOKUP(D11,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D11,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.52591210860008886},null,null,null,null,null,"Argentina",288.18336045538854,406.90063375737208,288.18336045538854,288.18336045538854,478.1309977385622]
[null,"Bolivia (Plurinational State of)","Latin America and Caribbean","Bolivia, Plurinational State of",{"$f":"IF(VLOOKUP(D12,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D12,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.60361404629505733},null,null,null,null,null,"Armenia",204.54483749672869,320.55359791543992,204.54483749672869,204.54483749672869,390.15885416666669]
[null,"Bosnia and Herzegovina","Europe and Central Asia","Bosnia and Herzegovina",{"$f":"IF(VLOOKUP(D13,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D13,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":1.1972185047864643},null,null,null,null,null,"Aruba",421.10279162662789,628.24688019331882,421.10279162662789,421.10279162662789,752.5333333333333]
[null,"Botswana","Africa","Botswana",{"$f":"IF(VLOOKUP(D14,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D14,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":1.4860623029463913},null,null,null,null,null,"Australia",420.53363647474782,662.58051192348762,420.53363647474782,420.53363647474782,807.80863719273145]
[null,"Brazil","Latin America and Caribbean","Brazil",{"$f":"IF(VLOOKUP(D15,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D15,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.28376405130088012},null,null,null,null,null,"Austria",113.06459924536532,193.60934855053713,113.06459924536532,113.06459924536532,241.93619813364018]
[null,"Burkina Faso","Africa","Burkina Faso",{"$f":"IF(VLOOKUP(D16,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D16,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.75253333333333328},null,null,null,null,null,"Azerbaijan",384.3432466847795,477.71825740120767,384.3432466847795,384.3432466847795,533.74326383106461]
[null,"Burundi","Africa","Burundi",{"$f":"IF(VLOOKUP(D17,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D17,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.41389333333333339},null,null,null,null,null,"Azores (Portugal)",384.12120695363092,614.37878594094491,384.12120695363092,384.12120695363092,752.5333333333333]
[null,"Cabo Verde","Africa","Cape Verde",{"$f":"IF(VLOOKUP(D18,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D18,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.75253333333333328},null,null,null,null,null,"Bahamas",440.84390528246615,635.64979781425814,440.84390528246615,440.84390528246615,752.5333333333333]
[null,"Cambodia","East Asia and Pacific","Cambodia",{"$f":"IF(VLOOKUP(D19,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D19,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":1.0463155595145508},null,null,null,null,null,"Bahrain",454.26772236082775,624.32125515220162,454.26772236082775,454.26772236082775,726.35337482702585]
[null,"Cameroon","Africa","Cameroon",{"$f":"IF(VLOOKUP(D20,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D20,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.65945187013002327},null,null,null,null,null,"Bangladesh",411.7139397607263,484.34434807806042,411.7139397607263,411.7139397607263,527.92259306846097]
[null,"Central African Republic","Africa","Central African Republic",{"$f":"IF(VLOOKUP(D21,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D21,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.18813333333333332},null,null,null,null,null,"Barbados",483.99970861244168,649.79542337571377,483.99970861244168,483.99970861244168,749.27285223367699]
[null,"Chad","Africa","Chad",{"$f":"IF(VLOOKUP(D22,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D22,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.75253333333333328},null,null,null,null,null,"Belarus",291.56017074610708,359.06096367265417,291.56017074610708,291.56017074610708,399.56143942858239]
[null,"Chile","Latin America and Caribbean","Chile",{"$f":"IF(VLOOKUP(D23,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D23,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.65660621583187295},null,null,null,null,null,"Belgium",124.39442830229973,203.87180124163424,124.39442830229973,124.39442830229973,251.55822500523499]
[null,"China","East Asia and Pacific","China (PRC and Hong Kong)",{"$f":"IF(VLOOKUP(D24,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D24,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.89890636354677289},null,null,null,null,null,"Belize",182.95145194239501,320.49533614506481,182.95145194239501,182.95145194239501,403.0216666666667]
[null,"Colombia","Latin America and Caribbean","Colombia",{"$f":"IF(VLOOKUP(D25,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D25,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.40971074730147222},null,null,null,null,null,"Benin",575.76498270398827,681.75598213331068,575.76498270398827,575.76498270398827,745.35058179090413]
[null,"Comoros","Africa","Comoros",{"$f":"IF(VLOOKUP(D26,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D26,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.75253333333333328},null,null,null,null,null,"Bermuda (U.K.)",341.50887228045815,598.39916043850508,341.50887228045815,341.50887228045815,752.5333333333333]
[null,"Congo","Africa","Congo, Republic of",{"$f":"IF(VLOOKUP(D27,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D27,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.65935248281124836},null,null,null,null,null,"Bhutan",0,0,0,0,0]
[null,"Costa Rica","Latin America and Caribbean","Costa Rica",{"$f":"IF(VLOOKUP(D28,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D28,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.10777421052631581},null,null,null,null,null,"Bolivia, Plurinational State of",393.28922931458055,524.74223992737848,393.28922931458055,393.28922931458055,603.61404629505728]
[null,"Cote d'Ivoire","Africa","Côte d'Ivoire",{"$f":"IF(VLOOKUP(D29,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D29,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.46626367667707391},null,null,null,null,null,"Bonaire (Netherland)",400.20085022680689,620.40865216838586,400.20085022680689,400.20085022680689,752.5333333333333]
[null,"Democratic Republic of the Congo","Africa","Congo, Democratic Republic of",{"$f":"IF(VLOOKUP(D30,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D30,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.66440737253350546},null,null,null,null,null,"Bosnia and Herzegovina",738.99703898176494,1025.3854551097022,738.99703898176494,738.99703898176494,1197.2185047864643]
[null,"Dominica","Latin America and Caribbean","Dominica",{"$f":"IF(VLOOKUP(D31,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D31,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.75253333333333328},null,null,null,null,null,"Botswana",1070.2660561769676,1330.1387104078574,1070.2660561769676,1070.2660561769676,1486.0623029463914]
[null,"Dominican Republic","Latin America and Caribbean","Dominican Republic",{"$f":"IF(VLOOKUP(D32,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D32,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.60124214799644926},null,null,null,null,null,"Brazil",150.02455524249805,233.61174027898687,150.02455524249805,150.02455524249805,283.76405130088011]
[null,"Ecuador","Latin America and Caribbean","Ecuador",{"$f":"IF(VLOOKUP(D33,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D33,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.56027269075299524},null,null,null,null,null,"British Virgin Islands (U.K.)",420.19370651198022,627.90597327532589,420.19370651198022,420.19370651198022,752.5333333333333]
[null,"Egypt","Middle East and North Africa","Egypt",{"$f":"IF(VLOOKUP(D34,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D34,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.55384226605880471},null,null,null,null,null,"Brunei Darussalam",407.16262469847078,578.40933589146402,407.16262469847078,407.16262469847078,681.15736260725998]
[null,"El Salvador","Latin America and Caribbean","El Salvador",{"$f":"IF(VLOOKUP(D35,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D35,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.54749210526315795},null,null,null,null,null,"Bulgaria",495.28073716719098,755.40496254498976,495.28073716719098,495.28073716719098,911.47949777166912]
[null,"Equatorial Guinea","Africa","Equatorial Guinea",{"$f":"IF(VLOOKUP(D36,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D36,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.63243284947523382},null,null,null,null,null,"Burkina Faso",539.09725528687409,672.49480406591113,539.09725528687409,539.09725528687409,752.5333333333333]
[null,"Eritrea","Africa","Eritrea",{"$f":"IF(VLOOKUP(D37,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D37,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.91528421052631581},null,null,null,null,null,"Burundi",197.02455268316243,332.56754058951924,197.02455268316243,197.02455268316243,413.89333333333337]
[null,"Eswatini","Africa","Eswatini",{"$f":"IF(VLOOKUP(D38,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D38,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.66440737253350546},null,null,null,null,null,"Cambodia",587.80565791664526,874.37434641533628,587.80565791664526,587.80565791664526,1046.3155595145508]
[null,"Ethiopia","Africa","Ethiopia",{"$f":"IF(VLOOKUP(D39,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D39,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.66440737253350546},null,null,null,null,null,"Cameroon",354.35330317016411,545.0399075200761,354.35330317016411,354.35330317016411,659.45187013002328]
[null,"Fiji","East Asia and Pacific","Fiji",{"$f":"IF(VLOOKUP(D40,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D40,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.6396533333333333},null,null,null,null,null,"Canada",213.36269883078725,312.21196057660518,213.36269883078725,213.36269883078725,371.52151762409591]
[null,"Gabon","Africa","Gabon",{"$f":"IF(VLOOKUP(D41,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D41,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.94581402169996431},null,null,null,null,null,"Canary Islands (Spain)",434.81413856751823,633.38863529615264,434.81413856751823,434.81413856751823,752.5333333333333]
[null,"Gambia","Africa","Gambia",{"$f":"IF(VLOOKUP(D42,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D42,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.75253333333333328},null,null,null,null,null,"Cape Verde",505.02036075606645,659.71596861685828,505.02036075606645,505.02036075606645,752.5333333333333]
[null,"Ghana","Africa","Ghana",{"$f":"IF(VLOOKUP(D43,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D43,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.49476036372488219},null,null,null,null,null,"Cayman Islands",372.6714673977749,610.08513360749885,372.6714673977749,372.6714673977749,752.5333333333333]
[null,"Grenada","Latin America and Caribbean","Grenada",{"$f":"IF(VLOOKUP(D44,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D44,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.75253333333333328},null,null,null,null,null,"Central African Republic",76.543270540411157,146.28705978598751,76.543270540411157,76.543270540411157,188.13333333333333]
[null,"Guatemala","Latin America and Caribbean","Guatemala",{"$f":"IF(VLOOKUP(D45,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D45,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.79782021654724322},null,null,null,null,null,"Chad",580.85894445251802,688.15543750302754,580.85894445251802,580.85894445251802,752.5333333333333]
[null,"Guinea","Latin America and Caribbean","Guinea",{"$f":"IF(VLOOKUP(D46,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D46,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.75253333333333328},null,null,null,null,null,"Channel Islands (U.K)",388.64330796075546,616.07457381861661,388.64330796075546,388.64330796075546,752.5333333333333]
[null,"Guinea-Bissau","Latin America and Caribbean","Guinea-Bissau",{"$f":"IF(VLOOKUP(D47,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D47,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.75253333333333328},null,null,null,null,null,"Chile",235.22759412950063,498.58923269348338,235.22759412950063,235.22759412950063,656.60621583187299]
[null,"Guyana","Latin America and Caribbean","Guyana",{"$f":"IF(VLOOKUP(D48,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D48,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.84658450481104885},null,null,null,null,null,"China (PRC and Hong Kong)",485.41165818310941,743.84584903539917,485.41165818310941,485.41165818310941,898.90636354677292]
[null,"Haiti","Latin America and Caribbean","Haiti",{"$f":"IF(VLOOKUP(D49,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D49,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":1.0476842105263158},null,null,null,null,null,"Colombia",208.3405816551489,334.19693518410099,208.3405816551489,208.3405816551489,409.71074730147222]
[null,"Honduras","Latin America and Caribbean","Honduras",{"$f":"IF(VLOOKUP(D50,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D50,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.66151473684210527},null,null,null,null,null,"Comoros",589.11210738721206,691.25037360353781,589.11210738721206,589.11210738721206,752.5333333333333]
[null,"India","South Asia","India",{"$f":"IF(VLOOKUP(D51,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D51,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.95092171086823973},null,null,null,null,null,"Congo, Democratic Republic of",0.3731949990667075,0.13994812465001533,0.3731949990667075,0.3731949990667075,0]
[null,"Indonesia","East Asia and Pacific","Indonesia",{"$f":"IF(VLOOKUP(D52,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D52,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.78346795097088218},null,null,null,null,null,"Congo, Republic of",405.27115015885988,564.07198306660268,405.27115015885988,405.27115015885988,659.35248281124836]
[null,"Jamaica","Latin America and Caribbean","Jamaica",{"$f":"IF(VLOOKUP(D53,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D53,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.71077986154859829},null,null,null,null,null,"Cook Islands",421.72474668190364,628.48011333904719,421.72474668190364,421.72474668190364,752.5333333333333]
[null,"Kazakhstan","Europe and Central Asia","Kazakhstan",{"$f":"IF(VLOOKUP(D54,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D54,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.79717512023385118},null,null,null,null,null,"Costa Rica",38.890542905425193,81.942835168481835,38.890542905425193,38.890542905425193,107.77421052631581]
[null,"Kenya","Africa","Kenya",{"$f":"IF(VLOOKUP(D55,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D55,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.57397894736842103},null,null,null,null,null,"Côte d'Ivoire",314.23207204883676,409.25182494148504,314.23207204883676,314.23207204883676,466.26367667707393]
[null,"Kiribati","East Asia and Pacific","Kiribati",{"$f":"IF(VLOOKUP(D56,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D56,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.75253333333333328},null,null,null,null,null,"Croatia",167.86317078875766,246.89822139586536,167.86317078875766,167.86317078875766,294.31925176012999]
[null,"Kyrgyzstan","Europe and Central Asia","Kyrgyzstan",{"$f":"IF(VLOOKUP(D57,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D57,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.21714621167186182},null,null,null,null,null,"Cuba",391.16420340992102,496.02914123741243,391.16420340992102,391.16420340992102,558.9481039339073]
[null,"Lao People's Democratic Republic","East Asia and Pacific","Lao People's Democratic Republic",{"$f":"IF(VLOOKUP(D58,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D58,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":1.069072340425532},null,null,null,null,null,"Curacao/Netherlands Antilles",505.73442734547314,737.44646288613148,505.73442734547314,505.73442734547314,876.47368421052636]
[null,"Lebanon","Middle East and North Africa","Lebanon",{"$f":"IF(VLOOKUP(D59,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D59,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.7939578947368422},null,null,null,null,null,"Cyprus",438.0304755089935,633.37327042113577,438.0304755089935,438.0304755089935,750.57894736842104]
[null,"Lesotho","Africa","Lesotho",{"$f":"IF(VLOOKUP(D60,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D60,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.66440737253350546},null,null,null,null,null,"Czech Republic",461.30532071465791,736.46183847750274,461.30532071465791,461.30532071465791,901.55574913520968]
[null,"Liberia","Africa","Liberia",{"$f":"IF(VLOOKUP(D61,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D61,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.67727999999999999},null,null,null,null,null,"Denmark",155.24215224135511,284.23806155210224,155.24215224135511,155.24215224135511,361.63560713855048]
[null,"Madagascar","Africa","Madagascar",{"$f":"IF(VLOOKUP(D62,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D62,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.87573684210526326},null,null,null,null,null,"Djibouti",575.4710042947454,686.1349599438629,575.4710042947454,575.4710042947454,752.5333333333333]
[null,"Malawi","Africa","Malawi",{"$f":"IF(VLOOKUP(D63,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D63,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.48914666666666667},null,null,null,null,null,"Dominica",432.87633042985703,632.66195724452973,432.87633042985703,432.87633042985703,752.5333333333333]
[null,"Malaysia","East Asia and Pacific","Malaysia",{"$f":"IF(VLOOKUP(D64,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D64,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.55098890691619529},null,null,null,null,null,"Dominican Republic",426.21990441060319,535.60880665175705,426.21990441060319,426.21990441060319,601.24214799644926]
[null,"Maldives","South Asia","Maldives",{"$f":"IF(VLOOKUP(D65,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D65,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.75253333333333328},null,null,null,null,null,"Ecuador",280.0294909278872,455.18149081857973,280.0294909278872,280.0294909278872,560.27269075299523]
[null,"Mali","Africa","Mali",{"$f":"IF(VLOOKUP(D66,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D66,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":1.0762526315789476},null,null,null,null,null,"Egypt",405.88937135029744,498.3599305431145,405.88937135029744,405.88937135029744,553.84226605880474]
[null,"Marshall Islands","East Asia and Pacific","Marshall Islands",{"$f":"IF(VLOOKUP(D67,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D67,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.75253333333333328},null,null,null,null,null,"El Salvador",274.85008888093455,445.25134911982411,274.85008888093455,274.85008888093455,547.4921052631579]
[null,"Mauritania","Africa","Mauritania",{"$f":"IF(VLOOKUP(D68,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D68,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.75253333333333328},null,null,null,null,null,"Equatorial Guinea",361.14391543849621,530.69949921145724,361.14391543849621,361.14391543849621,632.43284947523387]
[null,"Mauritius","Africa","Mauritius",{"$f":"IF(VLOOKUP(D69,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D69,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.70044635381945308},null,null,null,null,null,"Eritrea",703.65909562906108,835.92479243984531,703.65909562906108,703.65909562906108,915.28421052631586]
[null,"Mexico","Latin America and Caribbean","Mexico",{"$f":"IF(VLOOKUP(D70,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D70,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.53143352435787061},null,null,null,null,null,"Estonia",625.15083075896132,895.01810709191579,625.15083075896132,625.15083075896132,1056.9384728916884]
[null,"Micronesia (Federated States of)","East Asia and Pacific","Micronesia",{"$f":"IF(VLOOKUP(D71,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D71,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.75253333333333328},null,null,null,null,null,"Eswatini",0,0,0,0,0]
[null,"Mongolia","East Asia and Pacific","Mongolia",{"$f":"IF(VLOOKUP(D72,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D72,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":1.3663251553188454},null,null,null,null,null,"Ethiopia",0.14137451606587195,5.3015443524701986E-2,0.14137451606587195,0.14137451606587195,0]
[null,"Morocco","Middle East and North Africa","Morocco",{"$f":"IF(VLOOKUP(D73,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D73,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.72854654937893293},null,null,null,null,null,"Falkland Islands (U.K.)",315.56387781247656,588.66978751301201,315.56387781247656,315.56387781247656,752.5333333333333]
[null,"Mozambique","Africa","Mozambique",{"$f":"IF(VLOOKUP(D74,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D74,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.23384260480422303},null,null,null,null,null,"Faroe Islands (Denmark)",320.4106740312501,590.48733609505211,320.4106740312501,320.4106740312501,752.5333333333333]
[null,"Myanmar","South Asia","Myanmar",{"$f":"IF(VLOOKUP(D75,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D75,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.71926162502344382},null,null,null,null,null,"Fiji",334.44750654637954,525.20114828822568,334.44750654637954,334.44750654637954,639.65333333333331]
[null,"Namibia","Africa","Namibia",{"$f":"IF(VLOOKUP(D76,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D76,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.35502449160074451},null,null,null,null,null,"Finland",114.07744325305934,209.43587327772903,114.07744325305934,114.07744325305934,266.65093129253086]
[null,"Nepal","South Asia","Nepal",{"$f":"IF(VLOOKUP(D77,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D77,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.52591210860008886},null,null,null,null,null,"France",67.622730217810499,124.19566919827533,67.622730217810499,67.622730217810499,158.13943258655422]
[null,"Nicaragua","Latin America and Caribbean","Nicaragua",{"$f":"IF(VLOOKUP(D78,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D78,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.67527473684210526},null,null,null,null,null,"French Guiana",199.63952023268763,339.50795734215984,199.63952023268763,199.63952023268763,423.4290196078432]
[null,"Niger","Africa","Niger",{"$f":"IF(VLOOKUP(D79,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D79,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.77210526315789485},null,null,null,null,null,"French Polynesia",412.46692155998733,625.0084289183286,412.46692155998733,412.46692155998733,752.5333333333333]
[null,"Nigeria","Africa","Nigeria",{"$f":"IF(VLOOKUP(D80,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D80,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.52593749999999995},null,null,null,null,null,"Gabon",532.93431460808711,790.98413154051036,532.93431460808711,532.93431460808711,945.81402169996431]
[null,"Pakistan","Middle East and North Africa","Pakistan",{"$f":"IF(VLOOKUP(D81,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D81,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.59191609404656631},null,null,null,null,null,"Gambia",590.9736287084296,691.9484440989944,590.9736287084296,590.9736287084296,752.5333333333333]
[null,"Panama","Latin America and Caribbean","Panama",{"$f":"IF(VLOOKUP(D82,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D82,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.47748425394808525},null,null,null,null,null,"Georgia",135.46579806767312,231.34654927537744,135.46579806767312,135.46579806767312,288.875]
[null,"Papua New Guinea","East Asia and Pacific","Papua New Guinea",{"$f":"IF(VLOOKUP(D83,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D83,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.59720701754385963},null,null,null,null,null,"Germany",312.88448375889328,523.38789420681769,312.88448375889328,312.88448375889328,649.68994047557226]
[null,"Paraguay","Latin America and Caribbean","Paraguay",{"$f":"IF(VLOOKUP(D84,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D84,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.59646845456989284},null,null,null,null,null,"Ghana",275.98720016838456,412.72042739119564,275.98720016838456,275.98720016838456,494.76036372488221]
[null,"Peru","Latin America and Caribbean","Peru",{"$f":"IF(VLOOKUP(D85,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D85,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.47308044673957783},null,null,null,null,null,"Gibraltar (U.K.)",368.78488096005384,625.14301457054648,368.78488096005384,368.78488096005384,778.95789473684215]
[null,"Philippines","East Asia and Pacific","Philippines",{"$f":"IF(VLOOKUP(D86,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D86,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.67162321414342363},null,null,null,null,null,"Greece",345.84365638438351,446.64423396319751,345.84365638438351,345.84365638438351,507.12458051048588]
[null,"Rwanda","Africa","Rwanda",{"$f":"IF(VLOOKUP(D87,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D87,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.71228121212121198},null,null,null,null,null,"Greenland",104.81543874366528,204.31368426571655,104.81543874366528,104.81543874366528,264.01263157894732]
[null,"Saint Kitts and Nevis","Latin America and Caribbean","Saint Kitts and Nevis",{"$f":"IF(VLOOKUP(D88,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D88,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.75253333333333328},null,null,null,null,null,"Grenada",522.69728550429636,666.34481539744445,522.69728550429636,522.69728550429636,752.5333333333333]
[null,"Saint Lucia","Latin America and Caribbean","Saint Lucia",{"$f":"IF(VLOOKUP(D89,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D89,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.75253333333333328},null,null,null,null,null,"Guadeloupe (France)",432.83816382376415,632.64764476724486,432.83816382376415,432.83816382376415,752.5333333333333]
[null,"Samoa","East Asia and Pacific","Samoa",{"$f":"IF(VLOOKUP(D90,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D90,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.75253333333333328},null,null,null,null,null,"Guam",427.81751637600723,630.764901974336,427.81751637600723,427.81751637600723,752.5333333333333]
[null,"Sao Tome and Principe","Africa","Sao Tomé & Principe",{"$f":"IF(VLOOKUP(D91,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D91,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.75253333333333328},null,null,null,null,null,"Guatemala",427.10028162566135,658.80024095165015,427.10028162566135,427.10028162566135,797.82021654724326]
[null,"Senegal","Africa","Senegal",{"$f":"IF(VLOOKUP(D92,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D92,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.87016014500976235},null,null,null,null,null,"Guinea",459.55350776006651,642.6658987433583,459.55350776006651,459.55350776006651,752.5333333333333]
[null,"Seychelles","Africa","Seychelles",{"$f":"IF(VLOOKUP(D93,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D93,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.75253333333333328},null,null,null,null,null,"Guinea-Bissau",577.22616240922889,686.79314423679421,577.22616240922889,577.22616240922889,752.5333333333333]
[null,"Sierra Leone","Africa","Sierra Leone",{"$f":"IF(VLOOKUP(D94,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D94,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.48914666666666667},null,null,null,null,null,"Guyana",615.69957527366182,760.00265623452879,615.69957527366182,615.69957527366182,846.58450481104887]
[null,"Solomon Islands","East Asia and Pacific","Solomon Islands",{"$f":"IF(VLOOKUP(D95,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D95,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.75253333333333328},null,null,null,null,null,"Haiti",764.61328169482056,941.53261221450509,764.61328169482056,764.61328169482056,1047.6842105263158]
[null,"Somalia","Africa","Somalia",{"$f":"IF(VLOOKUP(D96,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D96,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.75253333333333328},null,null,null,null,null,"Honduras",359.08721846448907,548.10441745049923,359.08721846448907,359.08721846448907,661.51473684210532]
[null,"South Africa","Africa","South Africa",{"$f":"IF(VLOOKUP(D97,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D97,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":1.0702178314438704},null,null,null,null,null,"Hungary",191.06812185105576,256.57471547971591,191.06812185105576,191.06812185105576,295.87867165691199]
[null,"South Sudan","Africa","South Sudan",{"$f":"IF(VLOOKUP(D98,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D98,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.88981052631578961},null,null,null,null,null,"Iceland",3.2314260442553373E-2,1.2117847665957516E-2,3.2314260442553373E-2,3.2314260442553373E-2,0]
[null,"Sri Lanka","South Asia","Sri Lanka",{"$f":"IF(VLOOKUP(D99,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D99,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.73074549790714349},null,null,null,null,null,"India",607.69882173352266,822.21312744272086,607.69882173352266,607.69882173352266,950.92171086823976]
[null,"Sudan","Africa","Sudan",{"$f":"IF(VLOOKUP(D100,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D100,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.73554631578947371},null,null,null,null,null,"Indonesia",674.50011325265746,742.60501182654798,674.50011325265746,674.50011325265746,783.46795097088216]
[null,"Tajikistan","Europe and Central Asia","Tajikistan",{"$f":"IF(VLOOKUP(D101,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D101,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.25535106382978728},null,null,null,null,null,"Iran, Islamic Republic of",420.91570869559075,527.90450560065176,420.91570869559075,420.91570869559075,592.09778374368841]
[null,"Thailand","East Asia and Pacific","Thailand",{"$f":"IF(VLOOKUP(D102,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D102,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.4504908959100154},null,null,null,null,null,"Iraq",787.91671856532821,970.69954167997457,787.91671856532821,787.91671856532821,1080.3692355487624]
[null,"Timor-Leste","East Asia and Pacific","Timor-Leste",{"$f":"IF(VLOOKUP(D103,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D103,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.75253333333333328},null,null,null,null,null,"Ireland",189.48199631026586,308.70439881753231,189.48199631026586,189.48199631026586,380.23784032189218]
[null,"Togo","Africa","Togo",{"$f":"IF(VLOOKUP(D104,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D104,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.85925309119305637},null,null,null,null,null,"Isle of Man (U.K.)",204.25785650194291,349.26336285489532,204.25785650194291,204.25785650194291,436.26666666666671]
[null,"Tonga","East Asia and Pacific","Tonga",{"$f":"IF(VLOOKUP(D105,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D105,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.75253333333333328},null,null,null,null,null,"Israel",258.34601334393375,343.23027428058924,258.34601334393375,258.34601334393375,394.16083084258253]
[null,"Trinidad and Tobago","Latin America and Caribbean","Trinidad and Tobago",{"$f":"IF(VLOOKUP(D106,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D106,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.55928688693593676},null,null,null,null,null,"Italy",223.71243671342881,342.93064726442412,223.71243671342881,223.71243671342881,414.46157359502132]
[null,"Turkey","Europe and Central Asia","Turkey",{"$f":"IF(VLOOKUP(D107,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D107,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.37620850365060193},null,null,null,null,null,"Jamaica",497.6041530355115,630.83897085619083,497.6041530355115,497.6041530355115,710.77986154859832]
[null,"Tuvalu","East Asia and Pacific","Tuvalu",{"$f":"IF(VLOOKUP(D108,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D108,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.75253333333333328},null,null,null,null,null,"Japan",408.25411194196204,447.75071796038605,408.25411194196204,408.25411194196204,471.44868157144055]
[null,"Uganda","Africa","Uganda",{"$f":"IF(VLOOKUP(D109,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D109,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.27900157894736838},null,null,null,null,null,"Jordan",381.86279856047622,473.56177123516153,381.86279856047622,381.86279856047622,528.58115483997267]
[null,"Ukraine","Europe and Central Asia","Ukraine",{"$f":"IF(VLOOKUP(D110,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D110,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.76826104335145529},null,null,null,null,null,"Kazakhstan",532.21770407285385,697.81608917347728,532.21770407285385,532.21770407285385,797.1751202338512]
[null,"United Republic of Tanzania","Africa","Tanzania, United Republic of",{"$f":"IF(VLOOKUP(D111,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D111,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.53053994868732812},null,null,null,null,null,"Kenya",274.25803622160259,461.58360568836412,274.25803622160259,274.25803622160259,573.97894736842102]
[null,"Uruguay","Latin America and Caribbean","Uruguay",{"$f":"IF(VLOOKUP(D112,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D112,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.1739583772719126},null,null,null,null,null,"Kiribati",529.62444777366818,668.94250124845894,529.62444777366818,529.62444777366818,752.5333333333333]
[null,"Uzbekistan","Europe and Central Asia","Uzbekistan",{"$f":"IF(VLOOKUP(D113,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D113,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.61228332712322942},null,null,null,null,null,"Korea (North), Democratic People's Republic of",359.48250254137201,606.14221563678393,359.48250254137201,359.48250254137201,754.13804349403108]
[null,"Vanuatu","East Asia and Pacific","Vanatu",{"$f":"IF(VLOOKUP(D114,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D114,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.75253333333333328},null,null,null,null,null,"Korea (South), Republic of",335.04687976350891,472.71891349800683,335.04687976350891,335.04687976350891,555.32213373870559]
[null,"Venezuela (Bolivarian Republic of)","Latin America and Caribbean","Venezuela, Bolivarian Republic of",{"$f":"IF(VLOOKUP(D115,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D115,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.71092039129200291},null,null,null,null,null,"Kosovo",842.8157796622196,1031.7230970094665,842.8157796622196,842.8157796622196,1145.0674874178146]
[null,"Viet Nam","East Asia and Pacific","Viet Nam",{"$f":"IF(VLOOKUP(D116,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D116,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.56044106116765835},null,null,null,null,null,"Kuwait",399.76965536565945,571.88189402561943,399.76965536565945,399.76965536565945,675.1492372215954]
[null,"Yemen","Middle East and North Africa","Yemen",{"$f":"IF(VLOOKUP(D117,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D117,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.80729319375841657},null,null,null,null,null,"Kyrgyzstan",97.720914461216495,172.36172521786983,97.720914461216495,97.720914461216495,217.14621167186183]
[null,"Zambia","Africa","Zambia",{"$f":"IF(VLOOKUP(D118,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D118,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":0.41640860304340588},null,null,null,null,null,"Lao People's Democratic Republic",554.56191213040506,876.13092981485943,554.56191213040506,554.56191213040506,1069.072340425532]
[null,"Zimbabwe","Africa","Zimbabwe",{"$f":"IF(VLOOKUP(D119,'2017_World_Grid'!$K$3:$P$234,6,0)=0,VLOOKUP(UNFCCEFs[[#This Row],[IFC Region]],$G$3:$H$8,2,0),VLOOKUP(D119,'2017_World_Grid'!$K$3:$P$234,6,0)/1000)","v":1.5753007845098519},null,null,null,null,null,"Latvia",117.20603105855093,193.86064627995631,117.20603105855093,117.20603105855093,239.85341541279956]
[null,null,null,null,null,null,null,null,null,null,"Lebanon",566.98500341756062,708.84306049211159,566.98500341756062,566.98500341756062,793.95789473684215]
[null,null,null,null,null,null,null,null,null,null,"Lesotho",0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,null,"Liberia",373.91313303397692,563.5174248877413,373.91313303397692,373.91313303397692,677.28]
[null,null,null,null,null,null,null,null,null,null,"Libya",493.33625699416393,602.20066405944715,493.33625699416393,493.33625699416393,667.51930829861703]
[null,null,null,null,null,null,null,null,null,null,"Liechtenstein",52.10260049692787,113.60514185301459,52.10260049692787,52.10260049692787,150.50666666666663]
[null,null,null,null,null,null,null,null,null,null,"Lithuania",101.8441227431646,169.7774225225553,101.8441227431646,101.8441227431646,210.53740239018973]
[null,null,null,null,null,null,null,null,null,null,"Luxembourg",95.040592324606507,173.27033451684076,95.040592324606507,95.040592324606507,220.20817983218129]
[null,null,null,null,null,null,null,null,null,null,"Madagascar",567.41092286541254,760.11462239031925,567.41092286541254,567.41092286541254,875.73684210526324]
[null,null,null,null,null,null,null,null,null,null,"Madeira (Portugal)",368.66348192449874,552.48754446042574,368.66348192449874,368.66348192449874,662.78198198198197]
[null,null,null,null,null,null,null,null,null,null,"Malawi",242.73169367576958,396.7410517950803,242.73169367576958,242.73169367576958,489.14666666666665]
[null,null,null,null,null,null,null,null,null,null,"Malaysia",436.19213559667077,507.94011767137363,436.19213559667077,436.19213559667077,550.98890691619533]
[null,null,null,null,null,null,null,null,null,null,"Maldives",524.46028262705113,667.00593931847743,524.46028262705113,524.46028262705113,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"Mali",623.3716755063615,906.42227305172787,623.3716755063615,623.3716755063615,1076.2526315789476]
[null,null,null,null,null,null,null,null,null,null,"Malta",294.51240553406734,435.23750952826356,294.51240553406734,294.51240553406734,519.67257192478121]
[null,null,null,null,null,null,null,null,null,null,"Marshall Islands",560.92326136014526,680.67955634338784,560.92326136014526,560.92326136014526,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"Martinique (France)",406.42868750288045,622.74409114691343,406.42868750288045,406.42868750288045,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"Mauritania",513.12073333186731,662.75360833278364,513.12073333186731,513.12073333186731,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"Mauritius",542.76295631382914,641.31507975484408,542.76295631382914,542.76295631382914,700.44635381945307]
[null,null,null,null,null,null,null,null,null,null,"Mayotte (France)",511.98871954868207,662.32910316408913,511.98871954868207,511.98871954868207,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"Mexico",358.50447880300788,466.58513227479705,358.50447880300788,358.50447880300788,531.43352435787062]
[null,null,null,null,null,null,null,null,null,null,"Micronesia",556.6305887334513,679.06980410837764,556.6305887334513,556.6305887334513,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"Moldova, Republic of ",399.25864856099395,487.76658964510057,399.25864856099395,399.25864856099395,540.87135429556452]
[null,null,null,null,null,null,null,null,null,null,"Monaco",67.622730217810499,124.19566919827533,67.622730217810499,67.622730217810499,158.13943258655422]
[null,null,null,null,null,null,null,null,null,null,"Mongolia",1001.951322531854,1229.6849680237235,1001.951322531854,1001.951322531854,1366.3251553188454]
[null,null,null,null,null,null,null,null,null,null,"Montenegro",471.04345150526137,738.61469856979215,471.04345150526137,471.04345150526137,899.15744680851071]
[null,null,null,null,null,null,null,null,null,null,"Montserrat",516.98656568336264,664.20329546459425,516.98656568336264,516.98656568336264,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"Morocco",546.8271146982047,660.40176137365984,546.8271146982047,546.8271146982047,728.54654937893292]
[null,null,null,null,null,null,null,null,null,null,"Mozambique",110.7817145243435,187.69477094926822,110.7817145243435,110.7817145243435,233.84260480422304]
[null,null,null,null,null,null,null,null,null,null,"Myanmar",406.81016900032625,602.0923290147748,406.81016900032625,406.81016900032625,719.2616250234438]
[null,null,null,null,null,null,null,null,null,null,"Namibia",138.57700071594977,273.85668251894646,138.57700071594977,138.57700071594977,355.02449160074451]
[null,null,null,null,null,null,null,null,null,null,"Nauru",520.69892127579135,665.59542881175503,520.69892127579135,520.69892127579135,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"Nepal",6.6276843991052159E-3,2.485381649664456E-3,6.6276843991052159E-3,6.6276843991052159E-3,0]
[null,null,null,null,null,null,null,null,null,null,"Netherlands",202.9021450113807,279.89191742794759,202.9021450113807,202.9021450113807,326.08578087788777]
[null,null,null,null,null,null,null,null,null,null,"New Caledonia (France)",445.34111591181664,654.13360028511295,445.34111591181664,445.34111591181664,779.40909090909076]
[null,null,null,null,null,null,null,null,null,null,"New Zealand",107.55764507409098,194.1038707513452,107.55764507409098,107.55764507409098,246.03160615769772]
[null,null,null,null,null,null,null,null,null,null,"Nicaragua",371.97235053851921,561.53634197826057,371.97235053851921,371.97235053851921,675.27473684210531]
[null,null,null,null,null,null,null,null,null,null,"Niger",717.89801320725928,751.77754442640639,717.89801320725928,717.89801320725928,772.1052631578948]
[null,null,null,null,null,null,null,null,null,null,"Nigeria",357.59576603758683,462.80934976409509,357.59576603758683,357.59576603758683,525.9375]
[null,null,null,null,null,null,null,null,null,null,"Niue",458.84793344512082,642.40130837525362,458.84793344512082,458.84793344512082,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"North Macedonia, Republic of",562.84600575398872,742.86177130032024,562.84600575398872,562.84600575398872,850.87123062811906]
[null,null,null,null,null,null,null,null,null,null,"Northern Mariana Islands (U.S.)",416.24593132459222,626.4255575800554,416.24593132459222,416.24593132459222,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"Norway",16.926232606405133,35.502736168416803,16.926232606405133,16.926232606405133,46.648638305623805]
[null,null,null,null,null,null,null,null,null,null,"Oman",319.62029301215279,419.03516445847612,319.62029301215279,319.62029301215279,478.68408732627006]
[null,null,null,null,null,null,null,null,null,null,"Pakistan",385.58443628385584,514.54172238554986,385.58443628385584,385.58443628385584,591.91609404656629]
[null,null,null,null,null,null,null,null,null,null,"Palau",497.19494202756118,656.78143659366879,497.19494202756118,497.19494202756118,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"Palestinian Authority",516.82063307465376,643.07747424510046,516.82063307465376,516.82063307465376,718.83157894736848]
[null,null,null,null,null,null,null,null,null,null,"Panama",230.33956010958133,384.80499375864628,230.33956010958133,230.33956010958133,477.48425394808527]
[null,null,null,null,null,null,null,null,null,null,"Papua New Guinea",315.140709986773,491.43215220995211,315.140709986773,315.140709986773,597.20701754385959]
[null,null,null,null,null,null,null,null,null,null,"Paraguay",1.4536672318183019E-2,5.4512521193186324E-3,1.4536672318183019E-2,1.4536672318183019E-2,0]
[null,null,null,null,null,null,null,null,null,null,"Peru",252.31024108828439,390.29161962034277,252.31024108828439,252.31024108828439,473.08044673957784]
[null,null,null,null,null,null,null,null,null,null,"Philippines",524.98668142032648,616.63451437226217,524.98668142032648,524.98668142032648,671.62321414342364]
[null,null,null,null,null,null,null,null,null,null,"Poland",532.0692783839155,717.21853091683954,532.0692783839155,532.0692783839155,828.30808243659385]
[null,null,null,null,null,null,null,null,null,null,"Portugal",227.74258863381979,328.68678853560834,227.74258863381979,227.74258863381979,389.25330847668147]
[null,null,null,null,null,null,null,null,null,null,"Puerto Rico (U.S.)",361.61668730944325,508.357312593362,361.61668730944325,361.61668730944325,596.4016877637132]
[null,null,null,null,null,null,null,null,null,null,"Qatar",258.11205740676598,411.16051111087057,258.11205740676598,258.11205740676598,502.98958333333337]
[null,null,null,null,null,null,null,null,null,null,"Reunion (France)",420.8579809780482,640.5766448275524,420.8579809780482,420.8579809780482,772.40784313725487]
[null,null,null,null,null,null,null,null,null,null,"Romania",289.47954702504603,414.45902981464099,289.47954702504603,289.47954702504603,489.44671948839789]
[null,null,null,null,null,null,null,null,null,null,"Russian Federation",360.02424543556276,432.30565002541357,360.02424543556276,360.02424543556276,475.674492779324]
[null,null,null,null,null,null,null,null,null,null,"Rwanda",416.00923480616655,601.17922062806997,416.00923480616655,416.00923480616655,712.28121212121198]
[null,null,null,null,null,null,null,null,null,null,"Saint Helena (U.K.)",456.12301120760935,641.37946253618679,456.12301120760935,456.12301120760935,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"Saint Kitts and Nevis",477.08604640944623,649.24060073687565,477.08604640944623,477.08604640944623,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"Saint Lucia",520.90705415317166,665.67347864077271,520.90705415317166,520.90705415317166,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"Saint Martin (France)",483.55495411529171,651.66644112656775,483.55495411529171,483.55495411529171,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"Saint Pierre and Miquelon (France)",414.87524919417905,625.91155178115048,414.87524919417905,414.87524919417905,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"Saint Vincent and Grenadines",499.24849787581934,657.55152003676562,499.24849787581934,499.24849787581934,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"Samoa",434.29372549193522,633.19348039280908,434.29372549193522,434.29372549193522,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"San Marino",223.71243671342881,342.93064726442412,223.71243671342881,223.71243671342881,414.46157359502132]
[null,null,null,null,null,null,null,null,null,null,"Sao Tomé & Principe",564.72331426351616,682.10457618215196,564.72331426351616,564.72331426351616,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"Saudi Arabia",373.68555697289543,509.94781525231076,373.68555697289543,373.68555697289543,591.70517021996]
[null,null,null,null,null,null,null,null,null,null,"Senegal",656.24454611174929,789.94179542300742,656.24454611174929,656.24454611174929,870.16014500976235]
[null,null,null,null,null,null,null,null,null,null,"Serbia",677.72974782899087,932.63709011357628,677.72974782899087,677.72974782899087,1085.5814954843274]
[null,null,null,null,null,null,null,null,null,null,"Seychelles",478.78966080444832,649.87945613500142,478.78966080444832,478.78966080444832,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"Sierra Leone",245.92899433095167,397.94003954077357,245.92899433095167,245.92899433095167,489.14666666666665]
[null,null,null,null,null,null,null,null,null,null,"Singapore",199.64443170570416,311.47880035763274,199.64443170570416,199.64443170570416,378.57942154878987]
[null,null,null,null,null,null,null,null,null,null,"Sint Martin (Netherlands)",463.04431251750447,643.97495052739748,463.04431251750447,463.04431251750447,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"Slovak Republic",163.72125716658411,268.81763285439814,163.72125716658411,163.72125716658411,331.87545826708657]
[null,null,null,null,null,null,null,null,null,null,"Slovenia",284.8539622834993,494.27124396352366,284.8539622834993,284.8539622834993,619.92161297153825]
[null,null,null,null,null,null,null,null,null,null,"Solomon Islands",562.82293622532848,681.39193441783152,562.82293622532848,562.82293622532848,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"Somalia",582.29226405636541,688.69293235447037,582.29226405636541,582.29226405636541,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"South Africa",785.74745478401042,963.54144019642285,785.74745478401042,785.74745478401042,1070.2178314438704]
[null,null,null,null,null,null,null,null,null,null,"South Sudan",704.05083822326856,820.15064328109429,704.05083822326856,704.05083822326856,889.81052631578962]
[null,null,null,null,null,null,null,null,null,null,"Spain",208.69804493845825,329.3432788528321,208.69804493845825,208.69804493845825,401.73041920145641]
[null,null,null,null,null,null,null,null,null,null,"Sri Lanka",505.85473495972747,646.41146180186252,505.85473495972747,505.85473495972747,730.74549790714354]
[null,null,null,null,null,null,null,null,null,null,"Sudan",398.17196931350855,609.0309358609868,398.17196931350855,398.17196931350855,735.54631578947374]
[null,null,null,null,null,null,null,null,null,null,"Suriname",564.88495903124567,854.720017531454,564.88495903124567,564.88495903124567,1028.621052631579]
[null,null,null,null,null,null,null,null,null,null,"Sweden",25.275304048983678,51.960021002945538,25.275304048983678,25.275304048983678,67.97085117532265]
[null,null,null,null,null,null,null,null,null,null,"Switzerland",20.173190933358427,37.593503185813468,20.173190933358427,20.173190933358427,48.04569053728649]
[null,null,null,null,null,null,null,null,null,null,"Syrian Arab Republic",546.47988627525933,650.25042781339596,546.47988627525933,546.47988627525933,712.51275273627789]
[null,null,null,null,null,null,null,null,null,null,"Taiwan (Chinese Taipei)",331.15606772649232,426.73174386294619,331.15606772649232,331.15606772649232,484.07714954481844]
[null,null,null,null,null,null,null,null,null,null,"Tajikistan",105.72642103426016,199.24182278146461,105.72642103426016,105.72642103426016,255.35106382978731]
[null,null,null,null,null,null,null,null,null,null,"Tanzania, United Republic of",336.04980441715134,457.60614458601185,336.04980441715134,336.04980441715134,530.53994868732809]
[null,null,null,null,null,null,null,null,null,null,"Thailand",350.71181490391206,413.07374053272667,350.71181490391206,350.71181490391206,450.49089591001541]
[null,null,null,null,null,null,null,null,null,null,"Timor-Leste",589.21329161003655,691.28831768709699,589.21329161003655,589.21329161003655,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"Togo",596.76663590442013,760.82067045981785,596.76663590442013,596.76663590442013,859.25309119305632]
[null,null,null,null,null,null,null,null,null,null,"Tonga",532.69841597072798,670.09523932235629,532.69841597072798,532.69841597072798,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"Trinidad and Tobago",369.74755991694974,488.20963930381663,369.74755991694974,369.74755991694974,559.28688693593676]
[null,null,null,null,null,null,null,null,null,null,"Tunisia",347.80278400693936,422.75862528469122,347.80278400693936,347.80278400693936,467.73213005134238]
[null,null,null,null,null,null,null,null,null,null,"Turkey",308.80892108595197,350.9336601888582,308.80892108595197,308.80892108595197,376.20850365060193]
[null,null,null,null,null,null,null,null,null,null,"Turkmenistan",675.6267242516152,832.9173132610224,675.6267242516152,675.6267242516152,927.29166666666674]
[null,null,null,null,null,null,null,null,null,null,"Turks and Caicos Islands (U.K.)",450.59347279180747,639.30588563026117,450.59347279180747,450.59347279180747,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"Tuvalu",496.51779142534491,656.52750511783768,496.51779142534491,496.51779142534491,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"Uganda",115.85259002861456,217.82070810283568,115.85259002861456,115.85259002861456,279.00157894736839]
[null,null,null,null,null,null,null,null,null,null,"Ukraine",434.67951906483529,643.16797174397277,434.67951906483529,434.67951906483529,768.26104335145533]
[null,null,null,null,null,null,null,null,null,null,"United Arab Emirates",310.40054313432529,464.20146570047291,310.40054313432529,310.40054313432529,556.48201924016155]
[null,null,null,null,null,null,null,null,null,null,"United Kingdom",218.56929902663236,319.69550215549987,218.56929902663236,218.56929902663236,380.37122403282041]
[null,null,null,null,null,null,null,null,null,null,"United States",245.91061682998978,352.48421040632564,245.91061682998978,245.91061682998978,416.4283665521271]
[null,null,null,null,null,null,null,null,null,null,"Uruguay",64.828543846259706,133.03468973729278,64.828543846259706,64.828543846259706,173.95837727191261]
[null,null,null,null,null,null,null,null,null,null,"Uzbekistan",467.37279085958721,557.94187602436364,467.37279085958721,467.37279085958721,612.28332712322947]
[null,null,null,null,null,null,null,null,null,null,"Vanatu",504.18072672613846,659.40110585563525,504.18072672613846,504.18072672613846,752.5333333333333]
[null,null,null,null,null,null,null,null,null,null,"Venezuela, Bolivarian Republic of",367.75218932752193,582.23231555532254,367.75218932752193,367.75218932752193,710.92039129200293]
[null,null,null,null,null,null,null,null,null,null,"Viet Nam",380.80799846500122,493.07866265416192,380.80799846500122,380.80799846500122,560.4410611676584]
[null,null,null,null,null,null,null,null,null,null,"Virgin Islands (U.S.)",373.01492578103989,546.32167460896744,373.01492578103989,373.01492578103989,650.30572390572388]
[null,null,null,null,null,null,null,null,null,null,"Yemen",614.56213289092454,735.01904593310701,614.56213289092454,614.56213289092454,807.29319375841658]
[null,null,null,null,null,null,null,null,null,null,"Zambia",196.99130651213528,334.1271168441794,196.99130651213528,196.99130651213528,416.40860304340589]
[null,null,null,null,null,null,null,null,null,null,"Zimbabwe",880.25359635548079,1314.6580889519628,880.25359635548079,880.25359635548079,1575.3007845098518]
[]
[]
[]
[]
[null,null,null,null,null,null,null,null,null,null,"EU 27",214.10098075148349,335.69056447762932,214.10098075148349,214.10098075148349,408.64431471331682]
[null,null,null,null,null,null,null,null,null,null,"World",381.38476735523534,509.18550179130966,381.38476735523534,381.38476735523534,585.86594245295419]
[]
[null,null,null,null,null,null,null,null,null,null,"Note 1: For methodology and sources used to derive the default emission factors, please refer to the document \n\"AHG-001: Methodological Approach for the Common Default Grid Emission Factor Dataset\".\n "]
[]
[null,null,null,null,null,null,null,null,null,null,"Note 2: Partnership for Carbon Accounting Financials (PCAF) is a global partnership of financial institutions that work together to develop and implement a harmonized approach to assess and disclose the GHG emissions associated with their loans and investments.\nhttps://carbonaccountingfinancials.com/"]

{"sheet":"Grid EFs","index":43,"n_rows":237,"n_cols":8,"rows_kept":237,"cut":false,"hidden":true,"merged":[]}
[]
[null,"Grid emission factors",null,"IFI TWG - List of methodologies | UNFCCC"]
[null,null,null,"Operating Margin - v3.2, 2021"]
[]
[null,"IFC Country","UNFCCC Country","Electricity EF (kgCO2e/kWh), UNFCCC","Natural gas EF (kgCO2e/kWh) average UK, BEIS",null,null,"Raw UNFCCC as g/kWh"]
[null,null,"Afghanistan",{"$f":"H6/1000","v":0.41399999999999998},0.23,null,null,414]
[null,null,"Albania",{"$f":"H7/1000","v":0},0.23,null,null,0]
[null,"Algeria","Algeria",0.52800000000000002,0.23,null,null,528]
[null,null,"American Samoa (U.S.)",0.753,0.23,null,null,753]
[null,null,"Andorra",0.188,0.23,null,null,188]
[null,"Angola","Angola",1.476,0.23,null,null,1476]
[null,null,"Anguilla (U.K.)",0.753,0.23,null,null,753]
[null,"Antigua and Barbuda","Antigua and Barbuda",0.753,0.23,null,null,753]
[null,"Argentina","Argentina",0.47799999999999998,0.23,null,null,478]
[null,"Armenia","Armenia",0.39,0.23,null,null,390]
[null,null,"Aruba",0.753,0.23,null,null,753]
[null,"Australia","Australia",0.80800000000000005,0.23,null,null,808]
[null,"Austria","Austria",0.24199999999999999,0.23,null,null,242]
[null,"Azerbaijan","Azerbaijan",0.53400000000000003,0.23,null,null,534]
[null,null,"Azores (Portugal)",0.753,0.23,null,null,753]
[null,"Bahamas","Bahamas",0.753,0.23,null,null,753]
[null,null,"Bahrain",0.72599999999999998,0.23,null,null,726]
[null,"Bangladesh","Bangladesh",0.52800000000000002,0.23,null,null,528]
[null,"Barbados","Barbados",0.749,0.23,null,null,749]
[null,null,"Belarus",0.4,0.23,null,null,400]
[null,"Belgium","Belgium",0.252,0.23,null,null,252]
[null,"Belize","Belize",0.40300000000000002,0.23,null,null,403]
[null,"Benin","Benin",0.745,0.23,null,null,745]
[null,null,"Bermuda (U.K.)",0.753,0.23,null,null,753]
[null,"Bhutan","Bhutan",0,0.23,null,null,0]
[null,"Bolivia (Plurinational State of)","Bolivia, Plurinational State of",0.60399999999999998,0.23,null,null,604]
[null,null,"Bonaire (Netherland)",0.753,0.23,null,null,753]
[null,"Bosnia and Herzegovina","Bosnia and Herzegovina",1.1970000000000001,0.23,null,null,1197]
[null,"Botswana","Botswana",1.486,0.23,null,null,1486]
[null,"Brazil","Brazil",0.28399999999999997,0.23,null,null,284]
[null,null,"British Virgin Islands (U.K.)",0.753,0.23,null,null,753]
[null,null,"Brunei Darussalam",0.68100000000000005,0.23,null,null,681]
[null,"Bulgaria","Bulgaria",0.91100000000000003,0.23,null,null,911]
[null,"Burkina Faso","Burkina Faso",0.753,0.23,null,null,753]
[null,"Burundi","Burundi",0.41399999999999998,0.23,null,null,414]
[null,"Cambodia","Cambodia",1.046,0.23,null,null,1046]
[null,"Cameroon","Cameroon",0.65900000000000003,0.23,null,null,659]
[null,"Canada","Canada",0.372,0.23,null,null,372]
[null,null,"Canary Islands (Spain)",0.753,0.23,null,null,753]
[null,"Cabo Verde","Cape Verde",0.753,0.23,null,null,753]
[null,null,"Cayman Islands",0.753,0.23,null,null,753]
[null,"Central African Republic","Central African Republic",0.188,0.23,null,null,188]
[null,"Chad","Chad",0.753,0.23,null,null,753]
[null,null,"Channel Islands (U.K)",0.753,0.23,null,null,753]
[null,"Chile","Chile",0.65700000000000003,0.23,null,null,657]
[null,"China","China (PRC and Hong Kong)",0.89900000000000002,0.23,null,null,899]
[null,"Colombia","Colombia",0.41,0.23,null,null,410]
[null,"Comoros","Comoros",0.753,0.23,null,null,753]
[null,"Democratic Republic of the Congo","Congo, Democratic Republic of",0,0.23,null,null,0]
[null,"Congo","Congo, Republic of",0.65900000000000003,0.23,null,null,659]
[null,null,"Cook Islands",0.753,0.23,null,null,753]
[null,"Costa Rica","Costa Rica",0.108,0.23,null,null,108]
[null,"Cote d'Ivoire","Côte d'Ivoire",0.46600000000000003,0.23,null,null,466]
[null,"Croatia","Croatia",0.29399999999999998,0.23,null,null,294]
[null,null,"Cuba",0.55900000000000005,0.23,null,null,559]
[null,null,"Curacao/Netherlands Antilles",0.876,0.23,null,null,876]
[null,"Cyprus","Cyprus",0.751,0.23,null,null,751]
[null,"Czech Republic","Czech Republic",0.90200000000000002,0.23,null,null,902]
[null,"Denmark","Denmark",0.36199999999999999,0.23,null,null,362]
[null,null,"Djibouti",0.753,0.23,null,null,753]
[null,"Dominica","Dominica",0.753,0.23,null,null,753]
[null,"Dominican Republic","Dominican Republic",0.60099999999999998,0.23,null,null,601]
[null,"Ecuador","Ecuador",0.56000000000000005,0.23,null,null,560]
[null,"Egypt","Egypt",0.55400000000000005,0.23,null,null,554]
[null,"El Salvador","El Salvador",0.54700000000000004,0.23,null,null,547]
[null,"Equatorial Guinea","Equatorial Guinea",{"$f":"H71/1000","v":0.63200000000000001},0.23,null,null,632]
[null,"Eritrea","Eritrea",0.91500000000000004,0.23,null,null,915]
[null,"Estonia","Estonia",1.0569999999999999,0.23,null,null,1057]
[null,"Eswatini","Eswatini",0,0.23,null,null,0]
[null,"Ethiopia","Ethiopia",0,0.23,null,null,0]
[null,null,"Falkland Islands (U.K.)",0.753,0.23,null,null,753]
[null,null,"Faroe Islands (Denmark)",0.753,0.23,null,null,753]
[null,"Fiji","Fiji",0.64,0.23,null,null,640]
[null,"Finland","Finland",0.26700000000000002,0.23,null,null,267]
[null,"France","France",0.158,0.23,null,null,158]
[null,null,"French Guiana",0.42299999999999999,0.23,null,null,423]
[null,null,"French Polynesia",0.753,0.23,null,null,753]
[null,"Gabon","Gabon",0.94599999999999995,0.23,null,null,946]
[null,"Gambia","Gambia",0.753,0.23,null,null,753]
[null,"Georgia","Georgia",0.28899999999999998,0.23,null,null,289]
[null,"Germany","Germany",0.65,0.23,null,null,650]
[null,"Ghana","Ghana",0.495,0.23,null,null,495]
[null,null,"Gibraltar (U.K.)",0.77900000000000003,0.23,null,null,779]
[null,"Greece","Greece",0.50700000000000001,0.23,null,null,507]
[null,null,"Greenland",0.26400000000000001,0.23,null,null,264]
[null,"Grenada","Grenada",0.753,0.23,null,null,753]
[null,null,"Guadeloupe (France)",0.753,0.23,null,null,753]
[null,null,"Guam",0.753,0.23,null,null,753]
[null,"Guatemala","Guatemala",0.79800000000000004,0.23,null,null,798]
[null,"Guinea","Guinea",0.753,0.23,null,null,753]
[null,"Guinea-Bissau","Guinea-Bissau",0.753,0.23,null,null,753]
[null,"Guyana","Guyana",0.84699999999999998,0.23,null,null,847]
[null,"Haiti","Haiti",1.048,0.23,null,null,1048]
[null,"Honduras","Honduras",0.66200000000000003,0.23,null,null,662]
[null,"Hungary","Hungary",0.29599999999999999,0.23,null,null,296]
[null,"Iceland","Iceland",0,0.23,null,null,0]
[null,"India","India",0.95099999999999996,0.23,null,null,951]
[null,"Indonesia","Indonesia",0.78300000000000003,0.23,null,null,783]
[null,null,"Iran, Islamic Republic of",0.59199999999999997,0.23,null,null,592]
[null,null,"Iraq",1.08,0.23,null,null,1080]
[null,"Ireland","Ireland",0.38,0.23,null,null,380]
[null,null,"Isle of Man (U.K.)",0.436,0.23,null,null,436]
[null,null,"Israel",0.39400000000000002,0.23,null,null,394]
[null,"Italy","Italy",0.41399999999999998,0.23,null,null,414]
[null,"Jamaica","Jamaica",0.71099999999999997,0.23,null,null,711]
[null,"Japan","Japan",0.47099999999999997,0.23,null,null,471]
[null,null,"Jordan",0.52900000000000003,0.23,null,null,529]
[null,"Kazakhstan","Kazakhstan",0.79700000000000004,0.23,null,null,797]
[null,"Kenya","Kenya",0.57399999999999995,0.23,null,null,574]
[null,"Kiribati","Kiribati",0.753,0.23,null,null,753]
[null,null,"Korea (North), Democratic People's Republic of",0.754,0.23,null,null,754]
[null,null,"Korea (South), Republic of",0.55500000000000005,0.23,null,null,555]
[null,null,"Kosovo",1.145,0.23,null,null,1145]
[null,null,"Kuwait",0.67500000000000004,0.23,null,null,675]
[null,"Kyrgyzstan","Kyrgyzstan",0.217,0.23,null,null,217]
[null,"Lao People's Democratic Republic","Lao People's Democratic Republic",1.069,0.23,null,null,1069]
[null,"Latvia","Latvia",0.24,0.23,null,null,240]
[null,"Lebanon","Lebanon",0.79400000000000004,0.23,null,null,794]
[null,"Lesotho","Lesotho",0,0.23,null,null,0]
[null,"Liberia","Liberia",0.67700000000000005,0.23,null,null,677]
[null,null,"Libya",0.66800000000000004,0.23,null,null,668]
[null,null,"Liechtenstein",0.151,0.23,null,null,151]
[null,"Lithuania","Lithuania",0.21099999999999999,0.23,null,null,211]
[null,"Luxembourg","Luxembourg",0.22,0.23,null,null,220]
[null,"Madagascar","Madagascar",0.876,0.23,null,null,876]
[null,null,"Madeira (Portugal)",0.66300000000000003,0.23,null,null,663]
[null,"Malawi","Malawi",0.48899999999999999,0.23,null,null,489]
[null,"Malaysia","Malaysia",0.55100000000000005,0.23,null,null,551]
[null,"Maldives","Maldives",0.753,0.23,null,null,753]
[null,"Mali","Mali",{"$f":"H135/1000","v":1.0760000000000001},0.23,null,null,1076]
[null,"Malta","Malta",0.52,0.23,null,null,520]
[null,"Marshall Islands","Marshall Islands",0.753,0.23,null,null,753]
[null,null,"Martinique (France)",0.753,0.23,null,null,753]
[null,"Mauritania","Mauritania",0.753,0.23,null,null,753]
[null,"Mauritius","Mauritius",0.7,0.23,null,null,700]
[null,null,"Mayotte (France)",0.753,0.23,null,null,753]
[null,"Mexico","Mexico",0.53100000000000003,0.23,null,null,531]
[null,"Micronesia (Federated States of)","Micronesia",0.753,0.23,null,null,753]
[null,"Moldova","Moldova, Republic of ",0.54100000000000004,0.23,null,null,541]
[null,null,"Monaco",0.158,0.23,null,null,158]
[null,"Mongolia","Mongolia",1.3660000000000001,0.23,null,null,1366]
[null,null,"Montenegro",0.89900000000000002,0.23,null,null,899]
[null,null,"Montserrat",0.753,0.23,null,null,753]
[null,"Morocco","Morocco",0.72899999999999998,0.23,null,null,729]
[null,"Mozambique","Mozambique",0.23400000000000001,0.23,null,null,234]
[null,"Myanmar","Myanmar",0.71899999999999997,0.23,null,null,719]
[null,"Namibia","Namibia",0.35499999999999998,0.23,null,null,355]
[null,null,"Nauru",0.753,0.23,null,null,753]
[null,"Nepal","Nepal",0,0.23,null,null,0]
[null,"Netherlands","Netherlands",0.32600000000000001,0.23,null,null,326]
[null,null,"New Caledonia (France)",0.77900000000000003,0.23,null,null,779]
[null,"New Zealand","New Zealand",0.246,0.23,null,null,246]
[null,"Nicaragua","Nicaragua",0.67500000000000004,0.23,null,null,675]
[null,"Niger","Niger",0.77200000000000002,0.23,null,null,772]
[null,"Nigeria","Nigeria",0.52600000000000002,0.23,null,null,526]
[null,null,"Niue",0.753,0.23,null,null,753]
[null,null,"North Macedonia, Republic of",0.85099999999999998,0.23,null,null,851]
[null,null,"Northern Mariana Islands (U.S.)",0.753,0.23,null,null,753]
[null,"Norway","Norway",4.7E-2,0.23,null,null,47]
[null,null,"Oman",0.47899999999999998,0.23,null,null,479]
[null,"Pakistan","Pakistan",0.59199999999999997,0.23,null,null,592]
[null,null,"Palau",0.753,0.23,null,null,753]
[null,null,"Palestinian Authority",0.71899999999999997,0.23,null,null,719]
[null,"Panama","Panama",0.47699999999999998,0.23,null,null,477]
[null,"Papua New Guinea","Papua New Guinea",0.59699999999999998,0.23,null,null,597]
[null,"Paraguay","Paraguay",0,0.23,null,null,0]
[null,"Peru","Peru",0.47299999999999998,0.23,null,null,473]
[null,"Philippines","Philippines",0.67200000000000004,0.23,null,null,672]
[null,"Poland","Poland",0.82799999999999996,0.23,null,null,828]
[null,"Portugal","Portugal",0.38900000000000001,0.23,null,null,389]
[null,null,"Puerto Rico (U.S.)",0.59599999999999997,0.23,null,null,596]
[null,null,"Qatar",0.503,0.23,null,null,503]
[null,null,"Reunion (France)",0.77200000000000002,0.23,null,null,772]
[null,"Romania","Romania",0.48899999999999999,0.23,null,null,489]
[null,null,"Russian Federation",0.47599999999999998,0.23,null,null,476]
[null,"Rwanda","Rwanda",0.71199999999999997,0.23,null,null,712]
[null,null,"Saint Helena (U.K.)",0.753,0.23,null,null,753]
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[null,"Store EF kgCO2e/kg 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42425145352E-2,2.6933604765172967E-2,1.376253950428271E-2,1.5545397195432922E-2,1.9369696410502846E-2,6.312429924761556E-3,2.3245944701776732E-2,1.7402585057845036E-2,2.1411523869377724E-2,2.5990827543057766E-2,1.0058104193382326E-2,2.842207694583361E-2]
[]
[null,"The calculations were carried out in a modified version of the FPX Supermarket Calculator, using the following assumptions"]
[null,null,"See file \"Footprint Expert 4.4 - Retail-RDC.xlsm\""]
[]
[null,null,"Nuts/Seeds","Tubers/Root Crops","Fruits","Pulses & Grains","Cotton","Animal Protein","Flour","Vegetables","Mycoprotein"]
[null,"Frozen %",null,null,null,null,null,0.25]
[null,"Chilled %",null,null,null,null,null,0.75]
[null,"Ambient %",1,1,1,1,1,null,1,1,1]
[null,"Days on shelf",28,7,5,28,28,3,28,3,3]
[null,"Ambient temp",18,18,18,18,18,7,18,18,18]
[null,"Specific heat capacity","Vegetable","Vegetable","Fruit","Vegetable","Vegetable","Meat","Vegetable","Vegetable","Vegetable"]
[]
[null,"There is an assumption here that the treatment of each food in a commodity can be the same. But of course after processing"]
[null,"there may well be quite a bit of difference, with some remaining fresh (e.g. corn-on-the-cob) vs canned (as sweetcorn)"]
[]
[null,"Review EF PEF data for better retail assumptions?"]
[]
[null,"In addition to the above values, the 'Supermarket Calculator' also has a range of fixed assumptions that are consistent between"]
[null,"countries and commodities for simplicity and because they are considered less likely to vary or make a difference if so"]
[]
[null,"Calcs in Backend assume that the commodity is either kept ambient, chilled OR frozen at 100% of one choice (no combos allowed)"]
[]
[null,"The list of countries and associated grid factors (a key driving force of difference per country) is derived from the 2017 list on the '2017_World_Grid tab, and either need updating and/or mapping to the specific IFC country list"]
[]
[]
[null,"Adjustment per store type",null,null,null,null,null,null,"Data from FPX based on superstores - adjustment to scale up or down consumption based on store type"]
[null,"Store Type","Electricity consumption (kWh/m2)","Refrigeration (kWh/m2)","% regrigeration","Gas consumption (kWh/m2)","Electricity consumption - Ambient (kWh/m2)2","Electricity consumption - Chilled (kWh/m2)22","Store type adjustment"]
[null,"Convenience store (<280 m2)",1480,888,0.6,62.5,{"$f":"RetailDefaultData[[#This Row],[Electricity consumption (kWh/m2)]]*(1-RetailDefaultData[[#This Row],[% regrigeration]])","v":592},{"$f":"RetailDefaultData[[#This Row],[Electricity consumption (kWh/m2)]]*RetailDefaultData[[#This Row],[% regrigeration]]","v":888},{"$f":"RetailDefaultData[[#This Row],[Electricity consumption (kWh/m2)]]/$C$34","v":1.6086956521739131}]
[null,"Supermarket (280 to 1400 m2)",1300,650,0.5,125,{"$f":"RetailDefaultData[[#This Row],[Electricity consumption (kWh/m2)]]*(1-RetailDefaultData[[#This Row],[% regrigeration]])","v":650},{"$f":"RetailDefaultData[[#This Row],[Electricity consumption (kWh/m2)]]*RetailDefaultData[[#This Row],[% regrigeration]]","v":650},{"$f":"RetailDefaultData[[#This Row],[Electricity consumption (kWh/m2)]]/$C$34","v":1.4130434782608696}]
[null,"Superstore (1400 to 5000 m2)",920,368,0.4,188,{"$f":"RetailDefaultData[[#This Row],[Electricity consumption (kWh/m2)]]*(1-RetailDefaultData[[#This Row],[% regrigeration]])","v":552},{"$f":"RetailDefaultData[[#This Row],[Electricity consumption (kWh/m2)]]*RetailDefaultData[[#This Row],[% regrigeration]]","v":368},{"$f":"RetailDefaultData[[#This Row],[Electricity consumption (kWh/m2)]]/$C$34","v":1}]
[null,"Hypermarkets (>5000 m2)",800,240,0.3,250,{"$f":"RetailDefaultData[[#This Row],[Electricity consumption (kWh/m2)]]*(1-RetailDefaultData[[#This Row],[% regrigeration]])","v":560},{"$f":"RetailDefaultData[[#This Row],[Electricity consumption (kWh/m2)]]*RetailDefaultData[[#This Row],[% regrigeration]]","v":240},{"$f":"RetailDefaultData[[#This Row],[Electricity consumption (kWh/m2)]]/$C$34","v":0.86956521739130432}]
[]
[]
[null,null,null,null,null,null,null,2,3,null,1]
[null,"Commodity","Countries","Store EF kgCO2e/kg =",null,null,null,"IFC Country"," IFC Region","IEA denomination","Commodity group","CONCAT","Store EF kgCO2e/kg ="]
[null,"Nuts/Seeds","Angola",0.13848743546295497,null,null,null,"Australia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H40,$C$40:$C$1479,1,0),VLOOKUP(H40,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Australia"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"AustraliaAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.5117030821632981E-2}]
[null,"Tubers/Root Crops","Angola",0.13848743546295497,null,null,null,"Cambodia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H41,$C$40:$C$1479,1,0),VLOOKUP(H41,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Cambodia"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"CambodiaAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":6.8866816043986701E-2}]
[null,"Pulses & Grains","Angola",0.13848743546295497,null,null,null,"China","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H42,$C$40:$C$1479,1,0),VLOOKUP(H42,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"China"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ChinaAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":6.0374301641944697E-2}]
[null,"Cotton","Angola",0.13848743546295497,null,null,null,"Fiji","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H43,$C$40:$C$1479,1,0),VLOOKUP(H43,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Fiji"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"FijiAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.5411300076442118E-2}]
[null,"Animal Protein","Angola",9.3708864975129966E-2,null,null,null,"Indonesia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H44,$C$40:$C$1479,1,0),VLOOKUP(H44,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Indonesia"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"IndonesiaAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.3672725651217668E-2}]
[null,"Flour","Angola",0.13848743546295497,null,null,null,"Japan","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H45,$C$40:$C$1479,1,0),VLOOKUP(H45,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Japan"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"JapanAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.5647797124434645E-2}]
[null,"Vegetables","Angola",9.3708864975129966E-2,null,null,null,"Kiribati","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H46,$C$40:$C$1479,1,0),VLOOKUP(H46,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Kiribati"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"KiribatiAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.1939559446719304E-2}]
[null,"Mycoprotein","Angola",9.3708864975129966E-2,null,null,null,"Lao People's Democratic Republic","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H47,$C$40:$C$1479,1,0),VLOOKUP(H47,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Lao People's Democratic Republic"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Lao People's Democratic RepublicAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.019557680076878E-2}]
[null,"Fruits","Angola",4.180745578372777E-2,null,null,null,"Malaysia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H48,$C$40:$C$1479,1,0),VLOOKUP(H48,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Malaysia"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MalaysiaAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.0269573669763636E-2}]
[null,"Nuts/Seeds","Antigua and Barbuda",7.841700303246979E-2,null,null,null,"Marshall Islands","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H49,$C$40:$C$1479,1,0),VLOOKUP(H49,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Marshall Islands"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Marshall IslandsAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.1939559446719304E-2}]
[null,"Tubers/Root Crops","Antigua and Barbuda",7.841700303246979E-2,null,null,null,"Micronesia (Federated States of)","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H50,$C$40:$C$1479,1,0),VLOOKUP(H50,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Micronesia (Federated States of)"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Micronesia (Federated States of)Animal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.1939559446719304E-2}]
[null,"Pulses & Grains","Antigua and Barbuda",7.841700303246979E-2,null,null,null,"Mongolia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H51,$C$40:$C$1479,1,0),VLOOKUP(H51,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mongolia"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MongoliaAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":8.7353922225302624E-2}]
[null,"Cotton","Antigua and Barbuda",7.841700303246979E-2,null,null,null,"New Zealand","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H52,$C$40:$C$1479,1,0),VLOOKUP(H52,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"New Zealand"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"New ZealandAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":2.2649050590696891E-2}]
[null,"Animal Protein","Antigua and Barbuda",5.1939559446719304E-2,null,null,null,"Papua New Guinea","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H53,$C$40:$C$1479,1,0),VLOOKUP(H53,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Papua New Guinea"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Papua New GuineaAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.2927095183327796E-2}]
[null,"Flour","Antigua and Barbuda",7.841700303246979E-2,null,null,null,"Philippines","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H54,$C$40:$C$1479,1,0),VLOOKUP(H54,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Philippines"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"PhilippinesAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.7260010694573709E-2}]
[null,"Vegetables","Antigua and Barbuda",5.1939559446719304E-2,null,null,null,"Samoa","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H55,$C$40:$C$1479,1,0),VLOOKUP(H55,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Samoa"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"SamoaAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.1939559446719304E-2}]
[null,"Mycoprotein","Antigua and Barbuda",5.1939559446719304E-2,null,null,null,"Solomon Islands","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H56,$C$40:$C$1479,1,0),VLOOKUP(H56,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Solomon Islands"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Solomon IslandsAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.1939559446719304E-2}]
[null,"Fruits","Antigua and Barbuda",3.4548312092664575E-2,null,null,null,"Thailand","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H57,$C$40:$C$1479,1,0),VLOOKUP(H57,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Thailand"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ThailandAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.4434580781285792E-2}]
[null,"Nuts/Seeds","Argentina",5.5568636617001677E-2,null,null,null,"Timor-Leste","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H58,$C$40:$C$1479,1,0),VLOOKUP(H58,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Timor-Leste"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Timor-LesteAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.1939559446719304E-2}]
[null,"Tubers/Root Crops","Argentina",5.5568636617001677E-2,null,null,null,"Tonga","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H59,$C$40:$C$1479,1,0),VLOOKUP(H59,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Tonga"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TongaAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.1939559446719304E-2}]
[null,"Pulses & Grains","Argentina",5.5568636617001677E-2,null,null,null,"Tuvalu","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H60,$C$40:$C$1479,1,0),VLOOKUP(H60,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Tuvalu"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TuvaluAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.1939559446719304E-2}]
[null,"Cotton","Argentina",5.5568636617001677E-2,null,null,null,"Vanuatu","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H61,$C$40:$C$1479,1,0),VLOOKUP(H61,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Vanuatu"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"VanuatuAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.1939559446719304E-2}]
[null,"Animal Protein","Argentina",3.6052202572150936E-2,null,null,null,"Viet Nam","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H62,$C$40:$C$1479,1,0),VLOOKUP(H62,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Viet Nam"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Viet NamAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.0789523531113148E-2}]
[null,"Flour","Argentina",5.5568636617001677E-2,null,null,null,"Australia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H63,$C$40:$C$1479,1,0),VLOOKUP(H63,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Australia"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"AustraliaCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":8.2986676315563404E-2}]
[null,"Vegetables","Argentina",3.6052202572150936E-2,null,null,null,"Cambodia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H64,$C$40:$C$1479,1,0),VLOOKUP(H64,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Cambodia"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"CambodiaCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":0.10276089888604126}]
[null,"Mycoprotein","Argentina",3.6052202572150936E-2,null,null,null,"China","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H65,$C$40:$C$1479,1,0),VLOOKUP(H65,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"China"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ChinaCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":9.0547408474863755E-2}]
[null,"Fruits","Argentina",3.2520297277508374E-2,null,null,null,"Fiji","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H66,$C$40:$C$1479,1,0),VLOOKUP(H66,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Fiji"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"FijiCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":6.9028401559931993E-2}]
[null,"Nuts/Seeds","Australia",8.2986676315563404E-2,null,null,null,"Indonesia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H67,$C$40:$C$1479,1,0),VLOOKUP(H67,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Indonesia"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"IndonesiaCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":8.090955209597539E-2}]
[null,"Tubers/Root Crops","Australia",8.2986676315563404E-2,null,null,null,"Japan","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H68,$C$40:$C$1479,1,0),VLOOKUP(H68,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Japan"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"JapanCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.4987041835517045E-2}]
[null,"Pulses & Grains","Australia",8.2986676315563404E-2,null,null,null,"Kiribati","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H69,$C$40:$C$1479,1,0),VLOOKUP(H69,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Kiribati"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"KiribatiCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Cotton","Australia",8.2986676315563404E-2,null,null,null,"Lao People's Democratic Republic","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H70,$C$40:$C$1479,1,0),VLOOKUP(H70,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Lao People's Democratic Republic"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Lao People's Democratic RepublicCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":0.1046718531680622}]
[null,"Animal Protein","Australia",5.5117030821632981E-2,null,null,null,"Malaysia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H71,$C$40:$C$1479,1,0),VLOOKUP(H71,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Malaysia"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MalaysiaCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":6.1633839338198666E-2}]
[null,"Flour","Australia",8.2986676315563404E-2,null,null,null,"Marshall Islands","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H72,$C$40:$C$1479,1,0),VLOOKUP(H72,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Marshall Islands"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Marshall IslandsCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Vegetables","Australia",5.5117030821632981E-2,null,null,null,"Micronesia (Federated States of)","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H73,$C$40:$C$1479,1,0),VLOOKUP(H73,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Micronesia (Federated States of)"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Micronesia (Federated States of)Cotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Mycoprotein","Australia",8.2986676315563404E-2,null,null,null,"Mongolia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H74,$C$40:$C$1479,1,0),VLOOKUP(H74,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mongolia"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MongoliaCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":0.12934808889676774}]
[null,"Fruits","Australia",5.6349937763396044E-2,null,null,null,"New Zealand","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H75,$C$40:$C$1479,1,0),VLOOKUP(H75,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"New Zealand"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"New ZealandCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.6292923859224967E-2}]
[null,"Nuts/Seeds","Austria",3.5960583984090883E-2,null,null,null,"Papua New Guinea","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H76,$C$40:$C$1479,1,0),VLOOKUP(H76,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Papua New Guinea"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Papua New GuineaCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":6.5455747902240596E-2}]
[null,"Tubers/Root Crops","Austria",3.5960583984090883E-2,null,null,null,"Philippines","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H77,$C$40:$C$1479,1,0),VLOOKUP(H77,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Philippines"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"PhilippinesCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.1687120561004639E-2}]
[null,"Pulses & Grains","Austria",3.5960583984090883E-2,null,null,null,"Samoa","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H78,$C$40:$C$1479,1,0),VLOOKUP(H78,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Samoa"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"SamoaCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Cotton","Austria",3.5960583984090883E-2,null,null,null,"Solomon Islands","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H79,$C$40:$C$1479,1,0),VLOOKUP(H79,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Solomon Islands"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Solomon IslandsCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Animal Protein","Austria",2.2417961763430444E-2,null,null,null,"Thailand","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H80,$C$40:$C$1479,1,0),VLOOKUP(H80,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Thailand"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ThailandCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.3242257491063115E-2}]
[null,"Flour","Austria",3.5960583984090883E-2,null,null,null,"Timor-Leste","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H81,$C$40:$C$1479,1,0),VLOOKUP(H81,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Timor-Leste"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Timor-LesteCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Vegetables","Austria",2.2417961763430444E-2,null,null,null,"Tonga","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H82,$C$40:$C$1479,1,0),VLOOKUP(H82,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Tonga"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TongaCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Mycoprotein","Austria",3.5960583984090883E-2,null,null,null,"Tuvalu","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H83,$C$40:$C$1479,1,0),VLOOKUP(H83,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Tuvalu"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TuvaluCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Fruits","Austria",2.0943252845510279E-2,null,null,null,"Vanuatu","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H84,$C$40:$C$1479,1,0),VLOOKUP(H84,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Vanuatu"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"VanuatuCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Nuts/Seeds","Bahamas",7.841700303246979E-2,null,null,null,"Viet Nam","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H85,$C$40:$C$1479,1,0),VLOOKUP(H85,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Viet Nam"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Viet NamCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":6.2381604057250357E-2}]
[null,"Tubers/Root Crops","Bahamas",7.841700303246979E-2,null,null,null,"Australia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H86,$C$40:$C$1479,1,0),VLOOKUP(H86,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Australia"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"AustraliaFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":8.2986676315563404E-2}]
[null,"Pulses & Grains","Bahamas",7.841700303246979E-2,null,null,null,"Cambodia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H87,$C$40:$C$1479,1,0),VLOOKUP(H87,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Cambodia"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"CambodiaFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":0.10276089888604126}]
[null,"Cotton","Bahamas",7.841700303246979E-2,null,null,null,"China","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H88,$C$40:$C$1479,1,0),VLOOKUP(H88,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"China"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ChinaFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":9.0547408474863755E-2}]
[null,"Animal Protein","Bahamas",5.1939559446719304E-2,null,null,null,"Fiji","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H89,$C$40:$C$1479,1,0),VLOOKUP(H89,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Fiji"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"FijiFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":6.9028401559931993E-2}]
[null,"Flour","Bahamas",7.841700303246979E-2,null,null,null,"Indonesia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H90,$C$40:$C$1479,1,0),VLOOKUP(H90,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Indonesia"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"IndonesiaFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":8.090955209597539E-2}]
[null,"Vegetables","Bahamas",5.1939559446719304E-2,null,null,null,"Japan","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H91,$C$40:$C$1479,1,0),VLOOKUP(H91,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Japan"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"JapanFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.4987041835517045E-2}]
[null,"Mycoprotein","Bahamas",7.841700303246979E-2,null,null,null,"Kiribati","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H92,$C$40:$C$1479,1,0),VLOOKUP(H92,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Kiribati"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"KiribatiFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Fruits","Bahamas",4.0655384360865063E-2,null,null,null,"Lao People's Democratic Republic","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H93,$C$40:$C$1479,1,0),VLOOKUP(H93,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Lao People's Democratic Republic"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Lao People's Democratic RepublicFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":0.1046718531680622}]
[null,"Nuts/Seeds","Bangladesh",5.9722885056177705E-2,null,null,null,"Malaysia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H94,$C$40:$C$1479,1,0),VLOOKUP(H94,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Malaysia"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MalaysiaFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":6.1633839338198666E-2}]
[null,"Tubers/Root Crops","Bangladesh",5.9722885056177705E-2,null,null,null,"Marshall Islands","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H95,$C$40:$C$1479,1,0),VLOOKUP(H95,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Marshall Islands"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Marshall IslandsFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Pulses & Grains","Bangladesh",5.9722885056177705E-2,null,null,null,"Micronesia (Federated States of)","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H96,$C$40:$C$1479,1,0),VLOOKUP(H96,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Micronesia (Federated States of)"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Micronesia (Federated States of)Flour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Cotton","Bangladesh",5.9722885056177705E-2,null,null,null,"Mongolia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H97,$C$40:$C$1479,1,0),VLOOKUP(H97,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mongolia"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MongoliaFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":0.12934808889676774}]
[null,"Animal Protein","Bangladesh",3.894081291298155E-2,null,null,null,"New Zealand","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H98,$C$40:$C$1479,1,0),VLOOKUP(H98,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"New Zealand"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"New ZealandFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.6292923859224967E-2}]
[null,"Flour","Bangladesh",5.9722885056177705E-2,null,null,null,"Papua New Guinea","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H99,$C$40:$C$1479,1,0),VLOOKUP(H99,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Papua New Guinea"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Papua New GuineaFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":6.5455747902240596E-2}]
[null,"Vegetables","Bangladesh",3.894081291298155E-2,null,null,null,"Philippines","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H100,$C$40:$C$1479,1,0),VLOOKUP(H100,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Philippines"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"PhilippinesFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.1687120561004639E-2}]
[null,"Mycoprotein","Bangladesh",5.9722885056177705E-2,null,null,null,"Samoa","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H101,$C$40:$C$1479,1,0),VLOOKUP(H101,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Samoa"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"SamoaFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Fruits","Bangladesh",4.1623481597663693E-2,null,null,null,"Solomon Islands","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H102,$C$40:$C$1479,1,0),VLOOKUP(H102,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Solomon Islands"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Solomon IslandsFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Nuts/Seeds","Barbados",7.8084663157335699E-2,null,null,null,"Thailand","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H103,$C$40:$C$1479,1,0),VLOOKUP(H103,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Thailand"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ThailandFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.4434580781285792E-2}]
[null,"Tubers/Root Crops","Barbados",7.8084663157335699E-2,null,null,null,"Timor-Leste","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H104,$C$40:$C$1479,1,0),VLOOKUP(H104,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Timor-Leste"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Timor-LesteFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.1939559446719304E-2}]
[null,"Pulses & Grains","Barbados",7.8084663157335699E-2,null,null,null,"Tonga","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H105,$C$40:$C$1479,1,0),VLOOKUP(H105,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Tonga"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TongaFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.1939559446719304E-2}]
[null,"Cotton","Barbados",7.8084663157335699E-2,null,null,null,"Tuvalu","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H106,$C$40:$C$1479,1,0),VLOOKUP(H106,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Tuvalu"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TuvaluFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.1939559446719304E-2}]
[null,"Animal Protein","Barbados",5.1708470619452856E-2,null,null,null,"Vanuatu","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H107,$C$40:$C$1479,1,0),VLOOKUP(H107,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Vanuatu"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"VanuatuFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.1939559446719304E-2}]
[null,"Flour","Barbados",7.8084663157335699E-2,null,null,null,"Viet Nam","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H108,$C$40:$C$1479,1,0),VLOOKUP(H108,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Viet Nam"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Viet NamFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.0789523531113148E-2}]
[null,"Vegetables","Barbados",5.1708470619452856E-2,null,null,null,"Australia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H109,$C$40:$C$1479,1,0),VLOOKUP(H109,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Australia"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"AustraliaFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.6349937763396044E-2}]
[null,"Mycoprotein","Barbados",7.8084663157335699E-2,null,null,null,"Cambodia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H110,$C$40:$C$1479,1,0),VLOOKUP(H110,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Cambodia"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"CambodiaFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.6721974286862394E-2}]
[null,"Fruits","Barbados",4.1623481597663693E-2,null,null,null,"China","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H111,$C$40:$C$1479,1,0),VLOOKUP(H111,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"China"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ChinaFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.7163191152383424E-2}]
[null,"Nuts/Seeds","Belgium",3.679143367192609E-2,null,null,null,"Fiji","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H112,$C$40:$C$1479,1,0),VLOOKUP(H112,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Fiji"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"FijiFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":1.0848279801924578E-2}]
[null,"Tubers/Root Crops","Belgium",3.679143367192609E-2,null,null,null,"Indonesia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H113,$C$40:$C$1479,1,0),VLOOKUP(H113,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Indonesia"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"IndonesiaFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.576964456600246E-2}]
[null,"Pulses & Grains","Belgium",3.679143367192609E-2,null,null,null,"Japan","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H114,$C$40:$C$1479,1,0),VLOOKUP(H114,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Japan"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"JapanFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.109776492220437E-2}]
[null,"Cotton","Belgium",3.679143367192609E-2,null,null,null,"Kiribati","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H115,$C$40:$C$1479,1,0),VLOOKUP(H115,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Kiribati"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"KiribatiFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":2.1370360659735757E-2}]
[null,"Animal Protein","Belgium",2.2995683831596565E-2,null,null,null,"Lao People's Democratic Republic","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H116,$C$40:$C$1479,1,0),VLOOKUP(H116,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Lao People's Democratic Republic"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Lao People's Democratic RepublicFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":1.356864490199537E-2}]
[null,"Flour","Belgium",3.679143367192609E-2,null,null,null,"Malaysia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H117,$C$40:$C$1479,1,0),VLOOKUP(H117,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Malaysia"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MalaysiaFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.815018183985359E-2}]
[null,"Vegetables","Belgium",2.2995683831596565E-2,null,null,null,"Marshall Islands","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H118,$C$40:$C$1479,1,0),VLOOKUP(H118,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Marshall Islands"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Marshall IslandsFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.5409747041931207E-2}]
[null,"Mycoprotein","Belgium",3.679143367192609E-2,null,null,null,"Micronesia (Federated States of)","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H119,$C$40:$C$1479,1,0),VLOOKUP(H119,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Micronesia (Federated States of)"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Micronesia (Federated States of)Fruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.7694783031085588E-2}]
[null,"Fruits","Belgium",2.1470582855392377E-2,null,null,null,"Mongolia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H120,$C$40:$C$1479,1,0),VLOOKUP(H120,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mongolia"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MongoliaFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":8.2280836276324695E-2}]
[null,"Nuts/Seeds","Belize",4.9337263958237662E-2,null,null,null,"New Zealand","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H121,$C$40:$C$1479,1,0),VLOOKUP(H121,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"New Zealand"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"New ZealandFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":1.6935577389529687E-2}]
[null,"Tubers/Root Crops","Belize",4.9337263958237662E-2,null,null,null,"Papua New Guinea","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H122,$C$40:$C$1479,1,0),VLOOKUP(H122,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Papua New Guinea"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Papua New GuineaFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":2.0734464491551429E-2}]
[null,"Pulses & Grains","Belize",4.9337263958237662E-2,null,null,null,"Philippines","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H123,$C$40:$C$1479,1,0),VLOOKUP(H123,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Philippines"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"PhilippinesFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.7595366120237938E-2}]
[null,"Cotton","Belize",4.9337263958237662E-2,null,null,null,"Samoa","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H124,$C$40:$C$1479,1,0),VLOOKUP(H124,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Samoa"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"SamoaFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":2.9585354197154093E-2}]
[null,"Animal Protein","Belize",3.1719287060905016E-2,null,null,null,"Solomon Islands","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H125,$C$40:$C$1479,1,0),VLOOKUP(H125,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Solomon Islands"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Solomon IslandsFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":2.4619180869479878E-2}]
[null,"Tubers/Root Crops","Benin",7.7752323282201607E-2,null,null,null,"Viet Nam","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H131,$C$40:$C$1479,1,0),VLOOKUP(H131,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Viet Nam"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Viet NamFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":2.9602569621895669E-2}]
[null,"Fruits","Benin",4.8165191409996241E-2,null,null,null,"Kiribati","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H138,$C$40:$C$1479,1,0),VLOOKUP(H138,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Kiribati"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"KiribatiMycoprotein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Nuts/Seeds","Bolivia (Plurinational State of)",6.6037342683725242E-2,null,null,null,"Solomon Islands","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H148,$C$40:$C$1479,1,0),VLOOKUP(H148,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Solomon Islands"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Solomon IslandsMycoprotein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Mycoprotein","Bosnia and Herzegovina",0.1153067291723528,null,null,null,"Marshall Islands","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H164,$C$40:$C$1479,1,0),VLOOKUP(H164,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Marshall Islands"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Marshall IslandsNuts/Seeds"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Nuts/Seeds","Brazil",3.9450152672998735E-2,null,null,null,"Tuvalu","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H175,$C$40:$C$1479,1,0),VLOOKUP(H175,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Tuvalu"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TuvaluNuts/Seeds"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Pulses & Grains","Bulgaria",9.1544428100266001E-2,null,null,null,"Malaysia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H186,$C$40:$C$1479,1,0),VLOOKUP(H186,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Malaysia"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MalaysiaPulses & Grains"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":6.1633839338198666E-2}]
[null,"Cotton","Burkina Faso",7.841700303246979E-2,null,null,null,"Timor-Leste","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H196,$C$40:$C$1479,1,0),VLOOKUP(H196,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Timor-Leste"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Timor-LestePulses & Grains"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Vegetables","Burundi",3.2354781335887747E-2,null,null,null,"Lao People's Democratic Republic","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H208,$C$40:$C$1479,1,0),VLOOKUP(H208,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Lao People's Democratic Republic"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Lao People's Democratic RepublicTubers/Root Crops"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":0.1046718531680622}]
[null,"Nuts/Seeds","Cabo Verde",7.841700303246979E-2,null,null,null,"Micronesia (Federated States of)","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H211,$C$40:$C$1479,1,0),VLOOKUP(H211,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Micronesia (Federated States of)"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Micronesia (Federated States of)Tubers/Root Crops"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Flour","Cambodia",0.10276089888604126,null,null,null,"Cambodia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H225,$C$40:$C$1479,1,0),VLOOKUP(H225,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Cambodia"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"CambodiaVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":6.8866816043986701E-2}]
[null,"Animal Protein","Cameroon",4.6508972005957758E-2,null,null,null,"Marshall Islands","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H233,$C$40:$C$1479,1,0),VLOOKUP(H233,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Marshall Islands"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Marshall IslandsVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.1939559446719304E-2}]
[null,"Flour","Canada",4.6761629925948525E-2,null,null,null,"Tonga","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(H243,$C$40:$C$1479,1,0),VLOOKUP(H243,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Tonga"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TongaVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.1939559446719304E-2}]
[null,"Pulses & Grains","Chad",7.841700303246979E-2,null,null,null,"Finland","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H258,$C$40:$C$1479,1,0),VLOOKUP(H258,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Finland"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"FinlandAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":2.3862266933845751E-2}]
[null,"Nuts/Seeds","Chile",7.0440846029251825E-2,null,null,null,"Ireland","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H265,$C$40:$C$1479,1,0),VLOOKUP(H265,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Ireland"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"IrelandAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.0390526304122936E-2}]
[null,"Tubers/Root Crops","China",9.0547408474863755E-2,null,null,null,"Norway","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H275,$C$40:$C$1479,1,0),VLOOKUP(H275,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Norway"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NorwayAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":1.1152381434191054E-2}]
[null,"Fruits","Colombia",1.9044463513217147E-2,null,null,null,"Austria","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H291,$C$40:$C$1479,1,0),VLOOKUP(H291,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Austria"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"AustriaCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.5960583984090883E-2}]
[null,"Tubers/Root Crops","Congo",7.060701596681887E-2,null,null,null,"France","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H302,$C$40:$C$1479,1,0),VLOOKUP(H302,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"France"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"FranceCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":2.8981446606275177E-2}]
[null,"Flour","Congo",7.060701596681887E-2,null,null,null,"Hungary","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H306,$C$40:$C$1479,1,0),VLOOKUP(H306,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Hungary"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"HungaryCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.0447172298400981E-2}]
[null,"Animal Protein","Cote d'Ivoire",3.5358936090351595E-2,null,null,null,"Slovenia","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H323,$C$40:$C$1479,1,0),VLOOKUP(H323,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Slovenia"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"SloveniaCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":6.7366702184261579E-2}]
[null,"Mycoprotein","Croatia",4.0281002360833942E-2,null,null,null,"Azerbaijan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H335,$C$40:$C$1479,1,0),VLOOKUP(H335,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Azerbaijan"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"AzerbaijanFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":2.6720843814010405E-2}]
[null,"Tubers/Root Crops","Cyprus",7.825083309490273E-2,null,null,null,"Bulgaria","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H338,$C$40:$C$1479,1,0),VLOOKUP(H338,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Bulgaria"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BulgariaFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":9.1544428100266001E-2}]
[null,"Vegetables","Czech Republic",6.0547618262394534E-2,null,null,null,"Italy","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H352,$C$40:$C$1479,1,0),VLOOKUP(H352,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Italy"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ItalyFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.0251198614856378E-2}]
[null,"Nuts/Seeds","Denmark",4.5930780238113318E-2,null,null,null,"Romania","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H364,$C$40:$C$1479,1,0),VLOOKUP(H364,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Romania"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"RomaniaFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.6482571273620399E-2}]
[null,"Vegetables","Denmark",2.9350626581423914E-2,null,null,null,"Tajikistan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H370,$C$40:$C$1479,1,0),VLOOKUP(H370,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Tajikistan"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TajikistanFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":2.3169000452046402E-2}]
[null,"Cotton","Dominican Republic",6.5788087777374687E-2,null,null,null,"Denmark","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H385,$C$40:$C$1479,1,0),VLOOKUP(H385,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Denmark"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"DenmarkFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":1.9857393467110192E-2}]
[null,"Flour","Ecuador",6.2381604057250357E-2,null,null,null,"Kazakhstan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H396,$C$40:$C$1479,1,0),VLOOKUP(H396,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Kazakhstan"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"KazakhstanFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.6258582550028821E-2}]
[null,"Vegetables","Egypt",4.0442890290213473E-2,null,null,null,"Portugal","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H406,$C$40:$C$1479,1,0),VLOOKUP(H406,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Portugal"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"PortugalFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.0239179486947664E-2}]
[null,"Pulses & Grains","El Salvador",6.1301499463064589E-2,null,null,null,"Sweden","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H411,$C$40:$C$1479,1,0),VLOOKUP(H411,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Sweden"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"SwedenFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":1.0795037990294106E-2}]
[null,"Flour","Equatorial Guinea",6.8363721809663811E-2,null,null,null,"Bosnia and Herzegovina","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H423,$C$40:$C$1479,1,0),VLOOKUP(H423,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Bosnia and Herzegovina"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Bosnia and HerzegovinaMycoprotein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":0.1153067291723528}]
[null,"Tubers/Root Crops","Estonia",0.10367483354265997,null,null,null,"Ireland","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H437,$C$40:$C$1479,1,0),VLOOKUP(H437,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Ireland"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"IrelandMycoprotein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.7426309676216694E-2}]
[null,"Mycoprotein","Estonia",0.10367483354265997,null,null,null,"Luxembourg","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H443,$C$40:$C$1479,1,0),VLOOKUP(H443,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Luxembourg"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"LuxembourgMycoprotein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.4132714670853437E-2}]
[null,"Pulses & Grains","Ethiopia",1.5854021538478962E-2,null,null,null,"Tajikistan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H456,$C$40:$C$1479,1,0),VLOOKUP(H456,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Tajikistan"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TajikistanMycoprotein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.7040688578276651E-2}]
[null,"Vegetables","Fiji",4.5411300076442118E-2,null,null,null,"Cyprus","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H469,$C$40:$C$1479,1,0),VLOOKUP(H469,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Cyprus"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"CyprusNuts/Seeds"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.825083309490273E-2}]
[null,"Pulses & Grains","France",2.8981446606275177E-2,null,null,null,"Kyrgyzstan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H483,$C$40:$C$1479,1,0),VLOOKUP(H483,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Kyrgyzstan"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"KyrgyzstanNuts/Seeds"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.3883459764502882E-2}]
[null,"Tubers/Root Crops","Gabon",9.4452402007689201E-2,null,null,null,"Poland","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H491,$C$40:$C$1479,1,0),VLOOKUP(H491,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Poland"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"PolandNuts/Seeds"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":8.4648375691233804E-2}]
[null,"Pulses & Grains","Gambia",7.841700303246979E-2,null,null,null,"Turkmenistan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H501,$C$40:$C$1479,1,0),VLOOKUP(H501,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Turkmenistan"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TurkmenistanNuts/Seeds"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.6803036066532576E-2}]
[null,"Fruits","Germany",3.5447261062565343E-2,null,null,null,"Finland","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H516,$C$40:$C$1479,1,0),VLOOKUP(H516,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Finland"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"FinlandPulses & Grains"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.8037708203678897E-2}]
[null,"Tubers/Root Crops","Greece",5.7978100711723775E-2,null,null,null,"Latvia","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H527,$C$40:$C$1479,1,0),VLOOKUP(H527,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Latvia"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"LatviaPulses & Grains"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.5794414046523844E-2}]
[null,"Mycoprotein","Greece",5.7978100711723775E-2,null,null,null,"Norway","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H533,$C$40:$C$1479,1,0),VLOOKUP(H533,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Norway"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NorwayPulses & Grains"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":1.9759015071304419E-2}]
[null,"Cotton","Grenada",7.841700303246979E-2,null,null,null,"Slovenia","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H538,$C$40:$C$1479,1,0),VLOOKUP(H538,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Slovenia"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"SloveniaPulses & Grains"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":6.7366702184261579E-2}]
[null,"Vegetables","Guatemala",5.4539308753466853E-2,null,null,null,"Azerbaijan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H550,$C$40:$C$1479,1,0),VLOOKUP(H550,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Azerbaijan"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"AzerbaijanTubers/Root Crops"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.6750287041430263E-2}]
[null,"Pulses & Grains","Guinea-Bissau",7.841700303246979E-2,null,null,null,"Hungary","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H564,$C$40:$C$1479,1,0),VLOOKUP(H564,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Hungary"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"HungaryTubers/Root Crops"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.0447172298400981E-2}]
[null,"Cotton","Guyana",8.6226990098120695E-2,null,null,null,"Moldova","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H574,$C$40:$C$1479,1,0),VLOOKUP(H574,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Moldova"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MoldovaTubers/Root Crops"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.1973043851174341E-2}]
[null,"Cotton","Haiti",0.10292706882360829,null,null,null,"Sweden","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H583,$C$40:$C$1479,1,0),VLOOKUP(H583,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Sweden"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"SwedenTubers/Root Crops"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":2.1503799415758345E-2}]
[null,"Mycoprotein","Honduras",7.0856270873169439E-2,null,null,null,"Bulgaria","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H596,$C$40:$C$1479,1,0),VLOOKUP(H596,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Bulgaria"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BulgariaVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":6.1067568123744045E-2}]
[null,"Cotton","Iceland",1.5854021538478962E-2,null,null,null,"Italy","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H610,$C$40:$C$1479,1,0),VLOOKUP(H610,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Italy"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ItalyVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.2354781335887747E-2}]
[null,"Vegetables","India",6.3378456396408531E-2,null,null,null,"Romania","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H622,$C$40:$C$1479,1,0),VLOOKUP(H622,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Romania"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"RomaniaVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.6687696847133668E-2}]
[null,"Cotton","Indonesia",8.090955209597539E-2,null,null,null,"Tajikistan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(H628,$C$40:$C$1479,1,0),VLOOKUP(H628,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Tajikistan"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TajikistanVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":2.3169000452046402E-2}]
[null,"Nuts/Seeds","Italy",5.0251198614856378E-2,null,null,null,"Costa Rica","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(H643,$C$40:$C$1479,1,0),VLOOKUP(H643,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Costa Rica"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Costa RicaAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":1.4676486050004401E-2}]
[null,"Pulses & Grains","Jamaica",7.492743434356193E-2,null,null,null,"Mexico","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(H654,$C$40:$C$1479,1,0),VLOOKUP(H654,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mexico"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MexicoAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.9114129533431387E-2}]
[null,"Fruits","Jamaica",4.4844992731342494E-2,null,null,null,"Saint Lucia","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(H660,$C$40:$C$1479,1,0),VLOOKUP(H660,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Saint Lucia"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Saint LuciaAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.1939559446719304E-2}]
[null,"Fruits","Japan",4.109776492220437E-2,null,null,null,"Bolivia (Plurinational State of)","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(H669,$C$40:$C$1479,1,0),VLOOKUP(H669,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Bolivia (Plurinational State of)"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Bolivia (Plurinational State of)Cotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":6.6037342683725242E-2}]
[null,"Pulses & Grains","Kenya",6.3544793620219642E-2,null,null,null,"Haiti","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(H681,$C$40:$C$1479,1,0),VLOOKUP(H681,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Haiti"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"HaitiCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":0.10292706882360829}]
[null,"Mycoprotein","Kiribati",7.841700303246979E-2,null,null,null,"Argentina","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(H695,$C$40:$C$1479,1,0),VLOOKUP(H695,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Argentina"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ArgentinaFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.5568636617001677E-2}]
[null,"Animal Protein","Kyrgyzstan",2.0973656593015137E-2,null,null,null,"Chile","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(H701,$C$40:$C$1479,1,0),VLOOKUP(H701,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Chile"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ChileFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.0440846029251825E-2}]
[null,"Animal Protein","Lao People's Democratic Republic",7.019557680076878E-2,null,null,null,"Guyana","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(H710,$C$40:$C$1479,1,0),VLOOKUP(H710,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Guyana"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"GuyanaFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":8.6226990098120695E-2}]
[null,"Cotton","Lebanon",8.1823486752594127E-2,null,null,null,"Barbados","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(H727,$C$40:$C$1479,1,0),VLOOKUP(H727,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Barbados"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BarbadosFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.1623481597663693E-2}]
[null,"Mycoprotein","Lebanon",8.1823486752594127E-2,null,null,null,"Chile","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(H731,$C$40:$C$1479,1,0),VLOOKUP(H731,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Chile"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ChileFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.7163191152383424E-2}]
[null,"Nuts/Seeds","Liberia",7.2102545404922239E-2,null,null,null,"Honduras","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(H742,$C$40:$C$1479,1,0),VLOOKUP(H742,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Honduras"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"HondurasFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":2.9383649072776095E-2}]
[null,"Fruits","Lithuania",1.5144306862002712E-2,null,null,null,"Bolivia (Plurinational State of)","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(H759,$C$40:$C$1479,1,0),VLOOKUP(H759,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Bolivia (Plurinational State of)"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Bolivia (Plurinational State of)Mycoprotein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":6.6037342683725242E-2}]
[null,"Animal Protein","Luxembourg",2.1146973213464974E-2,null,null,null,"Dominica","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(H764,$C$40:$C$1479,1,0),VLOOKUP(H764,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Dominica"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"DominicaMycoprotein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Flour","Madagascar",8.8636454192842787E-2,null,null,null,"Mexico","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(H774,$C$40:$C$1479,1,0),VLOOKUP(H774,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mexico"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MexicoMycoprotein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.9972139962528259E-2}]
[null,"Animal Protein","Malaysia",4.0269573669763636E-2,null,null,null,"Chile","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(H791,$C$40:$C$1479,1,0),VLOOKUP(H791,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Chile"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ChileNuts/Seeds"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.0440846029251825E-2}]
[null,"Animal Protein","Maldives",5.1939559446719304E-2,null,null,null,"Guyana","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(H800,$C$40:$C$1479,1,0),VLOOKUP(H800,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Guyana"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"GuyanaNuts/Seeds"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":8.6226990098120695E-2}]
[null,"Cotton","Mali",0.10525344794954686,null,null,null,"Peru","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(H808,$C$40:$C$1479,1,0),VLOOKUP(H808,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Peru"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"PeruNuts/Seeds"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.515321177308409E-2}]
[null,"Fruits","Malta",3.5409747041931207E-2,null,null,null,"Colombia","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(H822,$C$40:$C$1479,1,0),VLOOKUP(H822,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Colombia"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ColombiaPulses & Grains"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.9918858739722301E-2}]
[null,"Nuts/Seeds","Mauritania",7.841700303246979E-2,null,null,null,"Honduras","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(H832,$C$40:$C$1479,1,0),VLOOKUP(H832,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Honduras"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"HondurasPulses & Grains"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.0856270873169439E-2}]
[null,"Nuts/Seeds","Mauritius",7.4013499686943193E-2,null,null,null,"Trinidad and Tobago","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(H841,$C$40:$C$1479,1,0),VLOOKUP(H841,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Trinidad and Tobago"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Trinidad and TobagoPulses & Grains"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":6.2298519088466842E-2}]
[null,"Animal Protein","Mexico",3.9114129533431387E-2,null,null,null,"Dominica","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(H854,$C$40:$C$1479,1,0),VLOOKUP(H854,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Dominica"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"DominicaTubers/Root Crops"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Fruits","Mexico",3.7694783031085588E-2,null,null,null,"Grenada","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(H858,$C$40:$C$1479,1,0),VLOOKUP(H858,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Grenada"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"GrenadaTubers/Root Crops"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Tubers/Root Crops","Mongolia",0.12934808889676774,null,null,null,"Saint Kitts and Nevis","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(H869,$C$40:$C$1479,1,0),VLOOKUP(H869,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Saint Kitts and Nevis"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Saint Kitts and NevisTubers/Root Crops"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Pulses & Grains","Morocco",7.6422963781665298E-2,null,null,null,"Bolivia (Plurinational State of)","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(H879,$C$40:$C$1479,1,0),VLOOKUP(H879,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Bolivia (Plurinational State of)"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Bolivia (Plurinational State of)Vegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.3331500631044073E-2}]
[null,"Flour","Mozambique",3.5295904233822721E-2,null,null,null,"Haiti","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(H891,$C$40:$C$1479,1,0),VLOOKUP(H891,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Haiti"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"HaitiVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":6.8982360457619921E-2}]
[null,"Vegetables","Myanmar",4.9975304414954486E-2,null,null,null,"Trinidad and Tobago","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(H901,$C$40:$C$1479,1,0),VLOOKUP(H901,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Trinidad and Tobago"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Trinidad and TobagoVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.0731751324296531E-2}]
[null,"Flour","Nepal",1.5854021538478962E-2,null,null,null,"Lebanon","Middle East and North Africa",{"$f":"IFERROR(VLOOKUP(H918,$C$40:$C$1479,1,0),VLOOKUP(H918,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Lebanon"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"LebanonFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":8.1823486752594127E-2}]
[null,"Flour","Netherlands",4.2939721361906595E-2,null,null,null,"Yemen","Middle East and North Africa",{"$f":"IFERROR(VLOOKUP(H927,$C$40:$C$1479,1,0),VLOOKUP(H927,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Yemen"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"YemenFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.4187795457819201E-2}]
[null,"Animal Protein","New Zealand",2.2649050590696891E-2,null,null,null,"Egypt","Middle East and North Africa",{"$f":"IFERROR(VLOOKUP(H935,$C$40:$C$1479,1,0),VLOOKUP(H935,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Egypt"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"EgyptNuts/Seeds"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":6.1883094244549228E-2}]
[null,"Pulses & Grains","Nicaragua",7.1936375467355207E-2,null,null,null,"Lebanon","Middle East and North Africa",{"$f":"IFERROR(VLOOKUP(H942,$C$40:$C$1479,1,0),VLOOKUP(H942,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Lebanon"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"LebanonPulses & Grains"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":8.1823486752594127E-2}]
[null,"Tubers/Root Crops","Nigeria",5.9556715118610659E-2,null,null,null,"United States of America","North America",{"$f":"IFERROR(VLOOKUP(H959,$C$40:$C$1479,1,0),VLOOKUP(H959,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"United States of America"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"United States of AmericaAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.2470325749520974E-2}]
[null,"Tubers/Root Crops","Norway",1.9759015071304419E-2,null,null,null,"Canada","North America",{"$f":"IFERROR(VLOOKUP(H968,$C$40:$C$1479,1,0),VLOOKUP(H968,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Canada"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"CanadaNuts/Seeds"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.6761629925948525E-2}]
[null,"Mycoprotein","Norway",1.9759015071304419E-2,null,null,null,"Canada","North America",{"$f":"IFERROR(VLOOKUP(H974,$C$40:$C$1479,1,0),VLOOKUP(H974,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Canada"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"CanadaVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":2.9928348649590038E-2}]
[null,"Animal Protein","Panama",3.5994430365334319E-2,null,null,null,"Nepal","South Asia",{"$f":"IFERROR(VLOOKUP(H989,$C$40:$C$1479,1,0),VLOOKUP(H989,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Nepal"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NepalCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":1.5854021538478962E-2}]
[null,"Vegetables","Papua New Guinea",4.2927095183327796E-2,null,null,null,"Bangladesh","South Asia",{"$f":"IFERROR(VLOOKUP(H1000,$C$40:$C$1479,1,0),VLOOKUP(H1000,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Bangladesh"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BangladeshFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.1623481597663693E-2}]
[null,"Cotton","Paraguay",1.5854021538478962E-2,null,null,null,"Pakistan","South Asia",{"$f":"IFERROR(VLOOKUP(H1006,$C$40:$C$1479,1,0),VLOOKUP(H1006,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Pakistan"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"PakistanFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.3526400230918595E-2}]
[null,"Vegetables","Peru",3.5763341538067872E-2,null,null,null,"India","South Asia",{"$f":"IFERROR(VLOOKUP(H1018,$C$40:$C$1479,1,0),VLOOKUP(H1018,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"India"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"IndiaNuts/Seeds"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":9.4867826851606801E-2}]
[null,"Pulses & Grains","Poland",8.4648375691233804E-2,null,null,null,"Bangladesh","South Asia",{"$f":"IFERROR(VLOOKUP(H1032,$C$40:$C$1479,1,0),VLOOKUP(H1032,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Bangladesh"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BangladeshTubers/Root Crops"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.9722885056177705E-2}]
[null,"Nuts/Seeds","Portugal",4.8174074395268378E-2,null,null,null,"Sri Lanka","South Asia",{"$f":"IFERROR(VLOOKUP(H1039,$C$40:$C$1479,1,0),VLOOKUP(H1039,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Sri Lanka"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Sri LankaTubers/Root Crops"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.658913371923233E-2}]
[null,"Fruits","Portugal",3.0239179486947664E-2,null,null,null,"Sri Lanka","South Asia",{"$f":"IFERROR(VLOOKUP(H1047,$C$40:$C$1479,1,0),VLOOKUP(H1047,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Sri Lanka"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Sri LankaVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.0668570896753834E-2}]
[null,"Nuts/Seeds","Saint Kitts and Nevis",7.841700303246979E-2,null,null,null,"Gambia","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1066,$C$40:$C$1479,1,0),VLOOKUP(H1066,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Gambia"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"GambiaAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.1939559446719304E-2}]
[null,"Cotton","Saint Kitts and Nevis",7.841700303246979E-2,null,null,null,"Guinea-Bissau","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1069,$C$40:$C$1479,1,0),VLOOKUP(H1069,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Guinea-Bissau"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Guinea-BissauAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.1939559446719304E-2}]
[null,"Animal Protein","Saint Lucia",5.1939559446719304E-2,null,null,null,"Namibia","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1079,$C$40:$C$1479,1,0),VLOOKUP(H1079,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Namibia"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NamibiaAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":2.8946221133707629E-2}]
[null,"Flour","Samoa",7.841700303246979E-2,null,null,null,"South Sudan","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1089,$C$40:$C$1479,1,0),VLOOKUP(H1089,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"South Sudan"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"South SudanAnimal Protein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.9854351780595186E-2}]
[null,"Cotton","Senegal",8.813794438014165E-2,null,null,null,"Comoros","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1105,$C$40:$C$1479,1,0),VLOOKUP(H1105,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Comoros"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ComorosCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Flour","Seychelles",7.841700303246979E-2,null,null,null,"Guinea","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1116,$C$40:$C$1479,1,0),VLOOKUP(H1116,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Guinea"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"GuineaCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Mycoprotein","Sierra Leone",5.6482571273620399E-2,null,null,null,"Namibia","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1127,$C$40:$C$1479,1,0),VLOOKUP(H1127,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Namibia"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NamibiaCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.534918545662868E-2}]
[null,"Fruits","Slovakia",1.9011982704218038E-2,null,null,null,"South Sudan","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1137,$C$40:$C$1479,1,0),VLOOKUP(H1137,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"South Sudan"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"South SudanCotton"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":8.9799643755812078E-2}]
[null,"Pulses & Grains","Solomon Islands",7.841700303246979E-2,null,null,null,"Cabo Verde","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1149,$C$40:$C$1479,1,0),VLOOKUP(H1149,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Cabo Verde"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Cabo VerdeFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Flour","Solomon Islands",7.841700303246979E-2,null,null,null,"Chad","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1152,$C$40:$C$1479,1,0),VLOOKUP(H1152,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Chad"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ChadFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Tubers/Root Crops","South Africa",0.10475493813684573,null,null,null,"Kenya","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1166,$C$40:$C$1479,1,0),VLOOKUP(H1166,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Kenya"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"KenyaFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":6.3544793620219642E-2}]
[null,"Nuts/Seeds","South Sudan",8.9799643755812078E-2,null,null,null,"Mozambique","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1174,$C$40:$C$1479,1,0),VLOOKUP(H1174,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mozambique"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MozambiqueFlour"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.5295904233822721E-2}]
[null,"Tubers/Root Crops","Sri Lanka",7.658913371923233E-2,null,null,null,"Benin","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1193,$C$40:$C$1479,1,0),VLOOKUP(H1193,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Benin"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BeninFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.8165191409996241E-2}]
[null,"Fruits","Sri Lanka",4.4830739571623444E-2,null,null,null,"Chad","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1200,$C$40:$C$1479,1,0),VLOOKUP(H1200,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Chad"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ChadFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":1.9578607424047018E-2}]
[null,"Flour","Sudan",7.700455856314993E-2,null,null,null,"Eritrea","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1206,$C$40:$C$1479,1,0),VLOOKUP(H1206,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Eritrea"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"EritreaFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":6.1742913288563878E-2}]
[null,"Vegetables","Sweden",1.2365597777339912E-2,null,null,null,"Liberia","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1216,$C$40:$C$1479,1,0),VLOOKUP(H1216,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Liberia"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"LiberiaFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.5438471323545215E-2}]
[null,"Animal Protein","Tajikistan",2.3169000452046402E-2,null,null,null,"South Africa","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1232,$C$40:$C$1479,1,0),VLOOKUP(H1232,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"South Africa"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"South AfricaFruits"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.9896083327642277E-2}]
[null,"Vegetables","Thailand",3.4434580781285792E-2,null,null,null,"Burkina Faso","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1243,$C$40:$C$1479,1,0),VLOOKUP(H1243,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Burkina Faso"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Burkina FasoMycoprotein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Tubers/Root Crops","Timor-Leste",7.841700303246979E-2,null,null,null,"Central African Republic","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1247,$C$40:$C$1479,1,0),VLOOKUP(H1247,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Central African Republic"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Central African RepublicMycoprotein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.1473995669780784E-2}]
[null,"Nuts/Seeds","Tonga",7.841700303246979E-2,null,null,null,"Liberia","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1264,$C$40:$C$1479,1,0),VLOOKUP(H1264,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Liberia"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"LiberiaMycoprotein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.2102545404922239E-2}]
[null,"Cotton","Trinidad and Tobago",6.2298519088466842E-2,null,null,null,"Senegal","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1276,$C$40:$C$1479,1,0),VLOOKUP(H1276,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Senegal"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"SenegalMycoprotein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":8.813794438014165E-2}]
[null,"Vegetables","Trinidad and Tobago",4.0731751324296531E-2,null,null,null,"Somalia","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1279,$C$40:$C$1479,1,0),VLOOKUP(H1279,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Somalia"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"SomaliaMycoprotein"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Pulses & Grains","Tuvalu",7.841700303246979E-2,null,null,null,"Cabo Verde","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1293,$C$40:$C$1479,1,0),VLOOKUP(H1293,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Cabo Verde"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Cabo VerdeNuts/Seeds"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Flour","Uganda",2.4555533415645099E-2,null,null,null,"Gabon","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1305,$C$40:$C$1479,1,0),VLOOKUP(H1305,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Gabon"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"GabonNuts/Seeds"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":9.4452402007689201E-2}]
[null,"Flour","Ukraine",5.2806142548968489E-2,null,null,null,"Malawi","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1314,$C$40:$C$1479,1,0),VLOOKUP(H1314,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Malawi"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MalawiNuts/Seeds"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.6482571273620399E-2}]
[null,"Animal Protein","United Republic of Tanzania",3.9114129533431387E-2,null,null,null,"Togo","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1331,$C$40:$C$1479,1,0),VLOOKUP(H1331,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Togo"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TogoNuts/Seeds"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":8.7224009723522927E-2}]
[null,"Tubers/Root Crops","United States of America",5.0417368552423417E-2,null,null,null,"Benin","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1337,$C$40:$C$1479,1,0),VLOOKUP(H1337,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Benin"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BeninPulses & Grains"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.7752323282201607E-2}]
[null,"Pulses & Grains","Uruguay",3.0310806106811496E-2,null,null,null,"Cote d'Ivoire","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1347,$C$40:$C$1479,1,0),VLOOKUP(H1347,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Cote d'Ivoire"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Cote d'IvoirePulses & Grains"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.4571616991599445E-2}]
[null,"Nuts/Seeds","Vanuatu",7.841700303246979E-2,null,null,null,"Mali","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1363,$C$40:$C$1479,1,0),VLOOKUP(H1363,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mali"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MaliPulses & Grains"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":0.10525344794954686}]
[null,"Tubers/Root Crops","Vanuatu",7.841700303246979E-2,null,null,null,"Mauritania","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1364,$C$40:$C$1479,1,0),VLOOKUP(H1364,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mauritania"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MauritaniaPulses & Grains"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.841700303246979E-2}]
[null,"Vegetables","Venezuela (Bolivarian Republic of)",4.9513126760421591E-2,null,null,null,"Sudan","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1378,$C$40:$C$1479,1,0),VLOOKUP(H1378,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Sudan"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"SudanPulses & Grains"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.700455856314993E-2}]
[null,"Flour","Yemen",5.5059258614816364E-2,null,null,null,"Cote d'Ivoire","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1395,$C$40:$C$1479,1,0),VLOOKUP(H1395,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Cote d'Ivoire"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Cote d'IvoireTubers/Root Crops"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.4571616991599445E-2}]
[null,"Mycoprotein","Yemen",8.2903591346779881E-2,null,null,null,"Equatorial Guinea","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1397,$C$40:$C$1479,1,0),VLOOKUP(H1397,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Equatorial Guinea"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Equatorial GuineaTubers/Root Crops"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":6.8363721809663811E-2}]
[null,"Pulses & Grains","Zimbabwe",0.14671284737252349,null,null,null,"Malawi","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1410,$C$40:$C$1479,1,0),VLOOKUP(H1410,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Malawi"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MalawiTubers/Root Crops"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.6482571273620399E-2}]
[null,"Mycoprotein","Algeria",2.3240594678109867E-2,null,null,null,"South Africa","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1424,$C$40:$C$1479,1,0),VLOOKUP(H1424,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"South Africa"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"South AfricaTubers/Root Crops"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":0.10475493813684573}]
[null,"Vegetables","Tunisia",2.257129391626575E-3,null,null,null,"Angola","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1432,$C$40:$C$1479,1,0),VLOOKUP(H1432,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Angola"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"AngolaVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":9.3708864975129966E-2}]
[null,"Mycoprotein","Georgia",9.2857461893647297E-3,null,null,null,"Congo","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1442,$C$40:$C$1479,1,0),VLOOKUP(H1442,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Congo"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"CongoVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.6508972005957758E-2}]
[null,"Flour","Armenia",1.3695097299363884E-2,null,null,null,"Gabon","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1449,$C$40:$C$1479,1,0),VLOOKUP(H1449,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Gabon"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"GabonVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":6.3089595362325473E-2}]
[null,"Vegetables","Armenia",1.3513705282153766E-3,null,null,null,"Gambia","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1450,$C$40:$C$1479,1,0),VLOOKUP(H1450,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Gambia"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"GambiaVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.1939559446719304E-2}]
[null,"Mycoprotein","Armenia",1.1689023308704199E-2,null,null,null,"Ghana","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1451,$C$40:$C$1479,1,0),VLOOKUP(H1451,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Ghana"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"GhanaVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.7034330088033342E-2}]
[null,"Fruits","Armenia",2.0852535012024134E-2,null,null,null,"Guinea","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1452,$C$40:$C$1479,1,0),VLOOKUP(H1452,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Guinea"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"GuineaVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.1939559446719304E-2}]
[null,"Nuts/Seeds","Azerbaijan",5.4994918943317969E-2,null,null,null,"Guinea-Bissau","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1453,$C$40:$C$1479,1,0),VLOOKUP(H1453,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Guinea-Bissau"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Guinea-BissauVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.1939559446719304E-2}]
[null,"Tubers/Root Crops","Azerbaijan",4.6750287041430263E-2,null,null,null,"Kenya","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1454,$C$40:$C$1479,1,0),VLOOKUP(H1454,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Kenya"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"KenyaVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.1598334426545709E-2}]
[null,"Pulses & Grains","Azerbaijan",3.5966393509966325E-2,null,null,null,"Lesotho","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1455,$C$40:$C$1479,1,0),VLOOKUP(H1455,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Lesotho"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"LesothoVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":8.4370877138102776E-3}]
[null,"Cotton","Azerbaijan",3.2247165064972695E-2,null,null,null,"Liberia","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1456,$C$40:$C$1479,1,0),VLOOKUP(H1456,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Liberia"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"LiberiaVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.754887172865678E-2}]
[null,"Animal Protein","Azerbaijan",3.1559037958940502E-2,null,null,null,"Madagascar","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1457,$C$40:$C$1479,1,0),VLOOKUP(H1457,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Madagascar"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MadagascarVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.904554088516261E-2}]
[null,"Flour","Azerbaijan",2.6720843814010405E-2,null,null,null,"Malawi","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1458,$C$40:$C$1479,1,0),VLOOKUP(H1458,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Malawi"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MalawiVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.6687696847133668E-2}]
[null,"Vegetables","Azerbaijan",2.6369918144117412E-3,null,null,null,"Mali","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1459,$C$40:$C$1479,1,0),VLOOKUP(H1459,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mali"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MaliVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.0599982248485071E-2}]
[null,"Mycoprotein","Azerbaijan",2.2811541776652119E-2,null,null,null,"Mauritania","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1460,$C$40:$C$1479,1,0),VLOOKUP(H1460,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mauritania"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MauritaniaVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.1939559446719304E-2}]
[null,"Fruits","Azerbaijan",4.0655384360865063E-2,null,null,null,"Mauritius","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1461,$C$40:$C$1479,1,0),VLOOKUP(H1461,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mauritius"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MauritiusVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.8877632485438853E-2}]
[null,"Nuts/Seeds","Turkmenistan",7.6803036066532576E-2,null,null,null,"Mozambique","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1462,$C$40:$C$1479,1,0),VLOOKUP(H1462,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mozambique"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MozambiqueVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":2.1955784108897546E-2}]
[null,"Tubers/Root Crops","Turkmenistan",6.6581665467343482E-2,null,null,null,"Namibia","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1463,$C$40:$C$1479,1,0),VLOOKUP(H1463,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Namibia"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NamibiaVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":2.8946221133707629E-2}]
[null,"Pulses & Grains","Turkmenistan",5.2585049943380494E-2,null,null,null,"Niger","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1464,$C$40:$C$1479,1,0),VLOOKUP(H1464,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Niger"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NigerVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.3037231376234936E-2}]
[null,"Cotton","Turkmenistan",4.7583602578946324E-2,null,null,null,"Nigeria","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1465,$C$40:$C$1479,1,0),VLOOKUP(H1465,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Nigeria"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NigeriaVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.8825268499348323E-2}]
[null,"Animal Protein","Turkmenistan",5.367849800305656E-2,null,null,null,"Rwanda","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1466,$C$40:$C$1479,1,0),VLOOKUP(H1466,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Rwanda"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"RwandaVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":4.9570898967238201E-2}]
[null,"Flour","Turkmenistan",3.9978723238204013E-2,null,null,null,"Sao Tome and Principe","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1467,$C$40:$C$1479,1,0),VLOOKUP(H1467,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Sao Tome and Principe"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Sao Tome and PrincipeVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.1939559446719304E-2}]
[null,"Vegetables","Turkmenistan",3.9664710943236722E-3,null,null,null,"Senegal","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1468,$C$40:$C$1479,1,0),VLOOKUP(H1468,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Senegal"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"SenegalVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.8698907644262936E-2}]
[null,"Mycoprotein","Turkmenistan",3.4469722884363736E-2,null,null,null,"Seychelles","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1469,$C$40:$C$1479,1,0),VLOOKUP(H1469,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Seychelles"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"SeychellesVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.1939559446719304E-2}]
[null,"Fruits","Turkmenistan",5.8761377987911409E-2,null,null,null,"Sierra Leone","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1470,$C$40:$C$1479,1,0),VLOOKUP(H1470,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Sierra Leone"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Sierra LeoneVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.6687696847133668E-2}]
[null,"Nuts/Seeds","Moldova",4.8557772027651297E-2,null,null,null,"Somalia","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1471,$C$40:$C$1479,1,0),VLOOKUP(H1471,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Somalia"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"SomaliaVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.1939559446719304E-2}]
[null,"Tubers/Root Crops","Moldova",4.1973043851174341E-2,null,null,null,"South Africa","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1472,$C$40:$C$1479,1,0),VLOOKUP(H1472,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"South Africa"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"South AfricaVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":7.0253349007585397E-2}]
[null,"Pulses & Grains","Moldova",3.30181274633791E-2,null,null,null,"South Sudan","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1473,$C$40:$C$1479,1,0),VLOOKUP(H1473,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"South Sudan"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"South SudanVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.9854351780595186E-2}]
[null,"Cotton","Moldova",2.9835443125228935E-2,null,null,null,"Sudan","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1474,$C$40:$C$1479,1,0),VLOOKUP(H1474,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Sudan"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"SudanVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.0957431930836891E-2}]
[null,"Animal Protein","Moldova",3.0938758880445779E-2,null,null,null,"Togo","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1475,$C$40:$C$1479,1,0),VLOOKUP(H1475,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Togo"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TogoVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":5.8063413369280198E-2}]
[null,"Flour","Moldova",2.5013281211535045E-2,null,null,null,"Uganda","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1476,$C$40:$C$1479,1,0),VLOOKUP(H1476,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Uganda"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"UgandaVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":2.4555533415645099E-2}]
[null,"Vegetables","Moldova",2.4796105390060027E-3,null,null,null,"United Republic of Tanzania","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1477,$C$40:$C$1479,1,0),VLOOKUP(H1477,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"United Republic of Tanzania"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"United Republic of TanzaniaVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.9114129533431387E-2}]
[null,"Mycoprotein","Moldova",2.1533003452604015E-2,null,null,null,"Zambia","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1478,$C$40:$C$1479,1,0),VLOOKUP(H1478,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Zambia"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ZambiaVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":3.2470325749520974E-2}]
[null,"Fruits","Moldova",3.6960919201834648E-2,null,null,null,"Zimbabwe","Sub-Saharan Africa",{"$f":"IFERROR(VLOOKUP(H1479,$C$40:$C$1479,1,0),VLOOKUP(H1479,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Zimbabwe"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ZimbabweVegetables"},{"$f":"INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(retailUserDefinedStoreType<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(retailUserDefinedStoreType,RetailDefaultData[Store Type],0)),1)","v":9.9428313449974576E-2}]

{"sheet":"FertilizerManufacturing","index":45,"n_rows":45,"n_cols":27,"rows_kept":45,"cut":false,"hidden":true,"merged":[[4,3,4,5],[24,4,24,13],[24,17,24,26]]}
[null,"Fertiliser manufacturing emissions"]
[null,"Cradle-to-gate factors, estimated by Brentrup et al using the Fertilizers Europe online carbon calculator"]
[null,"Source: Brentrup F., Lammel J., Stephani T., Christensen B. 2018. Updated carbon footprint values for mineral fertilizer from different world regions. LCA Food 2018 and LCA AgriFood Asia 2018"]
[]
[null,null,null,"Manufacturing emissions"]
[null,"Brentrup's regions","IFC Region","kg CO2e kg N-1","kg CO2e kg P-1","kg CO2e kg K-1"]
[null,"Europe","Western Europe",{"$f":"AVERAGE(E27,E28,E29,E30,E31,E32,E33,E34,E35,E40,E41)","v":3.2992860567571425},{"$f":"AVERAGE(E$36:E$39)","v":1.4398148148148149},{"$f":"AVERAGE(E$43:E$44)","v":0.32833333333333337}]
[null,"CIS","Russia",{"$f":"AVERAGE(F27,F28,F29,F30,F31,F32,F33,F34,F35,F40,F41)","v":6.0942139352752287},{"$f":"AVERAGE(F$36:F$39)","v":1.7013888888888891},{"$f":"AVERAGE(F$43:F$44)","v":0.32833333333333337}]
[null,null,"Europe and Central Asia",{"$f":"AVERAGE(D8,D7)","v":4.6967499960161856},{"$f":"AVERAGE(E8,E7)","v":1.5706018518518521},{"$f":"AVERAGE(F8,F7)","v":0.32833333333333337}]
[null,"Africa","Africa",{"$f":"AVERAGE(G27,G28,G29,G30,G31,G33,G32,G34,G35,G40,G41)","v":5.3346185028748838},{"$f":"AVERAGE(G$36:G$39)","v":1.6342592592592593},{"$f":"AVERAGE(G$43:G$44)","v":0.32833333333333337}]
[null,"Middle East","Middle East and North Africa",{"$f":"AVERAGE(H27,H28,H29,H30,H31,H32,H33,H34,H35,H40,H41)","v":5.9668485648053311},{"$f":"AVERAGE(H$36:H$39)","v":1.6296296296296298},{"$f":"AVERAGE(H$43:H$44)","v":0.32833333333333337}]
[null,"North America","North America",{"$f":"AVERAGE(I27,I28,I29,I30,I31,I32,I33,I34,I35,I40,I41)","v":5.7188242677689027},{"$f":"AVERAGE(I$36:I$39)","v":1.5138888888888891},{"$f":"AVERAGE(I$43:I$44)","v":0.32833333333333337}]
[null,"Latin America","Latin America and Caribbean",{"$f":"AVERAGE(J27,J28,J29,J30,J31,J32,J33,J34,J35,J40,J41)","v":5.529457003947396},{"$f":"AVERAGE(J$36:J$39)","v":1.6643518518518519},{"$f":"AVERAGE(J$43:J$44)","v":0.32833333333333337}]
[null,"China",null,{"$f":"AVERAGE(K27,K28,K29,K30,K31,K32,K33,K34,K35,K40,K41)","v":8.9685293520566063},{"$f":"AVERAGE(K$36:K$39)","v":2.5578703703703702},{"$f":"AVERAGE(K$43:K$44)","v":0.32833333333333337}]
[null,"South Asia","South Asia",{"$f":"AVERAGE(L27,L28,L29,L30,L31,L32,L33,L34,L35,L40,L41)","v":6.0772748918127952},{"$f":"AVERAGE(L$36:L$39)","v":2.0833333333333335},{"$f":"AVERAGE(L$43:L$44)","v":0.32833333333333337}]
[null,null,"East Asia and Pacific",{"$f":"AVERAGE(D14,D17)","v":7.4674053971248515},{"$f":"AVERAGE(E14,E17)","v":2.1527777777777777},{"$f":"AVERAGE(F14,F17)","v":0.32833333333333337}]
[null,"Southeast Asia",null,{"$f":"AVERAGE(M27,M28,M29,M30,M31,M32,M33,M34,M35,M40,M41)","v":5.9662814421930959},{"$f":"AVERAGE(M$36:M$39)","v":1.7476851851851853},{"$f":"AVERAGE(M$43:M$44)","v":0.32833333333333337}]
[null,"Oceania","Oceania",{"$f":"AVERAGE(N27,N28,N29,N30,N31,N32,N33,N34,N35,N40,N41)","v":5.234472370615638},{"$f":"AVERAGE(N$36:N$39)","v":1.5995370370370372},{"$f":"AVERAGE(N$43:N$44)","v":0.32833333333333337}]
[]
[]
[]
[null,"Sources"]
[]
[null,"Brentrup et al. - Adjusted emission factors",null,null,null,null,null,null,null,null,null,null,null,null,null,"Brentrup et al. - Original figures"]
[null,null,null,null,"Emission factor (kg CO2e kg-1 N)",null,null,null,null,null,null,null,null,null,null,null,null,"Emission factor (kg CO2e kg-1 product)"]
[null,"Fertiliser product","Nutrient","Content","Europe","CIS","Africa","Middle East","North America","Latin America","China","South Asia","Southeast Asia","Oceania",null,"Fertiliser product","Nutrient content","Europe","CIS","Africa","Middle East","North America","Latin America","China","South Asia","Southeast Asia","Oceania"]
[null,"Ammonium nitrate (gran)","N",0.33500000000000002,{"$f":"R27/$D27","v":3.4029850746268653},{"$f":"S27/$D27","v":7.2238805970149249},6.2686567164179108,7.2835820895522385,6.8059701492537306,6.4776119402985071,10.44776119402985,6.9253731343283569,7.1343283582089549,6.2388059701492526,null,"Ammonium nitrate (gran)","33.5N",1.1399999999999999,2.42,2.1,2.44,2.2799999999999998,2.17,3.5,2.3199999999999998,2.39,2.09]
[null,"Ammonium nitrate (prill)","N",0.33500000000000002,3.3134328358208958,7.1044776119402977,6.1492537313432836,7.1641791044776113,6.7164179104477606,6.3582089552238799,10.26865671641791,6.7761194029850742,6.9850746268656705,6.1194029850746263,null,"Ammonium nitrate (prill)","33.5N",1.1100000000000001,2.38,2.06,2.4,2.25,2.13,3.44,2.27,2.34,2.0499999999999998]
[null,"Ammonium sulphate","N",0.21,2.666666666666667,3.2380952380952386,2.9523809523809526,2.8095238095238093,2.9047619047619047,3.1428571428571432,5.3333333333333339,3.8571428571428577,3.0952380952380953,2.666666666666667,null,"Ammonium sulphate","21N, 24S",0.56000000000000005,0.68,0.62,0.59,0.61,0.66,1.1200000000000001,0.81,0.65,0.56000000000000005]
[null,"Ammonium sulphate nitrate","N",0.26,3.0769230769230771,5.3461538461538458,4.6923076923076916,5.1153846153846159,4.9615384615384617,4.8846153846153841,8,5.4615384615384608,5.1923076923076925,4.5384615384615383,null,"Ammonium sulphate nitrate","26N, 14S",0.8,1.39,1.22,1.33,1.29,1.27,2.08,1.42,1.35,1.18]
[null,"Anhydrous ammonia","N",0.82,2.8048780487804876,3.25609756097561,2.9024390243902438,2.6707317073170733,3.036585365853659,3.1219512195121952,5.1219512195121952,3.5609756097560976,2.9024390243902438,2.5,null,"Anhydrous ammonia","82N",2.2999999999999998,2.67,2.38,2.19,2.4900000000000002,2.56,4.2,2.92,2.38,2.0499999999999998]
[null,"Calcium ammonium nitrate","N",0.27,3.5185185185185182,7.333333333333333,6.3703703703703702,7.4074074074074066,6.9259259259259256,6.5925925925925926,10.592592592592592,7.0370370370370363,7.2592592592592586,6.3703703703703702,null,"Calcium ammonium nitrate","27N",0.95,1.98,1.72,2,1.87,1.78,2.86,1.9,1.96,1.72]
[null,"Calcium nitrate","N",0.155,4.129032258064516,10.709677419354838,9.2903225806451601,11.290322580645162,10.193548387096774,9.4838709677419359,15.096774193548386,9.870967741935484,10.838709677419354,9.5483870967741939,null,"Calcium nitrate","15.5N",0.64,1.66,1.44,1.75,1.58,1.47,2.34,1.53,1.68,1.48]
[null,"NPK (mixed-acid)","N, P, K",0.15,4.1333333333333337,7.5333333333333332,6.666666666666667,7.5333333333333332,7.0666666666666673,6.8666666666666671,10.733333333333334,7.5333333333333332,7.5333333333333332,6.7333333333333334,null,"NPK (mixed-acid)","15N, 15P2O5, 15K2O",0.62,1.1299999999999999,1,1.1299999999999999,1.06,1.03,1.61,1.1299999999999999,1.1299999999999999,1.01]
[null,"NPK (nitrophosphate)","N, P, K",0.15,4.7333333333333334,8.1333333333333329,7.2666666666666675,8.1333333333333329,7.6666666666666661,7.4000000000000012,11.4,8.2666666666666675,8.1333333333333329,7.3333333333333339,null,"NPK (nitrophosphate)","15N, 15P2O5, 15K2O",0.71,1.22,1.0900000000000001,1.22,1.1499999999999999,1.1100000000000001,1.71,1.24,1.22,1.1000000000000001]
[null,"Diammonium phosphate","N, P",0.18,3.5,4.166666666666667,3.8888888888888888,3.7777777777777781,3.7222222222222228,4.0555555555555554,6.3888888888888884,4.9444444444444446,4.1111111111111116,3.666666666666667,null,"Diammonium phosphate","18N, 46P2O5",0.63,0.75,0.7,0.68,0.67,0.73,1.1499999999999999,0.89,0.74,0.66]
[null,"Monoammonium phosphate","N, P","11N, 52P2O5",null,null,null,null,null,null,null,null,null,null,null,"Monoammonium phosphate","11N, 52P2O5",0.44,0.53,0.51,0.51,0.46,0.52,0.81,0.66,0.55000000000000004,0.51]
[null,"Super phosphate","P",0.18,{"$f":"R38/$D38","v":0.44444444444444448},0.5,0.55555555555555558,0.61111111111111116,0.44444444444444448,0.5,0.72222222222222232,0.72222222222222232,0.61111111111111116,0.61111111111111116,null,"Super phosphate","18P2O5, 12S",0.08,0.09,0.1,0.11,0.08,0.09,0.13,0.13,0.11,0.11]
[null,"Triple super phosphate","P",0.48,{"$f":"R39/$D39","v":0.375},0.4375,0.45833333333333337,0.5,0.375,0.4375,0.56250000000000011,0.58333333333333337,0.52083333333333337,0.52083333333333337,null,"Triple super phosphate","48P2O5",0.18,0.21,0.22,0.24,0.18,0.21,0.27,0.28000000000000003,0.25,0.25]
[null,"Urea","N",0.46,{"$f":"R40/$D40","v":1.9130434782608694},2.3913043478260869,2.0217391304347827,1.7608695652173914,2.1956521739130435,2.1956521739130435,4.3260869565217392,2.7608695652173911,2.0217391304347827,1.6304347826086956,null,"Urea","46N",0.88,1.1000000000000001,0.93,0.81,1.01,1.01,1.99,1.27,0.93,0.75]
[null,"Urea ammonium nitrate (liq)","N",0.3,{"$f":"R41/$D41","v":2.6},4.7666666666666666,4.1000000000000005,4.4666666666666668,4.4333333333333336,4.3000000000000007,7.3333333333333339,4.8,4.5333333333333341,3.9,null,"Urea ammonium nitrate (liq)","30N",0.78,1.43,1.23,1.34,1.33,1.29,2.2000000000000002,1.44,1.36,1.17]
[null,"Limestone",null,"55CaCO3",null,null,null,null,null,null,null,null,null,null,null,"Limestone","55CaCO3",7.0000000000000007E-2,7.0000000000000007E-2,7.0000000000000007E-2,7.0000000000000007E-2,7.0000000000000007E-2,7.0000000000000007E-2,7.0000000000000007E-2,7.0000000000000007E-2,7.0000000000000007E-2,7.0000000000000007E-2]
[null,"Potassium chloride","K",0.6,{"$f":"R43/$D43","v":0.41666666666666669},0.41666666666666669,0.41666666666666669,0.41666666666666669,0.41666666666666669,0.41666666666666669,0.41666666666666669,0.41666666666666669,0.41666666666666669,0.41666666666666669,null,"Potassium chloride","60K2O",0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25]
[null,"Potassium sulphate","K",0.5,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,null,"Potassium sulphate","50K2O, 18S",0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Source: Brentrup F., Lammel J., Stephani T., Christensen B. 2018. Updated carbon footprint values for mineral fertilizer from different world regions. LCA Food 2018 and LCA AgriFood Asia 2018"]

{"sheet":"Extraction Rates","index":46,"n_rows":86,"n_cols":5,"rows_kept":86,"cut":false,"hidden":true,"merged":[]}
["Extraction Rates"]
[]
["Extraction rates based on mass for aquaculture, dairy and oil commodities. All other commodities have an extraction rate of 100%."]
["Extraction % applied in the following way: Raw commodity mass * Extraction rate % = «Converted to» mass"]
[]
["IFC Commodity","Raw commodity","Convert to what","Extraction rate%","Reference"]
["Tuna","Live weight","Edible meat",0.47,"4brwfb5e9n_MOBERG_GHG_Brief_TUNA_07_22_v4.pdf"]
["Salmon","Live weight","Edible meat",{"$f":"AVERAGE(50%,65%)","v":0.57499999999999996},"https://www.fao.org/fi/static-media/MeetingDocuments/cwp/ReferenceHarmonization/2018/S6_1.pdf,\nuFish (farmed or wild fillet)"]
["Shrimp","Live weight","Edible meat",{"$f":"AVERAGE(36%,57%)","v":0.46499999999999997},"uFish (lots of different types!)"]
["Tilapia","Live weight","Edible meat - \"dressed with head\"",0.81,"uFish (30% if fillet)"]
["Catfish","Live weight","Edible meat - \"whole, cooked\"",0.83,"uFish (40% if fillet)"]
["Cotton seed oil","Cotton seed","Oil",0.17899999999999999,"FOOD BALANCE SHEETS - A Handbook"]
["Sunflower oil","Sunflower seeds","Oil",0.26800000000000002,"FOOD BALANCE SHEETS - A Handbook (assume after de-hulling)"]
["Olive oil","Olives","Oil",0.17499999999999999,"FOOD BALANCE SHEETS - A Handbook (not sure if after pitting)"]
["Palm oil","Palm fruits","Oil",0.13200000000000001,"FOOD BALANCE SHEETS - A Handbook (fruit, not kernel - which is 43.4)"]
["Yoghurt","Milk","Yoghurt",0.8,"tcf.pdf FAO, p. 778"]
["Cheese","Milk","Cheese",{"$f":"AVERAGE(10%,20%)","v":0.15000000000000002},"tcf.pdf FAO, p. 778"]
["Butter","Milk","Butter",4.7E-2,"tcf.pdf FAO, p. 778"]
["Almonds",null,null,1]
["Apples",null,null,1]
["Asparagus",null,null,1]
["Avocados",null,null,1]
["Bananas",null,null,1]
["Barley",null,null,1]
["Beans",null,null,1]
["Blueberries",null,null,1]
["Broccoli",null,null,1]
["Buckwheat",null,null,1]
["Carrots",null,null,1]
["Cashew nuts",null,null,1]
["Cassava",null,null,1]
["Cherries",null,null,1]
["Chickpeas",null,null,1]
["Cocoa",null,null,1]
["Coconuts",null,null,1]
["Coffee",null,null,1]
["Cotton",null,null,1]
["Cucumbers",null,null,1]
["Eggs",null,null,1]
["Flour",null,null,1]
["Garlic (green)",null,null,1]
["Ginger",null,null,1]
["Grapes",null,null,1]
["Hazelnuts",null,null,1]
["Lemons",null,null,1]
["Lentils",null,null,1]
["Lettuce",null,null,1]
["Litchi",null,null,1]
["Maize",null,null,1]
["Mandarins",null,null,1]
["Mangoes",null,null,1]
["Meat (cattle)",null,null,1]
["Meat (chicken)",null,null,1]
["Meat (pig)",null,null,1]
["Milk (cattle)",null,null,1]
["Millet",null,null,1]
["Mushrooms",null,null,1]
["Oats",null,null,1]
["Onions (fresh)",null,null,1]
["Onions, dry",null,null,1]
["Oranges",null,null,1]
["Peanuts",null,null,1]
["Pears",null,null,1]
["Peas (dry)",null,null,1]
["Peppers",null,null,1]
["Pineapples",null,null,1]
["Pistachios",null,null,1]
["Potatoes",null,null,1]
["Quinoa",null,null,1]
["Rapeseeds",null,null,1]
["Raspberries",null,null,1]
["Rice",null,null,1]
["Rye",null,null,1]
["Sesame seed",null,null,1]
["Sorghum",null,null,1]
["Soybeans",null,null,1]
["Spinach",null,null,1]
["Strawberries",null,null,1]
["Sugar cane",null,null,1]
["Sunflower seeds",null,null,1]
["Sweet peppers",null,null,1]
["Sweet potatoes",null,null,1]
["Tomatoes",null,null,1]
["Walnuts",null,null,1]
["Watermelons",null,null,1]
["Wheat",null,null,1]

{"sheet":"GLEAM_GRL","index":47,"n_rows":590,"n_cols":23,"rows_kept":281,"cut":true,"hidden":true,"merged":[],"bounds":{"rows_first":125,"rows_last":31,"rows_between":125,"halvings":4}}
["FAO. 2017. Global Livestock Environmental Assessment Model (GLEAM) [online]. Rome. www.fao.org/gleam/en/",null,null,null,null,"Emission intensity","Production","Total GHG emissions","Total CO2 emissions","Total CH4 emissions","Total N2O emissions","Feed, CO2","Feed, CH4","Feed: fertilizer & crop residues, N2O","Feed: applied & deposited manure, N2O","LUC: soy & palm, CO2","LUC: pasture expansion, CO2","Enteric fermentation, CH4","Manure management, CH4","Manure management, N2O","Direct energy, CO2","Indirect energy, CO2","Postfarm, CO2"]
["Region","Animal species","Production system","Commodity",null," kg CO2-eq · kg protein-1","kg protein","kg CO2-eq","kg CO2-eq","kg CO2-eq","kg CO2-eq","kg CO2-eq","kg CO2-eq","kg CO2-eq","kg CO2-eq","kg CO2-eq","kg CO2-eq","kg CO2-eq","kg CO2-eq","kg CO2-eq","kg CO2-eq","kg CO2-eq","kg CO2-eq"]
["Global","Cattle","Aggregated","Aggregated",{"$f":"CONCATENATE(A3,B3,C3,D3)","v":"GlobalCattleAggregatedAggregated"},{"$f":"IFERROR(H3/G3,0)","v":160.29260775724919},{"$f":"SUM(G56,G109,G162,G215,G268,G321,G374,G427,G480,G533)","v":29163104087.776592},{"$f":"SUM(I3:K3)","v":4674630004525.8037},{"$f":"SUM(L3,P3,Q3,U3,V3,W3)","v":944929928440.17566},{"$f":"SUM(M3,R3,S3)","v":2648727469345.7817},{"$f":"SUM(N3,O3,T3)","v":1080972606739.8462},{"$f":"SUM(L56,L109,L162,L215,L268,L321,L374,L427,L480,L533)","v":353472898876.96332},0,174073200018.73413,741986436762.08044,46879544227.853371,387006214285.71399,2509275304012.4727,139452165333.3089,164912969959.03168,42155419009.350975,15856531895.59152,99559320144.702377]
["Global","Cattle","Aggregated","Milk","GlobalCattleAggregatedMilk",{"$f":"IFERROR(H4/G4,0)","v":86.728932019720716},18880885304,{"$f":"SUM(I4:K4)","v":1637519018002.76},{"$f":"SUM(L4,P4,Q4,U4,V4,W4)","v":275691406265.27698},{"$f":"SUM(M4,R4,S4)","v":967644226877.79443},{"$f":"SUM(N4,O4,T4)","v":394183384859.68878},138234019318.28192,0,71662075640.695175,254388527100.44049,14974206675.160587,0,885635162795.56995,82009064082.224518,68132782118.553108,29934851370.699997,3252888569.3344593,89295440331.800003]
["Global","Cattle","Aggregated","Meat","GlobalCattleAggregatedMeat",295.37505964325845,10282218783.77659,3037110986523.043,669238522174.89856,1681083242467.9868,686789221880.15747,215238879558.68143,0,102411124378.03891,487597909661.63989,31905337552.69278,387006214285.71399,1623640141216.9023,57443101251.084389,96780187840.478577,12220567638.650974,12603643326.257057,10263879812.902361]
["Global","Cattle","Grassland systems","Aggregated","GlobalCattleGrassland systemsAggregated",206.32793947189214,10338174726.34346,2133054289186.8384,562806229576.7002,1052965148816.8483,517282910793.29004,111398227143.19476,0,52536600648.292999,426761235035.34814,8194329546.5075951,387006214285.71399,996909632562.86938,56055516253.978867,37985075109.648918,14173264181.28368,4303271766.468997,37730922653.531105]
["Global","Cattle","Grassland systems","Milk","GlobalCattleGrassland systemsMilk",94.988797808270334,6940654475.500001,659284424630.33618,92861399862.256485,371346057784.12946,195076966983.95026,44040030065.868164,0,21561262083.536201,158783824942.44556,2412100065.6478519,0,336901779434.28003,34444278349.849426,14731879957.968494,10786045291.1,999843540.84046912,34623380898.800003]
["Global","Cattle","Grassland systems","Meat","GlobalCattleGrassland systemsMeat",433.77809571278578,3397520250.8434596,1473769864556.5022,469944829714.4436,681619091032.71875,322205943809.3399,67358197077.326584,0,30975338564.756802,267977410092.90268,5782229480.859745,387006214285.71399,660007853128.58936,21611237904.12944,23253195151.680428,3387218890.1836801,3303428225.6285276,3107541754.7311001]
["Global","Cattle","Mixed systems","Aggregated","GlobalCattleMixed systemsAggregated",138.68166164659075,17306165402.55344,2400047774756.8511,352970480430.71985,1522347154124.4185,524730140201.71289,223528141821.15271,0,110883861998.45255,296910555628.16925,36610357090.425476,0,1443988485138.365,78358668986.053589,116935722575.09103,24819555694.770218,9048642222.1672649,58963783602.204208]
["Global","Cattle","Mixed systems","Milk","GlobalCattleMixed systemsMilk",81.927611569910951,11940230828.5,978234593372.42407,182830006403.02045,596298169093.66504,199106417875.73859,94193989252.413727,0,50100813557.158981,95604702157.99498,12562106609.512737,0,548733383361.28998,47564785732.375084,53400902160.584618,19148806079.599998,2253045028.4939899,54672059433]
["Global","Cattle","Mixed systems","Meat","GlobalCattleMixed systemsMeat",264.97027903759658,5365934574.0534401,1421813181384.427,170140474027.69946,926048985030.75342,325623722325.97418,129334152568.73898,0,60783048441.293571,201305853470.17419,24048250480.912739,0,895255101777.07495,30793883253.678497,63534820414.506416,5670749615.1702204,6795597193.673275,4291724169.2042098]
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["Western Europe","Goats","Aggregated","Aggregated","Western EuropeGoatsAggregatedAggregated",63.965060574081562,{"$f":"SUM(G563:G564)","v":68396924.690998003},4375013430.9405823,870109217.17831767,2763705624.0239439,741198589.73832035,{"$f":"SUM(L563:L564)","v":410558714.39187783},{"$f":"SUM(M563:M564)","v":0},228705541.37585759,441180570.42809194,122382299.02663723,0,2672228445.2803698,91477178.743574008,71312477.934370697,15410255.08652534,198332250.46601719,{"$f":"SUM(W563:W564)","v":123425698.20726}]
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["Western Europe","Goats","Aggregated","Meat","Western EuropeGoatsAggregatedMeat",73.168490040193277,{"$f":"SUM(G567,G570)","v":17794256.820998002},1301978902.9798336,226080515.21141842,824498344.2839849,251400043.48443028,{"$f":"SUM(L567,L570)","v":117864920.47955388},0,68433918.805653602,165598143.35315198,21648533.738191132,0,{"$f":"SUM(R567,R570)","v":792583171.59036994},31915172.693615001,17367981.325624701,12614233.11039624,26639497.466017198,47313330.417259991]
["Western Europe","Goats","Grassland systems","Aggregated","Western EuropeGoatsGrassland systemsAggregated",69.047319936475773,{"$f":"SUM(G566:G567)","v":22073927.229378},1524145515.6613472,295518504.98075843,970586645.32831204,258040365.35227653,{"$f":"SUM(L566:L567)","v":147892408.76817271},{"$f":"SUM(M566:M567)","v":0},78693548.780834407,159754942.38128203,40967160.466018289,0,940095734.42735004,30490910.900962003,19591874.190160099,6040856.4045024393,61294169.338105001,39323910.003959998]
["Western Europe","Goats","Grassland systems","Milk","Western EuropeGoatsGrassland systemsMilk",65.845770196541778,15678227.890000001,1032344990.733952,208953251.0360221,660173718.08570898,163218021.612221,100851039.62928191,0,52645001.194784999,96354199.972250015,33005772.396978099,0,641025849.13999999,19147868.945709001,14218820.445185998,988328.24976209993,51774239.100000001,22333871.66]
["Western Europe","Goats","Grassland systems","Meat","Western EuropeGoatsGrassland systemsMeat",76.895504124060949,6395699.3393780002,491800524.92739487,86565253.944736347,310412927.242603,94822343.740055501,47041369.13889081,0,26048547.5860494,63400742.409032002,7961388.0690401904,0,299069885.28735,11343041.955253001,5373053.7449741,5052528.1547403391,9519930.2381049991,16990038.343959998]
["Western Europe","Goats","Mixed systems","Aggregated","Western EuropeGoatsMixed systemsAggregated",61.543252196519994,{"$f":"SUM(G569:G570)","v":46322997.461619996},2850867915.2792349,574590712.19755912,1793118978.695632,483158224.38604379,{"$f":"SUM(L569:L570)","v":262666305.62370509},{"$f":"SUM(M569:M570)","v":0},150011992.59502319,281425628.04680997,81415138.560618937,0,1732132710.85302,60986267.842611998,51720603.744210601,9369398.6820228994,137038081.12791219,84101788.203299999]
["Western Europe","Goats","Mixed systems","Milk","Western EuropeGoatsMixed systemsMilk",58.431560775074054,34924439.979999997,2040689537.2267959,435075450.93087697,1279033561.6542499,326580524.64166903,191842754.28304201,0,107626621.37541899,179228227.10268998,67727992.891468003,0,1238619424.55,40414137.104249999,39725676.163560003,1807693.726367,119918513.90000001,53778496.130000003]
["Western Europe","Goats","Mixed systems","Meat","Western EuropeGoatsMixed systemsMeat",71.077272660057119,11398557.481620001,810178378.05243886,139515261.26668212,514085417.04138201,156577699.74437478,70823551.340663075,0,42385371.219604202,102197400.94411999,13687145.669150941,0,493513286.30302,20572130.738361999,11994927.5806506,7561704.9556558998,17119567.227912199,30323292.073299997]
["Western Europe","Pigs","Aggregated","Meat","Western EuropePigsAggregatedMeat",49.956132109531055,{"$f":"SUM(G572:G574)","v":2962170879.4460244},{"$f":"SUM(I571:K571)","v":147978599784.61139},80615821711.738235,33853756303.504589,33509021769.368576,{"$f":"SUM(L572:L574)","v":36338490499.302925},{"$f":"SUM(M572:M574)","v":5390210.86194814},14887803193.432463,10914391663.222958,31796220226.296978,0,4577584262.729948,29270781829.912693,7706826912.7131577,4660112302.1466351,1626501232.0056636,{"$f":"SUM(W572:W574)","v":6194497451.9860344}]
["Western Europe","Pigs","Backyard systems","Meat","Western EuropePigsBackyard systemsMeat",27.390800797298382,23705196.458679892,649304314.06052399,75867610.189032987,367719631.51452667,205717072.35696438,75206103.280094296,1823897.1537277799,56546772.378163226,10674464.383001942,0,0,61901985.215649128,303993749.14514977,138495835.59579921,0,661506.90893868997,0]
["Western Europe","Pigs","Intermediate systems","Meat","Western EuropePigsIntermediate systemsMeat",39.440259663194205,37828694.11662095,1491973518.6790771,648992448.21333027,497223346.49106663,345757723.97468007,379501866.27926183,3566313.7082203599,161394504.85060421,68870126.527147844,177989424.41008684,0,73885682.225574479,419771350.55727178,115493092.59692799,19591402.888890907,4102343.9945097696,67807410.640580848]
["Western Europe","Pigs","Industrial systems","Meat","Western EuropePigsIndustrial systemsMeat",50.27768814623343,2900636988.8707237,145837321951.87183,79890961653.335892,32988813325.498993,32957546973.036934,35883782529.743568,0,14669861916.203695,10834847072.312807,31618230801.88689,0,4441796595.2887249,28547016730.21027,7452837984.5204306,4640520899.2577438,1621737381.1022153,6126690041.3454533]
["Western Europe","Chicken","Aggregated","Aggregated","Western EuropeChickenAggregatedAggregated",28.373714429726615,{"$f":"SUM(G576:G577)","v":1520083835.3470521},43130424653.380829,31319043027.23838,2076130708.4834023,9735250917.6590424,{"$f":"SUM(L576:L577)","v":11704721284.505426},{"$f":"SUM(M576:M577)","v":1270562.85281468},5268359032.7179432,2578519013.0617485,13360512508.914932,0,0,2074860145.6305876,1888372871.8793499,3260180735.3399491,522000966.46512938,2471627532.0129414]
["Western Europe","Chicken","Aggregated","Eggs","Western EuropeChickenAggregatedEggs",23.903965839310526,{"$f":"SUM(G579,G582)","v":576787578.16893482},13787510565.088867,8780216153.7505379,1541136241.8625698,3466158169.4757605,{"$f":"SUM(L579,L582)","v":3753894012.8217368},{"$f":"SUM(M579,M582)","v":966281.9905090871},1641574550.5245917,853077192.40710127,3553527846.6851492,0,0,1540169959.8720608,971506426.54406738,538837629.72302103,36618629.225729331,897338035.29490364]
["Western Europe","Chicken","Aggregated","Meat","Western EuropeChickenAggregatedMeat",31.106785238469669,{"$f":"SUM(G580,G583,G585)","v":943296257.17811739},29342914088.29195,22538826873.487839,534994466.62083226,6269092748.1832809,{"$f":"SUM(L580,L583,L585)","v":7950827271.6836901},{"$f":"SUM(M580,M583,M585)","v":304280.8623055928},3626784482.1933513,1725441820.6546471,9806984662.229784,0,0,534690185.75852668,916866445.33528256,2721343105.6169281,485382337.23940003,1574289496.7180378]
["Western Europe","Chicken","Backyard systems","Aggregated","Western EuropeChickenBackyard systemsAggregated",11.452285031479486,{"$f":"SUM(G579:G580)","v":10741418.004651278},123013780.63153207,24901513.28207719,8843990.8895343002,89268276.459920585,{"$f":"SUM(L579:L580)","v":24901513.28207719},{"$f":"SUM(M579:M580)","v":1270562.85281468},18064188.196801361,3213291.4739189399,0,0,0,7573428.0367196202,67990796.789200276,0,0,0]
["Western Europe","Chicken","Backyard systems","Eggs",{"$f":"CONCATENATE(A579,B579,C579,D579)","v":"Western EuropeChickenBackyard systemsEggs"},10.845750729685303,8591686.9711270481,93183295.2363289,18861102.501533717,6707013.6869844738,67615179.047810718,18861102.501533717,966281.9905090871,13675997.026289143,2428552.2630127543,0,0,0,5740731.6964753866,51510629.758508824,0,0,0]
["Western Europe","Chicken","Backyard systems","Meat","Western EuropeChickenBackyard systemsMeat",{"$f":"IFERROR(H580/G580,0)","v":13.876380314564095},2149731.0335242297,29830485.395203147,{"$f":"SUM(L580,P580,Q580,U580,V580,W580)","v":6040410.7805434726},{"$f":"SUM(M580,R580,S580)","v":2136977.2025498268},{"$f":"SUM(N580,O580,T580)","v":21653097.412109848},6040410.7805434726,304280.8623055928,4388191.1705122171,784739.21090618556,0,0,0,1832696.3402442338,16480167.030691447,0,0,0]
["Western Europe","Chicken","Layers","Aggregated","Western EuropeChickenLayersAggregated",24.193182445992498,{"$f":"SUM(G582:G583)","v":602504596.58770669},14576503629.795496,9323247927.4538269,1637722116.9000843,3615533585.441586,{"$f":"SUM(L582:L583)","v":3975525427.804842},{"$f":"SUM(M582:M583)","v":0},1730664373.9111669,894722244.70941854,3772892586.3351908,0,0,1637722116.9000843,990146966.82100058,580335876.49602675,39676888.063783213,{"$f":"SUM(W582:W583)","v":954817148.75398254}]
["Western Europe","Chicken","Layers","Eggs","Western EuropeChickenLayersEggs",24.10141903874678,568195891.19780779,13694327269.852539,8761355051.2490044,1534429228.1755853,3398542990.4279499,3735032910.3202033,0,1627898553.4983025,850648640.14408851,3553527846.6851492,0,0,1534429228.1755853,919995796.78555858,538837629.72302103,36618629.225729331,897338035.29490364]
["Western Europe","Chicken","Layers","Meat","Western EuropeChickenLayersMeat",25.712901431794663,34308705.389898948,882176359.94295394,561892876.20481861,103292888.7244989,216990595.0136365,240492517.48463875,0,102765820.41286451,44073604.565329999,219364739.65004134,0,0,103292888.7244989,70151170.035441995,41498246.773005687,3058258.8380538849,57479113.459078945]
["Western Europe","Chicken","Broilers","Aggregated","Western EuropeChickenBroilersAggregated",31.351699931629277,{"$f":"G585","v":906837820.75469422},28430907242.953789,21970893586.502472,429564600.69378352,6030449055.757534,{"$f":"L585","v":7704294343.4185076},{"$f":"M585","v":0},3519630470.6099744,1680583476.8784108,9587619922.5797424,0,0,429564600.69378352,830235108.26914918,2679844858.8439226,482324078.40134615,1516810383.2589588]
["Western Europe","Chicken","Broilers","Meat","Western EuropeChickenBroilersMeat",31.351699931629277,906837820.75469422,28430907242.953789,21970893586.502472,429564600.69378352,6030449055.757534,7704294343.4185076,0,3519630470.6099744,1680583476.8784108,9587619922.5797424,0,0,429564600.69378352,830235108.26914918,2679844858.8439226,482324078.40134615,1516810383.2589588]
[]
[]
[null,null,null,null,"Aggregate Eastern Europe cattle meat per kg",{"$f":"F111","v":104.19985278948914},{"$f":"G111","v":262968609.76075},{"$f":"H111/$G111","v":104.19985278948914},{"$f":"I111/$G111","v":29.854819395452395},{"$f":"J111/$G111","v":52.53537678825105},21.809656605785698,17.958494242357826,0,7.9303301826957924,8.2816040786150076,7.861264177058727,0,48.762802053793614,3.7725747344574301,5.5977223444748976,0.47268892147347552,2.5651637481547214,0.99720830640764335]
[null,null,null,null,"Aggregate Global cattle meat per kg",{"$f":"F5","v":295.37505964325845},{"$f":"G5","v":10282218783.77659},{"$f":"H5/$G5","v":295.37505964325845},{"$f":"I5/$G5","v":65.086975510658377},{"$f":"J5/$G5","v":163.49421052199554},66.793873610604535,20.933116099249702,0,9.9600219107985168,47.421468062027408,3.1029623297875562,37.638395216442689,157.90756599915005,5.5866445228454786,9.4123836377786017,1.1885146480186488,1.2257707787878662,0.99821643837192364]
[null,null,null,null,"Aggregate Western Europe cattle meat per kg",{"$f":"F535","v":127.97609433016993},{"$f":"G535","v":1171453105.8344731},{"$f":"H535/$G535","v":127.97609433016993},{"$f":"I535/$G535","v":26.40624361546994},64.861298788904492,36.708551925795476,16.087582347363746,0,10.708688906466698,20.664357999573397,5.9087854882440896,0,57.820475496551488,7.0408232923530045,5.335505019755387,1.0525817861807563,2.3641533548678444,0.99314063881350234]

{"sheet":"ProteinData","index":48,"n_rows":101,"n_cols":48,"rows_kept":101,"cut":false,"hidden":true,"merged":[[11,1,11,11],[34,1,35,1],[39,1,39,11],[40,1,40,11]]}
[null,"Meat protein",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Milk Protein",null,null,null,null,null,"Egg protein",null,null,null,null,null,null,null,null,null,null,null,"Fish Protein"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Source:"]
[null,"GLEAM conversion factors for carcass to meat to protein (table 9.1 in the Model Description v2.0)",null,null,null,null,null,null,null,null,null,null,null,"BFM %","Protein %",null,null,"1kg of milk =",1.03,"litres of milk",null,null,null,"Table 2.19",null,null,null,null,null,null,null,null,null,null,null,"FAO Fisheries and Aquaculture Technical Paper No. 626"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,0.75,0.21129999999999999,"Cattle",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Quantifying and mitigating greenhouse gas emissions from global aquaculture"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sheep",null,"standardised protein content of milk",null,null,null,null,null,"Parameter","NA","RUS","WE","EE","NENA","ESEA","OCE","SA","LAC","SSA"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Goats",null,"1kg of milk =",3.3000000000000002E-2,"kg of protein",null,null,null,"Egg weight (EGGwght) (gr)",48,58,58,58,42,44,48,45,50,41,null,"Tables 9 and 10 below from FAO source are used to determine the Emissions Factors per kg of live weight by species group and region. Only Catfishes, Salmonids, Shrimps and prawns, and Tilapias are considered (Tool commodities)."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,0.65,0.20200000000000001,"Pigs",null,"http://www.fao.org/3/k7930e/k7930e00.pdf"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,0.75,0.19,"Chickens",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Table 9: GHG emissions by species-group and region (kilotonnes of CO2e), 2013"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Section 9.1.3",null,null,null,null,null,null,null,null,null,null,null,"Species-group","East Asia","South Asia","Sub-Saharan Africa","West Asia & North Africa","Latin America and Caribbean","New Zealand and Australia","Eastern Europe","Western Europe","North America","Russian Federation","Global"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Default egg protein content:",null,null,null,null,null,null,null,null,null,null,null,"Bivalves",15575,0,0,0,339,108,0,561,215,0,16799]
[null,"Data from GLEAM manual supplementary Excel",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"1kg of eggs =",0.124,"of 1kg of egg protein",null,null,null,null,null,null,null,null,null,"Catfishes",11035,949,526,0,0,0,0,0,363,0,12873]
[null,"TABLE 9.2. Dressing percentages ",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cyprinids",62921,3107,71,881,0,0,170,0,0,156,67305]
[null,null,"North America","Russian Federation","Western Europe","Eastern Europe","Near East and North Africa","East Asia and Southeast Asia","Oceania","South Asia","Latin America and the Caribbean","Sub-Saharan Africa",null,"Global",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Freshwater fishes",14426,1505,137,0,508,0,0,0,0,0,16576]
[null,"Dairy cattle",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Indian major carps",0,12105,0,0,0,0,0,0,0,0,12105]
[null,"     Adult and replacement female",50,50,50,50,48,50,50,50,50,47,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Marine fishes",12286,0,0,696,0,139,0,0,0,0,13120]
[null,"     Adult and replacement male",50,50,50,50,48,50,50,50,50,47,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Salmonids",0,0,0,293,3746,108,43,4037,384,108,8719]
[null,"     Surplus female and male",52,52,52,52,50,55,52,55,52,47,null,{"$f":"AVERAGE(C15:L17)","v":50.3},"Dairy cattle",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Shrimps and prawns",31060,2895,0,0,1958,0,0,0,226,0,36139]
[null,"Beef cattle",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Tilapias",14126,0,554,2168,697,0,0,0,0,0,17544]
[null,"     Adult and replacement female",55,55,55,55,50,50,50,50,50,47,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"TOTAL",161429,20561,1288,4037,7248,355,213,4598,1188,264,201181]
[null,"     Adult and replacement male",55,55,55,55,50,50,50,50,50,47]
[null,"     Surplus female and male",60,60,60,60,55,55,55,55,55,47,null,{"$f":"AVERAGE(C19:L21)","v":53.2},"Beef cattle"]
[null,"Cattle",{"$f":"AVERAGE(C19:C21,C15:C17)","v":53.666666666666664},53.666666666666664,53.666666666666664,53.666666666666664,50.166666666666664,51.666666666666664,51.166666666666664,51.666666666666664,51.166666666666664,47,null,{"$f":"AVERAGE(N19:N21,N15:N17)","v":51.75},"Averages per region",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Table 8: Production of different species-group by region (kilotonnes of live weight), 2013"]
[null,"Buffaloes",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Species-group","East Asia","South Asia","Sub-Saharan Africa","West Asia & North Africa","Latin America and Caribbean","New Zealand and Australia","Eastern Europe","Western Europe","North America","Russian Federation","Global"]
[null,"     Adult and replacement female",49,49,49,49,49,49,49,49,49,49,null,"-",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bivalves",13526,0,0,0,345,101,0,546,199,0,14717]
[null,"     Adult and replacement male",50,50,50,50,50,50,50,50,50,50,null,"-",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Catfishes",3400,363,239,0,0,0,0,0,153,0,4155]
[null,"     Surplus female and male",55,55,55,55,55,55,55,55,55,55,null,"-",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cyprinids",19189,990,28,321,0,0,107,0,0,98,20734]
[null,"Sheep",55,45,48,45,45,49,50,48,49,45,null,"-",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Freshwater fishes",4010,453,50,0,223,0,0,0,0,0,4735]
[null,"Goats",52,43,43,43,44,48,45,43,44,48,null,"-",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Indian major carps",0,4143,0,0,0,0,0,0,0,0,4143]
[null,"Pigs",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Marine fishes",2338,0,0,161,0,12,0,0,0,0,2510]
[null,"     Backyard systems",65,65,65,65,65,65,65,65,65,65,null,{"$f":"AVERAGE(C28:L30)","v":55.15},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Salmonids",0,0,0,137,834,55,20,1485,169,47,2746]
[null,"     Intermediate systems",75,75,75,75,75,75,75,75,75,75,null,{"$f":"AVERAGE(C29:L31)","v":70},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Shrimps and prawns",4379,455,0,0,641,0,0,0,50,0,5525]
[null,"     Industrial systems",75,75,{"$f":"AVERAGE(D44:D85)","v":70.100000000000009},75,75,75,75,75,75,75,null,{"$f":"AVERAGE(C30:L32)","v":71.50333333333333},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Tilapias",3480,0,169,652,349,0,0,0,0,0,4650]
[null,"Aggregated",{"$f":"AVERAGE(C30:C32)","v":71.666666666666671},71.666666666666671,70.033333333333346,71.666666666666671,71.666666666666671,71.666666666666671,71.666666666666671,71.666666666666671,71.666666666666671,71.666666666666671,null,{"$f":"AVERAGE(C31:L33)","v":73.671111111111102},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"TOTAL",50320,6404,487,1271,2392,168,127,2031,571,145,63915]
[null,"Chicken"]
[null,"     Backyard systems (chicken)",{"$f":"AVERAGE(C37:C38)","v":61.5},62.5,61,62.5,61,59,60.5,61.5,71.5,60,null,{"$f":"AVERAGE(C32:L35)","v":69.371111111111119}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"CT Calculated: Emissions Factors by species group and region (kilotonnes of CO2e per Kilotonne of live weight)"]
[null,"     Layers",55,55,55,55,55,55,55,55,55,55,null,{"$f":"AVERAGE(C35:L37)","v":58.55},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Species-group","East Asia","South Asia","Sub-Saharan Africa","West Asia & North Africa","Latin America and Caribbean","New Zealand and Australia","Eastern Europe","Western Europe","North America","Russian Federation","Global"]
[null,"     Broilers",68,70,67,70,67,63,66,68,88,65,null,{"$f":"AVERAGE(C36:L38)","v":62.1},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bivalves",{"$f":"IFERROR((_xlfn.XLOOKUP($AJ38,$AJ$10:$AJ$18,AK$10:AK$18,,0,))/(_xlfn.XLOOKUP($AJ38,$AJ$24:$AJ$32,AK$24:AK$32)),0)","v":1.1514860269111342},{"$f":"IFERROR((_xlfn.XLOOKUP($AJ38,$AJ$10:$AJ$18,AL$10:AL$18,,0,))/(_xlfn.XLOOKUP($AJ38,$AJ$24:$AJ$32,AL$24:AL$32)),0)","v":0},0,0,0.9826086956521739,1.0693069306930694,0,1.0274725274725274,1.0804020100502512,0,1.1414690493986546]
[null,"Aggregated (chicken)",{"$f":"AVERAGE(C36:C38)","v":61.5},62.5,61,62.5,61,59,60.5,61.5,71.5,60,null,{"$f":"AVERAGE(C37:L39)","v":62.1},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Catfishes",3.2455882352941177,2.6143250688705235,2.2008368200836821,0,0,0,0,0,2.3725490196078431,0,3.0981949458483755]
[null,"Regions: NA (North America), RUS (Russian Federation), WE (Western Europe), EE (Eastern Europe), NENA (Near East and North Africa), ESEA (East and Southeast Asia), OCE (Oceania), SA (South Asia), LAC (Latin America and the Caribbean) and SSA (Sub-Saharan Africa)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cyprinids",3.2790140184480694,3.1383838383838385,2.5357142857142856,2.7445482866043616,0,0,1.5887850467289719,0,0,1.5918367346938775,3.2461174881836596]
[null,"* Specific country values in table below",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Freshwater fishes",3.5975062344139652,3.3222958057395142,2.74,0,2.2780269058295963,0,0,0,0,0,3.5007391763463569]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Indian major carps",0,2.9217958001448228,0,0,0,0,0,0,0,0,2.9217958001448228]
[null,"COUNTRY","Region","Value",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Marine fishes",5.2549187339606505,0,0,4.3229813664596275,0,11.583333333333334,0,0,0,0,5.2270916334661353]
[null,"Albania","Western Europe",75,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Salmonids",0,0,0,2.1386861313868613,4.491606714628297,1.9636363636363636,2.15,2.7185185185185183,2.2721893491124261,2.2978723404255321,3.1751638747268753]
[null,"Andorra","Western Europe",75,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Shrimps and prawns",7.0929435944279513,6.3626373626373622,0,0,3.0546021840873636,0,0,0,4.5199999999999996,0,6.5409954751131218]
[null,"Austria","Western Europe",78.100000000000009,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Tilapias",4.059195402298851,0,3.2781065088757395,3.3251533742331287,1.997134670487106,0,0,0,0,0,3.7729032258064517]
[null,"Belgium","Western Europe",80]
[null,"Bosnia and Herzegovina","Western Europe",75,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Tables below is used to determine the Aqua commodities emission split by GHG type. All species groups from FAO source are considered:"]
[null,"Croatia","Western Europe",75,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Table 10: Global GHG emissions by species-group and emission category, 2013"]
[null,"Denmark","Western Europe",75.5,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Species-group","Crop fertilizer production","Crop N2O","Crop energy use","Crop LUC","Rice CH4","Fishmeal","Other materials","Blending/transport","Pond fertilizer production","On-farm energy use","Aquatic N2O","TOTAL"]
[null,"Estonia","Western Europe",75,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bivalves",0,0,0,0,0,0,0,0,0,5152,11647,16799]
[null,"Faroe Islands","Western Europe",75,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Catfishes",1698,1644,1668,1780,903,393,699,616,0,183,3288,12873]
[null,"Finland","Western Europe",75,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cyprinids",6295,5642,9723,5396,7409,3424,2938,3442,1156,5471,16409,67305]
[null,"France","Western Europe",76.5,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Freshwater fishes",1510,1394,2220,887,1712,809,595,758,124,2819,3748,16576]
[null,"Germany","Western Europe",77.400000000000006,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Indian major carps",2345,2679,891,0,832,281,49,528,236,986,3279,12105]
[null,"Gibraltar","Western Europe",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Marine fishes",385,387,265,680,10,791,7838,566,0,212,1987,13120]
[null,"Greece","Western Europe",75,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Salmonids",345,613,708,2661,0,1326,431,231,0,232,2173,8719]
[null,"Guernsey","Western Europe",75,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Shrimps and prawns",2336,2328,1717,2781,585,3205,1302,740,21,16751,4372,36139]
[null,"Holy See","Western Europe",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Tilapias",2049,2033,1818,2345,613,537,1089,589,118,2672,3680,17544]
[null,"Iceland","Western Europe",75,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"TOTAL",16962,16721,19010,16530,12065,10764,14942,7470,1656,34478,50583,201181]
[null,"Ireland","Western Europe",76]
[null,"Isle of Man","Western Europe",75,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Emissions split by GHG type",null,null,null,null,null,"Quantifying and mitigating greenhouse gas emissions from global aquaculture"]
[null,"Italy","Western Europe",77.2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"% of global aquaculture emissions"]
[null,"Jersey","Western Europe",75,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"CO2",{"$f":"(AK60+AM60+AN60+AP60+AQ60+AR60+AS60+AT60)/AV60","v":0.60548461335812032}]
[null,"Latvia","Western Europe",75,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"CH4",{"$f":"AO60/AV60","v":5.997087200083507E-2}]
[null,"Liechtenstein","Western Europe",75,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"N2O (crop feed)",{"$f":"AL60/AV60","v":8.3114210586486797E-2}]
[null,"Lithuania","Western Europe",75,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"N2O (aquatic)",{"$f":"AU60/AV60","v":0.25143030405455785}]
[null,"Luxembourg","Western Europe",75,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"N2O Total",{"$f":"AK67+AK66","v":0.33454451464104462}]
[null,"Madeira Islands","Western Europe",75]
[null,"Malta","Western Europe",75,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Table below from WWF source is used to determine the Emissions Factor for Tuna (kg CO2e / kg Live Weight)"]
[null,"Monaco","Western Europe",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Average wild caught tuna emission factor (kg CO2e / kg liveweight)"]
[null,"Netherlands","Western Europe",77.400000000000006,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Source:","4brwfb5e9n_MOBERG_GHG_Brief_TUNA_07_22_v4.pdf"]
[null,"Norway","Western Europe",75,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Conversion of liveweight to Edible weight (assumption from source):"]
[null,"Portugal","Western Europe",75,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"1 kg of live weight =",0.47,"kg of edible weight"]
[null,"San Marino","Western Europe",75]
[null,"Slovenia","Western Europe",75,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Global Average EF\nkg CO2e / kg Edible Weight","Global Average EF\nkg CO2e / kg Live Weight"]
[null,"Spain","Western Europe",75.599999999999994,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.6,{"$f":"AJ77*AK74","v":3.5719999999999996}]
[null,"Svalbard and Jan Mayen Islands","Western Europe",75]
[null,"Sweden","Western Europe",74.599999999999994,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Proxy EF for fish processing "]
[null,"Switzerland","Western Europe",75,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Source:","4brwfb5e9n_MOBERG_GHG_Brief_TUNA_07_22_v4.pdf"]
[null,"The former Yugoslav Republic of Macedonia","Western Europe",75]
[null,"U.K. of Great Britain and Northern Ireland","Western Europe",75.900000000000006,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Processing EF\nkg CO2e / kg TP*",{"$f":"(0.13+0.62)/2","v":0.375}]
[null,"Montenegro","Western Europe",75,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"*TP = Tuna Products"]
[null,"Serbia","Western Europe",75]
[null,"Azores Islands","Western Europe",75]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Table below from FAO source on Soybean production is currently not used in the tool - for future developments to include LUC:"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Soy bean production by region for feed LUC allocation"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Source:","FAOSTAT"]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Soy bean production (t)","Percentage global share"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"East Asia",20078574.07,5.4094832084978874E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"South Asia",15332758.91,4.1308860666314916E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sub-Saharan Africa",2955095.76,7.9614921047146351E-3]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"West Asia & North Africa",203696.76,5.4879106404861556E-4]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Latin America and Caribbean",192213100.33000001,0.51785228127430205]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"New Zealand and Australia",52000,1.4009616711884866E-4]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Eastern Europe",12124379,3.2664981280697294E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Western Europe",798779,2.152036082212054E-3]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"North America",120323945,0.32417160590613758]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Russian Federation",6600000,1.7781436595853867E-2]
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["Emissions from BEEF, MILK and EGGS"]
[]
[null,"Cattle",null,null,"Meat",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"'Crops & Countries'!H28","v":"Meat (cattle)"},null,null,null,null,null,"Live animal (cattle)",null,null,null,null,null,"% CH4","% N2O","Figure 5, Large Ruminant GHGs"]
[null,null,null,null,"Aggregated",null,null,null,"Grassland systems",null,null,null,"Mixed systems",null,null,null,"Grassland systems",null,"Feedlots",null,"Mixed systems",null,"Feedlots",null,null,"EF by deadweight (slaughter gate carcass) without LUC:",null,null,null,null,null,"EF by liveweight at farm gate without LUC"]
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[]
[]
[null,"Cattle",null,null,"Milk",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"'Crops & Countries'!H31","v":"Milk (cattle)"}]
[null,null,null,null,"Aggregated",null,null,null,"Grassland systems",null,null,null,"Mixed systems",null,null,null,null,null,null,null,null,null,null,null,null,"EF by kg at farm gate without LUC:",null,null,null,null,null,"EF by litre at farm gate without LUC",null,null,null,null,null,null,null,"Figure 5, Large Ruminant GHGs"]
[null,null,null,null,"per kg protein (aggregated)",null,null,null,"per kg protein (grassland)",null,null,null,"per kg protein (mixed)",null,null,null,null,null,null,null,null,null,null,null,null,"per kg milk",null,null,null,null,null,"per litre milk"]
[null,"FAO Region","IFC Region",null,"EF (per kg protein)","EF (LUC feed)","EF (LUC pasture)","EF Processing","EF (per kg protein)","EF (LUC feed)","EF (LUC pasture)","EF Processing","EF (per kg protein)","EF (LUC feed)","EF (LUC pasture)","EF Processing",null,null,null,null,null,null,null,null,"IFC Region","Aggregated","Grassland","Mixed",null,null,"IFC Region","Aggregated","Grassland","Mixed"]
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[null,"NORTH AMERICA","North America",null,{"$f":"VLOOKUP(CONCATENATE($B29,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":56.885921793063851},{"$f":"VLOOKUP(CONCATENATE($B29,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B29,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":2.8326036261501441E-2},{"$f":"VLOOKUP(CONCATENATE($B29,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B29,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B29,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B29,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":9.5288746859473257},{"$f":"VLOOKUP(CONCATENATE($B29,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":59.113454931100485},{"$f":"VLOOKUP(CONCATENATE($B29,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B29,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":3.0411801702450791E-2},{"$f":"VLOOKUP(CONCATENATE($B29,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B29,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B29,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B29,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":9.4128473757994513},{"$f":"VLOOKUP(CONCATENATE($B29,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":54.891684273108964},{"$f":"VLOOKUP(CONCATENATE($B29,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B29,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":2.645871872124134E-2},{"$f":"VLOOKUP(CONCATENATE($B29,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B29,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B29,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B29,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":9.6327501395983894},null,null,null,null,null,null,null,null,"North America",{"$f":"(E29-SUM(F29:H29))*ProteinData!S6","v":1.5618477953382159},{"$f":"(I29-SUM(J29:L29))*ProteinData!S6","v":1.6391164598687533},{"$f":"(M29-SUM(N29:P29))*ProteinData!S6","v":1.492671688688048},null,null,"North America",{"$f":"Z29/ProteinData!S3","v":1.5163570828526367},{"$f":"AA29/ProteinData!S3","v":1.5913752037560711},{"$f":"AB29/ProteinData!S3","v":1.4491958142602408},null,null,null,0.47900000000000004,0.29799999999999999]
[null,"OCEANIA",null,null,{"$f":"VLOOKUP(CONCATENATE($B30,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":56.992277841949758},{"$f":"VLOOKUP(CONCATENATE($B30,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B30,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0.50608388082897049},{"$f":"VLOOKUP(CONCATENATE($B30,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B30,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B30,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B30,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":8.6275169805273126},{"$f":"VLOOKUP(CONCATENATE($B30,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":56.703910566070128},{"$f":"VLOOKUP(CONCATENATE($B30,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B30,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0.59935059305662997},{"$f":"VLOOKUP(CONCATENATE($B30,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B30,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B30,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B30,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":8.8538701990523325},{"$f":"VLOOKUP(CONCATENATE($B30,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":57.360398639981113},{"$f":"VLOOKUP(CONCATENATE($B30,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B30,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0.38702246364744197},{"$f":"VLOOKUP(CONCATENATE($B30,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B30,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B30,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B30,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":8.3385614213841368},null,null,null,null,null,null,null,null,null,{"$f":"(E30-SUM(F30:H30))*ProteinData!S6","v":1.5793363403595846},{"$f":"(I30-SUM(J30:L30))*ProteinData!S6","v":1.5592727625407186},{"$f":"(M30-SUM(N30:P30))*ProteinData!S6","v":1.6049488869133346},null,null,null,{"$f":"Z30/ProteinData!S3","v":1.5333362527762957},{"$f":"AA30/ProteinData!S3","v":1.5138570510104064},{"$f":"AB30/ProteinData!S3","v":1.5582028028284802},null,null,null,0.47900000000000004,0.29799999999999999]
[null,"RUSSIAN FEDERATION",null,null,{"$f":"VLOOKUP(CONCATENATE($B31,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":48.542044917222668},{"$f":"VLOOKUP(CONCATENATE($B31,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B31,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0.19663731262815984},{"$f":"VLOOKUP(CONCATENATE($B31,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B31,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B31,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B31,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":2.5761174947032699},{"$f":"VLOOKUP(CONCATENATE($B31,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":47.818613959128093},{"$f":"VLOOKUP(CONCATENATE($B31,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B31,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B31,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B31,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B31,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B31,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":2.5761174933089719},{"$f":"VLOOKUP(CONCATENATE($B31,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":49.110766993514488},{"$f":"VLOOKUP(CONCATENATE($B31,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B31,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0.35122287392191931},{"$f":"VLOOKUP(CONCATENATE($B31,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B31,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B31,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B31,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":2.5761174957993909},null,null,null,null,null,null,null,null,null,{"$f":"(E31-SUM(F31:H31))*ProteinData!S6","v":1.5103865736264108},{"$f":"(I31-SUM(J31:L31))*ProteinData!S6","v":1.4930023833720312},{"$f":"(M31-SUM(N31:P31))*ProteinData!S6","v":1.5240530785851751},null,null,null,{"$f":"Z31/ProteinData!S3","v":1.466394731676127},{"$f":"AA31/ProteinData!S3","v":1.4495168770602245},{"$f":"AB31/ProteinData!S3","v":1.479663183092403},null,null,null,0.47900000000000004,0.29799999999999999]
[null,"SOUTH ASIA","South Asia",null,{"$f":"VLOOKUP(CONCATENATE($B32,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":140.46555014545919},{"$f":"VLOOKUP(CONCATENATE($B32,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B32,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0.48032586581330433},{"$f":"VLOOKUP(CONCATENATE($B32,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B32,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B32,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B32,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":4.7939998778569786},{"$f":"VLOOKUP(CONCATENATE($B32,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":148.56683380408865},{"$f":"VLOOKUP(CONCATENATE($B32,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B32,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B32,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B32,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B32,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B32,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":4.7939998762703242},{"$f":"VLOOKUP(CONCATENATE($B32,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":138.30972327889575},{"$f":"VLOOKUP(CONCATENATE($B32,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B32,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0.60814504236104272},{"$f":"VLOOKUP(CONCATENATE($B32,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B32,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B32,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B32,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":4.7939998782792026},null,null,null,null,null,null,null,null,"South Asia",{"$f":"(E32-SUM(F32:H32))*ProteinData!S6","v":4.4613104052590336},{"$f":"(I32-SUM(J32:L32))*ProteinData!S6","v":4.7445035196180045},{"$f":"(M32-SUM(N32:P32))*ProteinData!S6","v":4.3859500858224321},null,null,"South Asia",{"$f":"Z32/ProteinData!S3","v":4.3313693254942072},{"$f":"AA32/ProteinData!S3","v":4.6063140967165088},{"$f":"AB32/ProteinData!S3","v":4.258203966817895},null,null,null,0.47900000000000004,0.29799999999999999]
[null,"SUB-SAHARAN AFRICA","Africa",null,{"$f":"VLOOKUP(CONCATENATE($B33,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":191.26136086567118},{"$f":"VLOOKUP(CONCATENATE($B33,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B33,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0.79363942019550704},{"$f":"VLOOKUP(CONCATENATE($B33,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B33,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B33,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B33,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":2.0027568032485474},{"$f":"VLOOKUP(CONCATENATE($B33,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":236.74405993608929},{"$f":"VLOOKUP(CONCATENATE($B33,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B33,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B33,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B33,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B33,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B33,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":2.0017778087381624},{"$f":"VLOOKUP(CONCATENATE($B33,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":154.89490028369318},{"$f":"VLOOKUP(CONCATENATE($B33,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B33,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":1.4282072290706733},{"$f":"VLOOKUP(CONCATENATE($B33,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B33,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B33,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B33,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":2.0035395748518066},null,null,null,null,null,null,null,null,"Africa",{"$f":"(E33-SUM(F33:H33))*ProteinData!S6","v":6.2193438331934958},{"$f":"(I33-SUM(J33:L33))*ProteinData!S6","v":7.7464953102025875},{"$f":"(M33-SUM(N33:P33))*ProteinData!S6","v":4.9982840648324327},null,null,"Africa",{"$f":"Z33/ProteinData!S3","v":6.0381978963043643},{"$f":"AA33/ProteinData!S3","v":7.5208692332063958},{"$f":"AB33/ProteinData!S3","v":4.8527029755654683},null,null,null,0.47900000000000004,0.29799999999999999]
[null,"WESTERN EUROPE","Western Europe",null,{"$f":"VLOOKUP(CONCATENATE($B34,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":47.200854370578547},{"$f":"VLOOKUP(CONCATENATE($B34,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B34,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":1.3297906787033378},{"$f":"VLOOKUP(CONCATENATE($B34,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B34,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B34,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B34,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":4.1119944219882605},{"$f":"VLOOKUP(CONCATENATE($B34,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":46.958658002440238},{"$f":"VLOOKUP(CONCATENATE($B34,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B34,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0.80025018297143424},{"$f":"VLOOKUP(CONCATENATE($B34,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B34,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B34,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B34,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":4.0183399548654872},{"$f":"VLOOKUP(CONCATENATE($B34,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":47.316203894197258},{"$f":"VLOOKUP(CONCATENATE($B34,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B34,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":1.5819919994292009},{"$f":"VLOOKUP(CONCATENATE($B34,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B34,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B34,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B34,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":4.1565987166373306},null,null,null,null,null,null,null,null,"Western Europe",{"$f":"(E34-SUM(F34:H34))*ProteinData!S6","v":1.3780492859062694},{"$f":"(I34-SUM(J34:L34))*ProteinData!S6","v":1.3906222395319094},{"$f":"(M34-SUM(N34:P34))*ProteinData!S6","v":1.3720612348783141},null,null,"Western Europe",{"$f":"Z34/ProteinData!S3","v":1.3379119280643392},{"$f":"AA34/ProteinData!S3","v":1.3501186791571935},{"$f":"AB34/ProteinData!S3","v":1.3320982862896253},null,null,null,0.47900000000000004,0.29799999999999999]
[]
[]
[null,"Pigs",null,null,"Meat",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"'Crops & Countries'!H30","v":"Meat (pig)"},null,null,null,null,null,"Live animal (pig)"]
[null,null,null,null,"Aggregated",null,null,null,"Backyard systems",null,null,null,"Intermediate systems",null,null,null,"Industrial systems",null,null,null,null,null,null,null,null,"EF by deadweight (slaughter gate carcass) without LUC:",null,null,null,null,null,"EF by kg liveweight at farm gate without LUC",null,null,null,null,null,null,null,"Figure 6, Pig & Poultry GHGs"]
[null,null,null,null,"per kg protein (aggregated)",null,null,null,"per kg protein (backyard)",null,null,null,"per kg protein (intermediate)",null,null,null,"per kg protein (industrial)",null,null,null,null,null,null,null,null,"per kg carcass",null,null,null,null,null,"per kg liveweight"]
[null,"FAO Region","IFC Region",null,"EF (per kg protein)","EF (LUC feed)","EF (LUC pasture)","EF Processing","EF (per kg protein)","EF (LUC feed)","EF (LUC pasture)","EF Processing","EF (per kg protein)","EF (LUC feed)","EF (LUC pasture)","EF Processing","EF (per kg protein)","EF (LUC feed)","EF (LUC pasture)","EF Processing",null,null,null,null,"IFC Region","Aggregated","Backyard","Intermediate","Industrial",null,"IFC Region","Aggregated","Backyard","Intermediate","Industrial"]
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[null,"EAST ASIA AND SOUTHEAST ASIA","East Asia and Pacific",null,{"$f":"VLOOKUP(CONCATENATE($B42,$B$37,E$38,$E$37),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":62.793916233353059},{"$f":"VLOOKUP(CONCATENATE($B42,$B$37,E$38,$E$37),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B42,$B$37,E$38,$E$37),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":3.7853261620825123},{"$f":"VLOOKUP(CONCATENATE($B42,$B$37,E$38,$E$37),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B42,$B$37,E$38,$E$37),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B42,$B$37,E$38,$E$37),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B42,$B$37,E$38,$E$37),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":2.4234727462689425},{"$f":"VLOOKUP(CONCATENATE($B42,$B$37,I$38,$E$37),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":50.736691851924796},{"$f":"VLOOKUP(CONCATENATE($B42,$B$37,I$38,$E$37),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B42,$B$37,I$38,$E$37),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B42,$B$37,I$38,$E$37),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B42,$B$37,I$38,$E$37),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B42,$B$37,I$38,$E$37),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B42,$B$37,I$38,$E$37),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B42,$B$37,M$38,$E$37),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":73.257776002540055},{"$f":"VLOOKUP(CONCATENATE($B42,$B$37,M$38,$E$37),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B42,$B$37,M$38,$E$37),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":4.807719717267565},{"$f":"VLOOKUP(CONCATENATE($B42,$B$37,M$38,$E$37),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B42,$B$37,M$38,$E$37),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B42,$B$37,M$38,$E$37),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B42,$B$37,M$38,$E$37),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":4.0432263035020943},{"$f":"VLOOKUP(CONCATENATE($B42,$B$37,Q$38,$E$37),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":70.057293012480145},{"$f":"VLOOKUP(CONCATENATE($B42,$B$37,Q$38,$E$37),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B42,$B$37,Q$38,$E$37),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":8.2971850446555511},{"$f":"VLOOKUP(CONCATENATE($B42,$B$37,Q$38,$E$37),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B42,$B$37,Q$38,$E$37),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B42,$B$37,Q$38,$E$37),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B42,$B$37,Q$38,$E$37),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":4.3601937810846669},null,null,null,null,"East Asia and Pacific",{"$f":"(E42-SUM(F42:H42))*ProteinData!O7*ProteinData!N7","v":7.4296259047727107},{"$f":"(I42-SUM(J42:L42))*ProteinData!O7*ProteinData!N7","v":6.6617276401577259},{"$f":"(M42-SUM(N42:P42))*ProteinData!O7*ProteinData!N7","v":8.4566167766064542},{"$f":"(Q42-SUM(R42:T42))*ProteinData!O7*ProteinData!N7","v":7.5366087327189533},null,"East Asia and Pacific",{"$f":"Z42*HLOOKUP($B42,ProteinData!B13:N39,MATCH($AF$40,ProteinData!B13:B39,0),FALSE)/100","v":5.3245652317537759},{"$f":"AA42*HLOOKUP($B42,ProteinData!B13:N39,MATCH($AF$40,ProteinData!B13:B39,0),FALSE)/100","v":4.7742381421130373},{"$f":"AB42*HLOOKUP($B42,ProteinData!B13:N39,MATCH($AF$40,ProteinData!B13:B39,0),FALSE)/100","v":6.0605753565679592},{"$f":"AC42*HLOOKUP($B42,ProteinData!B13:N39,MATCH($AF$40,ProteinData!B13:B39,0),FALSE)/100","v":5.4012362584485833},null,null,{"$f":"0.057+0.192","v":0.249},0.252]
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[null,"WESTERN EUROPE","Western Europe",null,{"$f":"VLOOKUP(CONCATENATE($B51,$B$37,E$38,$E$37),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":49.956132109531055},{"$f":"VLOOKUP(CONCATENATE($B51,$B$37,E$38,$E$37),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B51,$B$37,E$38,$E$37),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":10.734093852223475},{"$f":"VLOOKUP(CONCATENATE($B51,$B$37,E$38,$E$37),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B51,$B$37,E$38,$E$37),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B51,$B$37,E$38,$E$37),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B51,$B$37,E$38,$E$37),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":2.0912019272650837},{"$f":"VLOOKUP(CONCATENATE($B51,$B$37,I$38,$E$37),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":27.390800797298382},{"$f":"VLOOKUP(CONCATENATE($B51,$B$37,I$38,$E$37),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B51,$B$37,I$38,$E$37),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B51,$B$37,I$38,$E$37),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B51,$B$37,I$38,$E$37),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B51,$B$37,I$38,$E$37),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B51,$B$37,I$38,$E$37),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B51,$B$37,M$38,$E$37),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":39.440259663194205},{"$f":"VLOOKUP(CONCATENATE($B51,$B$37,M$38,$E$37),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B51,$B$37,M$38,$E$37),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":4.7051432402442588},{"$f":"VLOOKUP(CONCATENATE($B51,$B$37,M$38,$E$37),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B51,$B$37,M$38,$E$37),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B51,$B$37,M$38,$E$37),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B51,$B$37,M$38,$E$37),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":1.7924861596210382},{"$f":"VLOOKUP(CONCATENATE($B51,$B$37,Q$38,$E$37),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":50.27768814623343},{"$f":"VLOOKUP(CONCATENATE($B51,$B$37,Q$38,$E$37),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B51,$B$37,Q$38,$E$37),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":10.900443910493088},{"$f":"VLOOKUP(CONCATENATE($B51,$B$37,Q$38,$E$37),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B51,$B$37,Q$38,$E$37),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B51,$B$37,Q$38,$E$37),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B51,$B$37,Q$38,$E$37),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":2.1121877935269304},null,null,null,null,"Western Europe",{"$f":"(E51-SUM(F51:H51))*ProteinData!O7*ProteinData!N7","v":4.8752788101345805},{"$f":"(I51-SUM(J51:L51))*ProteinData!O7*ProteinData!N7","v":3.5964121446852784},{"$f":"(M51-SUM(N51:P51))*ProteinData!O7*ProteinData!N7","v":4.3253673535750856},{"$f":"(Q51-SUM(R51:T51))*ProteinData!O7*ProteinData!N7","v":4.8929019108626219},null,"Western Europe",{"$f":"Z51*HLOOKUP($B51,ProteinData!B13:N39,MATCH($AF$40,ProteinData!B13:B39,0),FALSE)/100","v":3.4143202600309182},{"$f":"AA51*HLOOKUP($B51,ProteinData!B13:N39,MATCH($AF$40,ProteinData!B13:B39,0),FALSE)/100","v":2.5186873053279237},{"$f":"AB51*HLOOKUP($B51,ProteinData!B13:N39,MATCH($AF$40,ProteinData!B13:B39,0),FALSE)/100","v":3.0291989366204191},{"$f":"AC51*HLOOKUP($B51,ProteinData!B13:N39,MATCH($AF$40,ProteinData!B13:B39,0),FALSE)/100","v":3.4266623049074569},null,null,0.249,0.252]
[]
[]
[null,"Chicken",null,null,"Meat",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"'Crops & Countries'!H29","v":"Meat (chicken)"},null,null,null,null,null,"Live animal (chicken)"]
[null,null,null,null,"Aggregated",null,null,null,"Backyard systems",null,null,null,"Layers",null,null,null,"Broilers",null,null,null,null,null,null,null,null,"EF by deadweight (slaughter gate carcass) without LUC:",null,null,null,null,null,"EF by kg liveweight at farm gate without LUC",null,null,null,null,null,null,null,"Figure 28, Pig & Poultry GHGs"]
[null,null,null,null,"per kg protein (aggregated)",null,null,null,"per kg protein (backyard)",null,null,null,"per kg protein (layers)",null,null,null,"per kg protein (broilers)",null,null,null,null,null,null,null,null,"per kg carcass",null,null,null,null,null,"per kg liveweight"]
[null,"FAO Region","IFC Region",null,"EF (per kg protein)","EF (LUC feed)","EF (LUC pasture)","EF Processing","EF (per kg protein)","EF (LUC feed)","EF (LUC pasture)","EF Processing","EF (per kg protein)","EF (LUC feed)","EF (LUC pasture)","EF Processing","EF (per kg protein)","EF (LUC feed)","EF (LUC pasture)","EF Processing",null,null,null,null,"IFC Region","Aggregated","Backyard","Layers","Broilers",null,"IFC Region","Aggregated (chicken)","Backyard systems (chicken)","Layers","Broilers"]
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[null,"WESTERN EUROPE","Western Europe",null,{"$f":"VLOOKUP(CONCATENATE($B68,$B$54,E$55,$E$54),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":31.106785238469669},{"$f":"VLOOKUP(CONCATENATE($B68,$B$54,E$55,$E$54),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B68,$B$54,E$55,$E$54),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":10.396505432521806},{"$f":"VLOOKUP(CONCATENATE($B68,$B$54,E$55,$E$54),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B68,$B$54,E$55,$E$54),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B68,$B$54,E$55,$E$54),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B68,$B$54,E$55,$E$54),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":1.6689237180136225},{"$f":"VLOOKUP(CONCATENATE($B68,$B$54,I$55,$E$54),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":13.876380314564095},{"$f":"VLOOKUP(CONCATENATE($B68,$B$54,I$55,$E$54),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B68,$B$54,I$55,$E$54),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B68,$B$54,I$55,$E$54),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B68,$B$54,I$55,$E$54),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B68,$B$54,I$55,$E$54),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B68,$B$54,I$55,$E$54),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B68,$B$54,M$55,$E$54),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":25.712901431794663},{"$f":"VLOOKUP(CONCATENATE($B68,$B$54,M$55,$E$54),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B68,$B$54,M$55,$E$54),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":6.3938506905779651},{"$f":"VLOOKUP(CONCATENATE($B68,$B$54,M$55,$E$54),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B68,$B$54,M$55,$E$54),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B68,$B$54,M$55,$E$54),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B68,$B$54,M$55,$E$54),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":1.6753506961531037},{"$f":"VLOOKUP(CONCATENATE($B68,$B$54,Q$55,$E$54),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":31.351699931629277},{"$f":"VLOOKUP(CONCATENATE($B68,$B$54,Q$55,$E$54),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B68,$B$54,Q$55,$E$54),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":10.572584979528836},{"$f":"VLOOKUP(CONCATENATE($B68,$B$54,Q$55,$E$54),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B68,$B$54,Q$55,$E$54),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B68,$B$54,Q$55,$E$54),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B68,$B$54,Q$55,$E$54),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":1.6726368800946452},null,null,null,null,"Western Europe",{"$f":"(E68-SUM(F68:H68))*ProteinData!O8*ProteinData!N8","v":2.7133932425306293},{"$f":"(I68-SUM(J68:L68))*ProteinData!O8*ProteinData!N8","v":1.9773841948253836},{"$f":"(M68-SUM(N68:P68))*ProteinData!O8*ProteinData!N8","v":2.5142272564215626},{"$f":"(Q68-SUM(R68:T68))*ProteinData!O8*ProteinData!N8","v":2.7226731252608261},null,"Western Europe",{"$f":"Z68*HLOOKUP($B68,ProteinData!B13:N39,MATCH($AF$57,ProteinData!B13:B39,0),FALSE)/100","v":1.6551698779436839},{"$f":"AA68*HLOOKUP($B68,ProteinData!B13:N39,MATCH($AF$57,ProteinData!B13:B39,0),FALSE)/100","v":1.2062043588434839},{"$f":"AB68*HLOOKUP($B68,ProteinData!B13:N39,MATCH($AF$57,ProteinData!B13:B39,0),FALSE)/100","v":1.5336786264171534},{"$f":"AC68*HLOOKUP($B68,ProteinData!B13:N39,MATCH($AF$57,ProteinData!B13:B39,0),FALSE)/100","v":1.6608306064091038},null,null,4.2999999999999997E-2,0.371]
[]
[]
[null,"Chicken",null,null,"Eggs",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"'Crops & Countries'!H18","v":"Eggs"}]
[null,null,null,null,"Aggregated",null,null,null,"Backyard systems",null,null,null,"Layers",null,null,null,null,null,null,null,null,null,null,null,null,"EF by kg without LUC:",null,null,null,null,null,null,null,null,null,null,null,null,null,"Figure 28, Poultry GHGs"]
[null,null,null,null,"per kg protein (aggregated)",null,null,null,"per kg protein (backyard)",null,null,null,"per kg protein (layers)",null,null,null,null,null,null,null,null,null,null,null,null,"per kg"]
[null,"FAO Region","IFC Region",null,"EF (per kg protein)","EF (LUC feed)","EF (LUC pasture)","EF Processing","EF (per kg protein)","EF (LUC feed)","EF (LUC pasture)","EF Processing","EF (per kg protein)","EF (LUC feed)","EF (LUC pasture)","EF Processing",null,null,null,null,null,null,null,null,{"$f":"C74","v":"IFC Region"},"Aggregated","Backyard","Layers"]
[null,"Global","Global",null,{"$f":"VLOOKUP(CONCATENATE($B75,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":34.897885412152725},{"$f":"VLOOKUP(CONCATENATE($B75,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B75,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":5.6760612834548452},{"$f":"VLOOKUP(CONCATENATE($B75,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B75,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B75,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B75,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":1.8576406354730084},{"$f":"VLOOKUP(CONCATENATE($B75,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":27.988580334513031},{"$f":"VLOOKUP(CONCATENATE($B75,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B75,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B75,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B75,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B75,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B75,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B75,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":35.486602550044033},{"$f":"VLOOKUP(CONCATENATE($B75,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B75,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":6.1596981348808288},{"$f":"VLOOKUP(CONCATENATE($B75,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B75,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B75,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B75,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":2.0159235403175955},null,null,null,null,null,null,null,null,"Global",{"$f":"(E75-SUM(F75:H75))*ProteinData!Y11","v":3.3931587531598839},{"$f":"(I75-SUM(J75:L75))*ProteinData!Y11","v":3.4705839614796159},{"$f":"(M75-SUM(N75:P75))*ProteinData!Y11","v":3.3865616284808553},null,null,null,null,null,null,null,null,null,{"$f":"0.043","v":4.2999999999999997E-2},0.371]
[null,"EAST ASIA AND SOUTHEAST ASIA","East Asia and Pacific",null,{"$f":"VLOOKUP(CONCATENATE($B76,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":45.266238651688035},{"$f":"VLOOKUP(CONCATENATE($B76,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B76,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":7.5673782884112901},{"$f":"VLOOKUP(CONCATENATE($B76,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B76,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B76,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B76,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":2.3090133604339425},{"$f":"VLOOKUP(CONCATENATE($B76,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":48.82488384239462},{"$f":"VLOOKUP(CONCATENATE($B76,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B76,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B76,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B76,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B76,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B76,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B76,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":45.109833087068637},{"$f":"VLOOKUP(CONCATENATE($B76,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B76,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":7.8999711743158523},{"$f":"VLOOKUP(CONCATENATE($B76,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B76,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B76,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B76,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":2.4104965145554926},null,null,null,null,null,null,null,null,"East Asia and Pacific",{"$f":"(E76-SUM(F76:H76))*ProteinData!Y11","v":4.3883410283525075},{"$f":"(I76-SUM(J76:L76))*ProteinData!Y11","v":6.0542855964569329},{"$f":"(M76-SUM(N76:P76))*ProteinData!Y11","v":4.3151213093764644},null,null,null,null,null,null,null,null,null,{"$f":"0.043","v":4.2999999999999997E-2},0.371]
[null,"EASTERN EUROPE","Europe and Central Asia",null,{"$f":"VLOOKUP(CONCATENATE($B77,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":17.420172697899076},{"$f":"VLOOKUP(CONCATENATE($B77,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B77,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0.13505420021138756},{"$f":"VLOOKUP(CONCATENATE($B77,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B77,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B77,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B77,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0.84523923235931298},{"$f":"VLOOKUP(CONCATENATE($B77,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":16.253658328753922},{"$f":"VLOOKUP(CONCATENATE($B77,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B77,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B77,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B77,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B77,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B77,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B77,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":18.104652652926209},{"$f":"VLOOKUP(CONCATENATE($B77,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B77,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0.21430045326411187},{"$f":"VLOOKUP(CONCATENATE($B77,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B77,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B77,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B77,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":1.3412033859568755},null,null,null,null,null,null,null,null,"Europe and Central Asia",{"$f":"(E77-SUM(F77:H77))*ProteinData!Y11","v":2.0385450289007188},{"$f":"(I77-SUM(J77:L77))*ProteinData!Y11","v":2.0154536327654862},{"$f":"(M77-SUM(N77:P77))*ProteinData!Y11","v":2.0520944528994476},null,null,null,null,null,null,null,null,null,4.2999999999999997E-2,0.371]
[null,"LATIN AMERICA AND THE CARIBBEAN","Latin America and Caribbean",null,{"$f":"VLOOKUP(CONCATENATE($B78,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":28.057350609069214},{"$f":"VLOOKUP(CONCATENATE($B78,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B78,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":8.7118618263325516},{"$f":"VLOOKUP(CONCATENATE($B78,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B78,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B78,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B78,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":1.02817049056863},{"$f":"VLOOKUP(CONCATENATE($B78,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":19.310946273420907},{"$f":"VLOOKUP(CONCATENATE($B78,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B78,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B78,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B78,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B78,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B78,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B78,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":28.759340404864684},{"$f":"VLOOKUP(CONCATENATE($B78,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B78,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":9.411079226966498},{"$f":"VLOOKUP(CONCATENATE($B78,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B78,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B78,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B78,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":1.1106918519211399},null,null,null,null,null,null,null,null,"Latin America and Caribbean",{"$f":"(E78-SUM(F78:H78))*ProteinData!Y11","v":2.2713474682288362},{"$f":"(I78-SUM(J78:L78))*ProteinData!Y11","v":2.3945573379041925},{"$f":"(M78-SUM(N78:P78))*ProteinData!Y11","v":2.2614585964211535},null,null,null,null,null,null,null,null,null,4.2999999999999997E-2,0.371]
[null,"NEAR EAST AND NORTH AFRICA","Middle East and North Africa",null,{"$f":"VLOOKUP(CONCATENATE($B79,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":28.512946341970839},{"$f":"VLOOKUP(CONCATENATE($B79,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B79,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":4.8275743207221602},{"$f":"VLOOKUP(CONCATENATE($B79,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B79,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B79,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B79,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":1.6279748572546906},{"$f":"VLOOKUP(CONCATENATE($B79,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":15.362501247853844},{"$f":"VLOOKUP(CONCATENATE($B79,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B79,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B79,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B79,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B79,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B79,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B79,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":30.056088823257454},{"$f":"VLOOKUP(CONCATENATE($B79,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B79,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":5.3940673148800116},{"$f":"VLOOKUP(CONCATENATE($B79,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B79,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B79,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B79,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":1.8190100003784841},null,null,null,null,null,null,null,null,"Middle East and North Africa",{"$f":"(E79-SUM(F79:H79))*ProteinData!Y11","v":2.7351172483352548},{"$f":"(I79-SUM(J79:L79))*ProteinData!Y11","v":1.9049501547338767},{"$f":"(M79-SUM(N79:P79))*ProteinData!Y11","v":2.8325334269918709},null,null,null,null,null,null,null,null,null,4.2999999999999997E-2,0.371]
[null,"NORTH AMERICA","North America",null,{"$f":"VLOOKUP(CONCATENATE($B80,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":16.449208769673071},{"$f":"VLOOKUP(CONCATENATE($B80,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B80,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":5.7684090414436104E-2},{"$f":"VLOOKUP(CONCATENATE($B80,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B80,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B80,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B80,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":1.2781615056479461},{"$f":"VLOOKUP(CONCATENATE($B80,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":0},null,null,null,{"$f":"VLOOKUP(CONCATENATE($B80,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":16.449208769673071},{"$f":"VLOOKUP(CONCATENATE($B80,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B80,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":5.7684090414436104E-2},{"$f":"VLOOKUP(CONCATENATE($B80,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B80,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B80,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B80,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":1.2781615056479461},null,null,null,null,null,null,null,null,"North America",{"$f":"(E80-SUM(F80:H80))*ProteinData!Y11","v":1.8740570335277253},null,{"$f":"(M80-SUM(N80:P80))*ProteinData!Y11","v":1.8740570335277253},null,null,null,null,null,null,null,null,null,4.2999999999999997E-2,0.371]
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[null,"SUB-SAHARAN AFRICA","Africa",null,{"$f":"VLOOKUP(CONCATENATE($B84,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":32.89942697536523},{"$f":"VLOOKUP(CONCATENATE($B84,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B84,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":2.2206617013007359},{"$f":"VLOOKUP(CONCATENATE($B84,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B84,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B84,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B84,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":1.092008282986251},{"$f":"VLOOKUP(CONCATENATE($B84,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":26.439866158517518},{"$f":"VLOOKUP(CONCATENATE($B84,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B84,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B84,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B84,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B84,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B84,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B84,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":36.688429389245584},{"$f":"VLOOKUP(CONCATENATE($B84,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B84,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":3.5232413634806563},{"$f":"VLOOKUP(CONCATENATE($B84,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B84,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B84,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B84,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":1.7325505949992557},null,null,null,null,null,null,null,null,"Africa",{"$f":"(E84-SUM(F84:H84))*ProteinData!Y11","v":3.668757866893702},{"$f":"(I84-SUM(J84:L84))*ProteinData!Y11","v":3.278543403656172},{"$f":"(M84-SUM(N84:P84))*ProteinData!Y11","v":3.8976470414149436},null,null,null,null,null,null,null,null,null,4.2999999999999997E-2,0.371]
[null,"WESTERN EUROPE","Western Europe",null,{"$f":"VLOOKUP(CONCATENATE($B85,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":23.903965839310526},{"$f":"VLOOKUP(CONCATENATE($B85,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B85,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":6.1608952432126749},{"$f":"VLOOKUP(CONCATENATE($B85,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B85,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B85,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B85,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":1.5557513186112393},{"$f":"VLOOKUP(CONCATENATE($B85,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":10.845750729685303},{"$f":"VLOOKUP(CONCATENATE($B85,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B85,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B85,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B85,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B85,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B85,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B85,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":24.10141903874678},{"$f":"VLOOKUP(CONCATENATE($B85,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B85,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":6.2540541065758051},{"$f":"VLOOKUP(CONCATENATE($B85,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B85,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B85,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B85,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":1.5792758258128807},null,null,null,null,null,null,null,null,"Western Europe",{"$f":"(E85-SUM(F85:H85))*ProteinData!Y11","v":2.0072275904083399},{"$f":"(I85-SUM(J85:L85))*ProteinData!Y11","v":1.3448730904809776},{"$f":"(M85-SUM(N85:P85))*ProteinData!Y11","v":2.0172430491884037},null,null,null,null,null,null,null,null,null,4.2999999999999997E-2,0.371]
[]
[]
[]
["Emissions from Aquaculture"]
[]
[null,"Tuna",null,null,"Fishery",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"B91","v":"Tuna"}]
[null,null,null,null,"Aggregated",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"EF by kg without LUC:"]
[null,null,null,null,"per kg of liveweight",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"per kg of liveweight"]
[null,"FAO Region","IFC Region",null,"EF (per kg)","EF (LUC feed)","EF (LUC pasture)","EF Processing",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"C94","v":"IFC Region"},"Aggregated",null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Quantifying and mitigating greenhouse gas emissions from global aquaculture"]
[null,"Global","Global",null,{"$f":"ProteinData!$AK$77","v":3.5719999999999996},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Global",{"$f":"E95","v":3.5719999999999996},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"East Asia","East Asia and Pacific",null,{"$f":"ProteinData!$AK$77","v":3.5719999999999996},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"East Asia and Pacific",{"$f":"E96","v":3.5719999999999996},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"Eastern Europe","Europe and Central Asia",null,{"$f":"ProteinData!$AK$77","v":3.5719999999999996},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Europe and Central Asia",{"$f":"E97","v":3.5719999999999996},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"Latin America and Caribbean","Latin America and Caribbean",null,{"$f":"ProteinData!$AK$77","v":3.5719999999999996},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Latin America and Caribbean",3.5719999999999996,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"West Asia & North Africa","Middle East and North Africa",null,{"$f":"ProteinData!$AK$77","v":3.5719999999999996},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Middle East and North Africa",3.5719999999999996,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"North America","North America",null,{"$f":"ProteinData!$AK$77","v":3.5719999999999996},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"North America",3.5719999999999996,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"New Zealand and Australia",null,null,{"$f":"ProteinData!$AK$77","v":3.5719999999999996},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3.5719999999999996,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"Russian Federation",null,null,{"$f":"ProteinData!$AK$77","v":3.5719999999999996},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3.5719999999999996,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"South Asia","South Asia",null,{"$f":"ProteinData!$AK$77","v":3.5719999999999996},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"C103","v":"South Asia"},3.5719999999999996,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"Sub-Saharan Africa","Africa",null,{"$f":"ProteinData!$AK$77","v":3.5719999999999996},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Africa",3.5719999999999996,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"Western Europe","Western Europe",null,{"$f":"ProteinData!$AK$77","v":3.5719999999999996},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Western Europe",3.5719999999999996,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[]
[]
[null,"Salmon",null,null,"Aquaculture",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"B108","v":"Salmon"}]
[null,null,null,null,"Aggregated",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"EF by kg without LUC:"]
[null,null,null,null,"per kg of liveweight",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"per kg of liveweight"]
[null,"FAO Region","IFC Region",null,"EF (per kg)","EF (LUC feed)","EF (LUC pasture)","EF Processing",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"C111","v":"IFC Region"},"Aggregated",null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Quantifying and mitigating greenhouse gas emissions from global aquaculture"]
[null,"Global","Global",null,{"$f":"IF(INDEX(ProteinData!$AJ$44:$AU$44,,MATCH(MEAT_MILK_EGGS_AQUA!$B112,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$44:$AU$44,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$44:$AU$44,,MATCH(MEAT_MILK_EGGS_AQUA!$B112,ProteinData!$AJ$37:$AU$37,0)))","v":3.1751638747268753},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Global",{"$f":"E112","v":3.1751638747268753},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"East Asia","East Asia and Pacific",null,{"$f":"IF(INDEX(ProteinData!$AJ$44:$AU$44,,MATCH(MEAT_MILK_EGGS_AQUA!$B113,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$44:$AU$44,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$44:$AU$44,,MATCH(MEAT_MILK_EGGS_AQUA!$B113,ProteinData!$AJ$37:$AU$37,0)))","v":3.1751638747268753},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"East Asia and Pacific",{"$f":"E113","v":3.1751638747268753},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"Eastern Europe","Europe and Central Asia",null,{"$f":"IF(INDEX(ProteinData!$AJ$44:$AU$44,,MATCH(MEAT_MILK_EGGS_AQUA!$B114,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$44:$AU$44,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$44:$AU$44,,MATCH(MEAT_MILK_EGGS_AQUA!$B114,ProteinData!$AJ$37:$AU$37,0)))","v":2.15},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Europe and Central Asia",2.15,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"Latin America and Caribbean","Latin America and Caribbean",null,{"$f":"IF(INDEX(ProteinData!$AJ$44:$AU$44,,MATCH(MEAT_MILK_EGGS_AQUA!$B115,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$44:$AU$44,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$44:$AU$44,,MATCH(MEAT_MILK_EGGS_AQUA!$B115,ProteinData!$AJ$37:$AU$37,0)))","v":4.491606714628297},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Latin America and Caribbean",4.491606714628297,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"West Asia & North Africa","Middle East and North Africa",null,{"$f":"IF(INDEX(ProteinData!$AJ$44:$AU$44,,MATCH(MEAT_MILK_EGGS_AQUA!$B116,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$44:$AU$44,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$44:$AU$44,,MATCH(MEAT_MILK_EGGS_AQUA!$B116,ProteinData!$AJ$37:$AU$37,0)))","v":2.1386861313868613},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Middle East and North Africa",2.1386861313868613,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"North America","North America",null,{"$f":"IF(INDEX(ProteinData!$AJ$44:$AU$44,,MATCH(MEAT_MILK_EGGS_AQUA!$B117,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$44:$AU$44,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$44:$AU$44,,MATCH(MEAT_MILK_EGGS_AQUA!$B117,ProteinData!$AJ$37:$AU$37,0)))","v":2.2721893491124261},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"North America",2.2721893491124261,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"New Zealand and Australia",null,null,{"$f":"IF(INDEX(ProteinData!$AJ$44:$AU$44,,MATCH(MEAT_MILK_EGGS_AQUA!$B118,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$44:$AU$44,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$44:$AU$44,,MATCH(MEAT_MILK_EGGS_AQUA!$B118,ProteinData!$AJ$37:$AU$37,0)))","v":1.9636363636363636},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.9636363636363636,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"Russian Federation",null,null,{"$f":"IF(INDEX(ProteinData!$AJ$44:$AU$44,,MATCH(MEAT_MILK_EGGS_AQUA!$B119,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$44:$AU$44,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$44:$AU$44,,MATCH(MEAT_MILK_EGGS_AQUA!$B119,ProteinData!$AJ$37:$AU$37,0)))","v":2.2978723404255321},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.2978723404255321,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"South Asia","South Asia",null,{"$f":"IF(INDEX(ProteinData!$AJ$44:$AU$44,,MATCH(MEAT_MILK_EGGS_AQUA!$B120,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$44:$AU$44,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$44:$AU$44,,MATCH(MEAT_MILK_EGGS_AQUA!$B120,ProteinData!$AJ$37:$AU$37,0)))","v":3.1751638747268753},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"C120","v":"South Asia"},3.1751638747268753,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"Sub-Saharan Africa","Africa",null,{"$f":"IF(INDEX(ProteinData!$AJ$44:$AU$44,,MATCH(MEAT_MILK_EGGS_AQUA!$B121,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$44:$AU$44,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$44:$AU$44,,MATCH(MEAT_MILK_EGGS_AQUA!$B121,ProteinData!$AJ$37:$AU$37,0)))","v":3.1751638747268753},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Africa",3.1751638747268753,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"Western Europe","Western Europe",null,{"$f":"IF(INDEX(ProteinData!$AJ$44:$AU$44,,MATCH(MEAT_MILK_EGGS_AQUA!$B122,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$44:$AU$44,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$44:$AU$44,,MATCH(MEAT_MILK_EGGS_AQUA!$B122,ProteinData!$AJ$37:$AU$37,0)))","v":2.7185185185185183},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Western Europe",2.7185185185185183,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[]
[]
[null,"Shrimp",null,null,"Aquaculture",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"B125","v":"Shrimp"}]
[null,null,null,null,"Aggregated",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"EF by kg without LUC:"]
[null,null,null,null,"per kg of liveweight",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"per kg of liveweight"]
[null,"FAO Region","IFC Region",null,"EF (per kg)","EF (LUC feed)","EF (LUC pasture)","EF Processing",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"C128","v":"IFC Region"},"Aggregated",null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Quantifying and mitigating greenhouse gas emissions from global aquaculture"]
[null,"Global","Global",null,{"$f":"IF(INDEX(ProteinData!$AJ$45:$AU$45,,MATCH(MEAT_MILK_EGGS_AQUA!$B129,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$45:$AU$45,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$45:$AU$45,,MATCH(MEAT_MILK_EGGS_AQUA!$B129,ProteinData!$AJ$37:$AU$37,0)))","v":6.5409954751131218},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Global",{"$f":"E129","v":6.5409954751131218},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"East Asia","East Asia and Pacific",null,{"$f":"IF(INDEX(ProteinData!$AJ$45:$AU$45,,MATCH(MEAT_MILK_EGGS_AQUA!$B130,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$45:$AU$45,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$45:$AU$45,,MATCH(MEAT_MILK_EGGS_AQUA!$B130,ProteinData!$AJ$37:$AU$37,0)))","v":7.0929435944279513},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"East Asia and Pacific",{"$f":"E130","v":7.0929435944279513},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"Eastern Europe","Europe and Central Asia",null,{"$f":"IF(INDEX(ProteinData!$AJ$45:$AU$45,,MATCH(MEAT_MILK_EGGS_AQUA!$B131,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$45:$AU$45,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$45:$AU$45,,MATCH(MEAT_MILK_EGGS_AQUA!$B131,ProteinData!$AJ$37:$AU$37,0)))","v":6.5409954751131218},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Europe and Central Asia",6.5409954751131218,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"Latin America and Caribbean","Latin America and Caribbean",null,{"$f":"IF(INDEX(ProteinData!$AJ$45:$AU$45,,MATCH(MEAT_MILK_EGGS_AQUA!$B132,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$45:$AU$45,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$45:$AU$45,,MATCH(MEAT_MILK_EGGS_AQUA!$B132,ProteinData!$AJ$37:$AU$37,0)))","v":3.0546021840873636},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Latin America and Caribbean",3.0546021840873636,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"West Asia & North Africa","Middle East and North Africa",null,{"$f":"IF(INDEX(ProteinData!$AJ$45:$AU$45,,MATCH(MEAT_MILK_EGGS_AQUA!$B133,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$45:$AU$45,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$45:$AU$45,,MATCH(MEAT_MILK_EGGS_AQUA!$B133,ProteinData!$AJ$37:$AU$37,0)))","v":6.5409954751131218},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Middle East and North Africa",6.5409954751131218,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"North America","North America",null,{"$f":"IF(INDEX(ProteinData!$AJ$45:$AU$45,,MATCH(MEAT_MILK_EGGS_AQUA!$B134,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$45:$AU$45,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$45:$AU$45,,MATCH(MEAT_MILK_EGGS_AQUA!$B134,ProteinData!$AJ$37:$AU$37,0)))","v":4.5199999999999996},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"North America",4.5199999999999996,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"New Zealand and Australia",null,null,{"$f":"IF(INDEX(ProteinData!$AJ$45:$AU$45,,MATCH(MEAT_MILK_EGGS_AQUA!$B135,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$45:$AU$45,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$45:$AU$45,,MATCH(MEAT_MILK_EGGS_AQUA!$B135,ProteinData!$AJ$37:$AU$37,0)))","v":6.5409954751131218},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6.5409954751131218,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"Russian Federation",null,null,{"$f":"IF(INDEX(ProteinData!$AJ$45:$AU$45,,MATCH(MEAT_MILK_EGGS_AQUA!$B136,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$45:$AU$45,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$45:$AU$45,,MATCH(MEAT_MILK_EGGS_AQUA!$B136,ProteinData!$AJ$37:$AU$37,0)))","v":6.5409954751131218},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6.5409954751131218,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"South Asia","South Asia",null,{"$f":"IF(INDEX(ProteinData!$AJ$45:$AU$45,,MATCH(MEAT_MILK_EGGS_AQUA!$B137,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$45:$AU$45,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$45:$AU$45,,MATCH(MEAT_MILK_EGGS_AQUA!$B137,ProteinData!$AJ$37:$AU$37,0)))","v":6.3626373626373622},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"C137","v":"South Asia"},6.3626373626373622,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"Sub-Saharan Africa","Africa",null,{"$f":"IF(INDEX(ProteinData!$AJ$45:$AU$45,,MATCH(MEAT_MILK_EGGS_AQUA!$B138,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$45:$AU$45,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$45:$AU$45,,MATCH(MEAT_MILK_EGGS_AQUA!$B138,ProteinData!$AJ$37:$AU$37,0)))","v":6.5409954751131218},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Africa",6.5409954751131218,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"Western Europe","Western Europe",null,{"$f":"IF(INDEX(ProteinData!$AJ$45:$AU$45,,MATCH(MEAT_MILK_EGGS_AQUA!$B139,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$45:$AU$45,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$45:$AU$45,,MATCH(MEAT_MILK_EGGS_AQUA!$B139,ProteinData!$AJ$37:$AU$37,0)))","v":6.5409954751131218},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Western Europe",6.5409954751131218,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[]
[]
[null,"Tilapia",null,null,"Aquaculture",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"B142","v":"Tilapia"}]
[null,null,null,null,"Aggregated",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"EF by kg without LUC:"]
[null,null,null,null,"per kg of liveweight",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"per kg of liveweight"]
[null,"FAO Region","IFC Region",null,"EF (per kg)","EF (LUC feed)","EF (LUC pasture)","EF Processing",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"C145","v":"IFC Region"},"Aggregated",null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Quantifying and mitigating greenhouse gas emissions from global aquaculture"]
[null,"Global","Global",null,{"$f":"IF(INDEX(ProteinData!$AJ$46:$AU$46,,MATCH(MEAT_MILK_EGGS_AQUA!$B146,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$46:$AU$46,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$46:$AU$46,,MATCH(MEAT_MILK_EGGS_AQUA!$B146,ProteinData!$AJ$37:$AU$37,0)))","v":3.7729032258064517},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Global",{"$f":"E146","v":3.7729032258064517},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"East Asia","East Asia and Pacific",null,{"$f":"IF(INDEX(ProteinData!$AJ$46:$AU$46,,MATCH(MEAT_MILK_EGGS_AQUA!$B147,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$46:$AU$46,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$46:$AU$46,,MATCH(MEAT_MILK_EGGS_AQUA!$B147,ProteinData!$AJ$37:$AU$37,0)))","v":4.059195402298851},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"East Asia and Pacific",{"$f":"E147","v":4.059195402298851},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"Eastern Europe","Europe and Central Asia",null,{"$f":"IF(INDEX(ProteinData!$AJ$46:$AU$46,,MATCH(MEAT_MILK_EGGS_AQUA!$B148,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$46:$AU$46,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$46:$AU$46,,MATCH(MEAT_MILK_EGGS_AQUA!$B148,ProteinData!$AJ$37:$AU$37,0)))","v":3.7729032258064517},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Europe and Central Asia",3.7729032258064517,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"Latin America and Caribbean","Latin America and Caribbean",null,{"$f":"IF(INDEX(ProteinData!$AJ$46:$AU$46,,MATCH(MEAT_MILK_EGGS_AQUA!$B149,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$46:$AU$46,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$46:$AU$46,,MATCH(MEAT_MILK_EGGS_AQUA!$B149,ProteinData!$AJ$37:$AU$37,0)))","v":1.997134670487106},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Latin America and Caribbean",1.997134670487106,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"West Asia & North Africa","Middle East and North Africa",null,{"$f":"IF(INDEX(ProteinData!$AJ$46:$AU$46,,MATCH(MEAT_MILK_EGGS_AQUA!$B150,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$46:$AU$46,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$46:$AU$46,,MATCH(MEAT_MILK_EGGS_AQUA!$B150,ProteinData!$AJ$37:$AU$37,0)))","v":3.3251533742331287},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Middle East and North Africa",3.3251533742331287,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"North America","North America",null,{"$f":"IF(INDEX(ProteinData!$AJ$46:$AU$46,,MATCH(MEAT_MILK_EGGS_AQUA!$B151,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$46:$AU$46,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$46:$AU$46,,MATCH(MEAT_MILK_EGGS_AQUA!$B151,ProteinData!$AJ$37:$AU$37,0)))","v":3.7729032258064517},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"North America",3.7729032258064517,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"New Zealand and Australia",null,null,{"$f":"IF(INDEX(ProteinData!$AJ$46:$AU$46,,MATCH(MEAT_MILK_EGGS_AQUA!$B152,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$46:$AU$46,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$46:$AU$46,,MATCH(MEAT_MILK_EGGS_AQUA!$B152,ProteinData!$AJ$37:$AU$37,0)))","v":3.7729032258064517},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3.7729032258064517,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"Russian Federation",null,null,{"$f":"IF(INDEX(ProteinData!$AJ$46:$AU$46,,MATCH(MEAT_MILK_EGGS_AQUA!$B153,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$46:$AU$46,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$46:$AU$46,,MATCH(MEAT_MILK_EGGS_AQUA!$B153,ProteinData!$AJ$37:$AU$37,0)))","v":3.7729032258064517},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3.7729032258064517,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"South Asia","South Asia",null,{"$f":"IF(INDEX(ProteinData!$AJ$46:$AU$46,,MATCH(MEAT_MILK_EGGS_AQUA!$B154,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$46:$AU$46,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$46:$AU$46,,MATCH(MEAT_MILK_EGGS_AQUA!$B154,ProteinData!$AJ$37:$AU$37,0)))","v":3.7729032258064517},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"C154","v":"South Asia"},3.7729032258064517,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"Sub-Saharan Africa","Africa",null,{"$f":"IF(INDEX(ProteinData!$AJ$46:$AU$46,,MATCH(MEAT_MILK_EGGS_AQUA!$B155,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$46:$AU$46,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$46:$AU$46,,MATCH(MEAT_MILK_EGGS_AQUA!$B155,ProteinData!$AJ$37:$AU$37,0)))","v":3.2781065088757395},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Africa",3.2781065088757395,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"Western Europe","Western Europe",null,{"$f":"IF(INDEX(ProteinData!$AJ$46:$AU$46,,MATCH(MEAT_MILK_EGGS_AQUA!$B156,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$46:$AU$46,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$46:$AU$46,,MATCH(MEAT_MILK_EGGS_AQUA!$B156,ProteinData!$AJ$37:$AU$37,0)))","v":3.7729032258064517},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Western Europe",3.7729032258064517,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[]
[]
[null,"Catfish",null,null,"Aquaculture",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"B159","v":"Catfish"}]
[null,null,null,null,"Aggregated",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"EF by kg without LUC:"]
[null,null,null,null,"per kg of liveweight",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"per kg of liveweight"]
[null,"FAO Region","IFC Region",null,"EF (per kg)","EF (LUC feed)","EF (LUC pasture)","EF Processing",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"C162","v":"IFC Region"},"Aggregated",null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Quantifying and mitigating greenhouse gas emissions from global aquaculture"]
[null,"Global","Global",null,{"$f":"IF(INDEX(ProteinData!$AJ$39:$AU$39,,MATCH(MEAT_MILK_EGGS_AQUA!$B163,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$39:$AU$39,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$39:$AU$39,,MATCH(MEAT_MILK_EGGS_AQUA!$B163,ProteinData!$AJ$37:$AU$37,0)))","v":3.0981949458483755},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Global",{"$f":"E163","v":3.0981949458483755},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"East Asia","East Asia and Pacific",null,{"$f":"IF(INDEX(ProteinData!$AJ$39:$AU$39,,MATCH(MEAT_MILK_EGGS_AQUA!$B164,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$39:$AU$39,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$39:$AU$39,,MATCH(MEAT_MILK_EGGS_AQUA!$B164,ProteinData!$AJ$37:$AU$37,0)))","v":3.2455882352941177},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"East Asia and Pacific",{"$f":"E164","v":3.2455882352941177},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"Eastern Europe","Europe and Central Asia",null,{"$f":"IF(INDEX(ProteinData!$AJ$39:$AU$39,,MATCH(MEAT_MILK_EGGS_AQUA!$B165,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$39:$AU$39,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$39:$AU$39,,MATCH(MEAT_MILK_EGGS_AQUA!$B165,ProteinData!$AJ$37:$AU$37,0)))","v":3.0981949458483755},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Europe and Central Asia",3.0981949458483755,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"Latin America and Caribbean","Latin America and Caribbean",null,{"$f":"IF(INDEX(ProteinData!$AJ$39:$AU$39,,MATCH(MEAT_MILK_EGGS_AQUA!$B166,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$39:$AU$39,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$39:$AU$39,,MATCH(MEAT_MILK_EGGS_AQUA!$B166,ProteinData!$AJ$37:$AU$37,0)))","v":3.0981949458483755},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Latin America and Caribbean",3.0981949458483755,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"West Asia & North Africa","Middle East and North Africa",null,{"$f":"IF(INDEX(ProteinData!$AJ$39:$AU$39,,MATCH(MEAT_MILK_EGGS_AQUA!$B167,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$39:$AU$39,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$39:$AU$39,,MATCH(MEAT_MILK_EGGS_AQUA!$B167,ProteinData!$AJ$37:$AU$37,0)))","v":3.0981949458483755},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Middle East and North Africa",3.0981949458483755,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"North America","North America",null,{"$f":"IF(INDEX(ProteinData!$AJ$39:$AU$39,,MATCH(MEAT_MILK_EGGS_AQUA!$B168,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$39:$AU$39,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$39:$AU$39,,MATCH(MEAT_MILK_EGGS_AQUA!$B168,ProteinData!$AJ$37:$AU$37,0)))","v":2.3725490196078431},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"North America",2.3725490196078431,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"New Zealand and Australia",null,null,{"$f":"IF(INDEX(ProteinData!$AJ$39:$AU$39,,MATCH(MEAT_MILK_EGGS_AQUA!$B169,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$39:$AU$39,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$39:$AU$39,,MATCH(MEAT_MILK_EGGS_AQUA!$B169,ProteinData!$AJ$37:$AU$37,0)))","v":3.0981949458483755},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3.0981949458483755,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"Russian Federation",null,null,{"$f":"IF(INDEX(ProteinData!$AJ$39:$AU$39,,MATCH(MEAT_MILK_EGGS_AQUA!$B170,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$39:$AU$39,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$39:$AU$39,,MATCH(MEAT_MILK_EGGS_AQUA!$B170,ProteinData!$AJ$37:$AU$37,0)))","v":3.0981949458483755},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3.0981949458483755,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"South Asia","South Asia",null,{"$f":"IF(INDEX(ProteinData!$AJ$39:$AU$39,,MATCH(MEAT_MILK_EGGS_AQUA!$B171,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$39:$AU$39,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$39:$AU$39,,MATCH(MEAT_MILK_EGGS_AQUA!$B171,ProteinData!$AJ$37:$AU$37,0)))","v":2.6143250688705235},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"C171","v":"South Asia"},2.6143250688705235,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"Sub-Saharan Africa","Africa",null,{"$f":"IF(INDEX(ProteinData!$AJ$39:$AU$39,,MATCH(MEAT_MILK_EGGS_AQUA!$B172,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$39:$AU$39,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$39:$AU$39,,MATCH(MEAT_MILK_EGGS_AQUA!$B172,ProteinData!$AJ$37:$AU$37,0)))","v":2.2008368200836821},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Africa",2.2008368200836821,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]
[null,"Western Europe","Western Europe",null,{"$f":"IF(INDEX(ProteinData!$AJ$39:$AU$39,,MATCH(MEAT_MILK_EGGS_AQUA!$B173,ProteinData!$AJ$37:$AU$37,0))=0,\nINDEX(ProteinData!$AJ$39:$AU$39,,MATCH(\"Global\",ProteinData!$AJ$37:$AU$37,0)),\nINDEX(ProteinData!$AJ$39:$AU$39,,MATCH(MEAT_MILK_EGGS_AQUA!$B173,ProteinData!$AJ$37:$AU$37,0)))","v":3.0981949458483755},null,null,{"$f":"ProteinData!$AK$82","v":0.375},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Western Europe",3.0981949458483755,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ProteinData!$AK$65","v":5.997087200083507E-2},{"$f":"ProteinData!$AK$68","v":0.33454451464104462}]

{"sheet":"BEIS HGV DATA","index":50,"n_rows":45,"n_cols":19,"rows_kept":45,"cut":false,"hidden":true,"merged":[[20,3,20,6],[20,7,20,10],[20,15,20,18],[22,0,37,0],[22,1,23,1],[24,1,25,1],[26,1,27,1],[28,1,29,1],[30,1,31,1],[32,1,33,1],[34,1,35,1],[36,1,37,1],[20,11,20,14],[0,3,0,6],[0,7,0,10],[0,11,0,14],[0,15,0,18],[2,0,17,0],[2,1,3,1],[4,1,5,1],[6,1,7,1],[8,1,9,1],[10,1,11,1],[12,1,13,1],[14,1,15,1],[16,1,17,1]]}
[null,null,null,"0% Laden",null,null,null,"50% Laden",null,null,null,"100% Laden",null,null,null,"Average laden"]
["Activity","Type","Unit","kg CO2e","kg CO2","kg CH4","kg N2O","kg CO2e","kg CO2","kg CH4","kg N2O","kg CO2e","kg CO2","kg CH4","kg N2O","kg CO2e","kg CO2","kg CH4","kg N2O"]
["HGV (all diesel)","Rigid (>3.5 - 7.5 tonnes)","km",0.44542999999999999,0.43935000000000002,1E-4,5.9800000000000001E-3,0.48364000000000001,0.47755999999999998,1E-4,5.9800000000000001E-3,0.52183999999999997,0.51576,1E-4,5.9800000000000001E-3,0.48058000000000001,0.47449999999999998,1E-4,5.9800000000000001E-3]
[null,null,"miles",0.71686000000000005,0.70706999999999998,1.6000000000000001E-4,9.6200000000000001E-3,0.77834000000000003,0.76856000000000002,1.6000000000000001E-4,9.6200000000000001E-3,0.83982999999999997,0.83004,1.6000000000000001E-4,9.6200000000000001E-3,0.77342,0.76363999999999999,1.6000000000000001E-4,9.6200000000000001E-3]
[null,"Rigid (>7.5 tonnes-17 tonnes)","km",0.53561000000000003,0.5282,1.2E-4,7.2899999999999996E-3,0.61107,0.60365000000000002,1.2E-4,7.2899999999999996E-3,0.68652999999999997,0.67910999999999999,1.2E-4,7.2899999999999996E-3,0.58692,0.57950999999999997,1.2E-4,7.2899999999999996E-3]
[null,null,"miles",0.86197999999999997,0.85004999999999997,2.0000000000000001E-4,1.1730000000000001E-2,0.98341999999999996,0.97148999999999996,2.0000000000000001E-4,1.1730000000000001E-2,1.10486,1.0929199999999999,2.0000000000000001E-4,1.1730000000000001E-2,0.94455999999999996,0.93262999999999996,2.0000000000000001E-4,1.1730000000000001E-2]
[null,"Rigid (>17 tonnes)","km",0.76629000000000003,0.75417999999999996,2.0000000000000001E-4,1.191E-2,0.93184,0.91973000000000005,2.0000000000000001E-4,1.191E-2,1.0973999999999999,1.08528,2.0000000000000001E-4,1.191E-2,0.95752000000000004,0.94540999999999997,2.0000000000000001E-4,1.191E-2]
[null,null,"miles",1.23323,1.21374,3.3E-4,1.916E-2,1.49966,1.48017,3.3E-4,1.916E-2,1.7660899999999999,1.7465999999999999,3.3E-4,1.916E-2,1.54098,1.52149,3.3E-4,1.916E-2]
[null,"All rigids","km",0.66440999999999995,0.65425,1.7000000000000001E-4,9.9900000000000006E-3,0.78968000000000005,0.77951999999999999,1.7000000000000001E-4,9.9900000000000006E-3,0.91495000000000004,0.90480000000000005,1.7000000000000001E-4,9.9900000000000006E-3,0.80305000000000004,0.79288999999999998,1.7000000000000001E-4,9.9900000000000006E-3]
[null,null,"miles",1.0692600000000001,1.05291,2.7E-4,1.6070000000000001E-2,1.2708699999999999,1.2545200000000001,2.7E-4,1.6070000000000001E-2,1.47248,1.4561299999999999,2.7E-4,1.6070000000000001E-2,1.2923899999999999,1.2760400000000001,2.7E-4,1.6070000000000001E-2]
[null,"Articulated (>3.5 - 33t)","km",0.62341999999999997,0.60972999999999999,1.1E-4,1.359E-2,0.77585000000000004,0.76215999999999995,1.1E-4,1.359E-2,0.92828999999999995,0.91459999999999997,1.1E-4,1.359E-2,0.76976,0.75607000000000002,1.1E-4,1.359E-2]
[null,null,"miles",1.0033000000000001,0.98126999999999998,1.7000000000000001E-4,2.1860000000000001E-2,1.2486200000000001,1.22658,1.7000000000000001E-4,2.1860000000000001E-2,1.49393,1.4719,1.7000000000000001E-4,2.1860000000000001E-2,1.2387999999999999,1.2167699999999999,1.7000000000000001E-4,2.1860000000000001E-2]
[null,"Articulated (>33t)","km",0.65022999999999997,0.63393999999999995,1.2999999999999999E-4,1.617E-2,0.86153999999999997,0.84524999999999995,1.2999999999999999E-4,1.617E-2,1.0728599999999999,1.0565599999999999,1.2999999999999999E-4,1.617E-2,0.91647999999999996,0.90019000000000005,1.2999999999999999E-4,1.617E-2]
[null,null,"miles",1.04644,1.02023,2.0000000000000001E-4,2.6020000000000001E-2,1.38652,1.3603000000000001,2.0000000000000001E-4,2.6020000000000001E-2,1.7265900000000001,1.70038,2.0000000000000001E-4,2.6020000000000001E-2,1.4749399999999999,1.44872,2.0000000000000001E-4,2.6020000000000001E-2]
[null,"All artics","km",0.64912999999999998,0.63295000000000001,1.2999999999999999E-4,1.6060000000000001E-2,0.85802999999999996,0.84184999999999999,1.2999999999999999E-4,1.6060000000000001E-2,1.06694,1.0507500000000001,1.2999999999999999E-4,1.6060000000000001E-2,0.91047999999999996,0.89429000000000003,1.2999999999999999E-4,1.6060000000000001E-2]
[null,null,"miles",1.0446800000000001,1.0186299999999999,2.0000000000000001E-4,2.5850000000000001E-2,1.38087,1.3548199999999999,2.0000000000000001E-4,2.5850000000000001E-2,1.7170700000000001,1.69102,2.0000000000000001E-4,2.5850000000000001E-2,1.4652700000000001,1.4392199999999999,2.0000000000000001E-4,2.5850000000000001E-2]
[null,"All HGVs","km",0.65573000000000004,0.64215,1.3999999999999999E-4,1.3440000000000001E-2,0.82850999999999997,0.81491999999999998,1.3999999999999999E-4,1.3440000000000001E-2,1.0012799999999999,0.98770000000000002,1.3999999999999999E-4,1.3440000000000001E-2,0.86407,0.85048999999999997,1.3999999999999999E-4,1.3440000000000001E-2]
[null,null,"miles",1.0552999999999999,1.0334399999999999,2.3000000000000001E-4,2.162E-2,1.33335,1.31149,2.3000000000000001E-4,2.162E-2,1.6113999999999999,1.58955,2.3000000000000001E-4,2.162E-2,1.3905799999999999,1.36873,2.3000000000000001E-4,2.162E-2]
[null,null,"Average",{"$f":"AVERAGE(D3:D18)","v":0.81383125000000001},{"$f":"AVERAGE(E3:E18)","v":0.79825562500000002},1.7875000000000001E-4,1.53975E-2,1.0013631249999999,0.98578562500000011,1.7875000000000001E-4,1.53975E-2,1.1888962500000002,1.17331875,1.7875000000000001E-4,1.53975E-2,1.0256125,1.0100368750000002,1.7875000000000001E-4,1.53975E-2]
[null,null,"%",null,{"$f":"E19/D19","v":0.98086135792893181},{"$f":"F19/D19","v":2.1964012809780898E-4},{"$f":"G19/D19","v":1.8919769915446229E-2},null,{"$f":"I19/H19","v":0.9844437051743844},{"$f":"J19/H19","v":1.7850667309124253E-4},{"$f":"K19/H19","v":1.5376539854111365E-2},null,{"$f":"M19/L19","v":0.9868975110317656},{"$f":"N19/L19","v":1.5034953638721628E-4},{"$f":"O19/L19","v":1.2951088036487621E-2},null,{"$f":"Q19/P19","v":0.98481334324610914},{"$f":"R19/P19","v":1.7428609733208204E-4},{"$f":"S19/P19","v":1.5012980048507598E-2}]
[null,null,null,"0% Laden",null,null,null,"50% Laden",null,null,null,"100% Laden",null,null,null,"Average laden"]
["Activity","Type","Unit","kg CO2e","kg CO2","kg CH4","kg N2O","kg CO2e","kg CO2","kg CH4","kg N2O","kg CO2e","kg CO2","kg CH4","kg N2O","kg CO2e","kg CO2","kg CH4","kg N2O"]
["HGVs refrigerated (all diesel)","Rigid (>3.5 - 7.5 tonnes)","km",0.5302,0.52412000000000003,1E-4,5.9800000000000001E-3,0.57577999999999996,0.56969999999999998,1E-4,5.9800000000000001E-3,0.62134999999999996,0.61526999999999998,1E-4,5.9800000000000001E-3,0.57213000000000003,0.56605000000000005,1E-4,5.9800000000000001E-3]
[null,null,"miles",0.85328000000000004,0.84348999999999996,1.6000000000000001E-4,9.6200000000000001E-3,0.92662,0.91683999999999999,1.6000000000000001E-4,9.6200000000000001E-3,0.99997000000000003,0.99019000000000001,1.6000000000000001E-4,9.6200000000000001E-3,0.92076000000000002,0.91096999999999995,1.6000000000000001E-4,9.6200000000000001E-3]
[null,"Rigid (>7.5 tonnes-17 tonnes)","km",0.63751999999999998,0.63010999999999995,1.2E-4,7.2899999999999996E-3,0.72753000000000001,0.72011999999999998,1.2E-4,7.2899999999999996E-3,0.81755,0.81013999999999997,1.2E-4,7.2899999999999996E-3,0.69872999999999996,0.69132000000000005,1.2E-4,7.2899999999999996E-3]
[null,null,"miles",1.02599,1.01406,2.0000000000000001E-4,1.1730000000000001E-2,1.1708499999999999,1.15892,2.0000000000000001E-4,1.1730000000000001E-2,1.31572,1.30379,2.0000000000000001E-4,1.1730000000000001E-2,1.1245000000000001,1.11256,2.0000000000000001E-4,1.1730000000000001E-2]
[null,"Rigid (>17 tonnes)","km",0.91180000000000005,0.89968999999999999,2.0000000000000001E-4,1.191E-2,1.1092900000000001,1.09718,2.0000000000000001E-4,1.191E-2,1.3067800000000001,1.29467,2.0000000000000001E-4,1.191E-2,1.1399300000000001,1.12781,2.0000000000000001E-4,1.191E-2]
[null,null,"miles",1.4674,1.44791,3.3E-4,1.916E-2,1.7852300000000001,1.7657400000000001,3.3E-4,1.916E-2,2.1030700000000002,2.0835699999999999,3.3E-4,1.916E-2,1.83453,1.81504,3.3E-4,1.916E-2]
[null,"All rigids","km",0.79063000000000005,0.78047999999999995,1.7000000000000001E-4,9.9900000000000006E-3,0.94008000000000003,0.92991999999999997,1.7000000000000001E-4,9.9900000000000006E-3,1.08952,1.0793600000000001,1.7000000000000001E-4,9.9900000000000006E-3,0.95603000000000005,0.94586999999999999,1.7000000000000001E-4,9.9900000000000006E-3]
[null,null,"miles",1.2724,1.25606,2.7E-4,1.6070000000000001E-2,1.51291,1.4965599999999999,2.7E-4,1.6070000000000001E-2,1.7534099999999999,1.73706,2.7E-4,1.6070000000000001E-2,1.5385800000000001,1.52223,2.7E-4,1.6070000000000001E-2]
[null,"Articulated (>3.5 - 33t)","km",0.72055999999999998,0.70687,1.1E-4,1.359E-2,0.89727999999999997,0.88358999999999999,1.1E-4,1.359E-2,1.0740000000000001,1.0603100000000001,1.1E-4,1.359E-2,0.89020999999999995,0.87651999999999997,1.1E-4,1.359E-2]
[null,null,"miles",1.1596299999999999,1.1375999999999999,1.7000000000000001E-4,2.1860000000000001E-2,1.4440299999999999,1.4219999999999999,1.7000000000000001E-4,2.1860000000000001E-2,1.7284299999999999,1.7063999999999999,1.7000000000000001E-4,2.1860000000000001E-2,1.43266,1.41062,1.7000000000000001E-4,2.1860000000000001E-2]
[null,"Articulated (>33t)","km",0.75122999999999995,0.73494000000000004,1.2999999999999999E-4,1.617E-2,0.99621000000000004,0.97990999999999995,1.2999999999999999E-4,1.617E-2,1.2411799999999999,1.22489,1.2999999999999999E-4,1.617E-2,1.0599000000000001,1.0436099999999999,1.2999999999999999E-4,1.617E-2]
[null,null,"miles",1.2089799999999999,1.18276,2.0000000000000001E-4,2.6020000000000001E-2,1.60324,1.5770200000000001,2.0000000000000001E-4,2.6020000000000001E-2,1.99749,1.9712700000000001,2.0000000000000001E-4,2.6020000000000001E-2,1.70574,1.67953,2.0000000000000001E-4,2.6020000000000001E-2]
[null,"All artics","km",0.74997000000000003,0.73379000000000005,1.2999999999999999E-4,1.6060000000000001E-2,0.99216000000000004,0.97597,1.2999999999999999E-4,1.6060000000000001E-2,1.23434,1.2181500000000001,1.2999999999999999E-4,1.6060000000000001E-2,1.0529500000000001,1.03677,1.2999999999999999E-4,1.6060000000000001E-2]
[null,null,"miles",1.20696,1.18092,2.0000000000000001E-4,2.5850000000000001E-2,1.5967199999999999,1.57067,2.0000000000000001E-4,2.5850000000000001E-2,1.98648,1.9604299999999999,2.0000000000000001E-4,2.5850000000000001E-2,1.6945600000000001,1.6685099999999999,2.0000000000000001E-4,2.5850000000000001E-2]
[null,"All HGVs","km",0.76736000000000004,0.75378000000000001,1.3999999999999999E-4,1.3440000000000001E-2,0.97016999999999998,0.95659000000000005,1.3999999999999999E-4,1.3440000000000001E-2,1.1729799999999999,1.1594,1.3999999999999999E-4,1.3440000000000001E-2,1.0119199999999999,0.99834000000000001,1.3999999999999999E-4,1.3440000000000001E-2]
[null,null,"miles",1.23495,1.21309,2.3000000000000001E-4,2.162E-2,1.56134,1.53948,2.3000000000000001E-4,2.162E-2,1.8877299999999999,1.8658699999999999,2.3000000000000001E-4,2.162E-2,1.62852,1.60666,2.3000000000000001E-4,2.162E-2]
[null,null,"Average",{"$f":"AVERAGE(D23:D38)","v":0.95555374999999998},{"$f":"AVERAGE(E23:E38)","v":0.93997937499999995},1.7875000000000001E-4,1.53975E-2,1.1755900000000001,1.1600131250000001,1.7875000000000001E-4,1.53975E-2,1.3956249999999999,1.3800481250000001,1.7875000000000001E-4,1.53975E-2,1.2038531250000002,1.1882756249999999,1.7875000000000001E-4,1.53975E-2]
[null,null,null,null,{"$f":"E39/D39","v":0.98370120466797395},{"$f":"F39/D39","v":1.8706430695290558E-4},{"$f":"G39/D39","v":1.6113693238083152E-2},null,{"$f":"I39/H39","v":0.98674973842921421},{"$f":"J39/H39","v":1.5205131040583875E-4},{"$f":"K39/H39","v":1.309767861244141E-2},null,{"$f":"M39/L39","v":0.98883878190774754},{"$f":"N39/L39","v":1.2807881773399017E-4},{"$f":"O39/L39","v":1.1032691446484551E-2},null,{"$f":"Q39/P39","v":0.98706029857255195},{"$f":"R39/P39","v":1.4848156829762766E-4},{"$f":"S39/P39","v":1.2790181526504737E-2}]
[]
["Average Split",null,"CO2","CH4","N2O"]
[null,null,{"$f":"AVERAGE(E20,I20,M20,Q20,Q40,M40,I40,E40)","v":0.98542074261983492},{"$f":"AVERAGE(F20,J20,N20,R20,R40,N40,J40,F40)","v":1.6730730478733898E-4},{"$f":"AVERAGE(G20,K20,O20,S20,S40,O40,K40,G40)","v":1.4411827834758332E-2}]
[]
["Greenhouse gas reporting: conversion factors 2021 - GOV.UK (www.gov.uk)"]

{"sheet":"Emissions","index":51,"n_rows":15657,"n_cols":60,"rows_kept":281,"cut":true,"hidden":true,"merged":[[3,3,3,8],[3,13,3,18],[5,14,5,33],[8,52,16,52],[6,55,6,59],[5,55,5,59],[6,34,6,36],[8,39,16,39],[6,43,6,49],[8,1,16,1],[8,11,16,11],[6,29,6,33],[6,14,6,18],[6,19,6,23],[6,24,6,28]],"bounds":{"rows_first":125,"rows_last":31,"rows_between":125,"halvings":4}}
[]
[null,"Emissions from FAOSTAT"]
[]
[null,null,null,"Table Emissions_ALL_Countries below is a direct extract from FAO. The name of some countries (e.g. Côte d'Ivoire to Cote d'Ivoire) has been updated to match the IFC names.\nThis table feeds into the Table Emissions_TARGET_Countries.",null,null,null,null,null,null,null,null,null,"This Table Emissions_TARGET_Countries reorganize the data from Emissions_ALL_Countries.\nIt feeds into the tables in the NitrogenEmissions tab, \n",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Emissions_TARGET_Countries_TOTAL"]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,"kilotonnes",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ROUND(SUM(Emissions_TARGET_Countries[[Manure applied to Soils - Emissions (CH4)]:[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)]]),0)=ROUND(SUM(AR9:AT168,AV9:AV168,AX9:AX168),0),\"OK\",\"ERROR\")","v":{"$error":"#N/A"}},null,null,null,null,null,null,null,null,null,null,null,null,"kilotonnes"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Manure applied to Soils",null,null,null,null,"Crop Residues",null,null,null,null,"Burning - Crop residues",null,null,null,null,"Synthetic Fertilizers (in-use) \n[superseded if user inputs \"Synthetic nitrogen fertiliser applied per year\"]",null,null,null,null,"Synthetic Fertilizers (in-use) \n[superseded if user inputs \"Synthetic nitrogen fertiliser applied per year\"]",null,null,null,null,null,null,null,null,"kilotonnes",null,null,null,null,null,null,null,null,null,null,null,"Rice Cultivation"]
[null,null,null,"Area","Element","Item","CONCAT","Year","Value (kilotonnes)",null,null,null,null,"Country","Manure applied to Soils - Emissions (CH4)","Manure applied to Soils - Emissions (N2O)","Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils - Emissions (CO2eq) (AR5)","Crop Residues - Emissions (CH4)","Crop Residues - Emissions (N2O)","Crop Residues - Emissions (CO2eq) from CH4 (AR5)","Crop Residues - Emissions (CO2eq) from N2O (AR5)","Crop Residues - Emissions (CO2eq) (AR5)","Burning - Crop residues - Emissions (CH4)","Burning - Crop residues - Emissions (N2O)","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues - Emissions (CO2eq) (AR5)","Synthetic Fertilizers - Emissions (CH4)","Synthetic Fertilizers - Emissions (N2O)","Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers - Emissions (CO2eq) (AR5)","Synthetic Fertilizer manufacturing -  Emissions (N2O)","Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)",null,null,null,null,"Country","Region","Emissions (CH4)","Emissions (N2O)","Emissions (CO2eq) from CH4 (AR5)","% of CO2e from CH4","Emissions (CO2eq) from N2O (AR5)","% of CO2e from N2O","Emissions (CO2eq) (AR5)","Column1",null,null,null,"Country","Rice Cultivation - Emissions (CH4)","Rice Cultivation - Emissions (N2O)","Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)","Rice Cultivation - Emissions (CO2eq) from N2O (AR5)","Rice Cultivation - Emissions (CO2eq) (AR5)"]
[null,"FAOSTAT data,\n with emissions data, \nfor all countries (2017-21)\n-->",null,"Afghanistan","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2017,1.3003,null,null,"FAOSTAT data,\n with emissions data, \nfor TARGET countries (5 year average)\n-->",null,"Algeria",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (N2O)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0.54737999999999998},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":145.0557},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (CO2eq) (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":145.0557},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (N2O)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":1.3814599999999999},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (CO2eq) from N2O (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":366.08689999999996},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (CO2eq) (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":366.08689999999996},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":2.0049599999999996},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (N2O)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":5.1980000000000005E-2},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":56.138879999999993},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":13.774699999999999},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (CO2eq) (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":69.913579999999996},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Synthetic Fertilizers - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"INDEX(synthFertTotalEmissions[Synthetic Fertilizers - Emissions (N2O)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"INDEX(synthFertTotalEmissions[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":0},{"$f":"INDEX(synthFertTotalEmissions[Synthetic Fertilizers - Emissions (CO2eq) (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":0},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (N2O)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},null,null,"FAOSTAT data,\nwith TOTAL emissions data, \nfor TARGET countries (5 year average)\n-->",null,"Algeria",{"$f":"INDEX(Countries[Region],MATCH(Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Countries[Country],0))","v":"Middle East and North Africa"},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":2.0049599999999996},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":56.138879999999993},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":{"$error":"#N/A"}},null,null,"FAOSTAT data,\n with emissions data, \nfor TARGET countries just RICE (5 year average)\n-->",null,"Algeria",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":4.7280000000000003E-2},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (N2O)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":1.3238399999999999},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CO2eq) (AR5)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":1.3238399999999999}]
[null,null,null,"Afghanistan","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2017,344.5795,null,null,null,null,"Angola",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (N2O)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":1.2522199999999999},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":331.8383},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (CO2eq) (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":331.8383},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (N2O)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0.85917999999999994},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (CO2eq) from N2O (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":227.68270000000001},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (CO2eq) (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":227.68270000000001},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":7.2821799999999994},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (N2O)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0.18880000000000002},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":203.90104000000002},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":50.031999999999996},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (CO2eq) (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":253.93303999999998},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Synthetic Fertilizers - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"INDEX(synthFertTotalEmissions[Synthetic Fertilizers - Emissions (N2O)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"INDEX(synthFertTotalEmissions[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":0},{"$f":"INDEX(synthFertTotalEmissions[Synthetic Fertilizers - Emissions (CO2eq) (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":0},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (N2O)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},null,null,null,null,"Angola",{"$f":"INDEX(Countries[Region],MATCH(Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":7.2821799999999994},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":203.90104000000002},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":{"$error":"#N/A"}},null,null,null,null,"Angola",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":2.5148199999999998},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":6.9140000000000007E-2},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - 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Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - 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Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":{"$error":"#N/A"}},null,null,null,null,"Belgium",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - 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Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (CO2eq) from N2O (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":6.8051999999999992},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (CO2eq) (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":6.8051999999999992},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0.13203999999999999},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (N2O)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":3.4199999999999994E-3},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":3.6971199999999995},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0.90630000000000011},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (CO2eq) (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":4.6034199999999998},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Synthetic Fertilizers - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"INDEX(synthFertTotalEmissions[Synthetic Fertilizers - Emissions (N2O)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"INDEX(synthFertTotalEmissions[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":0},{"$f":"INDEX(synthFertTotalEmissions[Synthetic Fertilizers - Emissions (CO2eq) (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":0},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (N2O)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},null,null,null,null,"Belize",{"$f":"INDEX(Countries[Region],MATCH(Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":0.13203999999999999},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":3.6971199999999995},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":{"$error":"#N/A"}},null,null,null,null,"Belize",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":8.3059999999999995E-2},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - 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Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":{"$error":"#N/A"}},null,null,null,null,"Burundi",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":3.6209600000000002},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":8.4160000000000013E-2},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":2.3564800000000004},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":{"$error":"#N/A"}},null,null,null,null,"Cabo Verde",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":2.7540800000000005},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":77.114240000000024},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":{"$error":"#N/A"}},null,null,null,null,"Colombia",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":115.87163999999999},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - 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Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - 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Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":0.86012},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":24.083359999999999},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":1.166E-2},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":0.32647999999999994},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":{"$error":"#N/A"}},null,null,null,null,"Cyprus",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":1.11358},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":31.180240000000005},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":{"$error":"#N/A"}},null,null,null,null,"Czech Republic",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":9.8262200000000011},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":275.13416000000001},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - 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Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":16.327359999999999},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":{"$error":"#N/A"}},null,null,null,null,"Denmark",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - 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Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"INDEX(synthFertTotalEmissions[Synthetic Fertilizers - Emissions (N2O)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"INDEX(synthFertTotalEmissions[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":0},{"$f":"INDEX(synthFertTotalEmissions[Synthetic Fertilizers - Emissions (CO2eq) (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":0},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (N2O)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},null,null,null,null,"Dominica",{"$f":"INDEX(Countries[Region],MATCH(Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":7.7999999999999999E-4},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":2.1840000000000002E-2},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":{"$error":"#N/A"}},null,null,null,null,"Dominica",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":0},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - 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Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":{"$error":"#N/A"}},null,null,null,null,"Estonia",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - 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[null,null,null,"Afghanistan","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2020,23.929500000000001,null,null,null,null,"Eswatini",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (N2O)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":4.1919999999999999E-2},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":11.1088},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (CO2eq) (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":11.1088},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (N2O)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":2.274E-2},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (CO2eq) from N2O (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":6.0260999999999996},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (CO2eq) (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":6.0260999999999996},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0.30486000000000002},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (N2O)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":7.92E-3},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":8.5360799999999983},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":2.0987999999999998},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (CO2eq) (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":10.634879999999999},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Synthetic Fertilizers - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"INDEX(synthFertTotalEmissions[Synthetic Fertilizers - Emissions (N2O)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"INDEX(synthFertTotalEmissions[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":0},{"$f":"INDEX(synthFertTotalEmissions[Synthetic Fertilizers - Emissions (CO2eq) (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":0},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (N2O)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},null,null,null,null,"Eswatini",{"$f":"INDEX(Countries[Region],MATCH(Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":0.30486000000000002},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":8.5360799999999983},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":{"$error":"#N/A"}},null,null,null,null,"Eswatini",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":2.2459999999999997E-2},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (N2O)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":0.62887999999999999},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CO2eq) (AR5)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":0.62887999999999999}]
[null,null,null,"Afghanistan","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2020,121.4423,null,null,null,null,"Ethiopia",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (N2O)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":2.6079599999999998},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":8.9700600000000001},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":8.6980000000000002E-2},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":2.4354399999999998},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":0.18676000000000004},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":5.2292799999999993},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":0.25457999999999997},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":7.1282400000000008},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":{"$error":"#N/A"}},null,null,null,null,"Georgia",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - 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Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":{"$error":"#N/A"}},null,null,null,null,"Ghana",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":21.513920000000002},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - 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Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (CO2eq) from N2O (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":173.57499999999999},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (CO2eq) (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":173.57499999999999},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0.78635999999999995},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - 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 Emissions (N2O)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},null,null,null,null,"Greece",{"$f":"INDEX(Countries[Region],MATCH(Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":0.78635999999999995},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":22.018080000000001},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":{"$error":"#N/A"}},null,null,null,null,"Greece",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":16.338779999999996},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":1.2399999999999998E-3},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":3.7442599999999997},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":104.83928},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":{"$error":"#N/A"}},null,null,null,null,"Hungary",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":0.78708},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":3.8905199999999995},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":108.93456},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":0},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":0},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - 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Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (CO2eq) from N2O (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":7.7326999999999995},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (CO2eq) (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":7.7326999999999995},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":1.434E-2},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":1.434E-2},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":0.40151999999999993},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":{"$error":"#N/A"}},null,null,null,null,"Luxembourg",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":4.9186400000000008},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":137.72192000000001},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":5.4000000000000001E-4},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":1.512E-2},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":{"$error":"#N/A"}},null,null,null,null,"Malta",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (N2O)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CO2eq) (AR5)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":0}]
[null,null,null,"Albania","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2019,0.14099999999999999,null,null,null,null,"Marshall Islands",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (N2O)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (CO2eq) (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (N2O)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (CO2eq) from N2O (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (CO2eq) (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (N2O)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (CO2eq) (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Synthetic Fertilizers - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"INDEX(synthFertTotalEmissions[Synthetic Fertilizers - Emissions (N2O)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"INDEX(synthFertTotalEmissions[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":0},{"$f":"INDEX(synthFertTotalEmissions[Synthetic Fertilizers - Emissions (CO2eq) (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":0},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (N2O)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},null,null,null,null,"Marshall Islands",null,{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":0},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":0},{"$f":"AVERAGEIF(Emissions_TARGET_Countries_TOTAL[Region], \"East Asia and Pacific\",Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"AVERAGEIF(Emissions_TARGET_Countries_TOTAL[Region], \"East Asia and Pacific\",Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":{"$error":"#N/A"}},"* Marshall Islands uses regional averages",null,null,null,"Marshall Islands",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":21.209799999999998},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":593.87440000000004},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":{"$error":"#N/A"}},null,null,null,null,"Mexico",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":4.8919200000000007},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":2.9999999999999997E-4},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":8.3999999999999995E-3},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":{"$error":"#N/A"}},null,null,null,null,"Micronesia (Federated States of)",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":2.264E-2},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - 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 Emissions (N2O)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},null,null,null,null,"Moldova",{"$f":"INDEX(Countries[Region],MATCH(Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":0},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":0},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":{"$error":"#N/A"}},null,null,null,null,"Moldova",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - 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Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":{"$error":"#N/A"}},null,null,null,null,"Netherlands",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - 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 Emissions (N2O)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},null,null,null,null,"New Zealand",{"$f":"INDEX(Countries[Region],MATCH(Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":9.2960000000000001E-2},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":2.6028799999999999},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":23.219019999999997},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":650.13256000000001},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":{"$error":"#N/A"}},null,null,null,null,"Nigeria",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":463.19584000000003},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":0.35677999999999999},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":9.9898400000000009},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - 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 Emissions (N2O)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],defaultNorYield[Country],0))","v":{"$error":"#N/A"}},null,null,null,null,"Papua New Guinea",{"$f":"INDEX(Countries[Region],MATCH(Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":2.7839999999999997E-2},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":0.7795200000000001},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":3.7368200000000003},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":104.63096},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - 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Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":8.0141600000000004},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":{"$error":"#N/A"}},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":{"$error":"#N/A"}},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":{"$error":"#N/A"}},null,null,null,null,"Portugal",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":14.356339999999999},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (N2O)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":401.97752000000003},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CO2eq) (AR5)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":401.97752000000003}]
[null,null,null,"Algeria","Emissions (CO2eq) from CH4 (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)",2018,1.2684]
[null,null,null,"Angola","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2020,205.9316]
[null,null,null,"Argentina","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2021,7284.4260000000004]
[null,null,null,"Armenia","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2021,27.851500000000001]
[null,null,null,"Austria","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2018,247.2715]
[null,null,null,"Azerbaijan","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2017,0.31290000000000001]
[null,null,null,"Bahrain","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2020,1.113]
[null,null,null,"Barbados","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2017,1E-4]
[null,null,null,"Belgium","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2017,185.71199999999999]
[null,null,null,"Belize","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2021,3.9872000000000001]
[null,null,null,"Bermuda","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2018,1.6000000000000001E-3]
[null,null,null,"Bolivia (Plurinational State of)","Emissions (CO2eq) from CH4 (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)",2021,350.33879999999999]
[null,null,null,"Bosnia and Herzegovina","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2020,1.2841]
[null,null,null,"Brazil","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2020,71.980999999999995]
[null,null,null,"Bulgaria","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2017,2.0478999999999998]
[null,null,null,"Burkina Faso","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2018,7.7799999999999994E-2]
[null,null,null,"Burundi","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2019,0.1434]
[null,null,null,"Cambodia","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2019,153.28880000000001]
[null,null,null,"Cameroon","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2019,231.875]
[null,null,null,"Central African Republic","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2018,8.8999999999999999E-3]
[null,null,null,"Chad","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2017,16.695]
[null,null,null,"China","Emissions (CH4)","Rice Cultivation","Rice Cultivation - Emissions (CH4)",2021,5295.8324000000002]
[null,null,null,"China, Hong Kong SAR","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2019,7.8970000000000002]
[null,null,null,"China, mainland","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2020,121611.0705]
[null,null,null,"Colombia","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2018,6.8699999999999997E-2]
[null,null,null,"Comoros","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2017,0]
[null,null,null,"Cook Islands","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2019,7.9500000000000001E-2]
[null,null,null,"Cote d'Ivoire","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2017,17.516500000000001]
[null,null,null,"Croatia","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2021,563.84050000000002]
[null,null,null,"Cyprus","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2021,0.44350000000000001]
[null,null,null,"Democratic People's Republic of Korea","Emissions (CO2eq) (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) (AR5)",2018,2350.4096]
[null,null,null,"Democratic Republic of the Congo","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2017,104.0125]
[null,null,null,"Djibouti","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2019,0]
[null,null,null,"Dominican Republic","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2019,59.863500000000002]
[null,null,null,"Ecuador","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2019,10.096500000000001]
[null,null,null,"Egypt","Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)",2021,7349.0065000000004]
[null,null,null,"Eritrea","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2018,28.9115]
[null,null,null,"Estonia","Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)",2018,214.46449999999999]
[null,null,null,"Ethiopia","Emissions (CO2eq) from CH4 (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)",2020,245.19880000000001]
[null,null,null,"Fiji","Emissions (CO2eq) from CH4 (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)",2018,9.2119999999999997]
[null,null,null,"Finland","Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)",2018,763.57100000000003]
[null,null,null,"French Guiana","Emissions (CO2eq) from CH4 (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)",2020,0]
[null,null,null,"Gabon","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2017,2.8885000000000001]
[null,null,null,"Gambia","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2018,4.718]
[null,null,null,"Germany","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2019,9.6135999999999999]
[null,null,null,"Ghana","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2019,0.53739999999999999]
[null,null,null,"Greenland","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2021,5.0000000000000001E-4]
[null,null,null,"Guadeloupe","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2019,0]
[null,null,null,"Guinea","Emissions (CH4)","Rice Cultivation","Rice Cultivation - Emissions (CH4)",2019,195.46950000000001]
[null,null,null,"Haiti","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2020,36.702500000000001]
[null,null,null,"Honduras","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2021,2.86E-2]
[null,null,null,"Iceland","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2017,0.58299999999999996]
[null,null,null,"India","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2019,104084.92449999999]
[null,null,null,"Iran (Islamic Republic of)","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2017,55.464500000000001]
[null,null,null,"Iraq","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2021,92.962000000000003]
[null,null,null,"Israel","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2021,2.7195999999999998]
[null,null,null,"Jamaica","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2018,0.34449999999999997]
[null,null,null,"Japan","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2019,6.3500000000000001E-2]
[null,null,null,"Kazakhstan","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2020,1532.9455]
[null,null,null,"Kenya","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2020,171.04920000000001]
[null,null,null,"Kuwait","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2021,38.954999999999998]
[null,null,null,"Lao People's Democratic Republic","Emissions (CO2eq) (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) (AR5)",2019,2340.2903999999999]
[null,null,null,"Latvia","Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)",2018,411.28]
[null,null,null,"Lesotho","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2018,13.515000000000001]
[null,null,null,"Libya","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2020,22.736999999999998]
[null,null,null,"Lithuania","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2019,3.7187999999999999]
[null,null,null,"Madagascar","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2020,7.7799999999999994E-2]
[null,null,null,"Malaysia","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2017,0.64649999999999996]
[null,null,null,"Maldives","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2021,0]
[null,null,null,"Malta","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2018,0]
[null,null,null,"Mauritania","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2018,34.423499999999997]
[null,null,null,"Mauritius","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2020,7.6899999999999996E-2]
[null,null,null,"Mexico","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2020,7874.4750000000004]
[null,null,null,"Mongolia","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2020,9.9428000000000001]
[null,null,null,"Morocco","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2018,721.62149999999997]
[null,null,null,"Mozambique","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2019,0.12870000000000001]
[null,null,null,"Myanmar","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2020,2607.3085000000001]
[null,null,null,"Nepal","Emissions (CO2eq) (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) (AR5)",2017,4552.0888000000004]
[null,null,null,"Netherlands","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2021,1647.6375]
[null,null,null,"New Zealand","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2021,0.66249999999999998]
[null,null,null,"Niger","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2018,544.04499999999996]
[null,null,null,"Nigeria","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2019,24.000800000000002]
[null,null,null,"North Macedonia","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2021,0.1638]
[null,null,null,"Oman","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2018,2.7029999999999998]
[null,null,null,"Pakistan","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2018,5425.8485000000001]
[null,null,null,"Panama","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2020,32.488999999999997]
[null,null,null,"Papua New Guinea","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2020,6.9999999999999999E-4]
[null,null,null,"Peru","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2017,325.07549999999998]
[null,null,null,"Philippines","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2018,410.96440000000001]
[null,null,null,"Portugal","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2018,0.21290000000000001]
[null,null,null,"Puerto Rico","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2019,0]
[null,null,null,"Republic of Korea","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2021,1.1398999999999999]
[null,null,null,"Republic of Moldova","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2021,0.57609999999999995]
[null,null,null,"Romania","Emissions (CH4)","Rice Cultivation","Rice Cultivation - Emissions (CH4)",2019,2.0804]
[null,null,null,"Russian Federation","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2017,6856.0535]
[null,null,null,"Saint Kitts and Nevis","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2021,0]
[null,null,null,"Saint Lucia","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2019,1.5369999999999999]
[null,null,null,"Samoa","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2019,5.0614999999999997]
[null,null,null,"Saudi Arabia","Emissions (CO2eq) (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) (AR5)",2017,0.97160000000000002]
[null,null,null,"Senegal","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2021,9.2219999999999995]
[null,null,null,"Seychelles","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2019,0.34449999999999997]
[null,null,null,"Singapore","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2019,0]
[null,null,null,"Slovenia","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2020,35.907499999999999]
[null,null,null,"Solomon Islands","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2020,3.0474999999999999]
[null,null,null,"South Africa","Emissions (CO2eq) from CH4 (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)",2018,8.68]
[null,null,null,"South Sudan","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2018,327.9375]
[null,null,null,"Sri Lanka","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2020,321.52449999999999]
[null,null,null,"Sudan","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2020,1.4E-2]
[null,null,null,"Sweden","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2017,352.42349999999999]
[null,null,null,"Switzerland","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2021,1.6158999999999999]
[null,null,null,"Tajikistan","Emissions (CO2eq) from CH4 (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)",2019,76.277600000000007]
[null,null,null,"Thailand","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2018,3.7545000000000002]
[null,null,null,"Togo","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2020,0.42970000000000003]
[null,null,null,"Trinidad and Tobago","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2018,0.29149999999999998]
[null,null,null,"Tunisia","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2017,0.35189999999999999]
[null,null,null,"Turkmenistan","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2019,0.47520000000000001]
[null,null,null,"Uganda","Emissions (CO2eq) from CH4 (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)",2017,140.13999999999999]
[null,null,null,"Ukraine","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2021,629.52959999999996]
[null,null,null,"United Kingdom","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2018,52.858400000000003]
[null,null,null,"United Republic of Tanzania","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2018,2.9464000000000001]
[null,null,null,"Uruguay","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2021,1.3211999999999999]
[null,null,null,"Uzbekistan","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2021,44.461199999999998]
[null,null,null,"Venezuela (Bolivarian Republic of)","Emissions (CH4)","Rice Cultivation","Rice Cultivation - Emissions (CH4)",2019,37.863300000000002]
[null,null,null,"Viet Nam","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2017,1743.9915000000001]
[null,null,null,"Zimbabwe","Emissions (CO2eq) (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) (AR5)",2017,6.944]
[null,null,null,"Zimbabwe","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2021,95.739199999999997]
[null,null,null,"Zimbabwe","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2017,0.31830000000000003]
[null,null,null,"Zimbabwe","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2017,84.349500000000006]
[null,null,null,"Zimbabwe","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2017,84.349500000000006]
[null,null,null,"Zimbabwe","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2018,0.32150000000000001]
[null,null,null,"Zimbabwe","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2018,85.197500000000005]
[null,null,null,"Zimbabwe","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2018,85.197500000000005]
[null,null,null,"Zimbabwe","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2019,0.30049999999999999]
[null,null,null,"Zimbabwe","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2019,79.632499999999993]
[null,null,null,"Zimbabwe","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2019,79.632499999999993]
[null,null,null,"Zimbabwe","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2020,0.3216]
[null,null,null,"Zimbabwe","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2020,85.224000000000004]
[null,null,null,"Zimbabwe","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2020,85.224000000000004]
[null,null,null,"Zimbabwe","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2021,0.33500000000000002]
[null,null,null,"Zimbabwe","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2021,88.775000000000006]
[null,null,null,"Zimbabwe","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2021,88.775000000000006]
[null,null,null,"Zimbabwe","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2017,1.3533999999999999]
[null,null,null,"Zimbabwe","Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)",2017,358.65100000000001]
[null,null,null,"Zimbabwe","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2017,358.65100000000001]
[null,null,null,"Zimbabwe","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2018,1.0431999999999999]
[null,null,null,"Zimbabwe","Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)",2018,276.44799999999998]
[null,null,null,"Zimbabwe","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2018,276.44799999999998]
[null,null,null,"Zimbabwe","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2019,1.0431999999999999]
[null,null,null,"Zimbabwe","Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)",2019,276.44799999999998]
[null,null,null,"Zimbabwe","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2019,276.44799999999998]
[null,null,null,"Zimbabwe","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2020,0.81830000000000003]
[null,null,null,"Zimbabwe","Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)",2020,216.84950000000001]
[null,null,null,"Zimbabwe","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2020,216.84950000000001]
[null,null,null,"Zimbabwe","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2021,0.81830000000000003]
[null,null,null,"Zimbabwe","Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)",2021,216.84950000000001]
[null,null,null,"Zimbabwe","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2021,216.84950000000001]

{"sheet":"Crops","index":52,"n_rows":99595,"n_cols":58,"rows_kept":281,"cut":true,"hidden":true,"merged":[[2,1,8,1],[2,11,8,11],[2,23,10,23],[2,32,10,32],[2,40,10,40]],"bounds":{"rows_first":125,"rows_last":31,"rows_between":125,"halvings":4}}
[null,null,"ALL_Countries_ALL_Crops_5_Years",null,null,null,null,null,null,null,null,null,null,"ALL_Countries_ALL_Crops_AVERAGE",null,null,null,null,null,null,null,null,null,null,null,null,null,"TO DELETE",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"TO DELETE"]
[null,null,"Area","Element","Item","CONCAT","Year","Unit","Value",null,null,null,null,"Area","Item","CONCAT","Production (t)","Area harvested (ha)","Corresponding Clune&Poore crop name","Crop name for Clune&Poore list:","Corresponding IFC country:",null,null,null,null,"Area","Item","CONCAT","Production (t)","Area harvested (ha)",null,null,null,null,"Area","Item","Production (t)","Area harvested (ha)",null,null,null,null,"Area","Item","CONCAT","Production (t)","Area harvested (ha)"]
[null,"FAOSTAT data,\n with production data, \nfor all countries, \nall crops for years 2017-2021\n-->","Afghanistan","Area harvested","Almonds, in shell","AfghanistanAlmonds, in shell",2017,"ha",19793,null,null,"FAOSTAT data,\n with production data, \nfor all countries, \nall crops (5 year average)\n-->",null,"Afghanistan","Almonds, in shell","AfghanistanAlmonds, in shell",{"$f":"IFERROR(AVERAGEIFS(I:I,F:F,P3,H:H,\"t\"),0)","v":40694.400000000001},{"$f":"IFERROR(AVERAGEIFS(I:I,F:F,P3,H:H,\"ha\"),0)","v":25609},"Almonds",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Almonds"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,"FAOSTAT data,\n with production data, \nfor target countries, \nall crops (3 year average)\n-->",null,"Angola","Agave fibres nes","AngolaAgave fibres nes",0,0,null,null,"FAOSTAT data,\n with production data, \nfor target countries, just RICE (5 year average)\n-->",null,"Angola","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":10061.6},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":8981.4},null,null,"FAOSTAT data,\n with production data, \nfor target countries, TARGET CROPS (3 year average)\n-->",null,"Angola","Almonds","AngolaAlmonds",0,0,null,null,"Almonds",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX3,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":396718.66666666669},null,null,null,null,null,"Row Labels","Count of Item"]
[null,null,"Afghanistan","Production","Almonds, in shell","AfghanistanAlmonds, in shell",2017,"t",27291,null,null,null,null,"Afghanistan","Anise, badian, coriander, cumin, caraway, fennel and juniper berries, raw","AfghanistanAnise, badian, coriander, cumin, caraway, fennel and juniper berries, raw",17948.018000000004,25517.599999999999,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Anise, badian, coriander, cumin, caraway, fennel and juniper berries, raw"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Almonds","AngolaAlmonds",0,0,null,null,null,null,"Benin","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":415071.66600000008},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":109580.6},null,null,null,null,"Angola","Apples","AngolaApples",0,0,null,null,"Apples",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX4,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":57438487.333333328},null,null,null,null,null,"Angola",161]
[null,null,"Afghanistan","Area harvested","Almonds, in shell","AfghanistanAlmonds, in shell",2018,"ha",20053,null,null,null,null,"Afghanistan","Apples","AfghanistanApples",246097.6,27778.6,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Apples"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Anise, badian, fennel, coriander","AngolaAnise, badian, fennel, coriander",0,0,null,null,null,null,"Botswana","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":""},null,null,null,null,"Angola","Avocados","AngolaAvocados",0,0,null,null,"Avocados",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX5,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":6172936.6666666651},null,null,null,null,null,"Antigua and Barbuda",162]
[null,null,"Afghanistan","Production","Almonds, in shell","AfghanistanAlmonds, in shell",2018,"t",34413,null,null,null,null,"Afghanistan","Apricots","AfghanistanApricots",141908.6,19771.8,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Apricots"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Apples","AngolaApples",0,0,null,null,null,null,"Burkina Faso","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":390984.05},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":185215.4},null,null,null,null,"Angola","Bananas","AngolaBananas",3968981,157954.66666666666,null,null,"Bananas",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX6,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":114088704.66666664},null,null,null,null,null,"Argentina",162]
[null,null,"Afghanistan","Area harvested","Almonds, in shell","AfghanistanAlmonds, in shell",2019,"ha",29203,null,null,null,null,"Afghanistan","Barley","AfghanistanBarley",93642.2,72553.600000000006,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Barley"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Apricots","AngolaApricots",0,0,null,null,null,null,"Burundi","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":137760.96000000002},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":53243.199999999997},null,null,null,null,"Angola","Barley","AngolaBarley",0,0,null,null,"Barley",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX7,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":34592035.666666664},null,null,null,null,null,"Bahamas",162]
[null,null,"Afghanistan","Production","Almonds, in shell","AfghanistanAlmonds, in shell",2019,"t",38205,null,null,null,null,"Afghanistan","Cantaloupes and other melons","AfghanistanCantaloupes and other melons",588360.11999999988,49143.8,"Melons, other (inc.cantaloupes)",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Melons, other (inc.cantaloupes)"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Areca nuts","AngolaAreca nuts",0,0,null,null,null,null,"Cabo Verde","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":""},null,null,null,null,"Angola","Beans","AngolaBeans (dry)",330865.33333333331,826393.66666666663,null,null,"Beans",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX8,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":24811745.999999996},null,null,null,null,null,"Bangladesh",162]
[null,null,"Afghanistan","Area harvested","Almonds, in shell","AfghanistanAlmonds, in shell",2020,"ha",22134,null,null,null,null,"Afghanistan","Figs","AfghanistanFigs",23500.633999999998,4018.4,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Figs"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Artichokes","AngolaArtichokes",0,0,null,null,null,null,"Cameroon","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":302611.56800000003},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":137343.4},null,null,null,null,"Angola","Buckwheat","AngolaBuckwheat",0,0,null,null,"Buckwheat",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX9,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":822370.33333333326},null,null,null,null,null,"Barbados",162]
[null,null,"Afghanistan","Production","Almonds, in shell","AfghanistanAlmonds, in shell",2020,"t",39307,null,null,null,null,"Afghanistan","Grapes","AfghanistanGrapes",1001621,89906.6,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Grapes"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Asparagus","AngolaAsparagus",0,0,null,null,null,null,"Central African Republic","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":27058.6},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":25159.200000000001},null,null,null,null,"Angola","Carrots","AngolaCarrots and turnips",0,0,null,null,"Carrots",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX10,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":28502796.166666649},null,null,null,null,null,"Belize",162]
[null,null,"Afghanistan","Area harvested","Almonds, in shell","AfghanistanAlmonds, in shell",2021,"ha",36862,null,null,null,null,"Afghanistan","Linseed","AfghanistanLinseed",35301.288,32681.200000000001,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Linseed"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Avocados","AngolaAvocados",0,0,null,null,null,null,"Chad","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":266871.48},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":188489.4},null,null,null,null,"Angola","Cashew nuts","AngolaCashew nuts",2033,2703.3333333333335,null,null,"Cashew nuts",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX11,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":3817149.3333333316},null,null,null,null,null,"Benin",162]
[null,null,"Afghanistan","Production","Almonds, in shell","AfghanistanAlmonds, in shell",2021,"t",64256,null,null,null,null,"Afghanistan","Maize (corn)","AfghanistanMaize (corn)",200268.6,116229.2,"Maize",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Maize"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Bambara beans","AngolaBambara beans",0,0,null,null,null,null,"Comoros","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":5.6},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":18.8},null,null,null,null,"Angola","Cassava","AngolaCassava",8685898,966662,null,null,"Cassava",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX12,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":289150740.66666675},null,null,null,null,null,"Bhutan",162]
[null,null,"Afghanistan","Area harvested","Anise, badian, coriander, cumin, caraway, fennel and juniper berries, raw","AfghanistanAnise, badian, coriander, cumin, caraway, fennel and juniper berries, raw",2017,"ha",26160,null,null,null,null,"Afghanistan","Millet","AfghanistanMillet",2600.1559999999999,1613.4,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Millet"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Bananas","AngolaBananas",3968981,157954.66666666666,null,null,null,null,"Congo","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":1111.758},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":1906},null,null,null,null,"Angola","Chickpeas","AngolaChickpeas ",0,0,null,null,"Chickpeas",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX13,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":12852457.333333334},null,null,null,null,null,"Bolivia (Plurinational State of)",162]
[null,null,"Afghanistan","Production","Anise, badian, coriander, cumin, caraway, fennel and juniper berries, raw","AfghanistanAnise, badian, coriander, cumin, caraway, fennel and juniper berries, raw",2017,"t",18234.12,null,null,null,null,"Afghanistan","Mustard seed","AfghanistanMustard seed",1207.4000000000001,1205.8,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Mustard seed"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Barley","AngolaBarley",0,0,null,null,null,null,"Cote d'Ivoire","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":1830196.6},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":661476.80000000005},null,null,null,null,"Angola","Cocoa","AngolaCocoa, beans",431,2754.6666666666665,null,null,"Cocoa",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX14,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":5462164.6666666651},null,null,null,null,null,"Bosnia and Herzegovina",162]
[null,null,"Afghanistan","Area harvested","Anise, badian, coriander, cumin, caraway, fennel and juniper berries, raw","AfghanistanAnise, badian, coriander, cumin, caraway, fennel and juniper berries, raw",2018,"ha",25220,null,null,null,null,"Afghanistan","Olives","AfghanistanOlives",7654.4160000000002,2207.6,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Olives"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Bastfibres, other","AngolaBastfibres, other",828,1206,null,null,null,null,"Democratic Republic of the Congo","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":1387126.8},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":1406521},null,null,null,null,"Angola","Coffee","AngolaCoffee, green",14855.333333333334,48853,null,null,"Coffee",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX15,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":9889648.3333333321},null,null,null,null,null,"Botswana",162]
[null,null,"Afghanistan","Production","Anise, badian, coriander, cumin, caraway, fennel and juniper berries, raw","AfghanistanAnise, badian, coriander, cumin, caraway, fennel and juniper berries, raw",2018,"t",17855.82,null,null,null,null,"Afghanistan","Onions and shallots, dry (excluding dehydrated)","AfghanistanOnions and shallots, dry (excluding dehydrated)",317298.46400000004,19198.599999999999,"Onions, dry",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Onions, dry"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Beans (dry)","AngolaBeans (dry)",330865.33333333331,826393.66666666663,null,null,null,null,"Equatorial Guinea","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":""},null,null,null,null,"Angola","Cotton","AngolaCotton",5463.666666666667,2977.3333333333335,null,null,"Cotton",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX16,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":60211139.333333343},null,null,null,null,null,"Brazil",162]
[null,null,"Afghanistan","Area harvested","Anise, badian, coriander, cumin, caraway, fennel and juniper berries, raw","AfghanistanAnise, badian, coriander, cumin, caraway, fennel and juniper berries, raw",2019,"ha",25293,null,null,null,null,"Afghanistan","Oranges","AfghanistanOranges",6074.3940000000002,987.6,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Oranges"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Beans, green","AngolaBeans, green",0,0,null,null,null,null,"Eritrea","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":""},null,null,null,null,"Angola","Garlic (green)","AngolaGarlic (green)",0,0,null,null,"Garlic (green)",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX17,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":25461617.66666666},null,null,null,null,null,"Burkina Faso",162]
[null,null,"Afghanistan","Production","Anise, badian, coriander, cumin, caraway, fennel and juniper berries, raw","AfghanistanAnise, badian, coriander, cumin, caraway, fennel and juniper berries, raw",2019,"t",17807.759999999998,null,null,null,null,"Afghanistan","Other berries and fruits of the genus vaccinium n.e.c.","AfghanistanOther berries and fruits of the genus vaccinium n.e.c.",28124.841999999997,6048.4,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Other berries and fruits of the genus vaccinium n.e.c."},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Berries nes","AngolaBerries nes",0,0,null,null,null,null,"Eswatini","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":988.7},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":313.8},null,null,null,null,"Angola","Ginger","AngolaGinger",0,0,null,null,"Ginger",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX18,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":3840365},null,null,null,null,null,"Burundi",162]
[null,null,"Afghanistan","Area harvested","Anise, badian, coriander, cumin, caraway, fennel and juniper berries, raw","AfghanistanAnise, badian, coriander, cumin, caraway, fennel and juniper berries, raw",2020,"ha",25558,null,null,null,null,"Afghanistan","Other citrus fruit, n.e.c.","AfghanistanOther citrus fruit, n.e.c.",18202.628000000001,2029.6,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Other citrus fruit, n.e.c."},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Blueberries","AngolaBlueberries",0,0,null,null,null,null,"Ethiopia","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":176630.24599999998},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":59319.199999999997},null,null,null,null,"Angola","Grapes","AngolaGrapes",0,0,null,null,"Grapes",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX19,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":35510534.666666672},null,null,null,null,null,"Cabo Verde",162]
[null,null,"Afghanistan","Production","Anise, badian, coriander, cumin, caraway, fennel and juniper berries, raw","AfghanistanAnise, badian, coriander, cumin, caraway, fennel and juniper berries, raw",2020,"t",17965.900000000001,null,null,null,null,"Afghanistan","Other fruits, n.e.c.","AfghanistanOther fruits, n.e.c.",62072.436000000002,8176.8,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Other fruits, n.e.c."},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Brazil nuts, with shell","AngolaBrazil nuts, with shell",0,0,null,null,null,null,"Gabon","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":1728.4860000000001},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":618.6},null,null,null,null,"Angola","Peanuts","AngolaPeanuts",213795.66666666666,333384.33333333331,null,null,"Peanuts",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX20,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":46957139.666666657},null,null,null,null,null,"Cambodia",162]
[null,null,"Afghanistan","Area harvested","Anise, badian, coriander, cumin, caraway, fennel and juniper berries, raw","AfghanistanAnise, badian, coriander, cumin, caraway, fennel and juniper berries, raw",2021,"ha",25357,null,null,null,null,"Afghanistan","Other nuts (excluding wild edible nuts and groundnuts), in shell, n.e.c.","AfghanistanOther nuts (excluding wild edible nuts and groundnuts), in shell, n.e.c.",2464.5340000000001,2821.6,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Other nuts (excluding wild edible nuts and groundnuts), in shell, n.e.c."},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Broad beans, horse Beans (dry)","AngolaBroad beans, horse Beans (dry)",0,0,null,null,null,null,"Gambia","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":34072.199999999997},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":54537.4},null,null,null,null,"Angola","Lemons","AngolaLemons",0,0,null,null,"Lemons",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX21,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":15483703.000000002},null,null,null,null,null,"Cameroon",162]
[null,null,"Afghanistan","Production","Anise, badian, coriander, cumin, caraway, fennel and juniper berries, raw","AfghanistanAnise, badian, coriander, cumin, caraway, fennel and juniper berries, raw",2021,"t",17876.490000000002,null,null,null,null,"Afghanistan","Other pulses n.e.c.","AfghanistanOther pulses n.e.c.",42906.3,66112.600000000006,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Other pulses n.e.c."},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Buckwheat","AngolaBuckwheat",0,0,null,null,null,null,"Ghana","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":906496.19600000011},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":278586.2},null,null,null,null,"Angola","Lentils","AngolaLentils",0,0,null,null,"Lentils",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX22,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":2798502.3333333335},null,null,null,null,null,"Central African Republic",162]
[null,null,"Afghanistan","Area harvested","Apples","AfghanistanApples",2017,"ha",26847,null,null,null,null,"Afghanistan","Other stimulant, spice and aromatic crops, n.e.c.","AfghanistanOther stimulant, spice and aromatic crops, n.e.c.",13.219999999999999,6386.2,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Other stimulant, spice and aromatic crops, n.e.c."},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Cabbages and other brassicas","AngolaCabbages and other brassicas",338228.33333333331,124103,null,null,null,null,"Guinea","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":2371584.6},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":1751203.2},null,null,null,null,"Angola","Lettuce","AngolaLettuce",0,0,null,null,"Lettuce",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX23,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":17612804.666666657},null,null,null,null,null,"Chad",162]
[null,null,"Afghanistan","Production","Apples","AfghanistanApples",2017,"t",170443,null,null,null,null,"Afghanistan","Other stone fruits","AfghanistanOther stone fruits",49542.751999999993,7028.2,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Other stone fruits"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Canary seed","AngolaCanary seed",0,0,null,null,null,null,"Guinea-Bissau","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":188012},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":117409.2},null,null,null,null,"Angola","Maize","AngolaMaize",2654840.6666666665,2648862.3333333335,null,null,"Maize",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX24,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":664260261.33333337},null,null,null,null,null,"Chile",162]
[null,null,"Afghanistan","Area harvested","Apples","AfghanistanApples",2018,"ha",28381,null,null,null,null,"Afghanistan","Other vegetables, fresh n.e.c.","AfghanistanOther vegetables, fresh n.e.c.",636189.35400000005,70287.399999999994,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Other vegetables, fresh n.e.c."},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Carobs","AngolaCarobs",0,0,null,null,null,null,"Kenya","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":144255.6},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":27034.799999999999},null,null,null,null,"Angola","Mangoes","AngolaMangoes",0,0,null,null,"Mangoes",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX25,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":52853411.499999993},null,null,null,null,null,"China",162]
[null,null,"Afghanistan","Production","Apples","AfghanistanApples",2018,"t",217192,null,null,null,null,"Afghanistan","Peaches and nectarines","AfghanistanPeaches and nectarines",68786.8,8047,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Peaches and nectarines"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Carrots","AngolaCarrots and turnips",0,0,null,null,null,null,"Lesotho","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":""},null,null,null,null,"Angola","Millet","AngolaMillet",61805.333333333336,266674.66666666669,null,null,"Millet",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX26,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":28739746.166666668},null,null,null,null,null,"Colombia",162]
[null,null,"Afghanistan","Area harvested","Apples","AfghanistanApples",2019,"ha",27559,null,null,null,null,"Afghanistan","Pears","AfghanistanPears",15167.367999999999,2441.4,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Pears"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Cashew nuts","AngolaCashew nuts",2033,2703.3333333333335,null,null,null,null,"Liberia","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":263298},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":240536},null,null,null,null,"Angola","Mushrooms","AngolaMushrooms",0,0,null,null,"Mushrooms",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX27,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":38284956.999999993},null,null,null,null,null,"Comoros",162]
[null,null,"Afghanistan","Production","Apples","AfghanistanApples",2019,"t",250324,null,null,null,null,"Afghanistan","Pistachios, in shell","AfghanistanPistachios, in shell",2779.1140000000005,2197.8000000000002,"Pistachios",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Pistachios"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Cashewapple","AngolaCashewapple",0,0,null,null,null,null,"Madagascar","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":4032088.4},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":1520566.8},null,null,null,null,"Angola","Oats","AngolaOats",0,0,null,null,"Oats",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX28,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":3793793.3333333335},null,null,null,null,null,"Congo",162]
[null,null,"Afghanistan","Area harvested","Apples","AfghanistanApples",2020,"ha",25643,null,null,null,null,"Afghanistan","Plums and sloes","AfghanistanPlums and sloes",38668.909999999996,4257.6000000000004,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Plums and sloes"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Cassava","AngolaCassava",8685898,966662,null,null,null,null,"Malawi","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":133313.1},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":69637.600000000006},null,null,null,null,"Angola","Onions, dry","AngolaOnions, dry",0,0,null,null,"Onions, dry",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX29,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":77600053},null,null,null,null,null,"Costa Rica",162]
[null,null,"Afghanistan","Production","Apples","AfghanistanApples",2020,"t",270857,null,null,null,null,"Afghanistan","Potatoes","AfghanistanPotatoes",756953.2,46192.4,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Potatoes"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Cassava leaves","AngolaCassava leaves",0,0,null,null,null,null,"Mali","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":2900338.5240000002},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":886825.6},null,null,null,null,"Angola","Oranges","AngolaOranges",0,0,null,null,"Oranges",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX30,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":58737141.999999985},null,null,null,null,null,"Cote d'Ivoire",162]
[null,null,"Afghanistan","Area harvested","Apples","AfghanistanApples",2021,"ha",30463,null,null,null,null,"Afghanistan","Rice","AfghanistanRice",575840,128659.6,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Rice"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Castor oil seed","AngolaCastor oil seed",4117.666666666667,16132.666666666666,null,null,null,null,"Mauritania","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":319840},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":67800},null,null,null,null,"Angola","Peas (dry)","AngolaPeas (dry)",0,0,null,null,"Peas (dry)",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX31,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":4302852.3333333312},null,null,null,null,null,"Democratic Republic of the Congo",162]
[null,null,"Afghanistan","Production","Apples","AfghanistanApples",2021,"t",321672,null,null,null,null,"Afghanistan","Seed cotton, unginned","AfghanistanSeed cotton, unginned",63816.4,46866.8,"Cotton",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Cotton"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Cauliflowers and broccoli","AngolaCauliflowers and broccoli",0,0,null,null,null,null,"Mauritius","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":40},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":15},null,null,null,null,"Angola","Peppers","AngolaPeppers",0,0,null,null,"Peppers",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX32,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":694838.66666666651},null,null,null,null,null,"Dominica",162]
[null,null,"Afghanistan","Area harvested","Apricots","AfghanistanApricots",2017,"ha",18067,null,null,null,null,"Afghanistan","Sesame seed","AfghanistanSesame seed",31598.799999999999,38683,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Sesame seed"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Cereals nes","AngolaCereals nes",0,0,null,null,null,null,"Mozambique","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":384400},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":315498.59999999998},null,null,null,null,"Angola","Pineapples","AngolaPineapples",594573,45221.333333333336,null,null,"Pineapples",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX33,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":27660365.499999993},null,null,null,null,null,"Dominican Republic",162]
[null,null,"Afghanistan","Production","Apricots","AfghanistanApricots",2017,"t",131816,null,null,null,null,"Afghanistan","Sugar beet","AfghanistanSugar beet",5395.4,342,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Sugar beet"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Cherries","AngolaCherries",0,0,null,null,null,null,"Namibia","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":""},null,null,null,null,"Angola","Potatoes","AngolaPotatoes",458217.33333333331,63930.333333333336,null,null,"Potatoes",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX34,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":231745760.33333331},null,null,null,null,null,"Ecuador",162]
[null,null,"Afghanistan","Area harvested","Apricots","AfghanistanApricots",2018,"ha",18510,null,null,null,null,"Afghanistan","Sugar cane","AfghanistanSugar cane",35482,1537.4,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Sugar cane"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Cherries, sour","AngolaCherries, sour",0,0,null,null,null,null,"Niger","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":116999.78599999999},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":27170.6},null,null,null,null,"Angola","Quinoa","AngolaQuinoa",0,0,null,null,"Quinoa",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX35,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":155842},null,null,null,null,null,"Egypt",162]
[null,null,"Afghanistan","Production","Apricots","AfghanistanApricots",2018,"t",109086,null,null,null,null,"Afghanistan","Sunflower seed","AfghanistanSunflower seed",704.02600000000007,634.4,"Sunflower seeds",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Sunflower seeds"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Chestnut","AngolaChestnut",0,0,null,null,null,null,"Nigeria","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":9339479.1999999993},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":4230872},null,null,null,null,"Angola","Rapeseed","AngolaRapeseed",0,0,null,null,"Rapeseed",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX36,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":26250254.000000007},null,null,null,null,null,"El Salvador",162]
[null,null,"Afghanistan","Area harvested","Apricots","AfghanistanApricots",2019,"ha",17719,null,null,null,null,"Afghanistan","Walnuts, in shell","AfghanistanWalnuts, in shell",14175.2,5585.2,"Walnuts, with shell",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Walnuts, with shell"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Chickpeas","AngolaChickpeas ",0,0,null,null,null,null,"Rwanda","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":120535.594},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":31703.8},null,null,null,null,"Angola","Rye","AngolaRye",0,0,null,null,"Rye",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX37,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":1492484.333333333},null,null,null,null,null,"Equatorial Guinea",162]
[null,null,"Afghanistan","Production","Apricots","AfghanistanApricots",2019,"t",129363,null,null,null,null,"Afghanistan","Watermelons","AfghanistanWatermelons",781947.42599999998,54070,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Watermelons"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Chicory roots","AngolaChicory roots",0,0,null,null,null,null,"Sao Tome and Principe","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":""},null,null,null,null,"Angola","Sesame seed","AngolaSesame seed",3152,12098,null,null,"Sesame seed",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX38,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":5963769.333333334},null,null,null,null,null,"Eritrea",162]
[null,null,"Afghanistan","Area harvested","Apricots","AfghanistanApricots",2020,"ha",17481,null,null,null,null,"Afghanistan","Wheat","AfghanistanWheat",4397346.5999999996,2157588.2000000002,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Wheat"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Afghanistan"},null,null,null,null,"Angola","Chillies and peppers, dry","AngolaChillies and peppers, dry",0,0,null,null,null,null,"Senegal","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":1221085.8979999998},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":351977},null,null,null,null,"Angola","Sorghum","AngolaSorghum",35169.333333333336,146756,null,null,"Sorghum",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX39,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":47023835.666666672},null,null,null,null,null,"Eswatini",162]
[null,null,"Afghanistan","Production","Apricots","AfghanistanApricots",2020,"t",131788,null,null,null,null,"Albania","Apples","AlbaniaApples",105167.99399999999,4341.8,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Apples"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Chillies and peppers, green","AngolaChillies and peppers, green",0,0,null,null,null,null,"Seychelles","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":""},null,null,null,null,"Angola","Soybeans","AngolaSoybeans",36205.666666666664,37241.333333333336,null,null,"Soybeans",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX40,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":219183765.66666666},null,null,null,null,null,"Ethiopia",162]
[null,null,"Afghanistan","Area harvested","Apricots","AfghanistanApricots",2021,"ha",27082,null,null,null,null,"Albania","Apricots","AlbaniaApricots",5050.6660000000002,338.6,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Apricots"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Cinnamon (cannella)","AngolaCinnamon (cannella)",0,0,null,null,null,null,"Sierra Leone","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":1158392.834},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":820132.4},null,null,null,null,"Angola","Sugar cane","AngolaSugar cane",655520.66666666663,16801.666666666668,null,null,"Sugar cane",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX41,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":1818506949.0000002},null,null,null,null,null,"Fiji",162]
[null,null,"Afghanistan","Production","Apricots","AfghanistanApricots",2021,"t",207490,null,null,null,null,"Albania","Barley","AlbaniaBarley",10917.4,3609.2,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Barley"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Cloves","AngolaCloves",0,0,null,null,null,null,"Somalia","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":1600.58},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":910.8},null,null,null,null,"Angola","Sunflower seeds","AngolaSunflower seeds",11993.666666666666,16933.666666666668,null,null,"Sunflower seeds",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX42,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":26471750.66666666},null,null,null,null,null,"Gabon",162]
[null,null,"Afghanistan","Area harvested","Barley","AfghanistanBarley",2017,"ha",68179,null,null,null,null,"Albania","Beans, dry","AlbaniaBeans, dry",23740.799999999999,13334.6,"Beans",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Beans"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Cocoa","AngolaCocoa, beans",431,2754.6666666666665,null,null,null,null,"South Africa","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":3080.13},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":1094.2},null,null,null,null,"Angola","Sweet potatoes","AngolaSweet potatoes",1688098.3333333333,184553,null,null,"Sweet potatoes",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX43,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":87985679.000000015},null,null,null,null,null,"Gambia",162]
[null,null,"Afghanistan","Production","Barley","AfghanistanBarley",2017,"t",94995,null,null,null,null,"Albania","Broad beans and horse beans, dry","AlbaniaBroad beans and horse beans, dry",208.03399999999996,171.6,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Broad beans and horse beans, dry"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Coconuts","AngolaCoconuts",0,0,null,null,null,null,"South Sudan","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":20530.8},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":23600.799999999999},null,null,null,null,"Angola","Tomatoes","AngolaTomatoes",16594,6242.666666666667,null,null,"Tomatoes",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX44,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":132631359.33333331},null,null,null,null,null,"Ghana",162]
[null,null,"Afghanistan","Area harvested","Barley","AfghanistanBarley",2018,"ha",84147,null,null,null,null,"Albania","Broad beans and horse beans, green","AlbaniaBroad beans and horse beans, green",116.67,23.4,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Broad beans and horse beans, green"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Coffee","AngolaCoffee, green",14855.333333333334,48853,null,null,null,null,"Sudan","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":46440},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":11184.6},null,null,null,null,"Angola","Wheat","AngolaWheat",2954.6666666666665,3289,null,null,"Wheat",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AX45,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":383733972.83333325},null,null,null,null,null,"Grenada",162]
[null,null,"Afghanistan","Production","Barley","AfghanistanBarley",2018,"t",56781,null,null,null,null,"Albania","Cabbages","AlbaniaCabbages",61989.180000000008,1874.8,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Cabbages"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Coir","AngolaCoir",0,0,null,null,null,null,"Togo","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":151690.79999999999},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":90781.2},null,null,null,null,"Antigua and Barbuda","Almonds","Antigua and BarbudaAlmonds",0,0,null,null,null,null,null,null,null,null,null,"Guatemala",162]
[null,null,"Afghanistan","Area harvested","Barley","AfghanistanBarley",2019,"ha",84070,null,null,null,null,"Albania","Cantaloupes and other melons","AlbaniaCantaloupes and other melons",45392.72,1615.2,"Melons, other (inc.cantaloupes)",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Melons, other (inc.cantaloupes)"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Cow Peas (dry)","AngolaCow Peas (dry)",0,0,null,null,null,null,"Uganda","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":330812},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":120611.2},null,null,null,null,"Antigua and Barbuda","Apples","Antigua and BarbudaApples",0,0,null,null,null,null,null,null,null,null,null,"Guinea",162]
[null,null,"Afghanistan","Production","Barley","AfghanistanBarley",2019,"t",123576,null,null,null,null,"Albania","Carrots and turnips","AlbaniaCarrots and turnips",11531.004000000001,379.4,"Carrots",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Carrots"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Cranberries","AngolaCranberries",0,0,null,null,null,null,"United Republic of Tanzania","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":3582837.6},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":1180786.3999999999},null,null,null,null,"Antigua and Barbuda","Avocados","Antigua and BarbudaAvocados",0,0,null,null,null,null,null,null,null,null,null,"Guinea-Bissau",162]
[null,null,"Afghanistan","Area harvested","Barley","AfghanistanBarley",2020,"ha",86099,null,null,null,null,"Albania","Cauliflowers and broccoli","AlbaniaCauliflowers and broccoli",6474.74,292.60000000000002,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Cauliflowers and broccoli"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Cucumbers and gherkins","AngolaCucumbers and gherkins",0,0,null,null,null,null,"Zambia","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":42315.164000000004},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":30687.4},null,null,null,null,"Antigua and Barbuda","Bananas","Antigua and BarbudaBananas",177.66666666666666,48,null,null,null,null,null,null,null,null,null,"Guyana",162]
[null,null,"Afghanistan","Production","Barley","AfghanistanBarley",2020,"t",127757,null,null,null,null,"Albania","Cherries","AlbaniaCherries",20116.103999999999,2178,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Cherries"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Currants","AngolaCurrants",0,0,null,null,null,null,"Zimbabwe","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":1496.444},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":2830.4},null,null,null,null,"Antigua and Barbuda","Barley","Antigua and BarbudaBarley",0,0,null,null,null,null,null,null,null,null,null,"Haiti",162]
[null,null,"Afghanistan","Area harvested","Barley","AfghanistanBarley",2021,"ha",40273,null,null,null,null,"Albania","Chestnuts, in shell","AlbaniaChestnuts, in shell",5604.18,2386.8000000000002,"Chestnut",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Chestnut"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Eggplants (aubergines)","AngolaEggplants (aubergines)",0,0,null,null,null,null,"Antigua and Barbuda","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":""},null,null,null,null,"Antigua and Barbuda","Beans","Antigua and BarbudaBeans (dry)",0,0,null,null,null,null,null,null,null,null,null,"Honduras",162]
[null,null,"Afghanistan","Production","Barley","AfghanistanBarley",2021,"t",65102,null,null,null,null,"Albania","Chillies and peppers, green (Capsicum spp. and Pimenta spp.)","AlbaniaChillies and peppers, green (Capsicum spp. and Pimenta spp.)",88796.004000000001,3087.6,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Chillies and peppers, green (Capsicum spp. and Pimenta spp.)"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Fibre crops nes","AngolaFibre crops nes",0,0,null,null,null,null,"Argentina","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":1312454.2},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":194169.60000000001},null,null,null,null,"Antigua and Barbuda","Buckwheat","Antigua and BarbudaBuckwheat",0,0,null,null,null,null,null,null,null,null,null,"India",162]
[null,null,"Afghanistan","Area harvested","Cantaloupes and other melons","AfghanistanCantaloupes and other melons",2017,"ha",54406,null,null,null,null,"Albania","Cucumbers and gherkins","AlbaniaCucumbers and gherkins",117809.78599999999,2547.4,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Cucumbers and gherkins"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Figs","AngolaFigs",0,0,null,null,null,null,"Bahamas","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":""},null,null,null,null,"Antigua and Barbuda","Carrots","Antigua and BarbudaCarrots and turnips",205,24.666666666666668,null,null,null,null,null,null,null,null,null,"Indonesia",162]
[null,null,"Afghanistan","Production","Cantaloupes and other melons","AfghanistanCantaloupes and other melons",2017,"t",493087.66,null,null,null,null,"Albania","Dates","AlbaniaDates",13892.234,484.6,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Dates"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Flax fibre and tow","AngolaFlax fibre and tow",0,0,null,null,null,null,"Barbados","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":""},null,null,null,null,"Antigua and Barbuda","Cashew nuts","Antigua and BarbudaCashew nuts",0,0,null,null,null,null,null,null,null,null,null,"Jamaica",162]
[null,null,"Afghanistan","Area harvested","Cantaloupes and other melons","AfghanistanCantaloupes and other melons",2018,"ha",35798,null,null,null,null,"Albania","Eggplants (aubergines)","AlbaniaEggplants (aubergines)",32123.155999999999,1194.8,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Eggplants (aubergines)"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Fonio","AngolaFonio",0,0,null,null,null,null,"Belize","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":14991.6},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":2966.4},null,null,null,null,"Antigua and Barbuda","Cassava","Antigua and BarbudaCassava",104.66666666666667,18,null,null,null,null,null,null,null,null,null,"Kazakhstan",162]
[null,null,"Afghanistan","Production","Cantaloupes and other melons","AfghanistanCantaloupes and other melons",2018,"t",389472.93,null,null,null,null,"Albania","Figs","AlbaniaFigs",22506.78,1493.2,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Figs"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Fruit, citrus nes","AngolaFruit, citrus nes",416253.33333333331,38462,null,null,null,null,"Bolivia (Plurinational State of)","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":531477.59400000004},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":177028.2},null,null,null,null,"Antigua and Barbuda","Chickpeas","Antigua and BarbudaChickpeas ",0,0,null,null,null,null,null,null,null,null,null,"Kenya",162]
[null,null,"Afghanistan","Area harvested","Cantaloupes and other melons","AfghanistanCantaloupes and other melons",2019,"ha",37136,null,null,null,null,"Albania","Grapes","AlbaniaGrapes",197752.8,10426.4,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Grapes"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Fruit, fresh nes","AngolaFruit, fresh nes",39050.666666666664,8295.6666666666661,null,null,null,null,"Brazil","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":11478686.6},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":1791063},null,null,null,null,"Antigua and Barbuda","Cocoa","Antigua and BarbudaCocoa, beans",0,0,null,null,null,null,null,null,null,null,null,"Kiribati",162]
[null,null,"Afghanistan","Production","Cantaloupes and other melons","AfghanistanCantaloupes and other melons",2019,"t",464230,null,null,null,null,"Albania","Green garlic","AlbaniaGreen garlic",16507.73,1047.2,"Garlic (green)",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Garlic (green)"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Fruit, pome nes","AngolaFruit, pome nes",0,0,null,null,null,null,"Chile","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":162270.65999999997},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":25212},null,null,null,null,"Antigua and Barbuda","Coffee","Antigua and BarbudaCoffee, green",0,0,null,null,null,null,null,null,null,null,null,"Kyrgyzstan",162]
[null,null,"Afghanistan","Area harvested","Cantaloupes and other melons","AfghanistanCantaloupes and other melons",2020,"ha",58942,null,null,null,null,"Albania","Hop cones","AlbaniaHop cones",1785.75,2356.4,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Hop cones"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Fruit, stone nes","AngolaFruit, stone nes",0,0,null,null,null,null,"Colombia","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":2790460},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":632840},null,null,null,null,"Antigua and Barbuda","Cotton","Antigua and BarbudaCotton",105,601,null,null,null,null,null,null,null,null,null,"Lao People's Democratic Republic",162]
[null,null,"Afghanistan","Production","Cantaloupes and other melons","AfghanistanCantaloupes and other melons",2020,"t",793496,null,null,null,null,"Albania","Leeks and other alliaceous vegetables","AlbaniaLeeks and other alliaceous vegetables",35944.487999999998,1511,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Leeks and other alliaceous vegetables"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Fruit, tropical fresh nes","AngolaFruit, tropical fresh nes",0,0,null,null,null,null,"Costa Rica","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":165041.1},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":37695.599999999999},null,null,null,null,"Antigua and Barbuda","Garlic (green)","Antigua and BarbudaGarlic (green)",0,0,null,null,null,null,null,null,null,null,null,"Lebanon",162]
[null,null,"Afghanistan","Area harvested","Cantaloupes and other melons","AfghanistanCantaloupes and other melons",2021,"ha",59437,null,null,null,null,"Albania","Lemons and limes","AlbaniaLemons and limes",4111.9160000000002,152.19999999999999,"Lemons",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Lemons"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Garlic (green)","AngolaGarlic (green)",0,0,null,null,null,null,"Dominica","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":""},null,null,null,null,"Antigua and Barbuda","Ginger","Antigua and BarbudaGinger",0,0,null,null,null,null,null,null,null,null,null,"Lesotho",162]
[null,null,"Afghanistan","Production","Cantaloupes and other melons","AfghanistanCantaloupes and other melons",2021,"t",801514.01,null,null,null,null,"Albania","Lettuce and chicory","AlbaniaLettuce and chicory",21398.239999999998,1451,"Lettuce",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Lettuce"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Ginger","AngolaGinger",0,0,null,null,null,null,"Dominican Republic","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":1041220},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":184018.6},null,null,null,null,"Antigua and Barbuda","Grapes","Antigua and BarbudaGrapes",0,0,null,null,null,null,null,null,null,null,null,"Liberia",162]
[null,null,"Afghanistan","Area harvested","Figs","AfghanistanFigs",2017,"ha",1623,null,null,null,null,"Albania","Maize (corn)","AlbaniaMaize (corn)",394901.96,56467.6,"Maize",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Maize"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Gooseberries","AngolaGooseberries",0,0,null,null,null,null,"Ecuador","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":1115120},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":313380},null,null,null,null,"Antigua and Barbuda","Peanuts","Antigua and BarbudaPeanuts",0,0,null,null,null,null,null,null,null,null,null,"Madagascar",162]
[null,null,"Afghanistan","Production","Figs","AfghanistanFigs",2017,"t",7933.86,null,null,null,null,"Albania","Mushrooms and truffles","AlbaniaMushrooms and truffles",100,0,"Mushrooms",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Mushrooms"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Grain, mixed","AngolaGrain, mixed",0,0,null,null,null,null,"El Salvador","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":24525.243999999999},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":3507.4},null,null,null,null,"Antigua and Barbuda","Lemons","Antigua and BarbudaLemons",418.66666666666669,90,null,null,null,null,null,null,null,null,null,"Malawi",162]
[null,null,"Afghanistan","Area harvested","Figs","AfghanistanFigs",2018,"ha",1644,null,null,null,null,"Albania","Oats","AlbaniaOats",34200.800000000003,15686.2,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Oats"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Grapefruit (inc. pomelos)","AngolaGrapefruit (inc. pomelos)",0,0,null,null,null,null,"Grenada","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":""},null,null,null,null,"Antigua and Barbuda","Lentils","Antigua and BarbudaLentils",0,0,null,null,null,null,null,null,null,null,null,"Malaysia",162]
[null,null,"Afghanistan","Production","Figs","AfghanistanFigs",2018,"t",9500.65,null,null,null,null,"Albania","Okra","AlbaniaOkra",8127.945999999999,704.8,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Okra"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Grapes","AngolaGrapes",0,0,null,null,null,null,"Guatemala","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":26979.4},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":9596.6},null,null,null,null,"Antigua and Barbuda","Lettuce","Antigua and BarbudaLettuce",0,0,null,null,null,null,null,null,null,null,null,"Maldives",162]
[null,null,"Afghanistan","Area harvested","Figs","AfghanistanFigs",2019,"ha",3529,null,null,null,null,"Albania","Olives","AlbaniaOlives",{"$f":"IFERROR(AVERAGEIFS(I:I,F:F,P67,H:H,\"t\"),0)","v":113170.3},{"$f":"IFERROR(AVERAGEIFS(I:I,F:F,P67,H:H,\"ha\"),0)","v":47153},null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Olives"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Peanuts","AngolaPeanuts",213795.66666666666,333384.33333333331,null,null,null,null,"Guyana","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":980180},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":171880},null,null,null,null,"Antigua and Barbuda","Maize","Antigua and BarbudaMaize",53.666666666666664,24,null,null,null,null,null,null,null,null,null,"Mali",162]
[null,null,"Afghanistan","Production","Figs","AfghanistanFigs",2019,"t",24319,null,null,null,null,"Albania","Onions and shallots, dry (excluding dehydrated)","AlbaniaOnions and shallots, dry (excluding dehydrated)",107149.374,5154.2,"Onions, dry",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Onions, dry"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Gums, natural","AngolaGums, natural",0,0,null,null,null,null,"Haiti","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":168807.2},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":77583},null,null,null,null,"Antigua and Barbuda","Mangoes","Antigua and BarbudaMangoes",1399.6666666666667,310,null,null,null,null,null,null,null,null,null,"Marshall Islands",162]
[null,null,"Afghanistan","Area harvested","Figs","AfghanistanFigs",2020,"ha",3219,null,null,null,null,"Albania","Onions and shallots, green","AlbaniaOnions and shallots, green",43750.311999999998,2031.2,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Onions and shallots, green"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Hazelnuts, with shell","AngolaHazelnuts, with shell",0,0,null,null,null,null,"Honduras","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":59051.857999999993},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":16793.599999999999},null,null,null,null,"Antigua and Barbuda","Millet","Antigua and BarbudaMillet",0,0,null,null,null,null,null,null,null,null,null,"Mauritania",162]
[null,null,"Afghanistan","Production","Figs","AfghanistanFigs",2020,"t",15994,null,null,null,null,"Albania","Oranges","AlbaniaOranges",11325.235999999999,231.8,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Oranges"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Hemp tow waste","AngolaHemp tow waste",0,0,null,null,null,null,"Jamaica","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0.4},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":0.4},null,null,null,null,"Antigua and Barbuda","Mushrooms","Antigua and BarbudaMushrooms",0,0,null,null,null,null,null,null,null,null,null,"Mauritius",162]
[null,null,"Afghanistan","Area harvested","Figs","AfghanistanFigs",2021,"ha",10077,null,null,null,null,"Albania","Other beans, green","AlbaniaOther beans, green",11863.444,939.2,"Beans, green",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Beans, green"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Hempseed","AngolaHempseed",0,0,null,null,null,null,"Mexico","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":269385.47199999995},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":42612.2},null,null,null,null,"Antigua and Barbuda","Oats","Antigua and BarbudaOats",0,0,null,null,null,null,null,null,null,null,null,"Mexico",162]
[null,null,"Afghanistan","Production","Figs","AfghanistanFigs",2021,"t",59755.66,null,null,null,null,"Albania","Other citrus fruit, n.e.c.","AlbaniaOther citrus fruit, n.e.c.",15.52,1,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Other citrus fruit, n.e.c."},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Hops","AngolaHops",0,0,null,null,null,null,"Nicaragua","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":459606.04599999997},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":72614.600000000006},null,null,null,null,"Antigua and Barbuda","Onions, dry","Antigua and BarbudaOnions, dry",228,29.666666666666668,null,null,null,null,null,null,null,null,null,"Micronesia (Federated States of)",162]
[null,null,"Afghanistan","Area harvested","Grapes","AfghanistanGrapes",2017,"ha",87194,null,null,null,null,"Albania","Other fruits, n.e.c.","AlbaniaOther fruits, n.e.c.",5063.53,157.80000000000001,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Other fruits, n.e.c."},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Jojoba seed","AngolaJojoba seed",0,0,null,null,null,null,"Panama","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":367362.6},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":96290},null,null,null,null,"Antigua and Barbuda","Oranges","Antigua and BarbudaOranges",0,0,null,null,null,null,null,null,null,null,null,"Mongolia",162]
[null,null,"Afghanistan","Production","Grapes","AfghanistanGrapes",2017,"t",923831,null,null,null,null,"Albania","Other nuts (excluding wild edible nuts and groundnuts), in shell, n.e.c.","AlbaniaOther nuts (excluding wild edible nuts and groundnuts), in shell, n.e.c.",8659.884,901.8,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Other nuts (excluding wild edible nuts and groundnuts), in shell, n.e.c."},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Jute","AngolaJute",0,0,null,null,null,null,"Paraguay","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":1051233.6000000001},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":160400},null,null,null,null,"Antigua and Barbuda","Peas (dry)","Antigua and BarbudaPeas (dry)",0,0,null,null,null,null,null,null,null,null,null,"Morocco",162]
[null,null,"Afghanistan","Area harvested","Grapes","AfghanistanGrapes",2018,"ha",87517,null,null,null,null,"Albania","Other pulses n.e.c.","AlbaniaOther pulses n.e.c.",703.74800000000005,1152.8,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Other pulses n.e.c."},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Kapok fruit","AngolaKapok fruit",0,0,null,null,null,null,"Peru","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":3367411.21},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":424122.2},null,null,null,null,"Antigua and Barbuda","Peppers","Antigua and BarbudaPeppers",0,0,null,null,null,null,null,null,null,null,null,"Mozambique",162]
[null,null,"Afghanistan","Production","Grapes","AfghanistanGrapes",2018,"t",984081,null,null,null,null,"Albania","Other stimulant, spice and aromatic crops, n.e.c.","AlbaniaOther stimulant, spice and aromatic crops, n.e.c.",346.26200000000006,401,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Other stimulant, spice and aromatic crops, n.e.c."},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Karite nuts (sheanuts)","AngolaKarite nuts (sheanuts)",0,0,null,null,null,null,"Saint Kitts and Nevis","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":""},null,null,null,null,"Antigua and Barbuda","Pineapples","Antigua and BarbudaPineapples",300.33333333333331,24,null,null,null,null,null,null,null,null,null,"Myanmar",162]
[null,null,"Afghanistan","Area harvested","Grapes","AfghanistanGrapes",2019,"ha",89593,null,null,null,null,"Albania","Other stone fruits","AlbaniaOther stone fruits",0,0,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Other stone fruits"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Kiwi fruit","AngolaKiwi fruit",0,0,null,null,null,null,"Saint Lucia","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":""},null,null,null,null,"Antigua and Barbuda","Potatoes","Antigua and BarbudaPotatoes",0,0,null,null,null,null,null,null,null,null,null,"Namibia",162]
[null,null,"Afghanistan","Production","Grapes","AfghanistanGrapes",2019,"t",1112927,null,null,null,null,"Albania","Other vegetables, fresh n.e.c.","AlbaniaOther vegetables, fresh n.e.c.",21960.78,1331.4,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Other vegetables, fresh n.e.c."},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Kola nuts","AngolaKola nuts",0,0,null,null,null,null,"Trinidad and Tobago","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":773.22},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":747},null,null,null,null,"Antigua and Barbuda","Quinoa","Antigua and BarbudaQuinoa",0,0,null,null,null,null,null,null,null,null,null,"Nepal",162]
[null,null,"Afghanistan","Area harvested","Grapes","AfghanistanGrapes",2020,"ha",92584,null,null,null,null,"Albania","Peaches and nectarines","AlbaniaPeaches and nectarines",19743.79,1242.2,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Peaches and nectarines"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Leeks, other alliaceous vegetables","AngolaLeeks, other alliaceous vegetables",0,0,null,null,null,null,"Uruguay","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":1274916.3999999999},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":150291.4},null,null,null,null,"Antigua and Barbuda","Rapeseed","Antigua and BarbudaRapeseed",0,0,null,null,null,null,null,null,null,null,null,"Nicaragua",162]
[null,null,"Afghanistan","Production","Grapes","AfghanistanGrapes",2020,"t",993382,null,null,null,null,"Albania","Pears","AlbaniaPears",13943.882000000001,754.8,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Pears"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Lemons","AngolaLemons",0,0,null,null,null,null,"Venezuela (Bolivarian Republic of)","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":608804.88800000004},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":169096.8},null,null,null,null,"Antigua and Barbuda","Rye","Antigua and BarbudaRye",0,0,null,null,null,null,null,null,null,null,null,"Niger",162]
[null,null,"Afghanistan","Area harvested","Grapes","AfghanistanGrapes",2021,"ha",92645,null,null,null,null,"Albania","Peas, green","AlbaniaPeas, green",5923.1600000000008,491.8,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Peas, green"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Lentils","AngolaLentils",0,0,null,null,null,null,"Bangladesh","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":54887935.399999999},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":11552845.800000001},null,null,null,null,"Antigua and Barbuda","Sesame seed","Antigua and BarbudaSesame seed",0,0,null,null,null,null,null,null,null,null,null,"Nigeria",162]
[null,null,"Afghanistan","Production","Grapes","AfghanistanGrapes",2021,"t",993884,null,null,null,null,"Albania","Plums and sloes","AlbaniaPlums and sloes",41500.090000000004,2591.6,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Plums and sloes"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Lettuce","AngolaLettuce",0,0,null,null,null,null,"Bhutan","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":58963.833999999995},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":14196},null,null,null,null,"Antigua and Barbuda","Sorghum","Antigua and BarbudaSorghum",0,0,null,null,null,null,null,null,null,null,null,"Pakistan",162]
[null,null,"Afghanistan","Area harvested","Linseed","AfghanistanLinseed",2017,"ha",28207,null,null,null,null,"Albania","Potatoes","AlbaniaPotatoes",255751.2,9983.4,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Potatoes"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Linseed","AngolaLinseed",0,0,null,null,null,null,"India","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":180571725},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":44728034},null,null,null,null,"Antigua and Barbuda","Soybeans","Antigua and BarbudaSoybeans",0,0,null,null,null,null,null,null,null,null,null,"Panama",162]
[null,null,"Afghanistan","Production","Linseed","AfghanistanLinseed",2017,"t",20790.38,null,null,null,null,"Albania","Pumpkins, squash and gourds","AlbaniaPumpkins, squash and gourds",20900.090000000004,701.6,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Pumpkins, squash and gourds"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Lupins","AngolaLupins",0,0,null,null,null,null,"Maldives","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":""},null,null,null,null,"Antigua and Barbuda","Sugar cane","Antigua and BarbudaSugar cane",0,0,null,null,null,null,null,null,null,null,null,"Papua New Guinea",162]
[null,null,"Afghanistan","Area harvested","Linseed","AfghanistanLinseed",2018,"ha",34458,null,null,null,null,"Albania","Quinces","AlbaniaQuinces",4738.3999999999996,87.4,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Quinces"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Maize","AngolaMaize",2654840.6666666665,2648862.3333333335,null,null,null,null,"Myanmar","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":26916240},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":6937820},null,null,null,null,"Antigua and Barbuda","Sunflower seeds","Antigua and BarbudaSunflower seeds",0,0,null,null,null,null,null,null,null,null,null,"Paraguay",162]
[null,null,"Afghanistan","Production","Linseed","AfghanistanLinseed",2018,"t",35500.06,null,null,null,null,"Albania","Rice","AlbaniaRice",0,0,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Rice"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Maize, green","AngolaMaize, green",0,0,null,null,null,null,"Nepal","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":5413029.7999999998},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":1474211.2},null,null,null,null,"Antigua and Barbuda","Sweet potatoes","Antigua and BarbudaSweet potatoes",204.33333333333334,35,null,null,null,null,null,null,null,null,null,"Peru",162]
[null,null,"Afghanistan","Area harvested","Linseed","AfghanistanLinseed",2019,"ha",38323,null,null,null,null,"Albania","Rye","AlbaniaRye",2810.8,1197.4000000000001,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Rye"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Mangoes","AngolaMangoes",0,0,null,null,null,null,"Sri Lanka","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":4235112},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":996647.4},null,null,null,null,"Antigua and Barbuda","Tomatoes","Antigua and BarbudaTomatoes",342.33333333333331,40.666666666666664,null,null,null,null,null,null,null,null,null,"Philippines",162]
[null,null,"Afghanistan","Production","Linseed","AfghanistanLinseed",2019,"t",55000,null,null,null,null,"Albania","Seed cotton, unginned","AlbaniaSeed cotton, unginned",803.5139999999999,722.4,"Cotton",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Cotton"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Manila fibre (abaca)","AngolaManila fibre (abaca)",0,0,null,null,null,null,"Pakistan","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":11941364.300000001},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":3123507.6},null,null,null,null,"Antigua and Barbuda","Wheat","Antigua and BarbudaWheat",0,0,null,null,null,null,null,null,null,null,null,"Rwanda",162]
[null,null,"Afghanistan","Area harvested","Linseed","AfghanistanLinseed",2020,"ha",31089,null,null,null,null,"Albania","Sorghum","AlbaniaSorghum",0,0,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Sorghum"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Mate","AngolaMate",0,0,null,null,null,null,"Austria","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":""},null,null,null,null,"Argentina","Almonds","ArgentinaAlmonds",698.66666666666663,386.33333333333331,null,null,null,null,null,null,null,null,null,"Saint Kitts and Nevis",162]
[null,null,"Afghanistan","Production","Linseed","AfghanistanLinseed",2020,"t",34216,null,null,null,null,"Albania","Sour cherries","AlbaniaSour cherries",17588.226000000002,3143.8,"Cherries",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Cherries"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Melons, other (inc.cantaloupes)","AngolaMelons, other (inc.cantaloupes)",0,0,null,null,null,null,"Belgium","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":0},null,null,null,null,"Argentina","Apples","ArgentinaApples",502342,22083.666666666668,null,null,null,null,null,null,null,null,null,"Saint Lucia",162]
[null,null,"Afghanistan","Area harvested","Linseed","AfghanistanLinseed",2021,"ha",31329,null,null,null,null,"Albania","Soya beans","AlbaniaSoya beans",532.6,205,"Soybeans",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Soybeans"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Melonseed","AngolaMelonseed",0,0,null,null,null,null,"Bosnia and Herzegovina","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":""},null,null,null,null,"Argentina","Avocados","ArgentinaAvocados",4156,587.33333333333337,null,null,null,null,null,null,null,null,null,"Samoa",162]
[null,null,"Afghanistan","Production","Linseed","AfghanistanLinseed",2021,"t",31000,null,null,null,null,"Albania","Spinach","AlbaniaSpinach",23202.142,1545.6,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Spinach"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Millet","AngolaMillet",61805.333333333336,266674.66666666669,null,null,null,null,"Bulgaria","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":62818.6},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":11530.8},null,null,null,null,"Argentina","Bananas","ArgentinaBananas",176190.66666666666,8404,null,null,null,null,null,null,null,null,null,"Sao Tome and Principe",162]
[null,null,"Afghanistan","Area harvested","Maize (corn)","AfghanistanMaize (corn)",2017,"ha",134225,null,null,null,null,"Albania","Strawberries","AlbaniaStrawberries",5184.8599999999997,115,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Strawberries"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Mushrooms","AngolaMushrooms",0,0,null,null,null,null,"Croatia","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":0},null,null,null,null,"Argentina","Barley","ArgentinaBarley",4501431.666666667,1077047.6666666667,null,null,null,null,null,null,null,null,null,"Senegal",162]
[null,null,"Afghanistan","Production","Maize (corn)","AfghanistanMaize (corn)",2017,"t",173912,null,null,null,null,"Albania","Sugar beet","AlbaniaSugar beet",28358.464,810.6,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Sugar beet"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Mustard seed","AngolaMustard seed",0,0,null,null,null,null,"Cyprus","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":0},null,null,null,null,"Argentina","Beans","ArgentinaBeans (dry)",488569,417158.66666666669,null,null,null,null,null,null,null,null,null,"Seychelles",162]
[null,null,"Afghanistan","Area harvested","Maize (corn)","AfghanistanMaize (corn)",2018,"ha",72433,null,null,null,null,"Albania","Sunflower seed","AlbaniaSunflower seed",1032.0999999999999,448.6,"Sunflower seeds",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Sunflower seeds"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Nutmeg, mace and cardamoms","AngolaNutmeg, mace and cardamoms",0,0,null,null,null,null,"Czech Republic","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":0},null,null,null,null,"Argentina","Buckwheat","ArgentinaBuckwheat",0,0,null,null,null,null,null,null,null,null,null,"Sierra Leone",162]
[null,null,"Afghanistan","Production","Maize (corn)","AfghanistanMaize (corn)",2018,"t",106670,null,null,null,null,"Albania","Tangerines, mandarins, clementines","AlbaniaTangerines, mandarins, clementines",31167.408000000003,924.2,"Tangerines, mandarins, clementines, satsumas",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Tangerines, mandarins, clementines, satsumas"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Nuts nes","AngolaNuts nes",0,0,null,null,null,null,"Denmark","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":0},null,null,null,null,"Argentina","Carrots","ArgentinaCarrots and turnips",293801,9383.3333333333339,null,null,null,null,null,null,null,null,null,"Solomon Islands",162]
[null,null,"Afghanistan","Area harvested","Maize (corn)","AfghanistanMaize (corn)",2019,"ha",94910,null,null,null,null,"Albania","Tomatoes","AlbaniaTomatoes",300536.97400000005,6653.2,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Tomatoes"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Oats","AngolaOats",0,0,null,null,null,null,"Estonia","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":0},null,null,null,null,"Argentina","Cashew nuts","ArgentinaCashew nuts",0,0,null,null,null,null,null,null,null,null,null,"Somalia",162]
[null,null,"Afghanistan","Production","Maize (corn)","AfghanistanMaize (corn)",2019,"t",184671,null,null,null,null,"Albania","Unmanufactured tobacco","AlbaniaUnmanufactured tobacco",1502.46,817.2,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Unmanufactured tobacco"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Oil palm fruit","AngolaOil palm fruit",280693.33333333331,23208,null,null,null,null,"Finland","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":0},null,null,null,null,"Argentina","Cassava","ArgentinaCassava",194484.66666666666,19439,null,null,null,null,null,null,null,null,null,"South Africa",162]
[null,null,"Afghanistan","Area harvested","Maize (corn)","AfghanistanMaize (corn)",2020,"ha",140498,null,null,null,null,"Albania","Vetches","AlbaniaVetches",1898.098,6407.2,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Vetches"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Oilseeds nes","AngolaOilseeds nes",0,0,null,null,null,null,"France","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":76868.800000000003},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":14375.4},null,null,null,null,"Argentina","Chickpeas","ArgentinaChickpeas ",160702.66666666666,85184.666666666672,null,null,null,null,null,null,null,null,null,"South Sudan",162]
[null,null,"Afghanistan","Production","Maize (corn)","AfghanistanMaize (corn)",2020,"t",271776,null,null,null,null,"Albania","Watermelons","AlbaniaWatermelons",254182.984,5790.4,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Watermelons"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Okra","AngolaOkra",0,0,null,null,null,null,"Germany","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":0},null,null,null,null,"Argentina","Cocoa","ArgentinaCocoa, beans",0,0,null,null,null,null,null,null,null,null,null,"Sri Lanka",162]
[null,null,"Afghanistan","Area harvested","Maize (corn)","AfghanistanMaize (corn)",2021,"ha",139080,null,null,null,null,"Albania","Wheat","AlbaniaWheat",241397.97999999998,59791.4,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Wheat"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Albania"},null,null,null,null,"Angola","Olives","AngolaOlives",0,0,null,null,null,null,"Greece","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":246357.6},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":32418.2},null,null,null,null,"Argentina","Coffee","ArgentinaCoffee, green",0,0,null,null,null,null,null,null,null,null,null,"Sudan",162]
[null,null,"Afghanistan","Production","Maize (corn)","AfghanistanMaize (corn)",2021,"t",264314,null,null,null,null,"Algeria","Almonds, in shell","AlgeriaAlmonds, in shell",61567.716,37628,"Almonds",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Almonds"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Algeria"},null,null,null,null,"Angola","Onions, dry","AngolaOnions, dry",0,0,null,null,null,null,"Hungary","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":11602.6},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":2811},null,null,null,null,"Argentina","Cotton","ArgentinaCotton",767524.33333333337,301830.33333333331,null,null,null,null,null,null,null,null,null,"Tajikistan",162]
[null,null,"Afghanistan","Area harvested","Millet","AfghanistanMillet",2017,"ha",2980,null,null,null,null,"Algeria","Apples","AlgeriaApples",526003.52800000005,35091.599999999999,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Apples"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Algeria"},null,null,null,null,"Angola","Onions, shallots, green","AngolaOnions, shallots, green",27149.333333333332,12886,null,null,null,null,"Iceland","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":""},null,null,null,null,"Argentina","Garlic (green)","ArgentinaGarlic (green)",146690.33333333334,15209.333333333334,null,null,null,null,null,null,null,null,null,"Thailand",162]
[null,null,"Afghanistan","Production","Millet","AfghanistanMillet",2017,"t",4850.97,null,null,null,null,"Algeria","Apricots","AlgeriaApricots",217066.788,32930,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Apricots"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Algeria"},null,null,null,null,"Angola","Oranges","AngolaOranges",0,0,null,null,null,null,"Ireland","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":0},null,null,null,null,"Argentina","Ginger","ArgentinaGinger",0,0,null,null,null,null,null,null,null,null,null,"Timor-Leste",162]
[null,null,"Afghanistan","Area harvested","Millet","AfghanistanMillet",2018,"ha",1270,null,null,null,null,"Algeria","Artichokes","AlgeriaArtichokes",120109.86000000002,5718.8,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Artichokes"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Algeria"},null,null,null,null,"Angola","Papayas","AngolaPapayas",0,0,null,null,null,null,"Italy","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":1505507.4},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":225142.6},null,null,null,null,"Argentina","Grapes","ArgentinaGrapes",2352801,218083.33333333334,null,null,null,null,null,null,null,null,null,"Togo",162]
[null,null,"Afghanistan","Production","Millet","AfghanistanMillet",2018,"t",2304.5,null,null,null,null,"Algeria","Bananas","AlgeriaBananas",234.542,9.6,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Bananas"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Algeria"},null,null,null,null,"Angola","Peaches and nectarines","AngolaPeaches and nectarines",0,0,null,null,null,null,"Kazakhstan","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":518728.75800000003},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":101372.4},null,null,null,null,"Argentina","Peanuts","ArgentinaPeanuts",1096514,388309.33333333331,null,null,null,null,null,null,null,null,null,"Tonga",162]
[null,null,"Afghanistan","Area harvested","Millet","AfghanistanMillet",2019,"ha",1401,null,null,null,null,"Algeria","Barley","AlgeriaBarley",1268654.014,1004029.8,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Barley"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Algeria"},null,null,null,null,"Angola","Pears","AngolaPears",0,0,null,null,null,null,"Kyrgyzstan","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":42198.66},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":11537},null,null,null,null,"Argentina","Lemons","ArgentinaLemons",1848853,55944.333333333336,null,null,null,null,null,null,null,null,null,"Trinidad and Tobago",162]
[null,null,"Afghanistan","Production","Millet","AfghanistanMillet",2019,"t",2714,null,null,null,null,"Algeria","Beans, dry","AlgeriaBeans, dry",2348.2200000000003,2491,"Beans",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Beans"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Algeria"},null,null,null,null,"Angola","Peas (dry)","AngolaPeas (dry)",0,0,null,null,null,null,"Latvia","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":0},null,null,null,null,"Argentina","Lentils","ArgentinaLentils",21384.333333333332,17644.666666666668,null,null,null,null,null,null,null,null,null,"Turkey",162]
[null,null,"Afghanistan","Area harvested","Millet","AfghanistanMillet",2020,"ha",1437,null,null,null,null,"Algeria","Broad beans and horse beans, dry","AlgeriaBroad beans and horse beans, dry",49298.338000000003,39864.6,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Broad beans and horse beans, dry"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Algeria"},null,null,null,null,"Angola","Peas, green","AngolaPeas, green",0,0,null,null,null,null,"Lithuania","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":0},null,null,null,null,"Argentina","Lettuce","ArgentinaLettuce",0,0,null,null,null,null,null,null,null,null,null,"Tuvalu",162]
[null,null,"Afghanistan","Production","Millet","AfghanistanMillet",2020,"t",1895,null,null,null,null,"Algeria","Broad beans and horse beans, green","AlgeriaBroad beans and horse beans, green",292076.03399999999,32727.8,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Broad beans and horse beans, green"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Algeria"},null,null,null,null,"Angola","Peppers","AngolaPeppers",0,0,null,null,null,null,"Luxembourg","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":0},null,null,null,null,"Argentina","Maize","ArgentinaMaize",49932974,6967351.333333333,null,null,null,null,null,null,null,null,null,"Uganda",162]
[null,null,"Afghanistan","Area harvested","Millet","AfghanistanMillet",2021,"ha",979,null,null,null,null,"Algeria","Cabbages","AlgeriaCabbages",119605.91,4218.6000000000004,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Cabbages"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Algeria"},null,null,null,null,"Angola","Peppermint","AngolaPeppermint",0,0,null,null,null,null,"Malta","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":0},null,null,null,null,"Argentina","Mangoes","ArgentinaMangoes",2195.6666666666665,273.33333333333331,null,null,null,null,null,null,null,null,null,"Ukraine",162]
[null,null,"Afghanistan","Production","Millet","AfghanistanMillet",2021,"t",1236.31,null,null,null,null,"Algeria","Carrots and turnips","AlgeriaCarrots and turnips",423941.73200000002,17348.599999999999,"Carrots",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Carrots"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Algeria"},null,null,null,null,"Angola","Persimmons","AngolaPersimmons",0,0,null,null,null,null,"Netherlands","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":0},null,null,null,null,"Argentina","Millet","ArgentinaMillet",3907.3333333333335,2252.6666666666665,null,null,null,null,null,null,null,null,null,"United Republic of Tanzania",162]
[null,null,"Afghanistan","Area harvested","Mustard seed","AfghanistanMustard seed",2017,"ha",586,null,null,null,null,"Algeria","Cauliflowers and broccoli","AlgeriaCauliflowers and broccoli",213979.64799999999,8456,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Cauliflowers and broccoli"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Algeria"},null,null,null,null,"Angola","Pigeon peas","AngolaPigeon peas",0,0,null,null,null,null,"Norway","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":""},null,null,null,null,"Argentina","Mushrooms","ArgentinaMushrooms",0,0,null,null,null,null,null,null,null,null,null,"Uruguay",162]
[null,null,"Afghanistan","Production","Mustard seed","AfghanistanMustard seed",2017,"t",600,null,null,null,null,"Algeria","Cherries","AlgeriaCherries",10326.6,3708,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Cherries"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Algeria"},null,null,null,null,"Angola","Pineapples","AngolaPineapples",594573,45221.333333333336,null,null,null,null,"Poland","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":0},null,null,null,null,"Argentina","Oats","ArgentinaOats",616108,259206.33333333334,null,null,null,null,null,null,null,null,null,"Uzbekistan",162]
[null,null,"Afghanistan","Area harvested","Mustard seed","AfghanistanMustard seed",2018,"ha",1221,null,null,null,null,"Algeria","Chick peas, dry","AlgeriaChick peas, dry",37344.121999999996,34021,"Chickpeas",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Chickpeas"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Algeria"},null,null,null,null,"Angola","Pistachios","AngolaPistachios",0,0,null,null,null,null,"Portugal","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":162151.4},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":28484.799999999999},null,null,null,null,"Argentina","Onions, dry","ArgentinaOnions, dry",641819.66666666663,25266.666666666668,null,null,null,null,null,null,null,null,null,"Vanuatu",162]
[null,null,"Afghanistan","Production","Mustard seed","AfghanistanMustard seed",2018,"t",1300,null,null,null,null,"Algeria","Chillies and peppers, dry (Capsicum spp., Pimenta spp.), raw","AlgeriaChillies and peppers, dry (Capsicum spp., Pimenta spp.), raw",14894.727999999999,4050.6,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Chillies and peppers, dry (Capsicum spp., Pimenta spp.), raw"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Algeria"},null,null,null,null,"Angola","Plantains and others","AngolaPlantains and others",0,0,null,null,null,null,"Romania","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":33070.199999999997},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":7249},null,null,null,null,"Argentina","Oranges","ArgentinaOranges",1019547,46209,null,null,null,null,null,null,null,null,null,"Venezuela (Bolivarian Republic of)",162]
[null,null,"Afghanistan","Area harvested","Mustard seed","AfghanistanMustard seed",2019,"ha",1691,null,null,null,null,"Algeria","Chillies and peppers, green (Capsicum spp. and Pimenta spp.)","AlgeriaChillies and peppers, green (Capsicum spp. and Pimenta spp.)",602125.16599999997,19816.8,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Chillies and peppers, green (Capsicum spp. and Pimenta spp.)"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Algeria"},null,null,null,null,"Angola","Plums and sloes","AngolaPlums and sloes",0,0,null,null,null,null,"Slovakia","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":0},null,null,null,null,"Argentina","Peas (dry)","ArgentinaPeas (dry)",124790.33333333333,65375,null,null,null,null,null,null,null,null,null,"Viet Nam",162]
[null,null,"Afghanistan","Production","Mustard seed","AfghanistanMustard seed",2019,"t",1700,null,null,null,null,"Algeria","Cucumbers and gherkins","AlgeriaCucumbers and gherkins",179710.88400000002,4359.2,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Cucumbers and gherkins"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Algeria"},null,null,null,null,"Angola","Poppy seed","AngolaPoppy seed",0,0,null,null,null,null,"Slovenia","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":0},null,null,null,null,"Argentina","Peppers","ArgentinaPeppers",0,0,null,null,null,null,null,null,null,null,null,"Yemen",162]
[null,null,"Afghanistan","Area harvested","Mustard seed","AfghanistanMustard seed",2020,"ha",1457,null,null,null,null,"Algeria","Dates","AlgeriaDates",1125999.2,169763.4,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Dates"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Algeria"},null,null,null,null,"Angola","Potatoes","AngolaPotatoes",458217.33333333331,63930.333333333336,null,null,null,null,"Spain","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":753849.6},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":100544.8},null,null,null,null,"Argentina","Pineapples","ArgentinaPineapples",3266.3333333333335,178,null,null,null,null,null,null,null,null,null,"Zambia",162]
[null,null,"Afghanistan","Production","Mustard seed","AfghanistanMustard seed",2020,"t",1298,null,null,null,null,"Algeria","Eggplants (aubergines)","AlgeriaEggplants (aubergines)",178590.18,6037.6,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Eggplants (aubergines)"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Algeria"},null,null,null,null,"Angola","Pulses nes","AngolaPulses nes",0,0,null,null,null,null,"Sweden","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":0},null,null,null,null,"Argentina","Potatoes","ArgentinaPotatoes",2426526,75793,null,null,null,null,null,null,null,null,null,"Zimbabwe",162]
[null,null,"Afghanistan","Area harvested","Mustard seed","AfghanistanMustard seed",2021,"ha",1074,null,null,null,null,"Algeria","Figs","AlgeriaFigs",115079.72,39563.4,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Figs"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Algeria"},null,null,null,null,"Angola","Pumpkins, squash and gourds","AngolaPumpkins, squash and gourds",0,0,null,null,null,null,"Switzerland","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":""},null,null,null,null,"Argentina","Quinoa","ArgentinaQuinoa",0,0,null,null,null,null,null,null,null,null,null,"Grand Total",18953]
[null,null,"Afghanistan","Production","Mustard seed","AfghanistanMustard seed",2021,"t",1139,null,null,null,null,"Algeria","Grapes","AlgeriaGrapes",560722.71399999992,68071.199999999997,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Grapes"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Algeria"},null,null,null,null,"Angola","Pyrethrum, dried","AngolaPyrethrum, dried",0,0,null,null,null,null,"Tajikistan","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":100111.652},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":12529.2},null,null,null,null,"Argentina","Rapeseed","ArgentinaRapeseed",41659.333333333336,20574.666666666668]
[null,null,"Afghanistan","Area harvested","Olives","AfghanistanOlives",2017,"ha",2209,null,null,null,null,"Algeria","Green garlic","AlgeriaGreen garlic",183178.41999999998,11865.2,"Garlic (green)",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Garlic (green)"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Algeria"},null,null,null,null,"Angola","Quinces","AngolaQuinces",0,0,null,null,null,null,"Turkey","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":964000},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":122186.8},null,null,null,null,"Argentina","Rye","ArgentinaRye",83824.666666666672,45081.666666666664]
[null,null,"Afghanistan","Production","Olives","AfghanistanOlives",2017,"t",7463.04,null,null,null,null,"Algeria","Groundnuts, excluding shelled","AlgeriaGroundnuts, excluding shelled",12570.8,4751,"Peanuts",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Peanuts"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Algeria"},null,null,null,null,"Angola","Quinoa","AngolaQuinoa",0,0,null,null,null,null,"Ukraine","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":59576},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":11420},null,null,null,null,"Argentina","Sesame seed","ArgentinaSesame seed",0,0]
[null,null,"Afghanistan","Area harvested","Olives","AfghanistanOlives",2018,"ha",2208,null,null,null,null,"Algeria","Lemons and limes","AlgeriaLemons and limes",82578.373999999996,4050,"Lemons",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Lemons"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Algeria"},null,null,null,null,"Angola","Ramie","AngolaRamie",0,0,null,null,null,null,"United Kingdom","Rice",{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Production (t)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),0)","v":0},{"$f":"_xlfn.IFNA(INDEX(ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)],MATCH(TARGET_Countries_RICE_AVERAGE[[#This Row],[Area]]&TARGET_Countries_RICE_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:]&ALL_Countries_ALL_Crops_AVERAGE[Item],0)),\"\")","v":""},null,null,null,null,"Argentina","Sorghum","ArgentinaSorghum",1897270.3333333333,440680.33333333331]
[null,null,"Albania","Production","Grapes","AlbaniaGrapes",2018,"t",184832,null,null,null,null,"Azerbaijan","Other citrus fruit, n.e.c.","AzerbaijanOther citrus fruit, n.e.c.",4301.7860000000001,920.8,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Other citrus fruit, n.e.c."},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Azerbaijan"},null,null,null,null,"Bahamas","Fruit, tropical fresh nes","BahamasFruit, tropical fresh nes",4844.333333333333,704.33333333333337,null,null,null,null,null,null,null,null,null,null,null,null,"Brazil","Oranges","BrazilOranges",17141597.666666668,604010.66666666663]
[null,null,"Algeria","Area harvested","Tomatoes","AlgeriaTomatoes",2020,"ha",26311,null,null,null,null,"Canada","Barley","CanadaBarley",8848467.4000000004,2611200,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Barley"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Canada"},null,null,null,null,"Bolivia (Plurinational State of)","Olives","Bolivia (Plurinational State of)Olives",0,0,null,null,null,null,null,null,null,null,null,null,null,null,"Ethiopia","Cashew nuts","EthiopiaCashew nuts",0,0]
[null,null,"Argentina","Production","Canary seed","ArgentinaCanary seed",2017,"t",44354,null,null,null,null,"Costa Rica","Tomatoes","Costa RicaTomatoes",53198.538,1095.8,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Tomatoes"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Costa Rica"},null,null,null,null,"Burundi","Dates","BurundiDates",0,0,null,null,null,null,null,null,null,null,null,null,null,null,"Kiribati","Sorghum","KiribatiSorghum",0,0]
[null,null,"Armenia","Production","Oats","ArmeniaOats",2021,"t",4071.1,null,null,null,null,"Equatorial Guinea","Oil palm fruit","Equatorial GuineaOil palm fruit",40815.881999999998,4000.6,"Palm fruit",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Palm fruit"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Equatorial Guinea"},null,null,null,null,"Chad","Mustard seed","ChadMustard seed",0,0,null,null,null,null,null,null,null,null,null,null,null,null,"Namibia","Pineapples","NamibiaPineapples",0,0]
[null,null,"Australia","Area harvested","Rice","AustraliaRice",2018,"ha",61151,null,null,null,null,"Guinea-Bissau","Bananas","Guinea-BissauBananas",8402.4160000000011,708.6,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Bananas"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Guinea-Bissau"},null,null,null,null,"Costa Rica","Cinnamon (cannella)","Costa RicaCinnamon (cannella)",0,0,null,null,null,null,null,null,null,null,null,null,null,null,"South Sudan","Avocados","South SudanAvocados",0,0]
[null,null,"Austria","Production","Blueberries","AustriaBlueberries",2020,"t",1570,null,null,null,null,"Hungary","Soya beans","HungarySoya beans",170486.39999999999,63361.4,"Soybeans",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Soybeans"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Hungary"},null,null,null,null,"Cote d'Ivoire","Roots and tubers nes","Cote d'IvoireRoots and tubers nes",40000,2342.6666666666665,null,null,null,null,null,null,null,null,null,null,null,null,"Timor-Leste","Sugar cane","Timor-LesteSugar cane",0,0]
[null,null,"Azerbaijan","Area harvested","Currants","AzerbaijanCurrants",2018,"ha",544,null,null,null,null,"Jordan","Green garlic","JordanGreen garlic",2671.8,122.8,"Garlic (green)",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Garlic (green)"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Jordan"},null,null,null,null,"Egypt","Coir","EgyptCoir",0,0]
[null,null,"Bahrain","Area harvested","Grapes","BahrainGrapes",2019,"ha",48,null,null,null,null,"Malaysia","Groundnuts, excluding shelled","MalaysiaGroundnuts, excluding shelled",213.07199999999997,72.400000000000006,"Peanuts",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Peanuts"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Malaysia"},null,null,null,null,"Ethiopia","Pyrethrum, dried","EthiopiaPyrethrum, dried",0,0]
[null,null,"Barbados","Area harvested","Chillies and peppers, green (Capsicum spp. and Pimenta spp.)","BarbadosChillies and peppers, green (Capsicum spp. and Pimenta spp.)",2020,"ha",21,null,null,null,null,"Nicaragua","Coconuts, in shell","NicaraguaCoconuts, in shell",6480,1548,"Coconuts",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Coconuts"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Nicaragua"},null,null,null,null,"Guatemala","Chestnut","GuatemalaChestnut",0,0]
[null,null,"Belgium","Production","Bananas","BelgiumBananas",2018,"t",0,null,null,null,null,"Poland","Cantaloupes and other melons","PolandCantaloupes and other melons",300,0,"Melons, other (inc.cantaloupes)",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Melons, other (inc.cantaloupes)"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Poland"},null,null,null,null,"Haiti","Pistachios","HaitiPistachios",0,0]
[null,null,"Belize","Area harvested","Bananas","BelizeBananas",2018,"ha",2472,null,null,null,null,"Saint Kitts and Nevis","Chillies and peppers, green (Capsicum spp. and Pimenta spp.)","Saint Kitts and NevisChillies and peppers, green (Capsicum spp. and Pimenta spp.)",87.929999999999993,10.8,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Chillies and peppers, green (Capsicum spp. and Pimenta spp.)"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Saint Kitts and Nevis"},null,null,null,null,"Jamaica","Coir","JamaicaCoir",0,0]
[null,null,"Bhutan","Production","Groundnuts, excluding shelled","BhutanGroundnuts, excluding shelled",2021,"t",47.75,null,null,null,null,"Switzerland","Pumpkins, squash and gourds","SwitzerlandPumpkins, squash and gourds",14941.6,710.4,null,{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Pumpkins, squash and gourds"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"Switzerland"},null,null,null,null,"Lebanon","Peas (dry)","LebanonPeas (dry)",3569.6666666666665,780]
[null,null,"Bolivia (Plurinational State of)","Production","Natural rubber in primary forms","Bolivia (Plurinational State of)Natural rubber in primary forms",2019,"t",4400,null,null,null,null,"United Kingdom of Great Britain and Northern Ireland","Lettuce and chicory","United Kingdom of Great Britain and Northern IrelandLettuce and chicory",108394.48999999999,4731.8,"Lettuce",{"$f":"IF(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]]=\"\",ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Item]],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Corresponding Clune&Poore crop name]])","v":"Lettuce"},{"$f":"IF(COUNTIF(CountryList[FAO country name],ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])>0, INDEX(CountryList[IFC Country],MATCH(ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]],CountryList[FAO country name],0)),ALL_Countries_ALL_Crops_AVERAGE[[#This Row],[Area]])","v":"United Kingdom"},null,null,null,null,"Malaysia","Chestnut","MalaysiaChestnut",0,0]
[null,null,"Brazil","Area harvested","Apples","BrazilApples",2018,"ha",33229,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Micronesia (Federated States of)","Roots and tubers nes","Micronesia (Federated States of)Roots and tubers nes",0,0]
[null,null,"Brazil","Area harvested","Seed cotton, unginned","BrazilSeed cotton, unginned",2020,"ha",1633091,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Myanmar","Carrots","MyanmarCarrots and turnips",0,0]
[null,null,"Bulgaria","Production","Seed cotton, unginned","BulgariaSeed cotton, unginned",2017,"t",4383,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Pakistan","Pyrethrum, dried","PakistanPyrethrum, dried",0,0]
[null,null,"Burundi","Area harvested","Potatoes","BurundiPotatoes",2018,"ha",27097,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Philippines","Beans (dry)","PhilippinesBeans (dry)",36084.333333333336,41747.333333333336]
[null,null,"Cameroon","Production","Figs","CameroonFigs",2020,"t",92.4,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sao Tome and Principe","Pistachios","Sao Tome and PrincipePistachios",0,0]
[null,null,"Cameroon","Production","Tomatoes","CameroonTomatoes",2018,"t",1160830.1000000001,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sierra Leone","Carrots","Sierra LeoneCarrots and turnips",0,0]
[null,null,"Chad","Area harvested","Taro","ChadTaro",2019,"ha",11533,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Tajikistan","Peas (dry)","TajikistanPeas (dry)",11207.333333333334,8828]
[null,null,"Chile","Production","Pomelos and grapefruits","ChilePomelos and grapefruits",2021,"t",994.34,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Tonga","Beans (dry)","TongaBeans (dry)",0,0]
[null,null,"China","Area harvested","Pineapples","ChinaPineapples",2018,"ha",92454,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"United Republic of Tanzania","Olives","United Republic of TanzaniaOlives",0,0]
[null,null,"China, mainland","Production","Broad beans and horse beans, green","China, mainlandBroad beans and horse beans, green",2017,"t",114428.57,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Viet Nam","Apples","Viet NamApples",0,0]
[null,null,"China, mainland","Area harvested","Millet","China, mainlandMillet",2020,"ha",906000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Zambia","Sorghum","ZambiaSorghum",12383.666666666666,18645.666666666668]
[null,null,"China, mainland","Production","Taro","China, mainlandTaro",2018,"t",1859588.02]
[null,null,"Colombia","Production","Cocoa beans","ColombiaCocoa beans",2017,"t",89282]
[null,null,"Congo","Area harvested","Maize (corn)","CongoMaize (corn)",2020,"ha",13000]
[null,null,"Costa Rica","Production","Chillies and peppers, green (Capsicum spp. and Pimenta spp.)","Costa RicaChillies and peppers, green (Capsicum spp. and Pimenta spp.)",2021,"t",584.39]
[null,null,"Croatia","Production","Cereals n.e.c.","CroatiaCereals n.e.c.",2019,"t",1000]
[null,null,"Croatia","Area harvested","Sugar beet","CroatiaSugar beet",2019,"ha",11580]
[null,null,"Cuba","Production","Yams","CubaYams",2018,"t",87468]
[null,null,"Democratic People's Republic of Korea","Area harvested","Other vegetables, fresh n.e.c.","Democratic People's Republic of KoreaOther vegetables, fresh n.e.c.",2019,"ha",169813]
[null,null,"Democratic Republic of the Congo","Area harvested","Lemons and limes","Democratic Republic of the CongoLemons and limes",2019,"ha",458]
[null,null,"Denmark","Production","Cabbages","DenmarkCabbages",2020,"t",43770]
[null,null,"Dominica","Area harvested","Eggplants (aubergines)","DominicaEggplants (aubergines)",2017,"ha",100]
[null,null,"Dominican Republic","Area harvested","Tomatoes","Dominican RepublicTomatoes",2020,"ha",1434]
[null,null,"Egypt","Area harvested","Chick peas, dry","EgyptChick peas, dry",2020,"ha",1650]
[null,null,"Egypt","Production","Wheat","EgyptWheat",2017,"t",8421071]
[null,null,"Estonia","Production","Oranges","EstoniaOranges",2020,"t",0]
[null,null,"Ethiopia","Production","Kenaf, and other textile bast fibres, raw or retted","EthiopiaKenaf, and other textile bast fibres, raw or retted",2017,"t",531.76]
[null,null,"Finland","Production","Artichokes","FinlandArtichokes",2020,"t",0]
[null,null,"France","Production","Bananas","FranceBananas",2018,"t",190750]
[null,null,"Gabon","Area harvested","Chillies and peppers, green (Capsicum spp. and Pimenta spp.)","GabonChillies and peppers, green (Capsicum spp. and Pimenta spp.)",2021,"ha",24]
[null,null,"Gambia","Production","Other pulses n.e.c.","GambiaOther pulses n.e.c.",2018,"t",2476]
[null,null,"Germany","Area harvested","Leeks and other alliaceous vegetables","GermanyLeeks and other alliaceous vegetables",2021,"ha",2420]
[null,null,"Greece","Production","Almonds, in shell","GreeceAlmonds, in shell",2021,"t",26790]
[null,null,"Greece","Area harvested","Soya beans","GreeceSoya beans",2019,"ha",1030]
[null,null,"Guatemala","Production","Buckwheat","GuatemalaBuckwheat",2021,"t",0]
[null,null,"Guinea-Bissau","Area harvested","Millet","Guinea-BissauMillet",2019,"ha",23913]
[null,null,"Haiti","Production","Mangoes, guavas and mangosteens","HaitiMangoes, guavas and mangosteens",2018,"t",461766]
[null,null,"Hungary","Production","Barley","HungaryBarley",2019,"t",1383260]
[null,null,"India","Production","Coconuts, in shell","IndiaCoconuts, in shell",2021,"t",14301000]
[null,null,"Indonesia","Production","Other nuts (excluding wild edible nuts and groundnuts), in shell, n.e.c.","IndonesiaOther nuts (excluding wild edible nuts and groundnuts), in shell, n.e.c.",2019,"t",105984.95]
[null,null,"Iran (Islamic Republic of)","Production","Other stimulant, spice and aromatic crops, n.e.c.","Iran (Islamic Republic of)Other stimulant, spice and aromatic crops, n.e.c.",2017,"t",0]
[null,null,"Iraq","Production","Sorghum","IraqSorghum",2020,"t",3641]
[null,null,"Iraq","Area harvested","Watermelons","IraqWatermelons",2021,"ha",21745]
[null,null,"Italy","Production","Cucumbers and gherkins","ItalyCucumbers and gherkins",2020,"t",60690]
[null,null,"Jamaica","Production","Bananas","JamaicaBananas",2018,"t",66381]
[null,null,"Japan","Area harvested","Other stone fruits","JapanOther stone fruits",2021,"ha",950]
[null,null,"Jordan","Production","Other vegetables, fresh n.e.c.","JordanOther vegetables, fresh n.e.c.",2019,"t",67408]
[null,null,"Kazakhstan","Area harvested","Chicory roots","KazakhstanChicory roots",2018,"ha",97]
[null,null,"Kenya","Area harvested","Beans, dry","KenyaBeans, dry",2018,"ha",1177173]
[null,null,"Kuwait","Production","Okra","KuwaitOkra",2019,"t",9537]
[null,null,"Kyrgyzstan","Area harvested","Rape or colza seed","KyrgyzstanRape or colza seed",2019,"ha",120]
[null,null,"Latvia","Production","Other pulses n.e.c.","LatviaOther pulses n.e.c.",2018,"t",200]
[null,null,"Lebanon","Area harvested","Cucumbers and gherkins","LebanonCucumbers and gherkins",2021,"ha",3615]
[null,null,"Libya","Production","Plums and sloes","LibyaPlums and sloes",2021,"t",54997.15]
[null,null,"Lithuania","Area harvested","Pumpkins, squash and gourds","LithuaniaPumpkins, squash and gourds",2020,"ha",880]
[null,null,"Madagascar","Production","Sorghum","MadagascarSorghum",2018,"t",1342.81]
[null,null,"Malawi","Production","Oranges","MalawiOranges",2017,"t",77943]
[null,null,"Malaysia","Area harvested","Cabbages","MalaysiaCabbages",2017,"ha",3279]
[null,null,"Malta","Area harvested","Cereals n.e.c.","MaltaCereals n.e.c.",2019,"ha",0]
[null,null,"Malta","Production","Pears","MaltaPears",2019,"t",70]
[null,null,"Mexico","Area harvested","Chillies and peppers, green (Capsicum spp. and Pimenta spp.)","MexicoChillies and peppers, green (Capsicum spp. and Pimenta spp.)",2019,"ha",149577]
[null,null,"Mexico","Production","Pumpkins, squash and gourds","MexicoPumpkins, squash and gourds",2017,"t",710632.12]
[null,null,"Morocco","Production","Chillies and peppers, green (Capsicum spp. and Pimenta spp.)","MoroccoChillies and peppers, green (Capsicum spp. and Pimenta spp.)",2021,"t",213135]
[null,null,"Morocco","Area harvested","Peppermint, spearmint","MoroccoPeppermint, spearmint",2018,"ha",3352]
[null,null,"Namibia","Production","Seed cotton, unginned","NamibiaSeed cotton, unginned",2017,"t",0]
[null,null,"Nepal","Area harvested","Persimmons","NepalPersimmons",2018,"ha",374]
[null,null,"Netherlands (Kingdom of the)","Production","Hop cones","Netherlands (Kingdom of the)Hop cones",2018,"t",0]
[null,null,"New Zealand","Area harvested","Wheat","New ZealandWheat",2018,"ha",41411]
[null,null,"Nigeria","Area harvested","Chillies and peppers, dry (Capsicum spp., Pimenta spp.), raw","NigeriaChillies and peppers, dry (Capsicum spp., Pimenta spp.), raw",2017,"ha",36482]
[null,null,"North Macedonia","Production","Cow peas, dry","North MacedoniaCow peas, dry",2021,"t",7614.67]
[null,null,"Norway","Production","Currants","NorwayCurrants",2017,"t",695]
[null,null,"Pakistan","Production","Soya beans","PakistanSoya beans",2021,"t",48]
[null,null,"Palestine","Production","Oats","PalestineOats",2021,"t",0]
[null,null,"Papua New Guinea","Area harvested","Edible roots and tubers with high starch or inulin content, n.e.c., fresh","Papua New GuineaEdible roots and tubers with high starch or inulin content, n.e.c., fresh",2017,"ha",24432]
[null,null,"Paraguay","Area harvested","Watermelons","ParaguayWatermelons",2017,"ha",24099]
[null,null,"Philippines","Production","Abaca, manila hemp, raw","PhilippinesAbaca, manila hemp, raw",2020,"t",68395.100000000006]
[null,null,"Poland","Production","Grapes","PolandGrapes",2021,"t",3700]
[null,null,"Portugal","Area harvested","Maize (corn)","PortugalMaize (corn)",2018,"ha",83360]
[null,null,"Qatar","Area harvested","Cabbages","QatarCabbages",2020,"ha",151]
[null,null,"Qatar","Production","Other beans, green","QatarOther beans, green",2021,"t",152.58000000000001]
[null,null,"Romania","Production","Cabbages","RomaniaCabbages",2019,"t",616930]
[null,null,"Russian Federation","Production","Anise, badian, coriander, cumin, caraway, fennel and juniper berries, raw","Russian FederationAnise, badian, coriander, cumin, caraway, fennel and juniper berries, raw",2021,"t",90062.6]
[null,null,"Rwanda","Area harvested","Other stimulant, spice and aromatic crops, n.e.c.","RwandaOther stimulant, spice and aromatic crops, n.e.c.",2020,"ha",57]
[null,null,"Rwanda","Production","Peas, dry","RwandaPeas, dry",2017,"t",12419.22]
[null,null,"Saudi Arabia","Production","Groundnuts, excluding shelled","Saudi ArabiaGroundnuts, excluding shelled",2019,"t",2014.95]
[null,null,"Saudi Arabia","Production","Tomatoes","Saudi ArabiaTomatoes",2017,"t",306389]
[null,null,"Serbia","Production","Rye","SerbiaRye",2017,"t",11248]
[null,null,"Slovakia","Production","Apricots","SlovakiaApricots",2017,"t",333]
[null,null,"Slovenia","Production","Cherries","SloveniaCherries",2020,"t",1970]
[null,null,"Slovenia","Area harvested","Triticale","SloveniaTriticale",2017,"ha",5032]
[null,null,"South Africa","Area harvested","Sweet potatoes","South AfricaSweet potatoes",2018,"ha",30943]
[null,null,"Spain","Production","Bananas","SpainBananas",2021,"t",409110]
[null,null,"Sri Lanka","Production","Lemons and limes","Sri LankaLemons and limes",2017,"t",6191]
[null,null,"Suriname","Production","Cabbages","SurinameCabbages",2017,"t",1223]
[null,null,"Sweden","Area harvested","Broad beans and horse beans, dry","SwedenBroad beans and horse beans, dry",2017,"ha",30490]
[null,null,"Syrian Arab Republic","Area harvested","Lentils, dry","Syrian Arab RepublicLentils, dry",2021,"ha",110821]
[null,null,"Syrian Arab Republic","Production","Peaches and nectarines","Syrian Arab RepublicPeaches and nectarines",2019,"t",48031]
[null,null,"Thailand","Area harvested","Broad beans and horse beans, green","ThailandBroad beans and horse beans, green",2017,"ha",302]
[null,null,"Timor-Leste","Area harvested","Mangoes, guavas and mangosteens","Timor-LesteMangoes, guavas and mangosteens",2021,"ha",777]
[null,null,"Trinidad and Tobago","Production","Yams","Trinidad and TobagoYams",2017,"t",34]
[null,null,"Tunisia","Area harvested","Linseed","TunisiaLinseed",2020,"ha",1088]
[null,null,"Turkmenistan","Area harvested","Almonds, in shell","TurkmenistanAlmonds, in shell",2021,"ha",1491]
[null,null,"Uganda","Area harvested","Pigeon peas, dry","UgandaPigeon peas, dry",2020,"ha",49131]
[null,null,"Ukraine","Area harvested","Gooseberries","UkraineGooseberries",2017,"ha",500]
[null,null,"United Kingdom of Great Britain and Northern Ireland","Production","Other pulses n.e.c.","United Kingdom of Great Britain and Northern IrelandOther pulses n.e.c.",2021,"t",272162.45]
[null,null,"United Republic of Tanzania","Area harvested","Peas, green","United Republic of TanzaniaPeas, green",2018,"ha",5417]
[null,null,"United States of America","Production","Sour cherries","United States of AmericaSour cherries",2019,"t",118296.79]
[null,null,"Uzbekistan","Production","Peaches and nectarines","UzbekistanPeaches and nectarines",2017,"t",193326]
[null,null,"Venezuela (Bolivarian Republic of)","Production","Edible roots and tubers with high starch or inulin content, n.e.c., fresh","Venezuela (Bolivarian Republic of)Edible roots and tubers with high starch or inulin content, n.e.c., fresh",2017,"t",63736.79]
[null,null,"Venezuela (Bolivarian Republic of)","Area harvested","Yams","Venezuela (Bolivarian Republic of)Yams",2020,"ha",5063]
[null,null,"Yemen","Production","Lentils, dry","YemenLentils, dry",2021,"t",11598]
[null,null,"Zimbabwe","Production","Edible roots and tubers with high starch or inulin content, n.e.c., fresh","ZimbabweEdible roots and tubers with high starch or inulin content, n.e.c., fresh",2020,"t",1200]
[null,null,"Zimbabwe","Production","Tomatoes","ZimbabweTomatoes",2021,"t",26562.41]
[null,null,"Zimbabwe","Area harvested","Unmanufactured tobacco","ZimbabweUnmanufactured tobacco",2017,"ha",118967]
[null,null,"Zimbabwe","Production","Unmanufactured tobacco","ZimbabweUnmanufactured tobacco",2017,"t",110816]
[null,null,"Zimbabwe","Area harvested","Unmanufactured tobacco","ZimbabweUnmanufactured tobacco",2018,"ha",136412]
[null,null,"Zimbabwe","Production","Unmanufactured tobacco","ZimbabweUnmanufactured tobacco",2018,"t",239906]
[null,null,"Zimbabwe","Area harvested","Unmanufactured tobacco","ZimbabweUnmanufactured tobacco",2019,"ha",97138]
[null,null,"Zimbabwe","Production","Unmanufactured tobacco","ZimbabweUnmanufactured tobacco",2019,"t",184584]
[null,null,"Zimbabwe","Area harvested","Unmanufactured tobacco","ZimbabweUnmanufactured tobacco",2020,"ha",104759]
[null,null,"Zimbabwe","Production","Unmanufactured tobacco","ZimbabweUnmanufactured tobacco",2020,"t",203488]
[null,null,"Zimbabwe","Area harvested","Unmanufactured tobacco","ZimbabweUnmanufactured tobacco",2021,"ha",99029]
[null,null,"Zimbabwe","Production","Unmanufactured tobacco","ZimbabweUnmanufactured tobacco",2021,"t",162370]
[null,null,"Zimbabwe","Area harvested","Vanilla, raw","ZimbabweVanilla, raw",2017,"ha",23]
[null,null,"Zimbabwe","Production","Vanilla, raw","ZimbabweVanilla, raw",2017,"t",9.98]
[null,null,"Zimbabwe","Area harvested","Vanilla, raw","ZimbabweVanilla, raw",2018,"ha",23]
[null,null,"Zimbabwe","Production","Vanilla, raw","ZimbabweVanilla, raw",2018,"t",9.94]
[null,null,"Zimbabwe","Area harvested","Vanilla, raw","ZimbabweVanilla, raw",2019,"ha",23]
[null,null,"Zimbabwe","Production","Vanilla, raw","ZimbabweVanilla, raw",2019,"t",9.8800000000000008]
[null,null,"Zimbabwe","Area harvested","Vanilla, raw","ZimbabweVanilla, raw",2020,"ha",23]
[null,null,"Zimbabwe","Production","Vanilla, raw","ZimbabweVanilla, raw",2020,"t",9.93]
[null,null,"Zimbabwe","Area harvested","Vanilla, raw","ZimbabweVanilla, raw",2021,"ha",23]
[null,null,"Zimbabwe","Production","Vanilla, raw","ZimbabweVanilla, raw",2021,"t",9.92]
[null,null,"Zimbabwe","Area harvested","Wheat","ZimbabweWheat",2017,"ha",22070]
[null,null,"Zimbabwe","Production","Wheat","ZimbabweWheat",2017,"t",38715]
[null,null,"Zimbabwe","Area harvested","Wheat","ZimbabweWheat",2018,"ha",16558]
[null,null,"Zimbabwe","Production","Wheat","ZimbabweWheat",2018,"t",45000]
[null,null,"Zimbabwe","Area harvested","Wheat","ZimbabweWheat",2019,"ha",24186]
[null,null,"Zimbabwe","Production","Wheat","ZimbabweWheat",2019,"t",94685]
[null,null,"Zimbabwe","Area harvested","Wheat","ZimbabweWheat",2020,"ha",44466]
[null,null,"Zimbabwe","Production","Wheat","ZimbabweWheat",2020,"t",212530]
[null,null,"Zimbabwe","Area harvested","Wheat","ZimbabweWheat",2021,"ha",66434]
[null,null,"Zimbabwe","Production","Wheat","ZimbabweWheat",2021,"t",337212]

{"sheet":"Lists","index":53,"n_rows":97,"n_cols":4,"rows_kept":97,"cut":false,"hidden":true,"merged":[]}
[]
[]
[null,"Nitrogen conversions"]
[null,1000000,"Convert from Gigagrams to kg"]
[null,265,"N2O GWP"]
[null,{"$f":"28/44","v":0.63636363636363635},"N2O to N2"]
[]
[]
[null,"Nitrogen list"]
[null,"User N options:"]
[null,"kg of Nitrogen per tonne of production (kg N/tonne)"]
[null,"kg of Nitrogen per hectare (kg N/ha)"]
[]
[]
[null,"Description of losses at each stage"]
[null,"Harvest and post-harvest losses (e.g. food preparation peeling, cutting, washing), plastic crates instead of bags for crops, temporary on-farm storage"]
[null,"Slaughter and post-slaughter losses or losses occurred during initial processing (may be on farm or remote facility)"]
[null,"Post-farm losses, losses at the milking parlour or losses occurred during initial processing (may be on farm or remote facility)"]
[null,"Losses during transport from farm to storage or sale"]
[null,"Losses during transport from initial processing or slaughter to storage or sale"]
[null,"Losses during transport from initial processing to storage or sale"]
[null,"Losses occuring in a dedicated storage facility (e.g. silos, warehouses, cooling facilities, etc.). May be on farm or off-site."]
[null,"Losses during dedicated storage following initial processing or slaughter"]
[null,"Losses during dedicated storage following initial processing"]
[null,"Losses during processing"]
[null,"Losses during transport from processing site"]
[null,"Losses occuring in a dedicated storage facility after being processed"]
[null,"Losses occuring at retail sites"]
[]
[]
[null,"Storage energy"]
[null,"Ambient"]
[null,"Temperature controlled"]
[]
[]
[null,"Animal protein","Interface Farming Type","Corresponding Farming Type"]
[null,"Meat (cattle)","Aggregated (if type unknown)","Aggregated"]
[null,"Meat (cattle)","Grassland (mostly extensive grazing)","Grassland"]
[null,"Meat (cattle)","Mixed (grazing and grains)","Mixed"]
[null,"Meat (cattle)","Grass+lot (grazed with feedlot finishing)","Grass+lot"]
[null,"Meat (cattle)","Mixed+lot (mixed with feedlot finishing)","Mixed+lot"]
[null,"Meat (pig)","Aggregated (if type unknown)","Aggregated"]
[null,"Meat (pig)","Backyard (small-scale at home)","Backyard"]
[null,"Meat (pig)","Intermediate (semi-industrialised)","Intermediate"]
[null,"Meat (pig)","Industrial","Industrial"]
[null,"Meat (chicken)","Aggregated (if type unknown)","Aggregated"]
[null,"Meat (chicken)","Backyard (small-scale at home)","Backyard"]
[null,"Meat (chicken)","Layers (sold for meat)","Layers"]
[null,"Meat (chicken)","Broilers","Broilers"]
[null,"Milk (cattle)","Aggregated (if type unknown)","Aggregated"]
[null,"Milk (cattle)","Grassland (mostly extensive grazing)","Grassland"]
[null,"Milk (cattle)","Mixed (grazing and grains)","Mixed"]
[null,"Eggs","Aggregated (if type unknown)","Aggregated"]
[null,"Eggs","Backyard (small-scale at home)","Backyard"]
[null,"Eggs","Layers (industrial)","Layers"]
[null,"Live animal (cattle)","Aggregated (if type unknown)","Aggregated"]
[null,"Live animal (cattle)","Grassland (mostly extensive grazing)","Grassland"]
[null,"Live animal (cattle)","Mixed (grazing and grains)","Mixed"]
[null,"Live animal (cattle)","Grass+lot (grazed with feedlot finishing)","Grass+lot"]
[null,"Live animal (cattle)","Mixed+lot (mixed with feedlot finishing)","Mixed+lot"]
[null,"Live animal (pig)","Aggregated (if type unknown)","Aggregated"]
[null,"Live animal (pig)","Backyard (small-scale at home)","Backyard"]
[null,"Live animal (pig)","Intermediate (semi-industrialised)","Intermediate"]
[null,"Live animal (pig)","Industrial","Industrial"]
[null,"Live animal (chicken)","Aggregated (if type unknown)","Aggregated"]
[null,"Live animal (chicken)","Backyard (small-scale at home)","Backyard"]
[null,"Live animal (chicken)","Layers (sold for meat)","Layers"]
[null,"Live animal (chicken)","Broilers","Broilers"]
[null,"Yoghurt","Aggregated (if type unknown)","Aggregated"]
[null,"Yoghurt","Grassland (mostly extensive grazing)","Grassland"]
[null,"Yoghurt","Mixed (grazing and grains)","Mixed"]
[null,"Cheese","Aggregated (if type unknown)","Aggregated"]
[null,"Cheese","Grassland (mostly extensive grazing)","Grassland"]
[null,"Cheese","Mixed (grazing and grains)","Mixed"]
[null,"Butter","Aggregated (if type unknown)","Aggregated"]
[null,"Butter","Grassland (mostly extensive grazing)","Grassland"]
[null,"Butter","Mixed (grazing and grains)","Mixed"]
[null,"Tuna"]
[null,"Salmon"]
[null,"Shrimp"]
[null,"Tilapia"]
[null,"Catfish"]
[]
[null,"Livestock list","<< defines production type drop-down list in interface tab"]
[null,{"$f":"IF(_xlfn._xlws.FILTER(C37:C82,B37:B82=commodity)=0,\"\",_xlfn._xlws.FILTER(C37:C82,B37:B82=commodity))","v":{"$error":"#VALUE!"}}]
[]
[]
[]
[]
[]
[null,"Impact results tab Additional comments:"]
[null,"The results above are calculated using default values as a baseline rate for food loss before the project, and might not be reflective of site-specific conditions. Please provide the actual food loss rate prior to implementing the project to improve the accuracy of this result."]
[null,"The loss rate before the project (estimated from default values) is lower than the loss rate reported after the project, and it is therefore not possible to calculate emission savings. Please provide the actual food loss rate prior to implementing the project to improve the accuracy of this result."]
[null,"Loss rates before the project (estimated from default values) are lower than the loss rate reported after the project, and it is therefore not possible to calculate emission savings. Please provide the actual food loss rates prior to implementing the transport intervention(s) to improve the accuracy of this result."]
[]
[null,"Notes"]
[null,"Select countries below"]

{"sheet":"Livestock lists","index":54,"n_rows":2,"n_cols":2,"rows_kept":2,"cut":false,"hidden":true,"merged":[]}
[]
[null,"Animal protein production type"]

{"sheet":"Analysis ->>","index":55,"n_rows":7,"n_cols":2,"rows_kept":7,"cut":false,"hidden":true,"merged":[]}
[]
[]
[]
[]
[]
[]
[null,"This sheet is left intentionally empty. Every worksheet on the right of this worksheet is filled with the analysis of data."]

{"sheet":"NitrogenEmissions","index":56,"n_rows":164,"n_cols":23,"rows_kept":164,"cut":false,"hidden":true,"merged":[[1,14,1,16],[2,20,2,22],[1,20,1,22],[1,17,1,18]]}
[]
[null,null,null,"Fixed at 5 year average national FAO figure to avoid circular reference",null,null,null,null,null,null,"N2O to CO2e (AR5)",265,null,null,"Default or user defined values for N/ha, N/tonne and yield/ha. Both or just one can be provided by user. If not provided, use FAO virtual values to the left.",null,null,"Adjust the total emissions up or down if user yield varies. This simulates relative increase or decrease in emissions for the fixed total production and ha we start with - and so will adjust up or down the per kg EF",null,null,"TOTAL Synthetic Fertilizers Gg CO2e per country adjusted for any user-defined input and selecting either N/t or N/ha"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"total kt N2O as CO2e","total kt N2O as CO2e",null,"Synthetic Fertilizers"]
[null,"Country","Region","FAO Synthetic Fertilizer in-use (Gg CO2e from N2O)","Total production (tonnes)","Production area (ha)","Virtual kg N per tonne production (N2O-N -> N)","Virtual kg N per ha","FAO Virtual yield t/ha",null,"Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)","Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizer manufacturing -  Emissions (N2O)",null,"Default or user defined kg N/t crop","Default or user defined kg N/ha","Default or user defined yield (t/ha)","Default or user-defined N/t implies Gg Synthetic Fertilizer N2O CO2e (possible alternative to col D)","Default or user-defined N/ha implies Gg Synthetic Fertilizer N2O CO2e (possible alternative to col D)",null,"Synthetic Fertilizers - Emissions (CO2eq) (AR5)","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers - Emissions (N2O)"]
[null,"Algeria",{"$f":"INDEX(Countries[Region],MATCH(defaultNorYield[[#This Row],[Country]],Countries[Country],0))","v":"Middle East and North Africa"},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],\"Synthetic Fertilizers - Emissions (CO2eq) (AR5)\",Emissions_ALL_Countries[Area],defaultNorYield[[#This Row],[Country]]),0)","v":387.35050000000001},{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:],defaultNorYield[[#This Row],[Country]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":24278265.947999999},{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:],defaultNorYield[[#This Row],[Country]],ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)])","v":4526653.3999999985},{"$f":"IFERROR((((D5*GigaGramToKg)/($L$2*N2O_TO_N))/1%)/E5,0)","v":9.4609604647088172},{"$f":"IFERROR((((D5*GigaGramToKg)/($L$2*N2O_TO_N))/1%)/F5,0)","v":50.742942741256577},{"$f":"IFERROR(defaultNorYield[[#This Row],[Total production (tonnes)]]/defaultNorYield[[#This Row],[Production area (ha)]],0)","v":5.3634028945092211},null,{"$f":"(INDEX(FertilizerManufacturing!$C$7:$D$18,MATCH(defaultNorYield[[#This Row],[Region]],FertilizerManufacturing!$C$7:$C$18,0),2)*userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]]/1000)*defaultNorYield[[#This Row],[Total production (tonnes)]]/1000","v":{"$error":"#N/A"}},{"$f":"K5","v":{"$error":"#N/A"}},{"$f":"L5/$L$2","v":{"$error":"#N/A"}},null,{"$f":"IF(AND(nitrogenMeasurement=NperTonne,userN<>defaultNorYield[[#This Row],[Virtual kg N per tonne production (N2O-N -> N)]],defaultNorYield[[#This Row],[Country]]=countryOfProduction),userN,defaultNorYield[[#This Row],[Virtual kg N per tonne production (N2O-N -> N)]])","v":{"$error":"#N/A"}},{"$f":"IF(AND(nitrogenMeasurement=NperHa,userN<>defaultNorYield[[#This Row],[Virtual kg N per ha]],defaultNorYield[[#This Row],[Country]]=countryOfProduction),userN,defaultNorYield[[#This Row],[Virtual kg N per ha]])","v":{"$error":"#N/A"}},{"$f":"IF(AND(userYield>0,userYield<>Emissions_Fertiliser_Manufacturing[[#This Row],[Synthetic Fertilizer manufacturing -  Emissions (N2O)]],defaultNorYield[[#This Row],[Country]]=countryOfProduction),userYield,defaultNorYield[[#This Row],[FAO Virtual yield t/ha]])","v":{"$error":"#N/A"}},{"$f":"((Emissions_Fertiliser_Manufacturing[[#This Row],[Synthetic Fertilizer manufacturing -  Emissions (N2O)]]/userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])*userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]]*defaultNorYield[[#This Row],[Total production (tonnes)]]*1%*$L$2*(N2O_TO_N))/GigaGramToKg","v":{"$error":"#N/A"}},{"$f":"((Emissions_Fertiliser_Manufacturing[[#This Row],[Synthetic Fertilizer manufacturing -  Emissions (N2O)]]/userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]]*defaultNorYield[[#This Row],[Production area (ha)]]*1%*$L$2*N2O_TO_N)/GigaGramToKg","v":{"$error":"#N/A"}},null,{"$f":"IFERROR(IF(nitrogenMeasurement=NperTonne,R5,S5),0)","v":0},{"$f":"synthFertTotalEmissions[[#This Row],[Synthetic Fertilizers - Emissions (CO2eq) (AR5)]]","v":0},{"$f":"V5/$L$2","v":0}]
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[null,"Armenia",{"$f":"INDEX(Countries[Region],MATCH(defaultNorYield[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],\"Synthetic Fertilizers - Emissions (CO2eq) (AR5)\",Emissions_ALL_Countries[Area],defaultNorYield[[#This Row],[Country]]),0)","v":497.16649999999998},{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:],defaultNorYield[[#This Row],[Country]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":2094500.1000000003},{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:],defaultNorYield[[#This Row],[Country]],ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)])","v":234504.59999999998},140.75707816185556,1257.1852078198651,{"$f":"IFERROR(defaultNorYield[[#This Row],[Total production (tonnes)]]/defaultNorYield[[#This Row],[Production area (ha)]],0)","v":8.9315949452590715},null,{"$f":"(INDEX(FertilizerManufacturing!$C$7:$D$18,MATCH(defaultNorYield[[#This Row],[Region]],FertilizerManufacturing!$C$7:$C$18,0),2)*userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]]/1000)*defaultNorYield[[#This Row],[Total production (tonnes)]]/1000","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},null,{"$f":"IF(AND(nitrogenMeasurement=NperTonne,userN<>defaultNorYield[[#This Row],[Virtual kg N per tonne production (N2O-N -> N)]],defaultNorYield[[#This Row],[Country]]=countryOfProduction),userN,defaultNorYield[[#This Row],[Virtual kg N per tonne production (N2O-N -> N)]])","v":{"$error":"#N/A"}},{"$f":"IF(AND(nitrogenMeasurement=NperHa,userN<>defaultNorYield[[#This Row],[Virtual kg N per ha]],defaultNorYield[[#This Row],[Country]]=countryOfProduction),userN,defaultNorYield[[#This Row],[Virtual kg N per ha]])","v":{"$error":"#N/A"}},{"$f":"IF(AND(userYield>0,userYield<>Emissions_Fertiliser_Manufacturing[[#This Row],[Synthetic Fertilizer manufacturing -  Emissions (N2O)]],defaultNorYield[[#This Row],[Country]]=countryOfProduction),userYield,defaultNorYield[[#This Row],[FAO Virtual yield t/ha]])","v":{"$error":"#N/A"}},{"$f":"((Emissions_Fertiliser_Manufacturing[[#This Row],[Synthetic Fertilizer manufacturing -  Emissions (N2O)]]/userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])*userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]]*defaultNorYield[[#This Row],[Total production (tonnes)]]*1%*$L$2*(N2O_TO_N))/GigaGramToKg","v":{"$error":"#N/A"}},{"$f":"((Emissions_Fertiliser_Manufacturing[[#This Row],[Synthetic Fertilizer manufacturing -  Emissions (N2O)]]/userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]]*defaultNorYield[[#This Row],[Production area (ha)]]*1%*$L$2*N2O_TO_N)/GigaGramToKg","v":{"$error":"#N/A"}},null,0,{"$f":"synthFertTotalEmissions[[#This Row],[Synthetic Fertilizers - Emissions (CO2eq) (AR5)]]","v":0},0]
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[null,"Yemen",{"$f":"INDEX(Countries[Region],MATCH(defaultNorYield[[#This Row],[Country]],Countries[Country],0))","v":"Middle East and North Africa"},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],\"Synthetic Fertilizers - Emissions (CO2eq) (AR5)\",Emissions_ALL_Countries[Area],defaultNorYield[[#This Row],[Country]]),0)","v":46.502200000000002},{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:],defaultNorYield[[#This Row],[Country]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":2891229.1100000008},{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:],defaultNorYield[[#This Row],[Country]],ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)])","v":1024587.85},9.5376144616323977,26.913679067567095,{"$f":"IFERROR(defaultNorYield[[#This Row],[Total production (tonnes)]]/defaultNorYield[[#This Row],[Production area (ha)]],0)","v":2.8218459842169716},null,{"$f":"(INDEX(FertilizerManufacturing!$C$7:$D$18,MATCH(defaultNorYield[[#This Row],[Region]],FertilizerManufacturing!$C$7:$C$18,0),2)*userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]]/1000)*defaultNorYield[[#This Row],[Total production (tonnes)]]/1000","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},null,{"$f":"IF(AND(nitrogenMeasurement=NperTonne,userN<>defaultNorYield[[#This Row],[Virtual kg N per tonne production (N2O-N -> N)]],defaultNorYield[[#This Row],[Country]]=countryOfProduction),userN,defaultNorYield[[#This Row],[Virtual kg N per tonne production (N2O-N -> N)]])","v":{"$error":"#N/A"}},{"$f":"IF(AND(nitrogenMeasurement=NperHa,userN<>defaultNorYield[[#This Row],[Virtual kg N per ha]],defaultNorYield[[#This Row],[Country]]=countryOfProduction),userN,defaultNorYield[[#This Row],[Virtual kg N per ha]])","v":{"$error":"#N/A"}},{"$f":"IF(AND(userYield>0,userYield<>Emissions_Fertiliser_Manufacturing[[#This Row],[Synthetic Fertilizer manufacturing -  Emissions (N2O)]],defaultNorYield[[#This Row],[Country]]=countryOfProduction),userYield,defaultNorYield[[#This Row],[FAO Virtual yield t/ha]])","v":{"$error":"#N/A"}},{"$f":"((Emissions_Fertiliser_Manufacturing[[#This Row],[Synthetic Fertilizer manufacturing -  Emissions (N2O)]]/userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])*userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]]*defaultNorYield[[#This Row],[Total production (tonnes)]]*1%*$L$2*(N2O_TO_N))/GigaGramToKg","v":{"$error":"#N/A"}},{"$f":"((Emissions_Fertiliser_Manufacturing[[#This Row],[Synthetic Fertilizer manufacturing -  Emissions (N2O)]]/userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]]*defaultNorYield[[#This Row],[Production area (ha)]]*1%*$L$2*N2O_TO_N)/GigaGramToKg","v":{"$error":"#N/A"}},null,0,{"$f":"synthFertTotalEmissions[[#This Row],[Synthetic Fertilizers - Emissions (CO2eq) (AR5)]]","v":0},0]
[null,"Zambia",{"$f":"INDEX(Countries[Region],MATCH(defaultNorYield[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],\"Synthetic Fertilizers - Emissions (CO2eq) (AR5)\",Emissions_ALL_Countries[Area],defaultNorYield[[#This Row],[Country]]),0)","v":989.53649999999993},{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:],defaultNorYield[[#This Row],[Country]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":13398226.136},{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:],defaultNorYield[[#This Row],[Country]],ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)])","v":2495231.0000000005},43.795882895310378,235.16345494951878,{"$f":"IFERROR(defaultNorYield[[#This Row],[Total production (tonnes)]]/defaultNorYield[[#This Row],[Production area (ha)]],0)","v":5.3695333762685689},null,{"$f":"(INDEX(FertilizerManufacturing!$C$7:$D$18,MATCH(defaultNorYield[[#This Row],[Region]],FertilizerManufacturing!$C$7:$C$18,0),2)*userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]]/1000)*defaultNorYield[[#This Row],[Total production (tonnes)]]/1000","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},null,{"$f":"IF(AND(nitrogenMeasurement=NperTonne,userN<>defaultNorYield[[#This Row],[Virtual kg N per tonne production (N2O-N -> N)]],defaultNorYield[[#This Row],[Country]]=countryOfProduction),userN,defaultNorYield[[#This Row],[Virtual kg N per tonne production (N2O-N -> N)]])","v":{"$error":"#N/A"}},{"$f":"IF(AND(nitrogenMeasurement=NperHa,userN<>defaultNorYield[[#This Row],[Virtual kg N per ha]],defaultNorYield[[#This Row],[Country]]=countryOfProduction),userN,defaultNorYield[[#This Row],[Virtual kg N per ha]])","v":{"$error":"#N/A"}},{"$f":"IF(AND(userYield>0,userYield<>Emissions_Fertiliser_Manufacturing[[#This Row],[Synthetic Fertilizer manufacturing -  Emissions (N2O)]],defaultNorYield[[#This Row],[Country]]=countryOfProduction),userYield,defaultNorYield[[#This Row],[FAO Virtual yield t/ha]])","v":{"$error":"#N/A"}},{"$f":"((Emissions_Fertiliser_Manufacturing[[#This Row],[Synthetic Fertilizer manufacturing -  Emissions (N2O)]]/userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])*userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]]*defaultNorYield[[#This Row],[Total production (tonnes)]]*1%*$L$2*(N2O_TO_N))/GigaGramToKg","v":{"$error":"#N/A"}},{"$f":"((Emissions_Fertiliser_Manufacturing[[#This Row],[Synthetic Fertilizer manufacturing -  Emissions (N2O)]]/userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]]*defaultNorYield[[#This Row],[Production area (ha)]]*1%*$L$2*N2O_TO_N)/GigaGramToKg","v":{"$error":"#N/A"}},null,0,{"$f":"synthFertTotalEmissions[[#This Row],[Synthetic Fertilizers - Emissions (CO2eq) (AR5)]]","v":0},0]
[null,"Zimbabwe",{"$f":"INDEX(Countries[Region],MATCH(defaultNorYield[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],\"Synthetic Fertilizers - Emissions (CO2eq) (AR5)\",Emissions_ALL_Countries[Area],defaultNorYield[[#This Row],[Country]]),0)","v":269.04919999999998},{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:],defaultNorYield[[#This Row],[Country]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":6608848.3539999994},{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:],defaultNorYield[[#This Row],[Country]],ALL_Countries_ALL_Crops_AVERAGE[Area harvested (ha)])","v":2203650.5999999996},24.140968509806424,72.399862301219628,{"$f":"IFERROR(defaultNorYield[[#This Row],[Total production (tonnes)]]/defaultNorYield[[#This Row],[Production area (ha)]],0)","v":2.9990454720907209},null,{"$f":"(INDEX(FertilizerManufacturing!$C$7:$D$18,MATCH(defaultNorYield[[#This Row],[Region]],FertilizerManufacturing!$C$7:$C$18,0),2)*userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]]/1000)*defaultNorYield[[#This Row],[Total production (tonnes)]]/1000","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},null,{"$f":"IF(AND(nitrogenMeasurement=NperTonne,userN<>defaultNorYield[[#This Row],[Virtual kg N per tonne production (N2O-N -> N)]],defaultNorYield[[#This Row],[Country]]=countryOfProduction),userN,defaultNorYield[[#This Row],[Virtual kg N per tonne production (N2O-N -> N)]])","v":{"$error":"#N/A"}},{"$f":"IF(AND(nitrogenMeasurement=NperHa,userN<>defaultNorYield[[#This Row],[Virtual kg N per ha]],defaultNorYield[[#This Row],[Country]]=countryOfProduction),userN,defaultNorYield[[#This Row],[Virtual kg N per ha]])","v":{"$error":"#N/A"}},{"$f":"IF(AND(userYield>0,userYield<>Emissions_Fertiliser_Manufacturing[[#This Row],[Synthetic Fertilizer manufacturing -  Emissions (N2O)]],defaultNorYield[[#This Row],[Country]]=countryOfProduction),userYield,defaultNorYield[[#This Row],[FAO Virtual yield t/ha]])","v":{"$error":"#N/A"}},{"$f":"((Emissions_Fertiliser_Manufacturing[[#This Row],[Synthetic Fertilizer manufacturing -  Emissions (N2O)]]/userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])*userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]]*defaultNorYield[[#This Row],[Total production (tonnes)]]*1%*$L$2*(N2O_TO_N))/GigaGramToKg","v":{"$error":"#N/A"}},{"$f":"((Emissions_Fertiliser_Manufacturing[[#This Row],[Synthetic Fertilizer manufacturing -  Emissions (N2O)]]/userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]]*defaultNorYield[[#This Row],[Production area (ha)]]*1%*$L$2*N2O_TO_N)/GigaGramToKg","v":{"$error":"#N/A"}},null,0,{"$f":"synthFertTotalEmissions[[#This Row],[Synthetic Fertilizers - Emissions (CO2eq) (AR5)]]","v":0},0]

{"sheet":"Rice","index":57,"n_rows":167,"n_cols":18,"rows_kept":167,"cut":false,"hidden":true,"merged":[[0,0,0,1],[1,0,1,1],[2,0,2,1],[27,17,28,17],[27,14,28,14],[27,15,28,15],[27,16,28,16],[1,9,3,10],[1,11,3,12],[4,10,4,11]]}
["FAOSTAT data"]
["Clune/Poore data",null,null,null,null,null,null,null,null,"For gaps (either because data is missing or because rice is not cultivated in that country) regional weighted averages were used.",null,"For EFs higher than CLUNE's MAX or lower than CLUNE's MIN, the EFs were capped to these values."]
["Calculation based on both of the above"]
[null,null,null,"Rice Emissions (2017-2021) / Production (2017-2021)  = Emission factor Rice"]
[null,null,null,null,null,null,null,null,null,null,"This EF is both \"CO2e\" and \"CO2e from CH4\" as the Rice emissions are 100% from CH4."]
["Country","Region","Crop","Production 2017-2021 (t)","Rice Emissions 2017-2019 (t CO2e)","Rice Emissions (t CO2e) from CH4","Rice Emissions (t CO2e) from N2O","Emission factor Rice (tCO2e/t)","% Country Production / Total Regional Production","contribution to regional weighted average emission factor","Emission factor Rice (Regional average for gaps) (tCO2e/t)","Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)","Type of EF calculation",null,"Region","Total regional production (t)","Regional Emission factor Rice (tCO2eq/t)","Weighted Regional Emission factor Rice (tCO2e/t)"]
["Algeria",{"$f":"INDEX(Countries[Region],MATCH(EF!B164,Countries[Country],0))","v":"Middle East and North Africa"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":307.95999999999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1323.84},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1323.84},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":4.2987400961163784},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":1.8790685585290319E-5},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":8.0776273559003548E-5},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":4.2987400961163784},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":4.2987400961163784},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"},null,"Africa",{"$f":"SUMIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":30203646.963999994},{"$f":"AVERAGEIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[Emission factor Rice (tCO2e/t)])","v":880.62370083675478},{"$f":"SUMIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[contribution to regional weighted average emission factor])","v":1.2016147812632743}]
["Angola",{"$f":"INDEX(Countries[Region],MATCH(EF!B11,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":10061.6},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":70414.959999999992},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":70414.959999999992},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":6.9983859425936226},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":3.3312533456613747E-4},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":2.3313396585494537E-3},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":6.9983859425936226},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":5.69},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"},null,"Latin America and Caribbean",{"$f":"SUMIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":29830355.891999997},{"$f":"AVERAGEIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[Emission factor Rice (tCO2e/t)])","v":1.0107658359478935},{"$f":"SUMIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[contribution to regional weighted average emission factor])","v":0.83675324325225486}]
["Antigua and Barbuda",{"$f":"INDEX(Countries[Region],MATCH(EF!B12,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.83675324325225486},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.83675324325225486},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"},null,"South Asia",{"$f":"SUMIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":272083006.03400004},{"$f":"AVERAGEIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[Emission factor Rice (tCO2e/t)])","v":0.78681320754614381},{"$f":"SUMIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[contribution to regional weighted average emission factor])","v":0.74067079064400354}]
["Argentina",{"$f":"INDEX(Countries[Region],MATCH(EF!B13,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":1312454.2},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1522289.44},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1522289.44},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.1598800476237572},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":4.3997269249877714E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":5.1031554752863431E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.1598800476237572},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.1598800476237572},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"},null,"Europe and Central Asia",{"$f":"SUMIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":4943694.5960000008},{"$f":"AVERAGEIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[Emission factor Rice (tCO2e/t)])","v":1.7315779321157745},{"$f":"SUMIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[contribution to regional weighted average emission factor])","v":1.6527830676699025}]
["Armenia",{"$f":"INDEX(Countries[Region],MATCH(EF!B166,Countries[Country],0))","v":"Europe and Central Asia"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"},null,"East Asia and Pacific",{"$f":"SUMIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":391831514.77999997},{"$f":"AVERAGEIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[Emission factor Rice (tCO2e/t)])","v":1.6690853240447401},{"$f":"SUMIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[contribution to regional weighted average emission factor])","v":0.94702323504617814}]
["Australia",{"$f":"INDEX(Countries[Region],MATCH(EF!B14,Countries[Country],0))","v":"East Asia and Pacific"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":396491.33400000003},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":354681.04},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":354681.04},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.89454928666864619},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":1.0118924053942329E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":9.0518762943083157E-4},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.89454928666864619},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.89454928666864619},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"},null,"Middle East and North Africa",{"$f":"SUMIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":16388970.940000001},{"$f":"AVERAGEIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[Emission factor Rice (tCO2e/t)])","v":1.7913452637916907},{"$f":"SUMIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[contribution to regional weighted average emission factor])","v":0.98352568803810436}]
["Austria",{"$f":"INDEX(Countries[Region],MATCH(EF!B15,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"},null,"North America",{"$f":"SUMIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":9128638},{"$f":"AVERAGEIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[Emission factor Rice (tCO2e/t)])","v":1.1499960015941042},{"$f":"SUMIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[contribution to regional weighted average emission factor])","v":1.1499960015941042}]
["Azerbaijan",{"$f":"INDEX(Countries[Region],MATCH(EF!B167,Countries[Country],0))","v":"Europe and Central Asia"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":11683.980000000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":30105.040000000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":30105.040000000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":2.5766083132631175},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":2.3634105572487513E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":6.08958328946095E-3},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":2.5766083132631175},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":2.5766083132631175},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Bahamas",{"$f":"INDEX(Countries[Region],MATCH(EF!B16,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.83675324325225486},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.83675324325225486},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Bangladesh",{"$f":"INDEX(Countries[Region],MATCH(EF!B17,Countries[Country],0))","v":"South Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":54887935.399999999},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":32153880.640000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":32153880.640000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.58580962110664492},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0.20173231764846458},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.11817673256661237},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.58580962110664492},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.66},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Barbados",{"$f":"INDEX(Countries[Region],MATCH(EF!B18,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.83675324325225486},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.83675324325225486},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"},null,"Sense check compared to CLUNE data"]
["Belgium",{"$f":"INDEX(Countries[Region],MATCH(EF!B19,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Belize",{"$f":"INDEX(Countries[Region],MATCH(EF!B20,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":14991.6},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":2325.6799999999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":2325.6799999999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.15513220736946021},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":5.0256188877788408E-4},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":7.7963535145878307E-5},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.15513220736946021},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.66},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"},null,"FAOSTAT"]
["Benin",{"$f":"INDEX(Countries[Region],MATCH(EF!B21,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":415071.66600000008},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":85911.28},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":85911.28},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.20697938943392002},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":1.3742435358707769E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":2.844400879880448E-3},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.20697938943392002},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.66},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"},null,"Min","Max"]
["Bhutan",{"$f":"INDEX(Countries[Region],MATCH(EF!B22,Countries[Country],0))","v":"South Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":58963.833999999995},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":45742.479999999996},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":45742.479999999996},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.77577180615493901},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":2.1671266742999656E-4},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.6811957742882307E-4},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.77577180615493901},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.77577180615493901},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"},null,{"$f":"MIN(Rice_EF[Emission factor Rice (Regional average for gaps) (tCO2e/t)])","v":0.10274927278933675},{"$f":"MAX(Rice_EF[Emission factor Rice (Regional average for gaps) (tCO2e/t)])","v":33397.1}]
["Bolivia (Plurinational State of)",{"$f":"INDEX(Countries[Region],MATCH(EF!B23,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":531477.59400000004},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":346976},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":346976},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.65285160450244673},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":1.7816669567208666E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.1631641313842091E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.65285160450244673},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.66},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Bosnia and Herzegovina",{"$f":"INDEX(Countries[Region],MATCH(EF!B24,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Botswana",{"$f":"INDEX(Countries[Region],MATCH(EF!B25,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.2016147812632743},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.2016147812632743},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"},null,"CLUNE"]
["Brazil",{"$f":"INDEX(Countries[Region],MATCH(EF!B26,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":11478686.6},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3257728.32},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3257728.32},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.2838067135659928},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0.3847988485808978},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.10920849659972269},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.2838067135659928},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.66},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"},null,"Min","Max"]
["Bulgaria",{"$f":"INDEX(Countries[Region],MATCH(EF!B27,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":62818.6},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":90401.36},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":90401.36},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.4390858758393215},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":1.2706812441615475E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.8286194311668193E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.4390858758393215},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.4390858758393215},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"},null,0.66,5.69]
["Burkina Faso",{"$f":"INDEX(Countries[Region],MATCH(EF!B28,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":390984.05},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1276936.0799999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1276936.0799999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":3.2659544040223634},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":1.2944928487146519E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":4.2277546202350726E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":3.2659544040223634},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":3.2659544040223634},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Burundi",{"$f":"INDEX(Countries[Region],MATCH(EF!B29,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":137760.96000000002},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":101386.87999999999},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":101386.87999999999},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.73596235101729823},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":4.5610703953796895E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":3.3567760913390341E-3},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.73596235101729823},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.73596235101729823},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"},null,"No. of countries below CLUNE's MIN","No. of countries above CLUNE's MAX","No. of countries with gaps","No. of countries used"]
["Cabo Verde",{"$f":"INDEX(Countries[Region],MATCH(EF!B30,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.2016147812632743},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.2016147812632743},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Cambodia",{"$f":"INDEX(Countries[Region],MATCH(EF!B31,Countries[Country],0))","v":"East Asia and Pacific"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":11087740},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":14103391.679999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":14103391.679999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.2719807354790063},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":2.8297213424053926E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":3.599351034313452E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.2719807354790063},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.2719807354790063},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"},null,{"$f":"COUNTIF(Rice_EF[Emission factor Rice (tCO2e/t)], \"<0.66\")","v":24},{"$f":"COUNTIF(Rice_EF[Emission factor Rice (tCO2e/t)], \">5.69\")","v":3},{"$f":"COUNTIF(Rice_EF[Emission factor Rice (tCO2e/t)], \"N/A\")","v":55},{"$f":"117-O30-P30-Q30","v":35}]
["Cameroon",{"$f":"INDEX(Countries[Region],MATCH(EF!B32,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":302611.56800000003},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":525597.52},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":525597.52},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.736871870013905},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":1.0019040692691368E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.7401789943660265E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.736871870013905},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.736871870013905},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Canada",{"$f":"INDEX(Countries[Region],MATCH(EF!B33,Countries[Country],0))","v":"North America"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.1499960015941042},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.1499960015941042},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Central African Republic",{"$f":"INDEX(Countries[Region],MATCH(EF!B34,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":27058.6},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":16680.16},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":16680.16},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.61644578803042294},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":8.9587194659808444E-4},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":5.5225648809500516E-4},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.61644578803042294},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.66},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Chad",{"$f":"INDEX(Countries[Region],MATCH(EF!B35,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":266871.48},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":369439.27999999991},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":369439.27999999991},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.384334062223509},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":8.835736966402984E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.2231611647439068E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.384334062223509},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.384334062223509},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Chile",{"$f":"INDEX(Countries[Region],MATCH(EF!B36,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":162270.65999999997},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":156153.76},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":156153.76},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.96230433770343959},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":5.4397829039484662E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":5.2347266846346219E-3},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.96230433770343959},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.96230433770343959},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["China",{"$f":"INDEX(Countries[Region],MATCH(EF!B37,Countries[Country],0))","v":"East Asia and Pacific"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":213585711.05000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":149473753.52000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":149473753.52000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.69983030599368368},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0.5450957949870906},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.38147455700168587},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.69983030599368368},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.69983030599368368},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Colombia",{"$f":"INDEX(Countries[Region],MATCH(EF!B38,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":2790460},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3244405.92},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3244405.92},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.1626778093934333},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":9.3544308023101888E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.10876189113352468},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.1626778093934333},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.1626778093934333},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Comoros",{"$f":"INDEX(Countries[Region],MATCH(EF!B39,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":5.6},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":187023.75999999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":187023.75999999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":33397.1},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":1.8540807362351611E-7},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":6.1920919756119292E-3},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":33397.1},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":5.69},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Congo",{"$f":"INDEX(Countries[Region],MATCH(EF!B40,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":1111.758},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3721.2000000000007},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3721.2000000000007},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":3.3471313001570491},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":3.6808733770630903E-5},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.2320366492282649E-4},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":3.3471313001570491},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":3.3471313001570491},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Costa Rica",{"$f":"INDEX(Countries[Region],MATCH(EF!B41,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":165041.1},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":27741.279999999999},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":27741.279999999999},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.16808710072824284},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":5.5326560835387579E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":9.2996812040850477E-4},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.16808710072824284},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.66},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Cote d'Ivoire",{"$f":"INDEX(Countries[Region],MATCH(EF!B42,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":1830196.6},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":566516.15999999992},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":566516.15999999992},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.30953841789455838},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":6.0595218921126591E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.8756548196819933E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.30953841789455838},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.66},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Croatia",{"$f":"INDEX(Countries[Region],MATCH(EF!B43,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Cyprus",{"$f":"INDEX(Countries[Region],MATCH(EF!B44,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Czech Republic",{"$f":"INDEX(Countries[Region],MATCH(EF!B45,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Democratic Republic of the Congo",{"$f":"INDEX(Countries[Region],MATCH(EF!B46,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":1387126.8},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":938939.12},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":938939.12},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.67689494572522135},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":4.5925804974920055E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":3.108694526588561E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.67689494572522135},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.67689494572522135},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Denmark",{"$f":"INDEX(Countries[Region],MATCH(EF!B47,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Dominica",{"$f":"INDEX(Countries[Region],MATCH(EF!B48,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.83675324325225486},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.83675324325225486},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Dominican Republic",{"$f":"INDEX(Countries[Region],MATCH(EF!B49,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":1041220},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1413851.04},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1413851.04},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.3578792570254126},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":3.4904712627958884E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":4.7396385249938347E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.3578792570254126},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.3578792570254126},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Ecuador",{"$f":"INDEX(Countries[Region],MATCH(EF!B50,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":1115120},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1842589.2800000003},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1842589.2800000003},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.6523686060693021},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":3.7382054844979459E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":6.1768933856204911E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6523686060693021},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6523686060693021},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Egypt",{"$f":"INDEX(Countries[Region],MATCH(EF!B51,Countries[Country],0))","v":"Middle East and North Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":4386912},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3815202.1599999992},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3815202.1599999992},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.86967829762712345},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0.2676746463252927},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.23279083073412291},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.86967829762712345},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.86967829762712345},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["El Salvador",{"$f":"INDEX(Countries[Region],MATCH(EF!B52,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":24525.243999999999},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":2822.96},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":2822.96},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.11510425747446183},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":8.2215727123045347E-4},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":9.4633802232211068E-5},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.11510425747446183},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.66},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Equatorial Guinea",{"$f":"INDEX(Countries[Region],MATCH(EF!B53,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.2016147812632743},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.2016147812632743},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Eritrea",{"$f":"INDEX(Countries[Region],MATCH(EF!B54,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.2016147812632743},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.2016147812632743},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Estonia",{"$f":"INDEX(Countries[Region],MATCH(EF!B55,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Eswatini",{"$f":"INDEX(Countries[Region],MATCH(EF!B56,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":988.7},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":628.88},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":628.88},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.63606756346717908},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":3.2734457569923285E-5},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":2.0821326667920859E-5},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.63606756346717908},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.66},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Ethiopia",{"$f":"INDEX(Countries[Region],MATCH(EF!B57,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":176630.24599999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":232531.03999999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":232531.03999999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.3164848335205286},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":5.8479774383049573E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":7.6987736042987091E-3},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.3164848335205286},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.3164848335205286},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Fiji",{"$f":"INDEX(Countries[Region],MATCH(EF!B58,Countries[Country],0))","v":"East Asia and Pacific"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":8387.1720000000005},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":9560.3200000000015},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":9560.3200000000015},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.1398740838986015},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":2.1405047025656195E-5},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":2.4399058369176339E-5},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.1398740838986015},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.1398740838986015},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Finland",{"$f":"INDEX(Countries[Region],MATCH(EF!B59,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["France",{"$f":"INDEX(Countries[Region],MATCH(EF!B60,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":76868.800000000003},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":204982.40000000002},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":204982.40000000002},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":2.6666527902087713},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":1.5548856934284618E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":4.1463402728367078E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":2.6666527902087713},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":2.6666527902087713},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Gabon",{"$f":"INDEX(Countries[Region],MATCH(EF!B61,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":1728.4860000000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1183.8399999999999},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1183.8399999999999},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.68489996447758317},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":5.7227724918788733E-5},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":3.9195266764011305E-5},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.68489996447758317},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.68489996447758317},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Gambia",{"$f":"INDEX(Countries[Region],MATCH(EF!B62,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":34072.199999999997},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":438394.87999999995},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":438394.87999999995},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":12.866644361092034},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":1.1280823153777082E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.4514633962002234E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":12.866644361092034},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":5.69},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Georgia",{"$f":"INDEX(Countries[Region],MATCH(EF!B169,Countries[Country],0))","v":"Europe and Central Asia"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Germany",{"$f":"INDEX(Countries[Region],MATCH(EF!B63,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Ghana",{"$f":"INDEX(Countries[Region],MATCH(EF!B64,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":906496.19600000011},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":602389.76000000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":602389.76000000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.66452541407024279},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":3.0012805972750949E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.9944272316452179E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.66452541407024279},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.66452541407024279},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Greece",{"$f":"INDEX(Countries[Region],MATCH(EF!B65,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":246357.6},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":457485.83999999997},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":457485.83999999997},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.8569990939999415},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":4.9832689947985606E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":9.2539260084989264E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.8569990939999415},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.8569990939999415},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Grenada",{"$f":"INDEX(Countries[Region],MATCH(EF!B66,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.83675324325225486},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.83675324325225486},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Guatemala",{"$f":"INDEX(Countries[Region],MATCH(EF!B67,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":26979.4},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":7638.96},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":7638.96},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.28314047013647448},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":9.0442769431508608E-4},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":2.5608008257282109E-4},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.28314047013647448},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.66},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Guinea",{"$f":"INDEX(Countries[Region],MATCH(EF!B68,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":2371584.6},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":5423126.2400000002},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":5423126.2400000002},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":2.286710008152355},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":7.9502390403462117E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.18179891180763258},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":2.286710008152355},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":2.286710008152355},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Guinea-Bissau",{"$f":"INDEX(Countries[Region],MATCH(EF!B69,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":188012},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":229979.12000000002},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":229979.12000000002},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.2232151139288983},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":6.3027072382472538E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":7.7095667524931062E-3},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.2232151139288983},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.2232151139288983},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Guyana",{"$f":"INDEX(Countries[Region],MATCH(EF!B70,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":980180},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1270445.1200000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1270445.1200000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.2961345059070783},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":3.2858474888758128E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":4.2589003114800655E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.2961345059070783},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.2961345059070783},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Haiti",{"$f":"INDEX(Countries[Region],MATCH(EF!B71,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":168807.2},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":175301.84},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":175301.84},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.0384737143913292},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":5.6589066724903299E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":5.8766258315749095E-3},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.0384737143913292},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.0384737143913292},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Honduras",{"$f":"INDEX(Countries[Region],MATCH(EF!B72,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":59051.857999999993},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":12029.36},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":12029.36},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.20370840829428266},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":1.9795894562503933E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":4.0325901720891213E-4},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.20370840829428266},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.66},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Hungary",{"$f":"INDEX(Countries[Region],MATCH(EF!B73,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":11602.6},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":22038.239999999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":22038.239999999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.8994225432230705},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":2.3469491843990109E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":4.4578481886464799E-3},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.8994225432230705},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.8994225432230705},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Iceland",{"$f":"INDEX(Countries[Region],MATCH(EF!B74,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["India",{"$f":"INDEX(Countries[Region],MATCH(EF!B75,Countries[Country],0))","v":"South Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":180571725},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":131848037.44000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":131848037.44000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.73016989476065541},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0.66366410615676374},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.48458755054890862},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.73016989476065541},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.73016989476065541},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Indonesia",{"$f":"INDEX(Countries[Region],MATCH(EF!B76,Countries[Country],0))","v":"East Asia and Pacific"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":55624212.692000009},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":63965305.039999992},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":63965305.039999992},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.1499543444180671},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0.14195951727678441},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.16324696362392987},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.1499543444180671},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.1499543444180671},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Ireland",{"$f":"INDEX(Countries[Region],MATCH(EF!B77,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Italy",{"$f":"INDEX(Countries[Region],MATCH(EF!B78,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":1505507.4},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3177212.64},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3177212.64},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":2.1103932401793575},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0.30453082624038363},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.64267979712394008},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":2.1103932401793575},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":2.1103932401793575},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Jamaica",{"$f":"INDEX(Countries[Region],MATCH(EF!B79,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0.4},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1.1199999999999999},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1.1199999999999999},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":2.7999999999999994},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":1.3409159496728409E-8},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":3.7545646590839538E-8},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":2.7999999999999994},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":2.7999999999999994},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Japan",{"$f":"INDEX(Countries[Region],MATCH(EF!B80,Countries[Country],0))","v":"East Asia and Pacific"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":10583500},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":8572299.1199999992},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":8572299.1199999992},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.80996826380686915},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":2.7010333780687023E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":2.1877513157187094E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.80996826380686915},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.80996826380686915},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Kazakhstan",{"$f":"INDEX(Countries[Region],MATCH(EF!B81,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":518728.75800000003},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":623885.91999999993},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":623885.91999999993},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.2027209025492276},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0.10492734693193008},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.12619831340406687},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.2027209025492276},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.2027209025492276},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Kenya",{"$f":"INDEX(Countries[Region],MATCH(EF!B82,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":144255.6},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":52987.76},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":52987.76},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.36731856510249861},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":4.7760987331079453E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.754349733433072E-3},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.36731856510249861},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.66},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Kiribati",{"$f":"INDEX(Countries[Region],MATCH(EF!B83,Countries[Country],0))","v":"East Asia and Pacific"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.94702323504617814},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.94702323504617814},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Kyrgyzstan",{"$f":"INDEX(Countries[Region],MATCH(EF!B84,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":42198.66},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":71003.520000000004},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":71003.520000000004},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.6826012958705323},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":8.535854952315099E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.4362440604128286E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6826012958705323},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6826012958705323},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Lao People's Democratic Republic",{"$f":"INDEX(Countries[Region],MATCH(EF!B85,Countries[Country],0))","v":"East Asia and Pacific"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":3634593.8},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":2486865.36},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":2486865.36},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.68422098777585549},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":9.2759098308891775E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":6.3467721870107616E-3},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.68422098777585549},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.68422098777585549},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Latvia",{"$f":"INDEX(Countries[Region],MATCH(EF!B86,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Lebanon",{"$f":"INDEX(Countries[Region],MATCH(EF!B87,Countries[Country],0))","v":"Middle East and North Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.98352568803810436},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.98352568803810436},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Lesotho",{"$f":"INDEX(Countries[Region],MATCH(EF!B88,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.2016147812632743},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.2016147812632743},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Liberia",{"$f":"INDEX(Countries[Region],MATCH(EF!B89,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":263298},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":78808.239999999991},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":78808.239999999991},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.29931195831339391},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":8.7174241015936689E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":2.6092292792963797E-3},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.29931195831339391},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.66},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Lithuania",{"$f":"INDEX(Countries[Region],MATCH(EF!B90,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Luxembourg",{"$f":"INDEX(Countries[Region],MATCH(EF!B91,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Madagascar",{"$f":"INDEX(Countries[Region],MATCH(EF!B92,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":4032088.4},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":7534226},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":7534226},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.8685666713061153},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0.1334967398078081},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.24944755873289456},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.8685666713061153},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.8685666713061153},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Malawi",{"$f":"INDEX(Countries[Region],MATCH(EF!B93,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":133313.1},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":136866.80000000002},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":136866.80000000002},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.0266567951686669},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":4.4138080463891373E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":4.5314660233955464E-3},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.0266567951686669},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.0266567951686669},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Malaysia",{"$f":"INDEX(Countries[Region],MATCH(EF!B94,Countries[Country],0))","v":"East Asia and Pacific"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":2472114.7800000003},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3354671.0399999996},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3354671.0399999996},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.3570045643269035},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":6.3091269761392432E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":8.5615141035389475E-3},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.3570045643269035},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.3570045643269035},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Maldives",{"$f":"INDEX(Countries[Region],MATCH(EF!B95,Countries[Country],0))","v":"South Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.74067079064400354},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.74067079064400354},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Mali",{"$f":"INDEX(Countries[Region],MATCH(EF!B96,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":2900338.5240000002},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1738178.4},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1738178.4},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.59930190411110773},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":9.6026103319805739E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":5.7548626563929541E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.59930190411110773},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.66},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Malta",{"$f":"INDEX(Countries[Region],MATCH(EF!B97,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Marshall Islands",{"$f":"INDEX(Countries[Region],MATCH(EF!B98,Countries[Country],0))","v":"East Asia and Pacific"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.94702323504617814},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.94702323504617814},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Mauritania",{"$f":"INDEX(Countries[Region],MATCH(EF!B99,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":319840},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":531551.99999999988},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":531551.99999999988},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.661930965482741},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":1.058944969066882E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.7598934348344145E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.661930965482741},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.661930965482741},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Mauritius",{"$f":"INDEX(Countries[Region],MATCH(EF!B100,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":40},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":74.48},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":74.48},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.8620000000000001},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":1.3243433830251151E-6},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":2.4659273791927642E-6},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.8620000000000001},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.8620000000000001},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Mexico",{"$f":"INDEX(Countries[Region],MATCH(EF!B101,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":269385.47199999995},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":136973.76000000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":136973.76000000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.50846750933918228},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":9.0305819003736604E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":4.5917574867664944E-3},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.50846750933918228},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.66},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Micronesia (Federated States of)",{"$f":"INDEX(Countries[Region],MATCH(EF!B102,Countries[Country],0))","v":"East Asia and Pacific"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":178.63800000000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":633.92000000000007},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":633.92000000000007},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":3.548629071082301},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":4.5590513591102834E-7},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.6178382189496026E-6},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":3.548629071082301},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":3.548629071082301},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Moldova",{"$f":"INDEX(Countries[Region],MATCH(EF!B170,Countries[Country],0))","v":"Europe and Central Asia"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Mongolia",{"$f":"INDEX(Countries[Region],MATCH(EF!B103,Countries[Country],0))","v":"East Asia and Pacific"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.94702323504617814},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.94702323504617814},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Morocco",{"$f":"INDEX(Countries[Region],MATCH(EF!B104,Countries[Country],0))","v":"Middle East and North Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":60386.680000000008},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":58674},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":58674},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.97163811622033192},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":3.6845925361070901E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":3.5800905508225882E-3},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.97163811622033192},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.97163811622033192},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Mozambique",{"$f":"INDEX(Countries[Region],MATCH(EF!B105,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":384400},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":593456.08000000007},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":593456.08000000007},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.5438503642039545},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":1.2726939910871357E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.964849081660059E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.5438503642039545},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.5438503642039545},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Myanmar",{"$f":"INDEX(Countries[Region],MATCH(EF!B106,Countries[Country],0))","v":"South Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":26916240},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":30132589.760000002},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":30132589.760000002},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.1194947644990534},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":9.8926575357802735E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.11074778318288123},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.1194947644990534},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.1194947644990534},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Namibia",{"$f":"INDEX(Countries[Region],MATCH(EF!B107,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.2016147812632743},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.2016147812632743},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Nepal",{"$f":"INDEX(Countries[Region],MATCH(EF!B108,Countries[Country],0))","v":"South Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":5413029.7999999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":4366659.3599999994},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":4366659.3599999994},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.80669412904395976},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":1.9894773579955144E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.6048997045608696E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.80669412904395976},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.80669412904395976},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Netherlands",{"$f":"INDEX(Countries[Region],MATCH(EF!B109,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["New Zealand",{"$f":"INDEX(Countries[Region],MATCH(EF!B110,Countries[Country],0))","v":"East Asia and Pacific"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.94702323504617814},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.94702323504617814},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Nicaragua",{"$f":"INDEX(Countries[Region],MATCH(EF!B111,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":459606.04599999997},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":56926.8},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":56926.8},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.12385998943103547},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":1.5407326941186733E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.9083513520958969E-3},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.12385998943103547},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.66},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Niger",{"$f":"INDEX(Countries[Region],MATCH(EF!B112,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":116999.78599999999},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":71834.559999999983},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":71834.559999999983},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.61397172128160971},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":3.8736973101113625E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":2.3783406052130147E-3},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.61397172128160971},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.66},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Nigeria",{"$f":"INDEX(Countries[Region],MATCH(EF!B113,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":9339479.1999999993},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":12969483.52},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":12969483.52},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.3886730986027573},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0.30921693698551739},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.42940124202413199},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.3886730986027573},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.3886730986027573},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Norway",{"$f":"INDEX(Countries[Region],MATCH(EF!B114,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Pakistan",{"$f":"INDEX(Countries[Region],MATCH(EF!B115,Countries[Country],0))","v":"Middle East and North Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":11941364.300000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":12243773.92},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":12243773.92},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.0253245452029296},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0.72862197045301491},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.74707399047959988},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.0253245452029296},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.0253245452029296},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Panama",{"$f":"INDEX(Countries[Region],MATCH(EF!B116,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":367362.6},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":37746.239999999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":37746.239999999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.10274927278933675},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":1.2315059241332098E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.2653633814044742E-3},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.10274927278933675},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.66},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Papua New Guinea",{"$f":"INDEX(Countries[Region],MATCH(EF!B117,Countries[Country],0))","v":"East Asia and Pacific"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":871.2},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":2716.5600000000004},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":2716.5600000000004},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":3.1181818181818186},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":2.2234046194297291E-6},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":6.9329798587672475E-6},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":3.1181818181818186},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":3.1181818181818186},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Paraguay",{"$f":"INDEX(Countries[Region],MATCH(EF!B118,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":1051233.6000000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":628768},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":628768},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.59812395646410077},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":3.5240397526799985E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":2.1078125996097319E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.59812395646410077},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.66},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Peru",{"$f":"INDEX(Countries[Region],MATCH(EF!B119,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":3367411.21},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":2783489.52},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":2783489.52},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.82659626235549655},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0.112885385014903},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":9.3310637327880003E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.82659626235549655},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.82659626235549655},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Philippines",{"$f":"INDEX(Countries[Region],MATCH(EF!B120,Countries[Country],0))","v":"East Asia and Pacific"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":19282458.714000002},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":44567735.520000003},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":44567735.520000003},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":2.3113097858024538},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":4.921109708295527E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.1137420902579091},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":2.3113097858024538},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":2.3113097858024538},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Poland",{"$f":"INDEX(Countries[Region],MATCH(EF!B121,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Portugal",{"$f":"INDEX(Countries[Region],MATCH(EF!B122,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":162151.4},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":401977.52},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":401977.52},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":2.4790258980187652},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":3.27996393893746E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":8.131115549193603E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":2.4790258980187652},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":2.4790258980187652},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Romania",{"$f":"INDEX(Countries[Region],MATCH(EF!B123,Countries[Country],0))","v":"Europe and Central Asia"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":33070.199999999997},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":56832.160000000003},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":56832.160000000003},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.7185308827887344},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":6.6893695307872515E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.1495888125043877E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.7185308827887344},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.7185308827887344},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Rwanda",{"$f":"INDEX(Countries[Region],MATCH(EF!B124,Countries[Country],0))","v":"Africa"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":120535.594},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":62139.28},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":62139.28},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.5155263929756716},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":3.990762908322544E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":2.057343607348622E-3},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.5155263929756716},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.66},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Saint Kitts and Nevis",{"$f":"INDEX(Countries[Region],MATCH(EF!B125,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.83675324325225486},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.83675324325225486},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Saint Lucia",{"$f":"INDEX(Countries[Region],MATCH(EF!B126,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.83675324325225486},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.83675324325225486},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Samoa",{"$f":"INDEX(Countries[Region],MATCH(EF!B127,Countries[Country],0))","v":"East Asia and Pacific"},"Rice",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.94702323504617814},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.94702323504617814},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Sao Tome and Principe",{"$f":"INDEX(Countries[Region],MATCH(EF!B128,Countries[Country],0))","v":"Africa"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.2016147812632743},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.2016147812632743},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Senegal",{"$f":"INDEX(Countries[Region],MATCH(EF!B129,Countries[Country],0))","v":"Africa"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":1221085.8979999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":685859.44},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":685859.44},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.56167992859745564},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":4.0428425728039508E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":2.2707835276232768E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.56167992859745564},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.66},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Seychelles",{"$f":"INDEX(Countries[Region],MATCH(EF!B130,Countries[Country],0))","v":"Africa"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.2016147812632743},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.2016147812632743},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Sierra Leone",{"$f":"INDEX(Countries[Region],MATCH(EF!B131,Countries[Country],0))","v":"Africa"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":1158392.834},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1504582.24},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1504582.24},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.2988532006060389},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":3.8352747116290269E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":4.9814588344027647E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.2988532006060389},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.2988532006060389},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Slovakia",{"$f":"INDEX(Countries[Region],MATCH(EF!B132,Countries[Country],0))","v":"Europe and Central Asia"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Slovenia",{"$f":"INDEX(Countries[Region],MATCH(EF!B133,Countries[Country],0))","v":"Europe and Central Asia"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Solomon Islands",{"$f":"INDEX(Countries[Region],MATCH(EF!B134,Countries[Country],0))","v":"East Asia and Pacific"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":2749.2779999999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":9541.2800000000007},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":9541.2800000000007},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":3.4704675191086536},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":7.0164800336277839E-6},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":2.4350466055179616E-5},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":3.4704675191086536},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":3.4704675191086536},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Somalia",{"$f":"INDEX(Countries[Region],MATCH(EF!B135,Countries[Country],0))","v":"Africa"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":1600.58},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3570.5600000000004},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3570.5600000000004},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":2.2307913381399245},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":5.299293830005847E-5},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.1821618774235388E-4},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":2.2307913381399245},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":2.2307913381399245},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["South Africa",{"$f":"INDEX(Countries[Region],MATCH(EF!B136,Countries[Country],0))","v":"Africa"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":3080.13},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":8616.159999999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":8616.159999999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":2.7973364760578279},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":1.0197874460892871E-4},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":2.8526886207714186E-4},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":2.7973364760578279},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":2.7973364760578279},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["South Sudan",{"$f":"INDEX(Countries[Region],MATCH(EF!B137,Countries[Country],0))","v":"Africa"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":20530.8},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":92514.8},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":92514.8},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":4.5061468622752159},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":6.7974572820530079E-4},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":3.063034080297298E-3},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":4.5061468622752159},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":4.5061468622752159},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Spain",{"$f":"INDEX(Countries[Region],MATCH(EF!B138,Countries[Country],0))","v":"Europe and Central Asia"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":753849.6},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1418887.6800000002},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1418887.6800000002},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.882189338563024},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0.15248708943508529},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.28700957400322386},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.882189338563024},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.882189338563024},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Sri Lanka",{"$f":"INDEX(Countries[Region],MATCH(EF!B139,Countries[Country],0))","v":"South Asia"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":4235112},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":2977025.52},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":2977025.52},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.70293902971161093},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":1.5565514589583636E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.0941607722563845E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.70293902971161093},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.70293902971161093},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Sudan",{"$f":"INDEX(Countries[Region],MATCH(EF!B140,Countries[Country],0))","v":"Africa"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":46440},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":43038.240000000005},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":43038.240000000005},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.92674935400516811},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":1.5375626676921586E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.4249352090261709E-3},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.92674935400516811},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.92674935400516811},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Sweden",{"$f":"INDEX(Countries[Region],MATCH(EF!B141,Countries[Country],0))","v":"Europe and Central Asia"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Switzerland",{"$f":"INDEX(Countries[Region],MATCH(EF!B142,Countries[Country],0))","v":"Europe and Central Asia"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Tajikistan",{"$f":"INDEX(Countries[Region],MATCH(EF!B143,Countries[Country],0))","v":"Europe and Central Asia"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":100111.652},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":76731.760000000009},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":76731.760000000009},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.76646183003752655},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":2.0250371469346322E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.5521136775334897E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.76646183003752655},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.76646183003752655},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Thailand",{"$f":"INDEX(Countries[Region],MATCH(EF!B144,Countries[Country],0))","v":"East Asia and Pacific"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":31715401.600000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":47313078.960000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":47313078.960000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.4918013511769626},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":8.0941426107104017E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.12074852883276804},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.4918013511769626},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.4918013511769626},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Timor-Leste",{"$f":"INDEX(Countries[Region],MATCH(EF!B145,Countries[Country],0))","v":"East Asia and Pacific"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":52474.928},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":117629.12000000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":117629.12000000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":2.2416251814580863},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":1.3392217323168323E-4},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":3.002033158717332E-4},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":2.2416251814580863},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":2.2416251814580863},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Togo",{"$f":"INDEX(Countries[Region],MATCH(EF!B146,Countries[Country],0))","v":"Africa"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":151690.79999999999},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":27927.759999999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":27927.759999999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.18410978121283558},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":5.0222676811446532E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":9.2464860396783725E-4},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.18410978121283558},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.66},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Tonga",{"$f":"INDEX(Countries[Region],MATCH(EF!B147,Countries[Country],0))","v":"East Asia and Pacific"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.94702323504617814},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.94702323504617814},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Trinidad and Tobago",{"$f":"INDEX(Countries[Region],MATCH(EF!B148,Countries[Country],0))","v":"Latin America and Caribbean"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":773.22},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":2638.16},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":2638.16},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":3.4119138149556396},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":2.592057576515085E-5},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":8.8438770544722534E-5},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":3.4119138149556396},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":3.4119138149556396},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Tunisia",{"$f":"INDEX(Countries[Region],MATCH(EF!B165,Countries[Country],0))","v":"Middle East and North Africa"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.98352568803810436},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.98352568803810436},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Turkey",{"$f":"INDEX(Countries[Region],MATCH(EF!B149,Countries[Country],0))","v":"Europe and Central Asia"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":964000},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":957944.96000000008},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":957944.96000000008},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.99371883817427398},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0.19499586418222178},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.19377106360394597},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.99371883817427398},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.99371883817427398},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Turkmenistan",{"$f":"INDEX(Countries[Region],MATCH(EF!B168,Countries[Country],0))","v":"Europe and Central Asia"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":83399.945999999996},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":153758.63999999996},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":153758.63999999996},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.843629970695664},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":1.6869963218901069E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":3.1101969794899507E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.843629970695664},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.843629970695664},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Tuvalu",{"$f":"INDEX(Countries[Region],MATCH(EF!B150,Countries[Country],0))","v":"East Asia and Pacific"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.94702323504617814},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.94702323504617814},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Uganda",{"$f":"INDEX(Countries[Region],MATCH(EF!B151,Countries[Country],0))","v":"Africa"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":330812},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":168975.52000000002},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":168975.52000000002},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.51079017689805695},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":1.0952717080632609E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":5.5945402951307005E-3},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.51079017689805695},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.66},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Ukraine",{"$f":"INDEX(Countries[Region],MATCH(EF!B152,Countries[Country],0))","v":"Europe and Central Asia"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":59576},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":89532.799999999988},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":89532.799999999988},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.5028333557137101},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":1.2050906228755234E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.8110503847151477E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.5028333557137101},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.5028333557137101},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["United Kingdom",{"$f":"INDEX(Countries[Region],MATCH(EF!B153,Countries[Country],0))","v":"Europe and Central Asia"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6527830676699025},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["United Republic of Tanzania",{"$f":"INDEX(Countries[Region],MATCH(EF!B154,Countries[Country],0))","v":"Africa"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":3582837.6},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":4505061.68},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":4505061.68},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.2574004693933098},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0.11862268170033961},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.14915621565070022},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.2574004693933098},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.2574004693933098},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["United States of America",{"$f":"INDEX(Countries[Region],MATCH(EF!B155,Countries[Country],0))","v":"North America"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":9128638},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":10497897.200000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":10497897.200000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.1499960015941042},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":1},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.1499960015941042},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.1499960015941042},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.1499960015941042},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Uruguay",{"$f":"INDEX(Countries[Region],MATCH(EF!B156,Countries[Country],0))","v":"Latin America and Caribbean"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":1274916.3999999999},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1178284.7999999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1178284.7999999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.92420554006521516},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":4.2738893381486981E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":3.9499522039426825E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.92420554006521516},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.92420554006521516},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Uzbekistan",{"$f":"INDEX(Countries[Region],MATCH(EF!B157,Countries[Country],0))","v":"Europe and Central Asia"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":311769.40000000002},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":338074.24000000005},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":338074.24000000005},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.084372744727353},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":6.3064049355365956E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":6.8384936293099441E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.084372744727353},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.084372744727353},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Vanuatu",{"$f":"INDEX(Countries[Region],MATCH(EF!B158,Countries[Country],0))","v":"East Asia and Pacific"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.94702323504617814},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.94702323504617814},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Venezuela (Bolivarian Republic of)",{"$f":"INDEX(Countries[Region],MATCH(EF!B159,Countries[Country],0))","v":"Latin America and Caribbean"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":608804.88800000004},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1200414.3199999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1200414.3199999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.97175539103096},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":2.0408904613949688E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":4.0241367697591929E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.97175539103096},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.97175539103096},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Viet Nam",{"$f":"INDEX(Countries[Region],MATCH(EF!B160,Countries[Country],0))","v":"East Asia and Pacific"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":43384629.593999997},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":36741686.239999995},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":36741686.239999995},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":0.84688256149319052},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0.11072266511885596},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":9.3769094251209481E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.84688256149319052},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.84688256149319052},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Yemen",{"$f":"INDEX(Countries[Region],MATCH(EF!B161,Countries[Country],0))","v":"Middle East and North Africa"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.98352568803810436},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.98352568803810436},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Zambia",{"$f":"INDEX(Countries[Region],MATCH(EF!B162,Countries[Country],0))","v":"Africa"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":42315.164000000004},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":60146.799999999996},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":60146.799999999996},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":1.4214006118468545},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":1.4009951861255641E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.9913754147533745E-3},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.4214006118468545},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.4214006118468545},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Zimbabwe",{"$f":"INDEX(Countries[Region],MATCH(EF!B163,Countries[Country],0))","v":"Africa"},null,{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":1496.444},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":5553.5199999999995},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":5553.5199999999995},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2021 (t)]],\"N/A\")","v":3.7111445533544853},{"$f":"Rice_EF[[#This Row],[Production 2017-2021 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2021 (t)])","v":4.9545142736690883E-5},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.8386918661244091E-4},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":3.7111445533544853},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":3.7111445533544853},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2021 (t)]]=0,\"Regional average for Emission Factor\",\nIF(OR(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,{"$f":"SUBTOTAL(109,Rice_EF[Production 2017-2021 (t)])","v":754409827.20599997}]

{"sheet":"EF","index":58,"n_rows":10212,"n_cols":173,"rows_kept":281,"cut":true,"hidden":true,"merged":[[8,127,8,172],[24,9,26,12],[8,35,8,66],[8,81,8,112],[10,9,13,12],[16,9,18,12]],"bounds":{"rows_first":125,"rows_last":31,"rows_between":125,"halvings":4}}
[null,"This worksheet calculates the specific Emission Factors for each combination of Country and Crop."]
[]
[null,"FAOSTAT data"]
[null,"Clune/Poore data"]
[null,"Calculation based on both of the above",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Country/Crops EFs capped to CLUNE/POORE's MAX"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":" COUNTIF(Modelled_Crop_Emmissions[crop capped to CLUNE/POORE''s MAX], \"YES\") / COUNTA(Modelled_Crop_Emmissions[crop capped to CLUNE/POORE''s MAX])","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The production EF for processed dairy products is that of milk.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The production EF for processed dairy products is that of milk.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The production EF for processed dairy products is that of milk."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Weighted average",{"$f":"'Clune_Poore'!L4","v":0.44773508771411857},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"MEAT_MILK_EGGS_AQUA!Z6","v":"Aggregated"},{"$f":"MEAT_MILK_EGGS_AQUA!AA6","v":"Grassland"},{"$f":"MEAT_MILK_EGGS_AQUA!AB6","v":"Mixed"},{"$f":"MEAT_MILK_EGGS_AQUA!AC6","v":"Grass+lot"},{"$f":"MEAT_MILK_EGGS_AQUA!AD6","v":"Mixed+lot"},{"$f":"MEAT_MILK_EGGS_AQUA!Z40","v":"Aggregated"},{"$f":"MEAT_MILK_EGGS_AQUA!AA40","v":"Backyard"},{"$f":"MEAT_MILK_EGGS_AQUA!AB40","v":"Intermediate"},{"$f":"MEAT_MILK_EGGS_AQUA!AC40","v":"Industrial"},{"$f":"MEAT_MILK_EGGS_AQUA!Z57","v":"Aggregated"},{"$f":"MEAT_MILK_EGGS_AQUA!AA57","v":"Backyard"},{"$f":"MEAT_MILK_EGGS_AQUA!AB57","v":"Layers"},{"$f":"MEAT_MILK_EGGS_AQUA!AC57","v":"Broilers"},{"$f":"MEAT_MILK_EGGS_AQUA!Z23","v":"Aggregated"},{"$f":"MEAT_MILK_EGGS_AQUA!AA23","v":"Grassland"},{"$f":"MEAT_MILK_EGGS_AQUA!AB23","v":"Mixed"},{"$f":"MEAT_MILK_EGGS_AQUA!Z74","v":"Aggregated"},{"$f":"MEAT_MILK_EGGS_AQUA!AA74","v":"Backyard"},{"$f":"MEAT_MILK_EGGS_AQUA!AB74","v":"Layers"},{"$f":"AJ8","v":"Aggregated"},"Grassland","Mixed","Grass+lot","Mixed+lot","Aggregated","Backyard","Intermediate","Industrial","Aggregated","Backyard","Layers","Broilers",null,null,null,null,null,{"$f":"MEAT_MILK_EGGS_AQUA!Z23","v":"Aggregated"},{"$f":"MEAT_MILK_EGGS_AQUA!AA23","v":"Grassland"},{"$f":"MEAT_MILK_EGGS_AQUA!AB23","v":"Mixed"},{"$f":"MEAT_MILK_EGGS_AQUA!Z23","v":"Aggregated"},{"$f":"MEAT_MILK_EGGS_AQUA!AA23","v":"Grassland"},{"$f":"MEAT_MILK_EGGS_AQUA!AB23","v":"Mixed"},{"$f":"MEAT_MILK_EGGS_AQUA!Z23","v":"Aggregated"},{"$f":"MEAT_MILK_EGGS_AQUA!AA23","v":"Grassland"},{"$f":"MEAT_MILK_EGGS_AQUA!AB23","v":"Mixed"},{"$f":"AJ8","v":"Aggregated"},"Grassland","Mixed","Grass+lot","Mixed+lot","Aggregated","Backyard","Intermediate","Industrial","Aggregated","Backyard","Layers","Broilers","Aggregated","Grassland","Mixed","Aggregated","Backyard","Layers","Aggregated","Grassland","Mixed","Grass+lot","Mixed+lot","Aggregated","Backyard","Intermediate","Industrial","Aggregated","Backyard","Layers","Broilers",null,null,null,null,null,{"$f":"BU8","v":"Aggregated"},"Grassland","Mixed","Aggregated","Grassland","Mixed","Aggregated","Grassland","Mixed",{"$f":"CD8","v":"Aggregated"},"Grassland","Mixed","Grass+lot","Mixed+lot","Aggregated","Backyard","Intermediate","Industrial","Aggregated","Backyard","Layers","Broilers","Aggregated","Grassland","Mixed","Aggregated","Backyard","Layers","Aggregated","Grassland","Mixed","Grass+lot","Mixed+lot","Aggregated","Backyard","Intermediate","Industrial","Aggregated","Backyard","Layers","Broilers",null,null,null,null,null,{"$f":"DO8","v":"Aggregated"},{"$f":"DP8","v":"Grassland"},{"$f":"DQ8","v":"Mixed"},{"$f":"DR8","v":"Aggregated"},{"$f":"DS8","v":"Grassland"},{"$f":"DT8","v":"Mixed"},{"$f":"DU8","v":"Aggregated"},{"$f":"DV8","v":"Grassland"},{"$f":"DW8","v":"Mixed"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"tCO2e/t",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"t CO2e/t CH4",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"t CO2e/t N2O"]
[null,"Country","Region","Total Crop Production 2017-2021 (t)","Total GhG Emissions 2017-2021 (tCO2e)","Average emission factor per country (tCO2e/t)","“Average emission factor” per country (capped) (tCO2e/t)","Type of EF calculation",null,null,null,null,null,null,null,null,"Crop","GhG \n(tCO2e/t)","% difference",null,"Country","Region","Crop","CONCAT","Modelled emissions per crop (tCO2e/t)","crop capped to CLUNE/POORE's MAX","Modelled emissions per crop with specific crops capped to CLUNE/POORE's MAX (tCO2e/t)","% of CO2e from CH4","% of CO2e from N2O","Crop EF from CH4 (tCO2e/t)","Crop EF from N2O (tCO2e/t)","Type of EF calculation",null,"Country","Region","Meat (cattle)Aggregated","Meat (cattle)Grassland","Meat (cattle)Mixed","Meat (cattle)Grass+lot","Meat (cattle)Mixed+lot","Meat (pig)Aggregated","Meat (pig)Backyard","Meat (pig)Intermediate","Meat (pig)Industrial","Meat (chicken)Aggregated","Meat (chicken)Backyard","Meat (chicken)Layers","Meat (chicken)Broilers","Milk (cattle)Aggregated","Milk (cattle)Grassland","Milk (cattle)Mixed","Eggs (hens)Aggregated","Eggs (hens)Backyard","Eggs (hens)Layers","Live animal (cattle)Aggregated","Live animal (cattle)Grassland","Live animal (cattle)Mixed","Live animal (cattle)Grass+lot","Live animal (cattle)Mixed+lot","Live animal (pig)Aggregated","Live animal (pig)Backyard","Live animal (pig)Intermediate","Live animal (pig)Industrial","Live animal (chicken)Aggregated","Live animal (chicken)Backyard","Live animal (chicken)Layers","Live animal (chicken)Broilers","Tuna","Salmon","Shrimp","Tilapia","Catfish","YoghurtAggregated","YoghurtGrassland","YoghurtMixed","CheeseAggregated","CheeseGrassland","CheeseMixed","ButterAggregated","ButterGrassland","ButterMixed","Meat (cattle)Aggregated CH4","Meat (cattle)Grassland CH4","Meat (cattle)Mixed CH4","Meat (cattle)Grass+lot CH4","Meat (cattle)Mixed+lot CH4","Meat (pig)Aggregated CH4","Meat (pig)Backyard CH4","Meat (pig)Intermediate CH4","Meat (pig)Industrial CH4","Meat (chicken)Aggregated CH4","Meat (chicken)Backyard CH4","Meat (chicken)Layers CH4","Meat (chicken)Broilers CH4","Milk (cattle)Aggregated CH4","Milk (cattle)Grassland CH4","Milk (cattle)Mixed CH4","Eggs (hens)Aggregated CH4","Eggs (hens)Backyard CH4","Eggs (hens)Layers CH4","Live animal (cattle)Aggregated CH4","Live animal (cattle)Grassland CH4","Live animal (cattle)Mixed CH4","Live animal (cattle)Grass+lot CH4","Live animal (cattle)Mixed+lot CH4","Live animal (pig)Aggregated CH4","Live animal (pig)Backyard CH4","Live animal (pig)Intermediate CH4","Live animal (pig)Industrial CH4","Live animal (chicken)Aggregated CH4","Live animal (chicken)Backyard CH4","Live animal (chicken)Layers CH4","Live animal (chicken)Broilers CH4","Tuna CH4","Salmon CH4","Shrimp CH4","Tilapia CH4","Catfish CH4","YoghurtAggregated CH4","YoghurtGrassland CH4","YoghurtMixed CH4","CheeseAggregated CH4","CheeseGrassland CH4","CheeseMixed CH4","ButterAggregated CH4","ButterGrassland CH4","ButterMixed CH4","Meat (cattle)Aggregated N2O","Meat (cattle)Grassland N2O","Meat (cattle)Mixed N2O","Meat (cattle)Grass+lot N2O","Meat (cattle)Mixed+lot N2O","Meat (pig)Aggregated N2O","Meat (pig)Backyard N2O","Meat (pig)Intermediate N2O","Meat (pig)Industrial N2O","Meat (chicken)Aggregated N2O","Meat (chicken)Backyard N2O","Meat (chicken)Layers N2O","Meat (chicken)Broilers N2O","Milk (cattle)Aggregated N2O","Milk (cattle)Grassland N2O","Milk (cattle)Mixed N2O","Eggs (hens)Aggregated N2O","Eggs (hens)Backyard N2O","Eggs (hens)Layers N2O","Live animal (cattle)Aggregated N2O","Live animal (cattle)Grassland N2O","Live animal (cattle)Mixed N2O","Live animal (cattle)Grass+lot N2O","Live animal (cattle)Mixed+lot N2O","Live animal (pig)Aggregated N2O","Live animal (pig)Backyard N2O","Live animal (pig)Intermediate N2O","Live animal (pig)Industrial N2O","Live animal (chicken)Aggregated N2O","Live animal (chicken)Backyard N2O","Live animal (chicken)Layers N2O","Live animal (chicken)Broilers N2O","Tuna N2O","Salmon N2O","Shrimp N2O","Tilapia N2O","Catfish N2O","YoghurtAggregated N2O","YoghurtGrassland N2O","YoghurtMixed N2O","CheeseAggregated N2O","CheeseGrassland N2O","CheeseMixed N2O","ButterAggregated N2O","ButterGrassland N2O","ButterMixed N2O"]
[null,"Angola",{"$f":"INDEX(Countries[Region],MATCH(Country_Emission_Factor[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:],Country_Emission_Factor[[#This Row],[Country]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":23239672.792000011},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[Emissions (CO2eq) (AR5)],MATCH(Country_Emission_Factor[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))*1000","v":{"$error":"#N/A"}},{"$f":"Country_Emission_Factor[[#This Row],[Total GhG Emissions 2017-2021 (tCO2e)]]/Country_Emission_Factor[[#This Row],[Total Crop Production 2017-2021 (t)]]","v":{"$error":"#N/A"}},{"$f":"IF(OR(Country_Emission_Factor[[#This Row],[Average emission factor per country (tCO2e/t)]]>$K$21,Country_Emission_Factor[[#This Row],[Average emission factor per country (tCO2e/t)]]<$K$29),\n_xlfn.IFS(Country_Emission_Factor[[#This Row],[Region]]=\"Africa\",$O$88,\nCountry_Emission_Factor[[#This Row],[Region]]=\"East Asia and Pacific\",$O$60,\nCountry_Emission_Factor[[#This Row],[Region]]=\"Latin America and Caribbean\",$O$139,\nCountry_Emission_Factor[[#This Row],[Region]]=\"Europe and Central Asia\",$O$175,\nCountry_Emission_Factor[[#This Row],[Region]]=\"Middle East and North Africa\",$O$223,\nCountry_Emission_Factor[[#This Row],[Region]]=\"North America\",$O$235,\nCountry_Emission_Factor[[#This Row],[Region]]=\"South Asia\",$O$242),\nCountry_Emission_Factor[[#This Row],[Average emission factor per country (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"IF(Country_Emission_Factor[[#This Row],[Average emission factor per country (tCO2e/t)]]<>Country_Emission_Factor[[#This Row],[“Average emission factor” per country (capped) (tCO2e/t)]], \"Region average was used for country average emission factor\", \"Direct country average Emission Factor\")","v":{"$error":"#N/A"}},null,"Emissions: \"Burning - Crop residues\", \"Burning - Savanna\", \"Crop Residues\", \"Cultivation of Organic Soils\", \"Manure applied to Soils\", \"Synthetic Fertilizers\"",null,null,null,null,null,null,"Almonds",{"$f":"INDEX(CLUNE_POORE[Clune LCA\n(tCO2e/t)],MATCH(CLUNEs_crop_percentages[[#This Row],[Crop]],CLUNE_POORE[IFC Crop name],))","v":1.74},{"$f":"(CLUNEs_crop_percentages[[#This Row],[GhG \n(tCO2e/t)]]-$R$8)/$R$8","v":2.8862265829632721},null,"Algeria",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Middle East and North Africa"},"Almonds",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"AlgeriaAlmonds"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}},null,"Algeria",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions2[[#This Row],[Country]],Countries[Country],0))","v":"Middle East and North Africa"},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AJ$8,cattleFarmTypes,0))","v":43.870111925449592},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AK$8,cattleFarmTypes,0))","v":60.477229765768072},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AL$8,cattleFarmTypes,0))","v":30.881110884779254},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AM$8,cattleFarmTypes,0))","v":60.477229765768072},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AN$8,cattleFarmTypes,0))","v":30.881110884779254},{"$f":"INDEX(pigMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AO$8,pigFarmTypes,0))","v":6.7079474876581804},{"$f":"INDEX(pigMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AP$8,pigFarmTypes,0))","v":4.1944164907958008},{"$f":"INDEX(pigMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AQ$8,pigFarmTypes,0))","v":6.0528903828882932},{"$f":"INDEX(pigMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AR$8,pigFarmTypes,0))","v":7.3589129040368793},{"$f":"INDEX(chickenMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AS$8,chickenFarmTypes,0))","v":3.2441694844236304},{"$f":"INDEX(chickenMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AT$8,chickenFarmTypes,0))","v":3.2907767711636726},{"$f":"INDEX(chickenMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AU$8,chickenFarmTypes,0))","v":5.8199226863330242},{"$f":"INDEX(chickenMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AV$8,chickenFarmTypes,0))","v":3.0922198913249437},{"$f":"INDEX(cattleMilk,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AW$8,milkFarmTypes,0))","v":5.3230431413880028},{"$f":"INDEX(cattleMilk,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AX$8,milkFarmTypes,0))","v":7.9318306556209075},{"$f":"INDEX(cattleMilk,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AY$8,milkFarmTypes,0))","v":3.6077323256748368},{"$f":"INDEX(eggs,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AZ$8,eggFarmTypes,0))","v":2.7351172483352548},{"$f":"INDEX(eggs,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(BA$8,eggFarmTypes,0))","v":1.9049501547338767},{"$f":"INDEX(eggs,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(BB$8,eggFarmTypes,0))","v":2.8325334269918709},{"$f":"INDEX(cattleLive,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(BC$8,cattleFarmTypes,0))","v":22.008172815933875},{"$f":"INDEX(cattleLive,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(BD$8,cattleFarmTypes,0))","v":30.339410265826981},{"$f":"INDEX(cattleLive,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(BE$8,cattleFarmTypes,0))","v":15.492023960530926},{"$f":"INDEX(cattleLive,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(BF$8,cattleFarmTypes,0))","v":30.339410265826981},{"$f":"INDEX(cattleLive,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(BG$8,cattleFarmTypes,0))","v":15.492023960530926},{"$f":"INDEX(pigLive,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(BH$8,pigFarmTypes,0))","v":4.8073623661550293},{"$f":"INDEX(pigLive,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(BI$8,pigFarmTypes,0))","v":3.0059984850703239},{"$f":"INDEX(pigLive,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(BJ$8,pigFarmTypes,0))","v":4.3379047744032775},{"$f":"INDEX(pigLive,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(BK$8,pigFarmTypes,0))","v":5.2738875812264299},{"$f":"INDEX(chickenLive,MATCH(Modelled_Crop_Emmissions2[[#This 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Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}},null,"Brazil",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions2[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AJ$8,cattleFarmTypes,0))","v":45.744825299714407},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AK$8,cattleFarmTypes,0))","v":52.839027838490821},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AL$8,cattleFarmTypes,0))","v":43.151237006186236},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AM$8,cattleFarmTypes,0))","v":49.167810803233117},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This 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N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}},null,"Bulgaria",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions2[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AJ$8,cattleFarmTypes,0))","v":15.109225243996958},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AK$8,cattleFarmTypes,0))","v":15.773158374897619},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AL$8,cattleFarmTypes,0))","v":14.920059545901616},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AM$8,cattleFarmTypes,0))","v":15.773158374897619},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This 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to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}},null,"Burkina Faso",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions2[[#This 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Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}},null,"Cambodia",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions2[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AJ$8,cattleFarmTypes,0))","v":52.370325182306104},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AK$8,cattleFarmTypes,0))","v":76.499372992080708},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AL$8,cattleFarmTypes,0))","v":53.104102607850393},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AM$8,cattleFarmTypes,0))","v":51.377269527955306},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This 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crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}},null,"Central African 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Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}},null,"Chile",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions2[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AJ$8,cattleFarmTypes,0))","v":45.744825299714407},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AK$8,cattleFarmTypes,0))","v":52.839027838490821},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AL$8,cattleFarmTypes,0))","v":43.151237006186236},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AM$8,cattleFarmTypes,0))","v":49.167810803233117},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This 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Tobago",null,null,null,null,null,null,"Onions (fresh)",{"$f":"$R$46","v":0.56000000000000005},{"$f":"(CLUNEs_crop_percentages[[#This Row],[GhG \n(tCO2e/t)]]-$R$8)/$R$8","v":0.25073958991921419},null,"Algeria",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Middle East and North Africa"},"Onions (fresh)",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"AlgeriaOnions (fresh)"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to 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Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}},null,"Cyprus",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions2[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AJ$8,cattleFarmTypes,0))","v":15.109225243996958},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AK$8,cattleFarmTypes,0))","v":15.773158374897619},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AL$8,cattleFarmTypes,0))","v":14.920059545901616},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AM$8,cattleFarmTypes,0))","v":15.773158374897619},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This 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Factor\")","v":{"$error":"#N/A"}},null,null,null,null,null,null,null,null,"Peanuts",{"$f":"INDEX(CLUNE_POORE[Clune LCA\n(tCO2e/t)],MATCH(CLUNEs_crop_percentages[[#This Row],[Crop]],CLUNE_POORE[IFC Crop name],))","v":2.086941195120855},{"$f":"(CLUNEs_crop_percentages[[#This Row],[GhG \n(tCO2e/t)]]-$R$8)/$R$8","v":3.6611070974481654},null,"Algeria",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Middle East and North Africa"},"Peanuts",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"AlgeriaPeanuts"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This 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Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}},null,"Czech Republic",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions2[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AJ$8,cattleFarmTypes,0))","v":15.109225243996958},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AK$8,cattleFarmTypes,0))","v":15.773158374897619},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AL$8,cattleFarmTypes,0))","v":14.920059545901616},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AM$8,cattleFarmTypes,0))","v":15.773158374897619},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This 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Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}},null,"Democratic Republic of the Congo",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions2[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AJ$8,cattleFarmTypes,0))","v":64.793263051902187},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AK$8,cattleFarmTypes,0))","v":89.361891321517163},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AL$8,cattleFarmTypes,0))","v":36.338652815037214},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AM$8,cattleFarmTypes,0))","v":85.315952891049179},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This 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Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}},null,"Dominica",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions2[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AJ$8,cattleFarmTypes,0))","v":45.744825299714407},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AK$8,cattleFarmTypes,0))","v":52.839027838490821},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AL$8,cattleFarmTypes,0))","v":43.151237006186236},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AM$8,cattleFarmTypes,0))","v":49.167810803233117},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This 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Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}},null,"Dominican Republic",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions2[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AJ$8,cattleFarmTypes,0))","v":45.744825299714407},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AK$8,cattleFarmTypes,0))","v":52.839027838490821},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AL$8,cattleFarmTypes,0))","v":43.151237006186236},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AM$8,cattleFarmTypes,0))","v":49.167810803233117},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This 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Factor\")","v":{"$error":"#N/A"}},null,null,null,null,null,null,null,null,"Pistachios",{"$f":"INDEX(CLUNE_POORE[Clune LCA\n(tCO2e/t)],MATCH(CLUNEs_crop_percentages[[#This Row],[Crop]],CLUNE_POORE[IFC Crop name],))","v":1.53},{"$f":"(CLUNEs_crop_percentages[[#This Row],[GhG \n(tCO2e/t)]]-$R$8)/$R$8","v":2.4171992367435671},null,"Algeria",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Middle East and North Africa"},"Pistachios",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"AlgeriaPistachios"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This 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Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}},null,"Ecuador",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions2[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AJ$8,cattleFarmTypes,0))","v":45.744825299714407},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AK$8,cattleFarmTypes,0))","v":52.839027838490821},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AL$8,cattleFarmTypes,0))","v":43.151237006186236},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AM$8,cattleFarmTypes,0))","v":49.167810803233117},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This 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[null,"Ethiopia",{"$f":"INDEX(Countries[Region],MATCH(Country_Emission_Factor[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:],Country_Emission_Factor[[#This Row],[Country]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":43290279.465999991},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[Emissions (CO2eq) (AR5)],MATCH(Country_Emission_Factor[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))*1000","v":{"$error":"#N/A"}},{"$f":"Country_Emission_Factor[[#This Row],[Total GhG Emissions 2017-2021 (tCO2e)]]/Country_Emission_Factor[[#This Row],[Total Crop Production 2017-2021 (t)]]","v":{"$error":"#N/A"}},{"$f":"IF(OR(Country_Emission_Factor[[#This Row],[Average emission factor per country (tCO2e/t)]]>$K$21,Country_Emission_Factor[[#This Row],[Average emission factor per country (tCO2e/t)]]<$K$29),\n_xlfn.IFS(Country_Emission_Factor[[#This Row],[Region]]=\"Africa\",$O$88,\nCountry_Emission_Factor[[#This Row],[Region]]=\"East Asia and Pacific\",$O$60,\nCountry_Emission_Factor[[#This Row],[Region]]=\"Latin America and Caribbean\",$O$139,\nCountry_Emission_Factor[[#This Row],[Region]]=\"Europe and Central Asia\",$O$175,\nCountry_Emission_Factor[[#This Row],[Region]]=\"Middle East and North Africa\",$O$223,\nCountry_Emission_Factor[[#This Row],[Region]]=\"North America\",$O$235,\nCountry_Emission_Factor[[#This Row],[Region]]=\"South Asia\",$O$242),\nCountry_Emission_Factor[[#This Row],[Average emission factor per country (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"IF(Country_Emission_Factor[[#This Row],[Average emission factor per country (tCO2e/t)]]<>Country_Emission_Factor[[#This Row],[“Average emission factor” per country (capped) (tCO2e/t)]], \"Region average was used for country average emission factor\", \"Direct country average Emission Factor\")","v":{"$error":"#N/A"}},null,"Calculations for regional weighted average 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Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This 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Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}},null,"Eritrea",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions2[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AJ$8,cattleFarmTypes,0))","v":64.793263051902187},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AK$8,cattleFarmTypes,0))","v":89.361891321517163},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AL$8,cattleFarmTypes,0))","v":36.338652815037214},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This Row],[Region]],proteinRegions,0),MATCH(AM$8,cattleFarmTypes,0))","v":85.315952891049179},{"$f":"INDEX(cattleMeat,MATCH(Modelled_Crop_Emmissions2[[#This 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[null,"Lao People's Democratic Republic",{"$f":"INDEX(Countries[Region],MATCH(Country_Emission_Factor[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Corresponding IFC country:],Country_Emission_Factor[[#This Row],[Country]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":15436937.950000003},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[Emissions (CO2eq) (AR5)],MATCH(Country_Emission_Factor[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))*1000","v":{"$error":"#N/A"}},{"$f":"Country_Emission_Factor[[#This Row],[Total GhG Emissions 2017-2021 (tCO2e)]]/Country_Emission_Factor[[#This Row],[Total Crop Production 2017-2021 (t)]]","v":{"$error":"#N/A"}},{"$f":"IF(OR(Country_Emission_Factor[[#This Row],[Average emission factor per country (tCO2e/t)]]>$K$21,Country_Emission_Factor[[#This Row],[Average emission factor per country (tCO2e/t)]]<$K$29),\n_xlfn.IFS(Country_Emission_Factor[[#This Row],[Region]]=\"Africa\",$O$88,\nCountry_Emission_Factor[[#This Row],[Region]]=\"East Asia and Pacific\",$O$60,\nCountry_Emission_Factor[[#This Row],[Region]]=\"Latin America and Caribbean\",$O$139,\nCountry_Emission_Factor[[#This Row],[Region]]=\"Europe and Central Asia\",$O$175,\nCountry_Emission_Factor[[#This Row],[Region]]=\"Middle East and North Africa\",$O$223,\nCountry_Emission_Factor[[#This Row],[Region]]=\"North America\",$O$235,\nCountry_Emission_Factor[[#This Row],[Region]]=\"South Asia\",$O$242),\nCountry_Emission_Factor[[#This Row],[Average emission factor per country (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"IF(Country_Emission_Factor[[#This Row],[Average emission factor per country (tCO2e/t)]]<>Country_Emission_Factor[[#This Row],[“Average emission factor” per country (capped) (tCO2e/t)]], \"Region average was used for country average emission factor\", \"Direct country average Emission Factor\")","v":{"$error":"#N/A"}},null,"Calculations for regional weighted average for \"Africa\" countries",null,null,null,null,null,null,null,null,null,null,"Angola",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Cherries",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"AngolaCherries"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This 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(tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography 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(tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography 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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Australia",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Cherries",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"AustraliaCherries"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Austria",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Asparagus",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"AustriaAsparagus"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Apples",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"BahamasApples"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"South Asia"},"Mangoes",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"BangladeshMangoes"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Soybeans",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"BarbadosSoybeans"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Belgium",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Sweet peppers",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"BelgiumSweet peppers"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Benin",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Pears",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"BeninPears"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bhutan",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"South Asia"},"Cucumbers",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"BhutanCucumbers"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bolivia (Plurinational State of)",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Hazelnuts",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Bolivia (Plurinational State of)Hazelnuts"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bosnia and Herzegovina",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Raspberries",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Bosnia and HerzegovinaRaspberries"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Botswana",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Sesame seed",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"BotswanaSesame seed"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Burkina Faso",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Barley",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Burkina FasoBarley"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Burundi",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Millet",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"BurundiMillet"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cabo Verde",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Sunflower seeds",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Cabo VerdeSunflower seeds"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cambodia",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Sweet potatoes",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"CambodiaSweet potatoes"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cameroon",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Grapes",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"CameroonGrapes"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Central African Republic",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Bananas",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Central African RepublicBananas"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Chad",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Lemons",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"ChadLemons"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Chile",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Soybeans",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"ChileSoybeans"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"China",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Sorghum",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"ChinaSorghum"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Comoros",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Pears",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"ComorosPears"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Costa Rica",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Coconuts",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Costa RicaCoconuts"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cote d'Ivoire",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Lettuce",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Cote d'IvoireLettuce"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Croatia",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Pineapples",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"CroatiaPineapples"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cyprus",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Lettuce",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"CyprusLettuce"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Democratic Republic of the Congo",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Barley",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Democratic Republic of the CongoBarley"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Denmark",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Buckwheat",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"DenmarkBuckwheat"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Dominica",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Grapes",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"DominicaGrapes"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Dominican Republic",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Onions (fresh)",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Dominican RepublicOnions (fresh)"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Egypt",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Middle East and North Africa"},"Pistachios",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"EgyptPistachios"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Equatorial Guinea",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Coffee",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Equatorial GuineaCoffee"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Eritrea",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Mangoes",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"EritreaMangoes"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Estonia",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Lettuce",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"EstoniaLettuce"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Ethiopia",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Cotton",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"EthiopiaCotton"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Ethiopia",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Spinach",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"EthiopiaSpinach"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Fiji",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Rye",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"FijiRye"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"France",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Cocoa",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"FranceCocoa"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Gabon",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Cucumbers",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"GabonCucumbers"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Georgia",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Chickpeas",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"GeorgiaChickpeas"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Ghana",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Asparagus",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"GhanaAsparagus"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Greece",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Asparagus",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"GreeceAsparagus"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Grenada",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Litchi",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"GrenadaLitchi"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Guatemala",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Asparagus",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"GuatemalaAsparagus"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Guinea",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Strawberries",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"GuineaStrawberries"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Guinea-Bissau",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Spinach",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Guinea-BissauSpinach"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Haiti",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Almonds",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"HaitiAlmonds"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Honduras",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Garlic (green)",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"HondurasGarlic (green)"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Iceland",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Cotton",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"IcelandCotton"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Indonesia",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Avocados",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"IndonesiaAvocados"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Ireland",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Beans",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"IrelandBeans"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Italy",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Cassava",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"ItalyCassava"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Jamaica",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Sweet peppers",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"JamaicaSweet peppers"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Japan",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Peanuts",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"JapanPeanuts"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Kenya",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Potatoes",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"KenyaPotatoes"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Kiribati",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Apples",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"KiribatiApples"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Kyrgyzstan",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Barley",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"KyrgyzstanBarley"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Lao People's Democratic Republic",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Spinach",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Lao People's Democratic RepublicSpinach"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Lebanon",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Middle East and North Africa"},"Sorghum",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"LebanonSorghum"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Liberia",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Carrots",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"LiberiaCarrots"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Lithuania",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Cherries",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"LithuaniaCherries"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Lithuania",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Peas (dry)",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"LithuaniaPeas (dry)"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Madagascar",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Pears",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"MadagascarPears"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Malawi",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Litchi",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"MalawiLitchi"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Malaysia",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Rye",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"MalaysiaRye"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Mali",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Cocoa",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"MaliCocoa"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Marshall Islands",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Mangoes",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Marshall IslandsMangoes"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Mauritania",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Onions (fresh)",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"MauritaniaOnions (fresh)"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Mauritius",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Potatoes",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"MauritiusPotatoes"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Mexico",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Watermelons",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"MexicoWatermelons"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Moldova",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Millet",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"MoldovaMillet"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Mongolia",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Hazelnuts",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"MongoliaHazelnuts"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Morocco",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Middle East and North Africa"},"Millet",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"MoroccoMillet"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Mozambique",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Sesame seed",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"MozambiqueSesame seed"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Namibia",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Cucumbers",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"NamibiaCucumbers"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Nepal",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"South Asia"},"Cassava",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"NepalCassava"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"New Zealand",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Onions, dry",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"New ZealandOnions, dry"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Nicaragua",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Rye",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"NicaraguaRye"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Niger",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Wheat",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"NigerWheat"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Norway",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Onions, dry",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"NorwayOnions, dry"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Pakistan",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Middle East and North Africa"},"Broccoli",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"PakistanBroccoli"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Panama",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Avocados",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"PanamaAvocados"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Papua New Guinea",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Oats",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Papua New GuineaOats"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Paraguay",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Strawberries",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"ParaguayStrawberries"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Poland",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Coconuts",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"PolandCoconuts"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Portugal",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Garlic (green)",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"PortugalGarlic (green)"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Romania",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Cucumbers",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"RomaniaCucumbers"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Rwanda",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Rapeseeds",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"RwandaRapeseeds"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Saint Kitts and Nevis",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Cucumbers",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Saint Kitts and NevisCucumbers"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Samoa",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Buckwheat",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"SamoaBuckwheat"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sao Tome and Principe",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Blueberries",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Sao Tome and PrincipeBlueberries"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Senegal",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Onions (fresh)",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"SenegalOnions (fresh)"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Seychelles",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Sweet potatoes",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"SeychellesSweet potatoes"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Slovenia",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Apples",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"SloveniaApples"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Slovenia",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Quinoa",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"SloveniaQuinoa"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Solomon Islands",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Lettuce",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Solomon IslandsLettuce"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Somalia",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Raspberries",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"SomaliaRaspberries"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"South Sudan",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Cashew nuts",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"South SudanCashew nuts"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"South Sudan",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Sweet peppers",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"South SudanSweet peppers"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sri Lanka",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"South Asia"},"Wheat",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Sri LankaWheat"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sudan",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Cucumbers",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"SudanCucumbers"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sweden",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Wheat",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"SwedenWheat"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Switzerland",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Quinoa",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"SwitzerlandQuinoa"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Thailand",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Sesame seed",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"ThailandSesame seed"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Togo",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Litchi",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"TogoLitchi"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Tonga",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Millet",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"TongaMillet"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Tunisia",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Middle East and North Africa"},"Cocoa",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"TunisiaCocoa"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Tunisia",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Middle East and North Africa"},"Sweet potatoes",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"TunisiaSweet potatoes"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Turkey",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Quinoa",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"TurkeyQuinoa"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Turkmenistan",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Garlic (green)",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"TurkmenistanGarlic (green)"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Tuvalu",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Mushrooms",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"TuvaluMushrooms"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Ukraine",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Sesame seed",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"UkraineSesame seed"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"United Kingdom",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Garlic (green)",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"United KingdomGarlic (green)"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"United States of America",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"North America"},"Cassava",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"United States of AmericaCassava"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Uruguay",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Coconuts",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"UruguayCoconuts"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Uzbekistan",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Sesame seed",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"UzbekistanSesame seed"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Vanuatu",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Pineapples",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"VanuatuPineapples"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Viet Nam",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Oranges",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Viet NamOranges"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Yemen",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Middle East and North Africa"},"Barley",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"YemenBarley"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Zambia",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Oranges",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"ZambiaOranges"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Zimbabwe",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Mangoes",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"ZimbabweMangoes"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Madagascar",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Olives",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"MadagascarOlives"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Burkina Faso",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Burkina FasoPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Moldova",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"MoldovaPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Somalia",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"SomaliaPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"South Africa",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"South AfricaPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"South Sudan",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"South SudanPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Spain",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"SpainPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sri Lanka",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"South Asia"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Sri LankaPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sudan",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"SudanPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sweden",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"SwedenPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Switzerland",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"SwitzerlandPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Tajikistan",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"TajikistanPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Thailand",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"ThailandPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Timor-Leste",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Timor-LestePalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Togo",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"TogoPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Tonga",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"TongaPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Trinidad and Tobago",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Trinidad and TobagoPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Tunisia",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Middle East and North Africa"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"TunisiaPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Turkey",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"TurkeyPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Turkmenistan",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"TurkmenistanPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Tuvalu",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"TuvaluPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Uganda",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"UgandaPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Ukraine",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"UkrainePalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"United Kingdom",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"United KingdomPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"United Republic of Tanzania",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"United Republic of TanzaniaPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"United States of America",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"North America"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"United States of AmericaPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Uruguay",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"UruguayPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Uzbekistan",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"UzbekistanPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Vanuatu",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"VanuatuPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Venezuela (Bolivarian Republic of)",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Venezuela (Bolivarian Republic of)Palm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Viet Nam",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Viet NamPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Yemen",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Middle East and North Africa"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"YemenPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Zambia",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"ZambiaPalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Zimbabwe",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Palm fruit",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"ZimbabwePalm fruit"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)), \"YES\", \"NO\")","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[IFC Crop name],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":{"$error":"#N/A"}},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":{"$error":"#N/A"}},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":{"$error":"#N/A"}}]

{"sheet":"Clune_Poore","index":59,"n_rows":162,"n_cols":34,"rows_kept":162,"cut":false,"hidden":true,"merged":[[1,11,2,11],[1,1,2,1],[1,4,3,4],[4,28,4,33]]}
["FAOSTAT data",null,"Some crop names are different between IFC, CLUNE and FAOSTAT",null,"For crops that were missing from Clune, Poore's EF was used for:\n- Bananas\n- Cassava\n- Soybeans\n- Sugar Cane\n- Sweet Potatos"]
["Clune/Poore data","Sum of ALL crops for ALL countries",null,null,"For these crops an EF was chosen from other research sources beside Clune/Poore. These separate sources are listed next to each line.",null,null,null,null,null,null,"Weighted average (t CO2e/t)"]
["Calculation based on both of the above"]
[null,"We included ALL countries because CLUNE has GLOBAL averages","Some crops were combined to match CLUNE's crop categories\n(highlighted in yellow)",null,null,null,null,null,null,null,null,{"$f":"SUM(CLUNE_POORE[contribution to weighted emissions factor])","v":0.44773508771411857},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Poore Farm emissions (column BS)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"(tCO2e/t)"]
[null,"Crop","Prodution (all Countries) (t)","Notes","Alternative source","IFC Crop name","Crop","Clune LCA\n(tCO2e/t)","Production (all Countries) (t)","Crop % of total production ","contribution to weighted emissions factor","% difference of crop to weighted average Clune global emissions factor",null,null,"IFC Crop name","Crops","Average\n(tCO2e/t)","Median\n(tCO2e/t)","MIN\n(tCO2e/t)","Weighted MIN","MAX\n(tCO2e/t)","Weighted MAX","LCA studies (No)","GWP values (No)",null,null,null,null,"Soy","Bananas","Cassava","Sugar Cane","Sweet Potatoes","Lettuce"]
[null,"Agave fibres nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,null,"Almonds","Almonds",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":1.74},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":3728946.7750000004},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":4.2666975523201458E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":7.4240537410370539E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":2.8862265829632721},null,null,"Almonds","Almonds",1.74,1.54,0.51,{"$f":"S7*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.1760157516832745E-4},3.77,{"$f":"U7*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.608544977224695E-3},4,6,null,null,null,null,2.6072564455621415E-2,0.39273229000000004,1.4816837260619227E-2,0.42397452757145931,0.18556810997526044,0.24848412508410025]
[null,"Almonds",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":3728946.7750000004},null,null,"Apples","Apples",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.36},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":130804196.15799996},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":1.4966744693762558E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":5.3880280897545211E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-0.19595312076621957},null,null,"Apples","Apples",0.36,0.28999999999999998,0.18,{"$f":"S8*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.6940140448772605E-3},0.89,{"$f":"U8*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.3320402777448677E-2},21,33,null,null,null,null,2.5495058896786306E-2,0.35182909440068116,0.37290405729601184,0.35257930889818917,2.5515915758968475E-2,0.30869422069122915]
[null,"Anise, badian, fennel, coriander",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,null,null,"Apricots",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.43},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":4079636.1819999996},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":4.6679598187871965E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":2.0072227220784943E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-3.9610672026317795E-2},null,null,null,"Apricots",0.43,0.43,0.43,{"$f":"S9*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.0072227220784943E-4},0.43,{"$f":"U9*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.0072227220784943E-4},1,1,null,"Min of Min",{"$f":"MIN(CLUNE_POORE_Min_Max[MIN\n(tCO2e/t)])","v":9.9474186544305943E-3},null,8.0127357844299349E-2,0.18834977999999999,5.7561794611439489E-2,0.30669473438987938,2.4781139614960784E-2,0.17967638858427909]
[null,"Apples",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":130804196.15799996},null,null,null,"Artichokes",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.48},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":1631424.8766666662},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":1.8666923793965548E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":8.9601234211034625E-5},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":7.2062505645040575E-2},null,null,null,"Artichokes",0.48,0.48,0.48,{"$f":"S10*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":8.9601234211034625E-5},0.48,{"$f":"U10*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":8.9601234211034625E-5},1,1,null,null,null,null,4.2843551667011225E-2,0.43324987292139677,0.2508064854322673,0.41061895109287755,0.4156513749219346,0.22483363508422444]
[null,"Apricots",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":4079636.1819999996},null,null,"Asparagus","Asparagus",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.92},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":16241425.409999996},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":1.8583598593476089E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.7096910705998003E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":1.0547864691529947},null,null,"Asparagus","Asparagus",0.92,0.83,0.18,{"$f":"S11*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":3.3450477468256957E-4},2.54,{"$f":"U11*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":4.7202340427429266E-3},5,28,null,"Average of MIN",{"$f":"AVERAGE(CLUNE_POORE_Min_Max[MIN\n(tCO2e/t)])","v":0.47897461228740601},null,5.1475942056897726E-2,0.38464393681198161,9.4801252373453312E-2,0.38344968403380125,6.8265828923585556E-2,9.338063540539901E-2]
[null,"Areca nuts",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":1987653.8560000001},null,null,"Avocados","Avocados",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":1.3},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":7554547.1080000019},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":8.6439870557258999E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.123718317244367E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":1.9035026194553184},null,null,"Avocados","Avocados",1.3,1.3,1.3,{"$f":"S12*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.123718317244367E-3},1.3,{"$f":"U12*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.123718317244367E-3},2,1,null,"Average of MAX",{"$f":"AVERAGE(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)])","v":1.0681593244033152},null,2.4431104768074481E-2,0.14651488301626922,0.3230038489268961,0.45712950471809954,0.23925176084404856,0.39224168294423073]
[null,"Artichokes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":1631424.8766666662},null,"Poore","Bananas","Bananas",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.28399292808359222},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":134902763.59866664},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":1.5435706808865732E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":4.3836315736896208E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-0.36571214569423394},null,"Poore","Bananas","Bananas",{"$f":"AD61","v":0.28399292808359222},{"$f":"AD70","v":0.27344514525690145},{"$f":"AD64","v":9.1363844850827228E-2},{"$f":"S13*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.4102655220480662E-3},{"$f":"AD67","v":0.66963549247787779},{"$f":"U13*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.0336297130698936E-2},{"$f":"COUNT(Poore[Bananas])","v":23},{"$f":"CLUNE_POORE_Min_Max[[#This Row],[LCA studies (No)]]","v":23},null,null,null,null,3.0600784525449617E-2,0.15352003,0.46618188593077448,0.64655446628973601,0.19530808615363704,0.25349113546427365]
[null,"Asparagus",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":16241425.409999996},null,null,"Barley","Barley",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.49},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":151916973.91600004},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":1.7382489476892058E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":8.5174198436771091E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":9.4397141179312277E-2},null,null,"Barley","Barley",0.49,0.43,0.11,{"$f":"S14*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.9120738424581263E-3},0.98,{"$f":"U14*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.7034839687354218E-2},7,13,null,"Weighted MIN",{"$f":"SUM(CLUNE_POORE_Min_Max[Weighted MIN])","v":0.30417846661992004},null,4.0859266787915891E-2,0.36827548491963674,6.1972556215420693E-2,0.72152290038185718,0.19211425269844021,0.17667812362919971]
[null,"Avocados",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":7554547.1080000019},null,null,"Beans","Beans",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.62},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":29359334.454000004},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":3.3593239059474191E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":2.0827808216873998E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":0.38474740312484412},null,null,"Beans","Beans",0.62,0.43,0.22,{"$f":"S15*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":7.3905125930843216E-4},1.55,{"$f":"U15*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":5.2069520542184994E-3},11,22,null,"Weighted MAX",{"$f":"SUM(CLUNE_POORE_Min_Max[Weighted MAX])","v":1.1026060122170129},null,4.1353267592018468E-2,0.27344514525690145,5.9022648392912283E-2,0.82650158850783506,null,0.22361161134588725]
[null,"Bambara beans",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,null,null,"Beans, green",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.51},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":41397009.035333343},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":4.7366864635506019E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":2.415710096410807E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":0.13906641224785568},null,null,null,"Beans, green",0.51,0.31,0.24,{"$f":"S16*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.1368047512521444E-3},1.55,{"$f":"U16*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":7.3418640185034332E-3},4,7,null,null,null,null,0.14442482902417772,0.2044519525098912,2.013008316802211E-2,0.60605625733826352,null,0.22032354582662009]
[null,"Bananas",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":134902763.59866664},null,"Xu Z. et al (calculated from Buckwheat flour)","Buckwheat","Buckwheat",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":1.62095104},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":2921954.2306666672},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":3.343328751045786E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":5.4193722160695678E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":2.6203350697298635},null,"Xu Z. et al (calculated from Buckwheat flour)","Buckwheat","Buckwheat",{"$f":"1.91-Flour!$D$5","v":1.62095104},{"$f":"1.91-Flour!$D$5","v":1.62095104},{"$f":"1.91-Flour!$D$5","v":1.62095104},{"$f":"S17*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":5.4193722160695678E-4},{"$f":"1.91-Flour!$D$5","v":1.62095104},{"$f":"U17*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":5.4193722160695678E-4},1,1,null,null,null,null,8.3282004527759565E-2,0.26304999173123333,1.2130543919231727,0.48672922431550136,null,0.2838627179509533]
[null,"Barley",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":151916973.91600004},null,null,"Carrots","Carrots",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.22},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":59399214.333999984},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":6.7965164884558433E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.4952336274602854E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-0.50863801824602306},null,null,"Carrots","Carrots",0.22,0.2,0.04,{"$f":"S18*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.7186065953823372E-4},0.5,{"$f":"U18*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":3.3982582442279217E-3},10,13,null,null,null,null,5.3818223889133883E-2,0.29061254918660884,0.79085383010460397,0.47806258143353231,null,9.6321959479311742E-2]
[null,"Bastfibres, other",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,null,"Cashew nuts","Cashew nuts",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":1.55},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":3612021.5100000002},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":4.1329105148315545E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":6.4060112979889101E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":2.4618685078121101},null,null,"Cashew nuts","Cashew nuts",1.55,1.44,1.06,{"$f":"S19*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":4.3808851457214482E-4},2.27,{"$f":"U19*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":9.381706868667629E-4},3,4,null,null,null,null,4.5781643422056234E-2,0.29116312464480054,0.50619475901131061,0.75174327726562806,null,4.6835958893804729E-2]
[null,"Beans",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":29359334.454000004},null,"Poore","Cassava","Cassava",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.24052192718548573},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":313455312.30799997},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":3.5865864934108378E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":8.6265269541260809E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-0.4628030418311545},null,"Poore","Cassava","Cassava",{"$f":"AE61","v":0.24052192718548573},{"$f":"AE70","v":0.1192296037735068},{"$f":"AE64","v":9.9474186544305943E-3},{"$f":"S20*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":3.567727739028378E-4},{"$f":"AE67","v":1.2130543919231727},{"$f":"U20*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":4.3507244978443479E-2},{"$f":"COUNT(Poore[Cassava])","v":52},{"$f":"CLUNE_POORE_Min_Max[[#This Row],[LCA studies (No)]]","v":52},null,null,null,null,3.7823280599946905E-2,0.27107684910115293,0.53747914703301425,null,null,5.8404640385349024E-2]
[null,"Beans, green",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":41397009.035333343},null,null,"Broccoli","Cauliflowers and broccoli",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.35},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":35340090.674000002},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":4.0436479112128864E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.4152767689245103E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-0.21828775630049127},null,null,"Broccoli","Cauliflowers and broccoli",0.35,0.36,0.28000000000000003,{"$f":"S21*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.1322214151396083E-3},0.42,{"$f":"U21*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.6983321227094122E-3},4,4,null,null,null,null,5.7185661550761616E-2,0.32246440523722092,6.5761472237989838E-2,null,null,5.6291281494679456E-2]
[null,"Berries nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,null,"Cherries","Cherries",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.48},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":4084401.1106666671},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":4.6734118970027808E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":2.2432377105613348E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":7.2062505645040575E-2},null,null,"Cherries","Cherries",0.48,0.39,0.26,{"$f":"S22*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.215087093220723E-4},0.88,{"$f":"U22*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":4.1126024693624472E-4},2,4,null,null,null,null,4.3482905123844201E-2,0.39957764278259544,0.34172554430924734,null,null,0.45772159377219696]
[null,"Blueberries",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":951537.85800000001},null,null,null,"Chestnut",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.43},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":3663584.5579999997},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":4.1919094611739206E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.8025210683047859E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-3.9610672026317795E-2},null,null,null,"Chestnut",0.43,0.43,0.43,{"$f":"S23*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.8025210683047859E-4},0.43,{"$f":"U23*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.8025210683047859E-4},1,1,null,null,null,null,6.1513339754117373E-2,0.2740435234857041,2.5447770176542529E-2,null,null,0.10110321860988267]
[null,"Brazil nuts, with shell",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,null,"Chickpeas","Chickpeas",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.67},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":15596751.055999996},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":1.7845955861030445E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.1956790426890399E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":0.4964205807962026},null,null,"Chickpeas","Chickpeas",0.67,0.77,0.45,{"$f":"S24*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":8.0306801374637003E-4},0.8,{"$f":"U24*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.4276764688824356E-3},2,3,null,null,null,null,8.1739269550182278E-2,0.22076267999999999,0.97731352313666731,null,null,4.1224921480270134E-2]
[null,"Broad beans, horse beans (dry)",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,"Chocolate sustainability report 2014-15 https://www.barry-callebaut.com/sites/default/files/2019-01/barry-callebaut-chocolate-sustainability-report-2014-15.pdf","Cocoa","Cocoa",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.84199999999999997},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":5530944.4453333318},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":6.3285609988151224E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":5.3286483610023329E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":0.88057631198567532},null,"Chocolate sustainability report 2014-15 https://www.barry-callebaut.com/sites/default/files/2019-01/barry-callebaut-chocolate-sustainability-report-2014-15.pdf","Cocoa","Cocoa",0.84199999999999997,0.84199999999999997,0.84199999999999997,{"$f":"S25*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":5.3286483610023329E-4},0.84199999999999997,{"$f":"U25*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":5.3286483610023329E-4},1,1,null,null,null,null,2.3968856353041725E-2,0.19505348955498686,0.35312471356227432,null,null,0.28627135937876813]
[null,"Buckwheat",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":2921954.2306666672},null,"Ecoinvent","Coconuts","Coconuts",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.73327021000000003},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":62853077.600000009},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":7.1917109182044626E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":5.2734673752510789E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":0.63773228884888578},null,"Ecoinvent","Coconuts","Coconuts",0.73327021000000003,0.70828201999999996,0.25696581000000002,{"$f":"S26*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.8480238213822535E-3},1.2345628,{"$f":"U26*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":8.8786187679690716E-3},3,3,null,null,null,null,2.2775174540420509E-2,0.1835357,2.588144544421133E-2,null,null,0.14203107743807111]
[null,"Cabbages and other brassicas",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,"0.26 and 0.67 kgCO2e for conventional \nhttps://www.researchgate.net/publication/257015313_Greenhouse_gas_emissions_in_coffee_grown_with_differing_input_levels_under_conventional_and_organic_management","Coffee","Coffee",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.46500000000000002},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":10506995.824000007},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":1.2022207896624862E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":5.5903266719305612E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":3.8560552343633155E-2},null,"0.26 and 0.67 kgCO2e for conventional \nhttps://www.researchgate.net/publication/257015313_Greenhouse_gas_emissions_in_coffee_grown_with_differing_input_levels_under_conventional_and_organic_management","Coffee","Coffee",0.46500000000000002,0.46500000000000002,0.46500000000000002,{"$f":"S27*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":5.5903266719305612E-4},0.46500000000000002,{"$f":"U27*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":5.5903266719305612E-4},1,1,null,null,null,null,2.1466881167927478E-2,0.66963549247787779,3.859811312907431E-2,null,null,0.1593626439400655]
[null,"Canary seed",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":257603.484},null,"WWF - India","Cotton","Cotton",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":2.3650000000000002},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":93992272.64533335},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":1.075468822246334E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":2.5434837646125801E-2},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":4.2821413038552523},null,"WWF - India","Cotton","Cotton",2.3650000000000002,2.3650000000000002,2.3650000000000002,{"$f":"S28*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.5434837646125801E-2},2.3650000000000002,{"$f":"U28*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.5434837646125801E-2},1,1,null,null,null,null,6.247977317120415E-2,9.1363844850827228E-2,1.9154801442579725E-2,null,null,0.37394022895245765]
[null,"Carobs",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,null,null,"Cow peas (dry)",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.48},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":8715027.4600000009},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":9.9718200810160001E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":4.7864736388876798E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":7.2062505645040575E-2},null,null,null,"Cow peas (dry)",0.48,0.49,0.33,{"$f":"S29*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":3.2907006267352803E-4},0.61,{"$f":"U29*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":6.0828102494197601E-4},1,4,null,null,null,null,5.1941829676536079E-2,0.16248558303285471,0.14926231374853086,null,null,0.23248784587122823]
[null,"Carrots",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":59399214.333999984},null,null,"Blueberries","Cranberries/blueberries",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.92},{"$f":"C23+C51","v":1489810.21},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":1.704655485845212E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.5682830469775951E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":1.0547864691529947},null,null,"Blueberries","Cranberries/blueberries",0.92,0.92,0.86,{"$f":"S30*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.4660037178268823E-4},0.97,{"$f":"U30*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.6535158212698555E-4},2,2,null,null,null,null,4.4946545018077225E-2,null,0.87002793083349439,null,null,0.34294593616408608]
[null,"Cashew nuts",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":3612021.5100000002},null,null,"Cucumbers","Cucumbers and gherkins",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.33},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":157969464.48799995},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":1.8075021397222099E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":5.9647570610832932E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-0.26295702736903454},null,null,"Cucumbers","Cucumbers and gherkins",0.33,0.23,0.13,{"$f":"S31*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.3497527816388731E-3},1.3,{"$f":"U31*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.3497527816388728E-2},7,15,null,null,null,null,5.5677583765743929E-2,null,0.21466192599064199]
[null,"Cashewapple",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":1347049.2580000001},null,null,null,"Currants and gooseberries",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.84},{"$f":"C53+C67","v":834067.31500000006},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":9.5434801999305435E-5},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":8.0165233679416558E-5},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":0.87610938487882106},null,null,null,"Currants and gooseberries",0.84,0.84,0.84,{"$f":"S32*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":8.0165233679416558E-5},0.84,{"$f":"U32*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":8.0165233679416558E-5},1,1,null,null,null,null,0.22652310366650449,null,3.7922387485661291E-2]
[null,"Cassava",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":313455312.30799997},null,null,null,"Dates",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.32},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":9308331.5319999997},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":1.0650684431871202E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":3.4082190181987848E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-0.28529166290330626},null,null,null,"Dates",0.32,0.32,0.32,{"$f":"S33*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":3.4082190181987848E-4},0.32,{"$f":"U33*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":3.4082190181987848E-4},1,1,null,null,null,null,5.65001137942584E-2,null,9.9094958731005905E-2]
[null,"Cassava leaves",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,null,null,"Eggplants (aubergines)",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":1.35},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":91644879.726666644},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":1.0486097217422543E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.4156231243520435E-2},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":2.0151757971266768},null,null,null,"Eggplants (aubergines)",1.35,1.35,1.3,{"$f":"S34*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.3631926382649307E-2},1.4,{"$f":"U34*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.4680536104391559E-2},1,2,null,null,null,null,4.0460084207563259E-2,null,6.0151070555378147E-2]
[null,"Castor oil seed",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,null,null,"Figs",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.43},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":1321999.3946666669},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":1.512644701503679E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":6.50437221646582E-5},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-3.9610672026317795E-2},null,null,null,"Figs",0.43,0.43,0.43,{"$f":"S35*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":6.50437221646582E-5},0.43,{"$f":"U35*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":6.50437221646582E-5},1,1,null,null,null,null,0.10583849699187631,null,0.10289017722403385]
[null,"Cauliflowers and broccoli",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":35340090.674000002},null,null,"Garlic (green)","Garlic (green)",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.56999999999999995},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":48891494.804666683},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":5.5942128917177807E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":3.1887013482791346E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":0.27307422545348564},null,null,"Garlic (green)","Garlic (green)",0.56999999999999995,0.56999999999999995,0.56999999999999995,{"$f":"S36*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":3.1887013482791346E-3},0.56999999999999995,{"$f":"U36*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":3.1887013482791346E-3},1,1,null,null,null,null,0.45073838470237215,null,9.0826715031798247E-2]
[null,"Cereals nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,null,"Ginger","Ginger",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.88},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":4798153.1859999998},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":5.4900940371730854E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":4.8312827527123152E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":0.96544792701590776},null,null,"Ginger","Ginger",0.88,0.88,0.88,{"$f":"S37*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":4.8312827527123152E-4},0.88,{"$f":"U37*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":4.8312827527123152E-4},1,1,null,null,null,null,0.12971832778542158,null,7.8245368960000006E-2]
[null,"Cherries",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":4084401.1106666671},"`Covering both Cherries and Sour Cherries",null,null,"Grapefruit (inc. pomelos)",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.51},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":14291646.426000005},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":1.6352642315319496E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":8.3398475808129432E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":0.13906641224785568},null,null,null,"Grapefruit (inc. pomelos)",0.51,0.51,0.51,{"$f":"S38*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":8.3398475808129432E-4},0.51,{"$f":"U38*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":8.3398475808129432E-4},2,1,null,null,null,null,0.11272161982529,null,9.1563690508446038E-2]
[null,"Chestnut",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":3663584.5579999997},null,null,"Grapes","Grapes",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.41},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":91004830.715999961},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":1.0412862180508495E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":4.2692734940084831E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-8.4279943094861198E-2},null,null,"Grapes","Grapes",0.41,0.37,0.15,{"$f":"S39*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.5619293270762744E-3},0.88,{"$f":"U39*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":9.1633187188474765E-3},5,6,null,null,null,null,0.10717469713756349,null,0.43012726077415286]
[null,"Chickpeas",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":15596751.055999996},null,null,"Hazelnuts","Hazelnuts, with shell",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.99},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":1054071.8499999999},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":1.2060793713969185E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.1940185776829493E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":1.2111289178928961},null,null,"Peanuts","Peanuts",0.99,0.99,0.65,{"$f":"S40*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":5.1655301672748587E-3},1.33,{"$f":"U40*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.0569469419193171E-2},2,2,null,null,null,null,7.601482077041774E-2,null,0.31765770786597852]
[null,"Chicory roots",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":500316.26199999999},null,null,null,"Kiwi fruit",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.97},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":6492670.2713333331},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":7.4289771418686195E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":7.206107827612561E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":1.1664596468243527},null,null,"Hazelnuts","Hazelnuts, with shell",0.97,0.97,0.43,{"$f":"S41*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":5.1861412970067496E-5},1.5,{"$f":"U41*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.8091190570953777E-4},2,2,null,null,null,null,0.18745898642524603,null,0.27496334861862903]
[null,"Chillies and peppers, green",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,null,"Lemons","Lemons",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.47},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":22324708.168999992},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":2.5544150519802959E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.2005750744307391E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":4.9727870110768881E-2},null,null,null,"Kiwi fruit",0.47,0.36,0.15,{"$f":"S42*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.1143465712802928E-4},0.88,{"$f":"U42*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":6.5374998848443853E-4},5,9,null,null,null,null,0.1653267052097388,null,0.23305316723112013]
[null,"Cinnamon (cannella)",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,null,"Lentils","Lentils",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.3},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":6534595.8699999982},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":7.4769488239558805E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":2.243084647186764E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-0.32996093397184961},null,null,"Lemons","Lemons",0.3,0.26,0.18,{"$f":"S43*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":4.5979470935645327E-4},0.45,{"$f":"U43*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.1494867733911332E-3},2,3,null,null,null,null,5.5925854534228978E-2,null,4.9172104903910142E-2]
[null,"Cloves",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,"Poore","Lettuce","Lettuce",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":1.03},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":42064669.622000001},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":4.8130808441303905E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":4.9574732694543022E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":1.300467460029983},null,null,"Lentils","Lentils",1.03,1.03,1,{"$f":"S44*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":7.4769488239558805E-4},1.06,{"$f":"U44*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":7.9255657533932342E-4},2,2,null,null,null,null,0.19075862152136722,null,1.5727962193049422E-2]
[null,"Cocoa",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":5530944.4453333318},null,null,"Maize","Maize",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.20834252032794034},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":1427037480.5280004},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":0.16328303117809789},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":3.4018798242430578E-2},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-0.53467457421838638},null,"Poore","Lettuce","Lettuce",{"$f":"AH61","v":0.20834252032794034},{"$f":"AH70","v":0.22196757858625366},{"$f":"AH64","v":4.1224921480270134E-2},{"$f":"S45*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":6.7313301393775856E-3},{"$f":"AH67","v":0.45772159377219696},{"$f":"U45*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.2030510349297936E-3},24,24,null,null,null,null,0.12714460874312902,null,9.9474186544305943E-3]
[null,"Coconuts",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":62853077.600000009},null,null,"Mangoes","Mangoes",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.63},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":59032923.904000007},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":6.7546051774230063E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":4.2554012617764944E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":0.4070820386591158},null,null,"Maize","Maize",0.63,0.47,0.4,{"$f":"S46*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":6.5313212471239154E-2},1.38,{"$f":"U46*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":0.22533058302577508},6,6,null,null,null,null,0.14985509442075245,null,0.50095327707449433]
[null,"Coffee",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":10506995.824000007},null,null,null,"Melons, other (inc.cantaloupes)",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.28000000000000003},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":40868682.455333322},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":4.6762348169670492E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.3093457487507738E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-0.37463020504039291},null,null,"Mangoes","Mangoes",0.28000000000000003,0.28000000000000003,0.28000000000000003,{"$f":"S47*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.891289449678442E-3},0.28000000000000003,{"$f":"U47*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.891289449678442E-3},1,1,null,null,null,null,7.5228456691964485E-2,null,0.10158089363990909]
[null,"Coir",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,"Ecoinvent","Millet","Millet",0.29297985999999998,{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":32731192.447999995},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":3.7451352118696088E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.0972491900546283E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-0.34564016080180587},null,null,null,"Melons, other (inc.cantaloupes)",0.88,0.51,0.3,{"$f":"S48*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.4028704450901148E-3},1.74,{"$f":"U48*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":8.1366485815226649E-3},4,5,null,null,null,null,8.4439693542115557E-2,null,0.28258563356455724]
[null,"Cotton",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":93992272.64533335},null,null,"Mushrooms","Mushrooms",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.55869960666666663},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":80864281.24800007},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":9.2525705430850438E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":5.1694075230771996E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":0.24783520880409429},null,"Ecoinvent","Millet","Millet",0.55869960666666663,0.64491198999999999,0.29297985999999998,{"$f":"S49*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.0972491900546283E-3},0.73820697000000002,{"$f":"U49*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.7646849169945722E-3},3,3,null,null,null,null,9.6472743853027648E-2,null,9.9585396995923114E-2]
[null,"Cow peas (dry)",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":8715027.4600000009},null,null,"Oats","Oats",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.27},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":24376046.619999997},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":2.7891312138343871E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":7.5306542773528461E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-0.39696484057466463},null,null,"Mushrooms","Mushrooms",0.27,0.27,0.06,{"$f":"S50*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":5.5515423258510263E-4},0.48,{"$f":"U50*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":4.441233860680821E-3},3,2,null,null,null,null,0.13296831840870102,null,7.4341816351657458E-2]
[null,"Cranberries",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":538272.35200000007},null,null,"Olives","Olives",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.44},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":22971719.128666665},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":2.6284466819419248E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.1565165400544469E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-1.7276036492046093E-2},null,null,"Oats","Oats",0.44,0.38,0.38,{"$f":"S51*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.0598698612570671E-3},0.67,{"$f":"U51*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.8687179132690394E-3},4,6,null,null,null,null,4.9282678382971637E-2,null,0.13027426]
[null,"Cucumbers and gherkins",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":157969464.48799995},null,null,"Onions, dry","Onions, dry",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.56000000000000005},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":125687727.22199994},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":1.4381313289053026E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":8.0535354418696959E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":0.25073958991921419},null,null,"Olives","Olives",0.56000000000000005,0.63,0.22,{"$f":"S52*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":5.7825827002722346E-4},0.85,{"$f":"U52*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.2341796796506359E-3},4,8,null,null,null,null,9.3902642570440023E-2,null,2.2157134547838016E-2]
[null,"Currants",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":657632.71900000004},null,null,"Oranges","Oranges",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.18},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":83283851.27866666},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":9.5294201242248095E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.7152956223604656E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-0.59797656038310976},null,null,"Onions, dry","Onions, dry",0.18,0.17,0.06,{"$f":"S53*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":8.6287879734318158E-4},0.37,{"$f":"U53*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":5.3210859169496192E-3},7,9,null,null,null,null,0.10610711163093788,null,0.11518839648104937]
[null,"Dates",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":9308331.5319999997},null,null,"Palm fruit","Palm fruit",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.35},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":414376983.66199994},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":4.7413421767825044E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.6594697618738764E-2},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-0.21828775630049127},null,null,"Oranges","Oranges",0.35,0.33,0.18,{"$f":"S54*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.7152956223604656E-3},0.59,{"$f":"U54*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":5.6223578732926376E-3},9,20,null,null,null,null,null,null,0.19925797332341016]
[null,"Eggplants (aubergines)",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":91644879.726666644},null,null,"Litchi","Peaches and nectarines",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.54},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":39140091.61999999},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":4.4784477545309074E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":2.4183617874466903E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":0.20607031885067079},null,null,"Litchi","Peaches and nectarines",0.54,0.43,0.38,{"$f":"S55*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.7018101467217448E-3},0.81,{"$f":"U55*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":3.6275426811700354E-3},3,3,null,null,null,null,null,null,0.27058638132489637]
[null,"Fibre crops nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,null,"Peanuts","Peanuts",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":2.086941195120855},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":69453777.495000005},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":7.9469694881151662E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.6584858001116035E-2},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":3.6611070974481654},null,null,"Palm fruit","Palm fruit",2.086941195120855,1.7953305159780983,0.57901925597198622,{"$f":"S56*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.7453284195092034E-2},4.2038648527498648,{"$f":"U56*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":0.19931961731836506},6,6,null,null,null,null,null,null,0.55999013717334178]
[null,"Figs",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":1321999.3946666669},null,null,"Pears","Pears",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.33},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":41888322.258000001},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":4.7929030054070978E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.5816579917843424E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-0.26295702736903454},null,null,"Pears","Pears",0.33,0.31,0.19,{"$f":"S57*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":9.1065157102734862E-4},0.63,{"$f":"U57*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":3.0195288934064717E-3},4,8,null,null,null,null,null,null,0.28628163167345322]
[null,"Flax fibre and tow",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,null,"Peas (dry)","Peas (dry)",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.6},{"$f":"C110","v":15663859.658000002},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":1.792274218305915E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.0753645309835489E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":0.34007813205630072},null,null,"Peas (dry)","Peas (dry)",0.6,0.38,0.15,{"$f":"S58*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.6884113274588722E-4},2.46,{"$f":"U58*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":4.4089945770325505E-3},6,8,null,null,null,null,null,null,0.12327081106596424]
[null,"Fonio",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":653464.53999999992},null,null,"Peppers","Peppers",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":1.08},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":802655.52399999986},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":9.1840633997975011E-5},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":9.9187884717813018E-5},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":1.4121406377013415},null,null,"Peppers","Peppers",1.08,1.1000000000000001,0.9,{"$f":"S59*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":8.2656570598177515E-5},1.25,{"$f":"U59*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.1480079249746877E-4},2,3]
[null,"Fruit, citrus nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,null,"Pineapples","Pineapples",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.72},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":30229960.00599999},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":3.4589417373578906E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":2.4904380508976812E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":0.60809375846756086},null,null,"Pineapples","Pineapples",0.72,0.5,0.4,{"$f":"S60*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.3835766949431563E-3},1.78,{"$f":"U60*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":6.1569162924970449E-3},5,6,null,null,null,null,"average","average","average","average","average","average"]
[null,"Fruit, fresh nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,null,"Pistachios","Pistachios",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":1.53},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":1175691.8800000001},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":1.3452382051440439E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":2.0582144538703871E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":2.4171992367435671},null,null,"Pistachios","Pistachios",1.53,1.53,0.88,{"$f":"S61*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.1838096205267586E-4},2.17,{"$f":"U61*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.9191669051625748E-4},1,2,null,null,null,null,{"$f":"AVERAGE(Poore[Soy])","v":8.6726124777550914E-2},{"$f":"AVERAGE(Poore[Bananas])","v":0.28399292808359222},{"$f":"AVERAGE(Poore[Cassava])","v":0.24052192718548573},{"$f":"AVERAGE(Poore[Sugar Cane])","v":0.52704746201820463},{"$f":"AVERAGE(Poore[Sweet Potatoes])","v":0.16830705861135445},{"$f":"AVERAGE(Poore[Lettuce])","v":0.20834252032794034}]
[null,"Fruit, pome nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,null,"Potatoes","Potatoes",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.2},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":459642631.71400005},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":5.2592761710204723E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.0518552342040945E-2},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-0.55330728931456641},null,null,"Potatoes","Potatoes",0.2,0.18,0.08,{"$f":"S62*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":4.2074209368163779E-3},0.36,{"$f":"U62*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.89333942156737E-2},16,25]
[null,"Fruit, stone nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,null,null,"Pumpkins, squash and gourds",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.33},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":30835956.924666651},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":3.5282805004349955E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.1643325651435486E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-0.26295702736903454},null,null,null,"Pumpkins, squash and gourds",0.33,0.25,0.15,{"$f":"S63*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":5.2924207506524934E-4},0.73,{"$f":"U63*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.5756447653175465E-3},4,8,null,null,null,null,"MIN","MIN","MIN","MIN","MIN","MIN"]
[null,"Fruit, tropical fresh nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,null,null,"Quinces",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.31},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":821468.16000000003},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":9.3993194300311076E-5},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":2.9137890233096434E-5},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-0.30762629843757794},null,null,null,"Quinces",0.31,0.31,0.3,{"$f":"S64*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.8197958290093323E-5},0.32,{"$f":"U64*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":3.0077822176099544E-5},2,2,null,null,null,null,{"$f":"MIN(Poore[Soy])","v":2.1466881167927478E-2},{"$f":"MIN(Poore[Bananas])","v":9.1363844850827228E-2},{"$f":"MIN(Poore[Cassava])","v":9.9474186544305943E-3},{"$f":"MIN(Poore[Sugar Cane])","v":0.30669473438987938},{"$f":"MIN(Poore[Sweet Potatoes])","v":2.4781139614960784E-2},{"$f":"MIN(Poore[Lettuce])","v":4.1224921480270134E-2}]
[null,"Garlic (green)",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":48891494.804666683},null,null,"Quinoa","Quinoa",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":1.1499999999999999},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":160196.25399999999},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":1.832981284192924E-5},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":2.1079284768218625E-5},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":1.5684830864412429},null,null,"Quinoa","Quinoa",1.1499999999999999,1.1499999999999999,1.1000000000000001,{"$f":"S65*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.0162794126122165E-5},1.2,{"$f":"U65*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.1995775410315088E-5},2,2]
[null,"Ginger",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":4798153.1859999998},null,null,"Rapeseeds","Rapeseeds",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":2.09},{"$f":"C96+C127","v":2916226.6539999992},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":3.3367752015265928E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":6.9738601711905783E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":3.6679388266627804},null,null,"Rapeseeds","Rapeseeds",2.09,2.09,2.09,{"$f":"S66*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":6.9738601711905783E-4},2.09,{"$f":"U66*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":6.9738601711905783E-4},1,1,null,null,null,null,"MAX","MAX","MAX","MAX","MAX","MAX"]
[null,"Gooseberries",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":176434.59600000002},null,null,"Raspberries","Raspberries",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.84},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":892049.83066666673},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":1.020692184337511E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":8.5738143484350918E-5},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":0.87610938487882106},null,null,"Raspberries","Raspberries",0.84,0.84,0.84,{"$f":"S67*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":8.5738143484350918E-5},0.84,{"$f":"U67*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":8.5738143484350918E-5},2,1,null,null,null,null,{"$f":"MAX(Poore[Soy])","v":0.45073838470237215},{"$f":"MAX(Poore[Bananas])","v":0.66963549247787779},{"$f":"MAX(Poore[Cassava])","v":1.2130543919231727},{"$f":"MAX(Poore[Sugar Cane])","v":0.82650158850783506},{"$f":"MAX(Poore[Sweet Potatoes])","v":0.4156513749219346},{"$f":"MAX(Poore[Lettuce])","v":0.45772159377219696}]
[null,"Grain, mixed",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,null,"Rye","Rye",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.41},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":13444180.848000001},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":1.5382963871108345E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":6.3070151871544213E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-8.4279943094861198E-2},null,null,"Rye","Rye",0.41,0.38,0.36,{"$f":"S68*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":5.5378669935990041E-4},0.49,{"$f":"U68*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":7.5376522968430889E-4},2,3]
[null,"Grapefruit (inc. pomelos)",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":14291646.426000005},null,null,"Sesame seed","Sesame seed",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.88},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":6890989.0280000009},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":7.8847373783801403E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":6.9385688929745237E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":0.96544792701590776},null,null,"Sesame seed","Sesame seed",0.88,0.88,0.88,{"$f":"S69*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":6.9385688929745237E-4},0.88,{"$f":"U69*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":6.9385688929745237E-4},1,1,null,null,null,null,"Median","Median","Median","Median","Median","Median"]
[null,"Grapes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":91004830.715999961},null,"Ecoinvent","Sorghum","Sorghum",1.3066666666666666,{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":62064503.149999999},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":7.1014814545340603E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":9.2792691005911723E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":1.9183923764781659},null,"Ecoinvent","Sorghum","Sorghum",0.23963709666666666,0.21988156,0.21365023999999999,{"$f":"S70*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.517233217116751E-3},0.28537949000000001,{"$f":"U70*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.0266171557393885E-3},3,3,null,null,null,null,{"$f":"MEDIAN(Poore[Soy])","v":6.1513339754117373E-2},{"$f":"MEDIAN(Poore[Bananas])","v":0.27344514525690145},{"$f":"MEDIAN(Poore[Cassava])","v":0.1192296037735068},{"$f":"MEDIAN(Poore[Sugar Cane])","v":0.47806258143353231},{"$f":"MEDIAN(Poore[Sweet Potatoes])","v":0.18884118133685032},{"$f":"MEDIAN(Poore[Lettuce])","v":0.22196757858625366}]
[null,"Hazelnuts, with shell",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":1054071.8499999999},null,"Poore","Soybeans","Soybeans",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":8.6726124777550914E-2},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":370872780.208},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":4.2435628047698286E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":3.6802775730784207E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-0.8063003611793631},null,"Poore","Soybeans","Soybeans",{"$f":"AC61","v":8.6726124777550914E-2},{"$f":"AC70","v":6.1513339754117373E-2},{"$f":"AC64","v":2.1466881167927478E-2},{"$f":"S71*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":9.1096058458630942E-4},{"$f":"AC67","v":0.45073838470237215},{"$f":"U71*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.9127366440050204E-2},{"$f":"COUNT(Poore[Soy])","v":47},{"$f":"CLUNE_POORE_Min_Max[[#This Row],[LCA studies (No)]]","v":47}]
[null,"Hemp tow waste",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,null,"Spinach","Spinach",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.54},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":57681405.437999994},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":6.599963106115948E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":3.5639800773026122E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":0.20607031885067079},null,null,"Spinach","Spinach",0.54,0.54,0.18,{"$f":"S72*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.1879933591008706E-3},0.91,{"$f":"U72*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":6.0059664265655127E-3},2,2]
[null,"Hempseed",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":38558.867999999995},null,null,"Strawberries","Strawberries",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.65},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":11997008.047999997},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":1.3727094528874488E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":8.9226114437684174E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":0.4517513097276592},null,null,"Strawberries","Strawberries",0.65,0.57999999999999996,0.2,{"$f":"S73*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.7454189057748979E-4},1.5,{"$f":"U73*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.0590641793311734E-3},15,21]
[null,"Hops",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,"Poore","Sugar cane","Sugar cane",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.52704746201820463},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":2000003252.2840002},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":0.22884233795888581},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":0.12061077342354301},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":0.17714129734394965},null,"Poore","Sugar cane","Sugar cane",{"$f":"AF61","v":0.52704746201820463},{"$f":"AF70","v":0.47806258143353231},{"$f":"AF64","v":0.30669473438987938},{"$f":"S74*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":7.0184740057459491E-2},{"$f":"AF67","v":0.82650158850783506},{"$f":"U74*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":0.18913855584086597},{"$f":"COUNT(Poore[Sugar Cane])","v":13},{"$f":"CLUNE_POORE_Min_Max[[#This Row],[LCA studies (No)]]","v":13}]
[null,"Jojoba seed",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,null,"Sunflower seeds","Sunflower seeds",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":1.41},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":55665043.267999992},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":6.3692489647125773E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":8.9806410402447339E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":2.1491836103323063},null,null,"Sunflower seeds","Sunflower seeds",1.41,1.41,1.41,{"$f":"S75*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":8.9806410402447339E-3},1.41,{"$f":"U75*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":8.9806410402447339E-3},1,1]
[null,"Jute",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0},null,"Poore","Sweet potatoes","Sweet potatoes",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.16830705861135445},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":141002971.93116674},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":1.6133698642254696E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":2.7154153629998907E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-0.62409231880700955},null,"Poore","Sweet potatoes","Sweet potatoes",{"$f":"AG61","v":0.16830705861135445},{"$f":"AG70","v":0.18884118133685032},{"$f":"AG64","v":2.4781139614960784E-2},{"$f":"S76*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":3.9981143855941683E-4},{"$f":"AG67","v":0.4156513749219346},{"$f":"U76*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":6.7059940232293141E-3},{"$f":"COUNT(Poore[Sweet Potatoes])","v":8},{"$f":"CLUNE_POORE_Min_Max[[#This Row],[LCA studies (No)]]","v":8}]
[null,"Kapok fruit",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":288444.39599999995},null,null,"Mandarins","Tangerines, mandarins, clementines, satsumas",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.51},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":59327883.292000011},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":6.7883547205178779E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":3.4620609074641176E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":0.13906641224785568},null,null,"Mandarins","Tangerines, mandarins, clementines, satsumas",0.51,0.51,0.51,{"$f":"S77*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":3.4620609074641176E-3},0.51,{"$f":"U77*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":3.4620609074641176E-3},1,1]
[null,"Karite nuts (sheanuts)",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":787110.06199999992},null,null,"Tomatoes","Tomatoes",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.46},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":246546069.66133323},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":2.821004362440015E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.297662006722407E-2},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":2.7393234576497304E-2},null,null,"Tomatoes","Tomatoes",0.46,0.45,0.08,{"$f":"S78*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.2568034899520121E-3},1,{"$f":"U78*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.821004362440015E-2},19,56]
[null,"Kiwi fruit",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":6492670.2713333331},null,null,"Walnuts","Walnuts, with shell",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":1.62},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":4257186.6060000006},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":4.8711147590971737E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":7.891205909737422E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":2.6182109565520122},null,null,"Walnuts","Walnuts, with shell",1.62,1.51,0.5,{"$f":"S79*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.4355573795485869E-4},2.94,{"$f":"U79*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.4321077391745692E-3},3,4]
[null,"Kola nuts",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":309346.37},null,null,"Watermelons","Watermelons",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.32},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":162718235.70500001},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":1.8618380467508175E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":5.957881749602616E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-0.28529166290330626},null,null,"Watermelons","Watermelons",0.32,0.32,0.25,{"$f":"S80*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":4.6545951168770437E-3},0.38,{"$f":"U80*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":7.0749845776531062E-3},2,2]
[null,"Leeks and other alliaceous vegetables",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":2310458.875},null,null,"Wheat","Wheat",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.51},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":893921143.29200029},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":0.10228333586368241},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":5.2164501290478026E-2},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":0.13906641224785568},null,null,"Wheat","Wheat",0.51,0.52,0.18,{"$f":"S81*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.8411000455462831E-2},1.1000000000000001,{"$f":"U81*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":0.11251166945005066},20,51]
[null,"Lemons",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":22324708.168999992},null,"Using Onions, dry as a proxy","Onions (fresh)","Onions and shallots, green",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.18},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":6293355.4600000018},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":7.2009191756464879E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.2961654516163677E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":-0.59797656038310976},null,"Using Onions, dry as a proxy","Onions (fresh)","Onions and shallots, green",{"$f":"Q$53","v":0.18},{"$f":"R$53","v":0.17},0.06,{"$f":"S82*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":4.3205515053878925E-5},{"$f":"U$53","v":0.37},{"$f":"U82*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.6643400949892006E-4},{"$f":"W$53","v":7},{"$f":"X$53","v":9}]
[null,"Lentils",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":6534595.8699999982},null,"Using Peppers as a proxy","Sweet peppers","Peppers",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":1.08},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":802655.52399999986},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$I$86","v":9.1840633997975011E-5},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":9.9187884717813018E-5},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$L$4)/$L$4","v":1.4121406377013415},null,"Using Peppers as a proxy","Sweet peppers","Peppers",{"$f":"Q$59","v":1.08},{"$f":"R$59","v":1.1000000000000001},{"$f":"S$59","v":0.9},{"$f":"S83*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":8.2656570598177515E-5},{"$f":"U$59","v":1.25},{"$f":"U83*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.1480079249746877E-4},{"$f":"W$59","v":2},{"$f":"X$59","v":3}]
[null,"Lettuce",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":42064669.622000001}]
[null,"Linseed",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":3490600.7706666673}]
[null,"Lupins",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":1321364.9293333332},null,null,null,null,"sum",{"$f":"SUM(CLUNE_POORE[Production (all Countries) (t)])","v":8739655739.0674973}]
[null,"Maize",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":1427037480.5280004},"`Covering both Green corn (maize) and Maize (corn)"]
[null,"Mangoes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":59032923.904000007}]
[null,"Manila fibre (abaca)",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0}]
[null,"Mate",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0}]
[null,"Melons, other (inc.cantaloupes)",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":40868682.455333322}]
[null,"Melonseed",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":996554.21799999999}]
[null,"Millet",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":32731192.447999995}]
[null,"Mushrooms",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":80864281.24800007}]
[null,"Mustard seed",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":792389.58}]
[null,"Nutmeg, mace, cardamoms, raw",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":137498.17800000004}]
[null,"Nuts nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0}]
[null,"Oats",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":24376046.619999997}]
[null,"Oilseeds nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0}]
[null,"Okra",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":9942100.8330000006}]
[null,"Olives",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":22971719.128666665}]
[null,"Onions, dry",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":125687727.22199994}]
[null,"Onions and shallots, green",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":6293355.4600000018}]
[null,"Oranges",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":83283851.27866666}]
[null,"Palm fruit",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":414376983.66199994}]
[null,"Papayas",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":14578638.658000002}]
[null,"Peaches and nectarines",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":39140091.61999999}]
[null,"Peanuts",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":69453777.495000005}]
[null,"Pears",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":41888322.258000001}]
[null,"Peas (dry)",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":15663859.658000002}]
[null,"Peppermint",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0}]
[null,"Peppers",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":802655.52399999986}]
[null,"Persimmons",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":7995798.9939999962}]
[null,"Pigeon peas",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0}]
[null,"Pineapples",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":30229960.00599999}]
[null,"Pistachios",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":1175691.8800000001}]
[null,"Plantains and others",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0}]
[null,"Plums and sloes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":18917266.356000006}]
[null,"Poppy seed",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":77460.051999999996}]
[null,"Potatoes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":459642631.71400005}]
[null,"Pulses nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0}]
[null,"Pumpkins, squash and gourds",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":30835956.924666651}]
[null,"Pyrethrum, dried",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0}]
[null,"Quinces",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":821468.16000000003}]
[null,"Quinoa",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":160196.25399999999}]
[null,"Ramie",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0}]
[null,"Rapeseeds",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":2778728.4759999993}]
[null,"Raspberries",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":892049.83066666673}]
[null,"Roots and tubers nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0}]
[null,"Rubber, natural",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0}]
[null,"Rye",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":13444180.848000001}]
[null,"Safflower seed",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":681693.73400000017}]
[null,"Sesame seed",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":6890989.0280000009}]
[null,"Sisal",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0}]
[null,"Sorghum",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":62064503.149999999}]
[null,"Soybeans",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":370872780.208}]
[null,"Spices nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0}]
[null,"Spinach",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":57681405.437999994}]
[null,"Strawberries",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":11997008.047999997}]
[null,"String beans",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":1859589.9340000001}]
[null,"Sugar beet",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":288121281.44400001}]
[null,"Sugar cane",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":2000003252.2840002}]
[null,"Sugar crops nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0}]
[null,"Sunflower seeds",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":55665043.267999992}]
[null,"Sweet potatoes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":141002971.93116674}]
[null,"Tallowtree seed",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0}]
[null,"Tangerines, mandarins, clementines, satsumas",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":59327883.292000011}]
[null,"Taro (cocoyam)",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0}]
[null,"Tea",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0}]
[null,"Tobacco, unmanufactured",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0}]
[null,"Tomatoes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":246546069.66133323}]
[null,"Triticale",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":14551636.816000002}]
[null,"Tung nuts",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":811719.25199999998}]
[null,"Vanilla",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0}]
[null,"Vegetables, fresh nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0}]
[null,"Vegetables, leguminous nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0}]
[null,"Vetches",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":871971.38800000004}]
[null,"Walnuts, with shell",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":4257186.6060000006}]
[null,"Watermelons",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":162718235.70500001}]
[null,"Wheat",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":893921143.29200029}]
[null,"Yams",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":79431410.454000011}]
[null,"Yautia (cocoyam)",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Crop name for Clune&Poore list:],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0}]

{"sheet":"Flour","index":60,"n_rows":170,"n_cols":23,"rows_kept":170,"cut":false,"hidden":true,"merged":[[4,12,6,13]]}
["Flour"]
[null,"For the purposes of this tool \"Flour\" is considered only \"Wheat Flour\".",null,null,null,null,null,null,null,null,null,null,"Absolute difference from WDLDB global average"]
[]
[null,null,"tCO2e/t","absolute difference",null,null,null,null,null,1,6]
[null,"WFLDB 3.0 Wheat (grains, at farm - global)",0.68331304000000004,{"$f":"C6-C5","v":0.28904895999999991},null,null,null,null,null,null,35,null,"Developing countries have\n- more food losses\n- higher emissions per kWh"]
[null,"WFLDB 3.0 (wheat) Flour (global)",0.97236199999999995]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sense check"]
[null,null,null,"Wheat","Wheat (from CH4)","Wheat (from N2O)",null,null,null,"Column for sense check"]
[null,"Country","Region","Wheat Emission factor (tCO2e/t)","Wheat (from CH4) (tCO2e/t)","Wheat (from N2O) (tCO2e/t)","Flour (tCO2e/t)","Flour (from CH4) (tCO2e/t)","Flour (from N2O) (tCO2e/t)","Production","Column4",null,null,null,null,"Country","Old tool","New","% difference","Production","Column4"]
[null,"Angola",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},3.2884294161390263E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Angola",7.1334342919522051E-2,{"$f":"VLOOKUP(P11,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},2.2242808433054203E-6,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,"Weighted average",null,null,"Antigua and Barbuda",6.3587697018646208E-2,{"$f":"VLOOKUP(P12,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Argentina",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},2.70070459564732E-2,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,{"$f":"SUM(Flour[Column4])","v":{"$error":"#N/A"}},null,null,"Argentina",0.11603250095284155,{"$f":"VLOOKUP(P13,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,"weighted average"]
[null,"Australia",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},2.3085165113712447E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Bahamas",6.3587697018646208E-2,{"$f":"VLOOKUP(P14,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,{"$f":"SUM(Flour_sense_check[Column4])","v":{"$error":"#N/A"}}]
[null,"Austria",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},5.2856363779145215E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,"MIN",null,null,"Bangladesh",0.27582703326777641,{"$f":"VLOOKUP(P15,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Bahamas",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},2.4244342298718213E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,{"$f":"MIN(Flour[Flour (tCO2e/t)])","v":{"$error":"#N/A"}},null,null,"Barbados",6.3587697018646208E-2,{"$f":"VLOOKUP(P16,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Bangladesh",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},3.3057548897184934E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Belize",6.3587697018646208E-2,{"$f":"VLOOKUP(P17,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Barbados",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},2.0366781407748571E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,"MAX",null,null,"Benin",4.2022209680542225E-2,{"$f":"VLOOKUP(P18,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Belgium",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},5.6302208500328091E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,{"$f":"MAX(Flour[Flour (tCO2e/t)])","v":{"$error":"#N/A"}},null,null,"Bhutan",0.1101040451219658,{"$f":"VLOOKUP(P19,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Belize",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},2.7062263768269919E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Bolivia (Plurinational State of)",0.10913598893614564,{"$f":"VLOOKUP(P20,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Benin",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},4.1424209192442976E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Botswana",4.2022209680542225E-2,{"$f":"VLOOKUP(P21,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Bhutan",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},3.2889699403009483E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Brazil",7.2349491365738289E-2,{"$f":"VLOOKUP(P22,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Bolivia (Plurinational State of)",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},0.17093813964292959,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,"1kg wheat ","0.9 flour",null,"Burkina Faso",4.2022209680542225E-2,{"$f":"VLOOKUP(P23,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Bosnia and Herzegovina",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.2359073801069954E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Burundi",0.10808730669612437,{"$f":"VLOOKUP(P24,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Botswana",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},9.0194843310683487E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,"energy requirement per tonne flour",null,null,"Cabo Verde",4.2022209680542225E-2,{"$f":"VLOOKUP(P25,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Brazil",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.6188618926222171E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,"90 kWh",null,null,"Cambodia",0.11062219091279017,{"$f":"VLOOKUP(P26,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Bulgaria",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.7175341797643544E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Cameroon",6.1787965181481982E-2,{"$f":"VLOOKUP(P27,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Burkina Faso",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},4.3361682175353236E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Central African Republic",4.2022209680542225E-2,{"$f":"VLOOKUP(P28,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Burundi",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},3.5961471109278125E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Chad",0.15292451390628162,{"$f":"VLOOKUP(P29,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Cabo Verde",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},8.9754451648374554E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Chile",0.26379282527226405,{"$f":"VLOOKUP(P30,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Cambodia",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},2.4056445576555027E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"China",0.19299167399251152,{"$f":"VLOOKUP(P31,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Cameroon",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},0.24792891107859097,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Colombia",0.14816898767215586,{"$f":"VLOOKUP(P32,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Canada",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"North America"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.0917688632231647E-2,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Comoros",4.2022209680542225E-2,{"$f":"VLOOKUP(P33,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Central African Republic",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},4.418505992061516E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Congo",4.2022209680542225E-2,{"$f":"VLOOKUP(P34,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Chad",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},4.6015507524998405E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Costa Rica",6.3587697018646208E-2,{"$f":"VLOOKUP(P35,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Chile",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},2.1031375795663027E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Cote d'Ivoire",4.2022209680542225E-2,{"$f":"VLOOKUP(P36,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"China",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},4.1847106367717676E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Democratic Republic of the Congo",4.2022209680542225E-2,{"$f":"VLOOKUP(P37,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Colombia",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},7.3445836358205802E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Dominica",6.3587697018646208E-2,{"$f":"VLOOKUP(P38,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Comoros",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.8350237233942E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Dominican Republic",6.3587697018646208E-2,{"$f":"VLOOKUP(P39,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Congo",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.8869154779585658E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Ecuador",0.10381541518657889,{"$f":"VLOOKUP(P40,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Costa Rica",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},3.7944689337632421E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"El Salvador",6.3587697018646208E-2,{"$f":"VLOOKUP(P41,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Cote d'Ivoire",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.3124555509063834E-2,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Equatorial Guinea",4.2022209680542225E-2,{"$f":"VLOOKUP(P42,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Croatia",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.4240131368354527E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Eritrea",0.22728698068383921,{"$f":"VLOOKUP(P43,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Cyprus",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},5.561068835571049E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Eswatini",8.6976051413734948E-2,{"$f":"VLOOKUP(P44,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Czech Republic",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},7.7476246002007652E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Ethiopia",0.1358522236542431,{"$f":"VLOOKUP(P45,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Democratic Republic of the Congo",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},9.383097645386105E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Fiji",0.11062219091279017,{"$f":"VLOOKUP(P46,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Denmark",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},7.0897135782954871E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Gabon",4.2022209680542225E-2,{"$f":"VLOOKUP(P47,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Dominica",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},2.7040940967038718E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Gambia",4.2022209680542225E-2,{"$f":"VLOOKUP(P48,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Dominican Republic",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},2.2491608994193541E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Ghana",4.2022209680542225E-2,{"$f":"VLOOKUP(P49,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Ecuador",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},5.7890775528417835E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Grenada",6.3587697018646208E-2,{"$f":"VLOOKUP(P50,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Egypt",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},6.8613459466033699E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Guatemala",6.3587697018646208E-2,{"$f":"VLOOKUP(P51,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"El Salvador",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.246681509507987E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Guinea",4.2022209680542225E-2,{"$f":"VLOOKUP(P52,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Equatorial Guinea",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},6.4417155144052014E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Guinea-Bissau",4.2022209680542225E-2,{"$f":"VLOOKUP(P53,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Eritrea",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.1918956387008371E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Guyana",6.3587697018646208E-2,{"$f":"VLOOKUP(P54,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Estonia",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.1165028821453865E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Haiti",6.3587697018646208E-2,{"$f":"VLOOKUP(P55,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Eswatini",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},3.7549049568104176E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Honduras",8.3343643252705296E-2,{"$f":"VLOOKUP(P56,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Ethiopia",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},8.6194597785156646E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"India",0.19528565287608352,{"$f":"VLOOKUP(P57,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Fiji",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.8996959246248845E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Indonesia",0.11062219091279017,{"$f":"VLOOKUP(P58,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Finland",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},0.13411389136038512,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Jamaica",6.3587697018646208E-2,{"$f":"VLOOKUP(P59,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"France",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},4.6335433412407152E-2,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Kenya",0.11056457515615335,{"$f":"VLOOKUP(P60,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Gabon",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},3.6243611966068728E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Kiribati",0.11062219091279017,{"$f":"VLOOKUP(P61,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Gambia",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},5.3823042611511971E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Lao People's Democratic Republic",0.11062219091279017,{"$f":"VLOOKUP(P62,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Germany",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},3.1644561337126095E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Lesotho",0.15941591380509532,{"$f":"VLOOKUP(P63,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Ghana",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},3.1427733019334395E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Liberia",4.2022209680542225E-2,{"$f":"VLOOKUP(P64,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Greece",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},9.1817165195728619E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Madagascar",0.13941139681644224,{"$f":"VLOOKUP(P65,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Grenada",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.3421913316862446E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Malawi",0.1123684459461345,{"$f":"VLOOKUP(P66,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Guatemala",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},3.733593316845098E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Malaysia",0.11062219091279017,{"$f":"VLOOKUP(P67,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Guinea",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},6.3385466721331671E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Maldives",0.1101040451219658,{"$f":"VLOOKUP(P68,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Guinea-Bissau",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},2.4852599399868142E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Mali",0.16719843356130207,{"$f":"VLOOKUP(P69,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Guyana",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.537039290239732E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Marshall Islands",0.11062219091279017,{"$f":"VLOOKUP(P70,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Haiti",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},3.9193043442555912E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Mauritania",0.21015429886757889,{"$f":"VLOOKUP(P71,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Honduras",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},2.0854518362688822E-2,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Mauritius",4.2022209680542225E-2,{"$f":"VLOOKUP(P72,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Hungary",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.955932122209863E-6,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Mexico",0.16819659984519361,{"$f":"VLOOKUP(P73,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Iceland",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},2.1812182878390607E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Micronesia (Federated States of)",0.11062219091279017,{"$f":"VLOOKUP(P74,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"India",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},4.8538750847242725E-6,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Mongolia",8.7697213893590256,{"$f":"VLOOKUP(P75,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Indonesia",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},3.2308356897296821E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Mozambique",5.4078845901587944E-2,{"$f":"VLOOKUP(P76,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Ireland",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},6.1094632844048067E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Myanmar",0.17692870724899246,{"$f":"VLOOKUP(P77,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Italy",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},2.2452321976081206E-2,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Namibia",0.26079037977001501,{"$f":"VLOOKUP(P78,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Jamaica",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.0680693660907303E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Nepal",0.16665087164595821,{"$f":"VLOOKUP(P79,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Japan",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},7.3565178990865103E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Nicaragua",6.3587697018646208E-2,{"$f":"VLOOKUP(P80,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Kazakhstan",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},4.4224033466602917E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Niger",9.239195891699209E-2,{"$f":"VLOOKUP(P81,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Kenya",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},2.7033222154449156E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Nigeria",4.8683573975687622E-2,{"$f":"VLOOKUP(P82,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Kiribati",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},5.2459214049790006E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Panama",6.3587697018646208E-2,{"$f":"VLOOKUP(P83,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Kyrgyzstan",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.0507725929092412E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Papua New Guinea",0.11062219091279017,{"$f":"VLOOKUP(P84,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Lao People's Democratic Republic",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},2.8031291249871215E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Paraguay",0.11138210963089551,{"$f":"VLOOKUP(P85,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Latvia",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.5352082048487271E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Peru",0.12935845305855961,{"$f":"VLOOKUP(P86,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Lebanon",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},2.1002861950271748E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Philippines",0.11062219091279017,{"$f":"VLOOKUP(P87,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Lesotho",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},2.9130786276174759E-2,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Rwanda",8.0717642021390507E-2,{"$f":"VLOOKUP(P88,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Liberia",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},2.3414872096752148E-2,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Saint Kitts and Nevis",6.3587697018646208E-2,{"$f":"VLOOKUP(P89,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Lithuania",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},5.9515329666639052E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Saint Lucia",6.3587697018646208E-2,{"$f":"VLOOKUP(P90,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Luxembourg",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.5653603646245888E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Samoa",0.11062219091279017,{"$f":"VLOOKUP(P91,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Madagascar",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},4.4868253760886002E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Sao Tome and Principe",4.2022209680542225E-2,{"$f":"VLOOKUP(P92,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Malawi",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},4.6577137640699748E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Senegal",4.2022209680542225E-2,{"$f":"VLOOKUP(P93,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Malaysia",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.2731698721459534E-2,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Seychelles",4.2022209680542225E-2,{"$f":"VLOOKUP(P94,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Maldives",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.1000773254891893E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Sierra Leone",4.2022209680542225E-2,{"$f":"VLOOKUP(P95,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Mali",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.0898178898919387E-6,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Solomon Islands",0.11062219091279017,{"$f":"VLOOKUP(P96,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Malta",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},5.7373690024845116E-6,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Somalia",0.24845441799717194,{"$f":"VLOOKUP(P97,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Marshall Islands",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},4.1903697174664342E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"South Africa",0.12791643522533702,{"$f":"VLOOKUP(P98,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Mauritania",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.5734195958235043E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"South Sudan",4.2022209680542225E-2,{"$f":"VLOOKUP(P99,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Mauritius",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},7.6454974229286823E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Sri Lanka",0.1101040451219658,{"$f":"VLOOKUP(P100,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Mexico",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.451283457760999E-6,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Sudan",0.11139916561727697,{"$f":"VLOOKUP(P101,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Micronesia (Federated States of)",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},2.4998253919607174E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Thailand",0.11062219091279017,{"$f":"VLOOKUP(P102,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Mongolia",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.5531252255198547E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Timor-Leste",0.11062219091279017,{"$f":"VLOOKUP(P103,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Morocco",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.4302620107085697E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Togo",4.2022209680542225E-2,{"$f":"VLOOKUP(P104,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Mozambique",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},8.1310263605844802E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Tonga",0.11062219091279017,{"$f":"VLOOKUP(P105,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Myanmar",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},4.4303146113629639E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Trinidad and Tobago",6.3587697018646208E-2,{"$f":"VLOOKUP(P106,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Namibia",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.1101379311071135E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Tuvalu",0.11062219091279017,{"$f":"VLOOKUP(P107,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Nepal",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},3.4575473084584606E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Uganda",0.10799586168363165,{"$f":"VLOOKUP(P108,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Netherlands",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},9.5267080590024722E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"United Republic of Tanzania",9.7985581963426452E-2,{"$f":"VLOOKUP(P109,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"New Zealand",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},2.8240357863923038E-2,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Uruguay",0.22630956679837427,{"$f":"VLOOKUP(P110,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Nicaragua",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},3.9832325673920206E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Vanuatu",0.11062219091279017,{"$f":"VLOOKUP(P111,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Niger",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},6.5297822072611406E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Venezuela (Bolivarian Republic of)",0.26562787728853382,{"$f":"VLOOKUP(P112,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Nigeria",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},3.2829428567255394E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Viet Nam",0.11062219091279017,{"$f":"VLOOKUP(P113,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Norway",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.8911967801036264E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Zambia",0.48926389336527182,{"$f":"VLOOKUP(P114,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Pakistan",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.9375105325976142E-2,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}},null,null,null,null,"Zimbabwe",0.13508544080052676,{"$f":"VLOOKUP(P115,Flour[],4,FALSE)","v":{"$error":"#N/A"}},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":{"$error":"#N/A"}},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Panama",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},5.239417097563879E-7,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Papua New Guinea",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},3.0691971211233497E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Paraguay",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},2.0667684830824071E-2,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Peru",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},5.7349328170361339E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Philippines",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},6.7598398140542037E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Poland",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},6.0118572170475577E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Portugal",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},9.0905002769321337E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Romania",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.669473449990103E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Rwanda",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.0895621852906191E-2,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Saint Kitts and Nevis",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},3.6078345507711303E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Saint Lucia",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},1.748256361333393E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Samoa",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},9.1095525577899517E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Sao Tome and Principe",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Senegal",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Seychelles",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Sierra Leone",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Slovakia",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Slovenia",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Solomon Islands",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Somalia",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"South Africa",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"South Sudan",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Spain",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Sri Lanka",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Sudan",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Sweden",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Switzerland",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Tajikistan",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Thailand",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Timor-Leste",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Togo",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Tonga",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Trinidad and Tobago",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Turkey",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Tuvalu",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Uganda",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Ukraine",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"United Kingdom",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"United Republic of Tanzania",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"United States of America",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"North America"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Uruguay",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Uzbekistan",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Vanuatu",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Venezuela (Bolivarian Republic of)",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Viet Nam",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Yemen",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Zambia",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
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[null,"Turkmenistan",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Georgia",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]
[null,"Moldova",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":{"$error":"#N/A"}},null,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":{"$error":"#N/A"}}]

{"sheet":"YieldCurveCheck","index":61,"n_rows":164,"n_cols":15,"rows_kept":164,"cut":false,"hidden":true,"merged":[[1,0,1,10]]}
[]
[]
[]
["kg N/ha","Yield (t/ha)","Yield : N ratio","Variation from ratio min/max","Scale variation","Standard N response","Adjustment scaling factor","Adjusted Yield prediction","User-defined data?","CHECK (>25% error?)",null,null,"MAX ratio","MIN ratio","Ratio variation scaling factor"]
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[{"$f":"IF(nitrogenMeasurement=NperHa,userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]],userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]]*userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])","v":{"$error":"#N/A"}},{"$f":"userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]]","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"},{"$f":"IF(((-8*10^-5)*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]]^2+(0.04*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]])+4.3)<=0,0,(-8*10^-5)*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]]^2+(0.04*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]])+4.3)","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},{"$f":"OR(defaultNorYield[[#This Row],[Virtual kg N per tonne production (N2O-N -> N)]]<>userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]],defaultNorYield[[#This Row],[Virtual kg N per ha]]<>userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]],defaultNorYield[[#This Row],[FAO Virtual yield t/ha]]<>userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])","v":{"$error":"#N/A"}},{"$error":"#N/A"}]
[{"$f":"IF(nitrogenMeasurement=NperHa,userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]],userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]]*userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])","v":{"$error":"#N/A"}},{"$f":"userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]]","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"},{"$f":"IF(((-8*10^-5)*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]]^2+(0.04*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]])+4.3)<=0,0,(-8*10^-5)*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]]^2+(0.04*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]])+4.3)","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},{"$f":"OR(defaultNorYield[[#This Row],[Virtual kg N per tonne production (N2O-N -> N)]]<>userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]],defaultNorYield[[#This Row],[Virtual kg N per ha]]<>userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]],defaultNorYield[[#This Row],[FAO Virtual yield t/ha]]<>userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])","v":{"$error":"#N/A"}},{"$error":"#N/A"}]
[{"$f":"IF(nitrogenMeasurement=NperHa,userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]],userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]]*userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])","v":{"$error":"#N/A"}},{"$f":"userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]]","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"},{"$f":"IF(((-8*10^-5)*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]]^2+(0.04*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]])+4.3)<=0,0,(-8*10^-5)*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]]^2+(0.04*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]])+4.3)","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},{"$f":"OR(defaultNorYield[[#This Row],[Virtual kg N per tonne production (N2O-N -> N)]]<>userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]],defaultNorYield[[#This Row],[Virtual kg N per ha]]<>userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]],defaultNorYield[[#This Row],[FAO Virtual yield t/ha]]<>userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])","v":{"$error":"#N/A"}},{"$error":"#N/A"}]
[{"$f":"IF(nitrogenMeasurement=NperHa,userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]],userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]]*userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])","v":{"$error":"#N/A"}},{"$f":"userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]]","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"},{"$f":"IF(((-8*10^-5)*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]]^2+(0.04*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]])+4.3)<=0,0,(-8*10^-5)*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]]^2+(0.04*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]])+4.3)","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},{"$f":"OR(defaultNorYield[[#This Row],[Virtual kg N per tonne production (N2O-N -> N)]]<>userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]],defaultNorYield[[#This Row],[Virtual kg N per ha]]<>userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]],defaultNorYield[[#This Row],[FAO Virtual yield t/ha]]<>userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])","v":{"$error":"#N/A"}},{"$error":"#N/A"}]
[{"$f":"IF(nitrogenMeasurement=NperHa,userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]],userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]]*userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])","v":{"$error":"#N/A"}},{"$f":"userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]]","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"},{"$f":"IF(((-8*10^-5)*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]]^2+(0.04*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]])+4.3)<=0,0,(-8*10^-5)*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]]^2+(0.04*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]])+4.3)","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},{"$f":"OR(defaultNorYield[[#This Row],[Virtual kg N per tonne production (N2O-N -> N)]]<>userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]],defaultNorYield[[#This Row],[Virtual kg N per ha]]<>userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]],defaultNorYield[[#This Row],[FAO Virtual yield t/ha]]<>userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])","v":{"$error":"#N/A"}},{"$error":"#N/A"}]
[{"$f":"IF(nitrogenMeasurement=NperHa,userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]],userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]]*userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])","v":{"$error":"#N/A"}},{"$f":"userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]]","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"},{"$f":"IF(((-8*10^-5)*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]]^2+(0.04*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]])+4.3)<=0,0,(-8*10^-5)*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]]^2+(0.04*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]])+4.3)","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},{"$f":"OR(defaultNorYield[[#This Row],[Virtual kg N per tonne production (N2O-N -> N)]]<>userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]],defaultNorYield[[#This Row],[Virtual kg N per ha]]<>userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]],defaultNorYield[[#This Row],[FAO Virtual yield t/ha]]<>userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])","v":{"$error":"#N/A"}},{"$error":"#N/A"}]
[{"$f":"IF(nitrogenMeasurement=NperHa,userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]],userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]]*userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])","v":{"$error":"#N/A"}},{"$f":"userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]]","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"},{"$f":"IF(((-8*10^-5)*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]]^2+(0.04*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]])+4.3)<=0,0,(-8*10^-5)*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]]^2+(0.04*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]])+4.3)","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},{"$f":"OR(defaultNorYield[[#This Row],[Virtual kg N per tonne production (N2O-N -> N)]]<>userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]],defaultNorYield[[#This Row],[Virtual kg N per ha]]<>userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]],defaultNorYield[[#This Row],[FAO Virtual yield t/ha]]<>userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])","v":{"$error":"#N/A"}},{"$error":"#N/A"}]
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[{"$f":"IF(nitrogenMeasurement=NperHa,userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]],userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]]*userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])","v":{"$error":"#N/A"}},{"$f":"userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]]","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"},{"$f":"IF(((-8*10^-5)*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]]^2+(0.04*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]])+4.3)<=0,0,(-8*10^-5)*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]]^2+(0.04*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]])+4.3)","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},{"$f":"OR(defaultNorYield[[#This Row],[Virtual kg N per tonne production (N2O-N -> N)]]<>userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]],defaultNorYield[[#This Row],[Virtual kg N per ha]]<>userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]],defaultNorYield[[#This Row],[FAO Virtual yield t/ha]]<>userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])","v":{"$error":"#N/A"}},{"$error":"#N/A"}]
[{"$f":"IF(nitrogenMeasurement=NperHa,userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]],userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]]*userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])","v":{"$error":"#N/A"}},{"$f":"userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]]","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"},{"$f":"IF(((-8*10^-5)*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]]^2+(0.04*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]])+4.3)<=0,0,(-8*10^-5)*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]]^2+(0.04*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]])+4.3)","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},{"$f":"OR(defaultNorYield[[#This Row],[Virtual kg N per tonne production (N2O-N -> N)]]<>userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]],defaultNorYield[[#This Row],[Virtual kg N per ha]]<>userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]],defaultNorYield[[#This Row],[FAO Virtual yield t/ha]]<>userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])","v":{"$error":"#N/A"}},{"$error":"#N/A"}]
[{"$f":"IF(nitrogenMeasurement=NperHa,userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]],userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]]*userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])","v":{"$error":"#N/A"}},{"$f":"userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]]","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"},{"$f":"IF(((-8*10^-5)*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]]^2+(0.04*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]])+4.3)<=0,0,(-8*10^-5)*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]]^2+(0.04*userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]])+4.3)","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},{"$f":"OR(defaultNorYield[[#This Row],[Virtual kg N per tonne production (N2O-N -> N)]]<>userDefinedNorYield[[#This Row],[Default or user defined kg N/t crop]],defaultNorYield[[#This Row],[Virtual kg N per ha]]<>userDefinedNorYield[[#This Row],[Default or user defined kg N/ha]],defaultNorYield[[#This Row],[FAO Virtual yield t/ha]]<>userDefinedNorYield[[#This Row],[Default or user defined yield (t/ha)]])","v":{"$error":"#N/A"}},{"$error":"#N/A"}]

{"sheet":"SPAM Yield >>","index":62,"n_rows":0,"n_cols":0,"rows_kept":0,"cut":false,"hidden":true,"merged":[]}

{"sheet":"Y-output","index":63,"n_rows":22,"n_cols":10,"rows_kept":22,"cut":false,"hidden":true,"merged":[[9,1,9,8]]}
["SPAM yield database currently not being used in the tool. Could be used for checks along with the Yield curve in the future."]
[null,"Yield outputs"]
[]
[null,"Production country",{"$f":"countryOfProduction","v":{"$error":"#N/A"}}]
[null,"Production region",{"$f":"impliedUNsubregionProduction","v":{"$error":"#N/A"}}]
[null,"Commodity",{"$f":"commodity","v":0}]
[null,"Yield (kg/ha)",{"$f":"AVERAGEIF($J$13:$J$22,\"<>0\")","v":{"$error":"#DIV/0!"}}]
[null,"Yield (t/ha)",{"$f":"C7/1000","v":{"$error":"#DIV/0!"}}]
[]
[null,"Table below can take up to 10 MapSPAM commodities associated with 1 tool commodity (see Y-MAP for reconciliation between nomenclatures). In the unlikely event that more than 10 values are needed, add formulas for yield in rows below so that when FILTER  function pulls through more than 10 values the formulas can fetch all values, and update average formula range in cell C8 (Yield) to include all data points"]
[]
[null,"IFC Commodity","ID","SPAM name","Crop name","Lookup Name","National Yield (kg/ha)","Regional Yield (kg/ha)","Global Yield (kg/ha)","Yield value (kg/ha)"]
[null,{"$f":"_xlfn._xlws.FILTER(SPAMtable[],SPAMtable[IFC Commodity]=$C$6)","v":{"$error":"#VALUE!"}},null,null,null,{"$f":"D13&\"_a\"","v":"_a"},{"$f":"IF(ISNA(INDEX(YieldCountry[#All],MATCH('Y-output'!$C$4,YieldCountry[[#All],[MapSPAM country]],0),MATCH('Y-output'!F13,YieldCountry[#Headers],0))),0,\nIF(INDEX(YieldCountry[#All],MATCH('Y-output'!$C$4,YieldCountry[[#All],[MapSPAM country]],0),MATCH('Y-output'!F13,YieldCountry[#Headers],0))=\"\",0,\nINDEX(YieldCountry[#All],MATCH('Y-output'!$C$4,YieldCountry[[#All],[MapSPAM country]],0),MATCH('Y-output'!F13,YieldCountry[#Headers],0))))","v":0},{"$f":"IF(ISNA(INDEX(YieldRegion[#All],MATCH('Y-output'!$C$5,YieldRegion[[#All],[Region]],0),MATCH('Y-output'!F13,YieldRegion[#Headers],0))),0,\nIF(INDEX(YieldRegion[#All],MATCH('Y-output'!$C$5,YieldRegion[[#All],[Region]],0),MATCH('Y-output'!F13,YieldRegion[#Headers],0))=\"\",0,\nINDEX(YieldRegion[#All],MATCH('Y-output'!$C$5,YieldRegion[[#All],[Region]],0),MATCH('Y-output'!F13,YieldRegion[#Headers],0))))","v":0},{"$f":"IF(ISNA(INDEX(YieldGlobal[#All],2,MATCH('Y-output'!F13,YieldGlobal[#Headers],0))),0,\nIF(INDEX(YieldGlobal[#All],2,MATCH('Y-output'!F13,YieldGlobal[#Headers],0))=\"\",0,\nINDEX(YieldGlobal[#All],2,MATCH('Y-output'!F13,YieldGlobal[#Headers],0))))","v":0},{"$f":"IF(G13<>0,G13,IF(H13<>0,H13,I13))","v":0}]
[null,null,null,null,null,{"$f":"D14&\"_a\"","v":"_a"},{"$f":"IF(ISNA(INDEX(YieldCountry[#All],MATCH('Y-output'!$C$4,YieldCountry[[#All],[MapSPAM country]],0),MATCH('Y-output'!F14,YieldCountry[#Headers],0))),0,\nIF(INDEX(YieldCountry[#All],MATCH('Y-output'!$C$4,YieldCountry[[#All],[MapSPAM country]],0),MATCH('Y-output'!F14,YieldCountry[#Headers],0))=\"\",0,\nINDEX(YieldCountry[#All],MATCH('Y-output'!$C$4,YieldCountry[[#All],[MapSPAM country]],0),MATCH('Y-output'!F14,YieldCountry[#Headers],0))))","v":0},{"$f":"IF(ISNA(INDEX(YieldRegion[#All],MATCH('Y-output'!$C$5,YieldRegion[[#All],[Region]],0),MATCH('Y-output'!F14,YieldRegion[#Headers],0))),0,\nIF(INDEX(YieldRegion[#All],MATCH('Y-output'!$C$5,YieldRegion[[#All],[Region]],0),MATCH('Y-output'!F14,YieldRegion[#Headers],0))=\"\",0,\nINDEX(YieldRegion[#All],MATCH('Y-output'!$C$5,YieldRegion[[#All],[Region]],0),MATCH('Y-output'!F14,YieldRegion[#Headers],0))))","v":0},{"$f":"IF(ISNA(INDEX(YieldGlobal[#All],2,MATCH('Y-output'!F14,YieldGlobal[#Headers],0))),0,\nIF(INDEX(YieldGlobal[#All],2,MATCH('Y-output'!F14,YieldGlobal[#Headers],0))=\"\",0,\nINDEX(YieldGlobal[#All],2,MATCH('Y-output'!F14,YieldGlobal[#Headers],0))))","v":0},{"$f":"IF(G14<>0,G14,IF(H14<>0,H14,I14))","v":0}]
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[null,null,null,null,null,"_a",{"$f":"IF(ISNA(INDEX(YieldCountry[#All],MATCH('Y-output'!$C$4,YieldCountry[[#All],[MapSPAM country]],0),MATCH('Y-output'!F20,YieldCountry[#Headers],0))),0,\nIF(INDEX(YieldCountry[#All],MATCH('Y-output'!$C$4,YieldCountry[[#All],[MapSPAM country]],0),MATCH('Y-output'!F20,YieldCountry[#Headers],0))=\"\",0,\nINDEX(YieldCountry[#All],MATCH('Y-output'!$C$4,YieldCountry[[#All],[MapSPAM country]],0),MATCH('Y-output'!F20,YieldCountry[#Headers],0))))","v":0},{"$f":"IF(ISNA(INDEX(YieldRegion[#All],MATCH('Y-output'!$C$5,YieldRegion[[#All],[Region]],0),MATCH('Y-output'!F20,YieldRegion[#Headers],0))),0,\nIF(INDEX(YieldRegion[#All],MATCH('Y-output'!$C$5,YieldRegion[[#All],[Region]],0),MATCH('Y-output'!F20,YieldRegion[#Headers],0))=\"\",0,\nINDEX(YieldRegion[#All],MATCH('Y-output'!$C$5,YieldRegion[[#All],[Region]],0),MATCH('Y-output'!F20,YieldRegion[#Headers],0))))","v":0},{"$f":"IF(ISNA(INDEX(YieldGlobal[#All],2,MATCH('Y-output'!F20,YieldGlobal[#Headers],0))),0,\nIF(INDEX(YieldGlobal[#All],2,MATCH('Y-output'!F20,YieldGlobal[#Headers],0))=\"\",0,\nINDEX(YieldGlobal[#All],2,MATCH('Y-output'!F20,YieldGlobal[#Headers],0))))","v":0},0]
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[null,null,null,null,null,"_a",{"$f":"IF(ISNA(INDEX(YieldCountry[#All],MATCH('Y-output'!$C$4,YieldCountry[[#All],[MapSPAM country]],0),MATCH('Y-output'!F22,YieldCountry[#Headers],0))),0,\nIF(INDEX(YieldCountry[#All],MATCH('Y-output'!$C$4,YieldCountry[[#All],[MapSPAM country]],0),MATCH('Y-output'!F22,YieldCountry[#Headers],0))=\"\",0,\nINDEX(YieldCountry[#All],MATCH('Y-output'!$C$4,YieldCountry[[#All],[MapSPAM country]],0),MATCH('Y-output'!F22,YieldCountry[#Headers],0))))","v":0},{"$f":"IF(ISNA(INDEX(YieldRegion[#All],MATCH('Y-output'!$C$5,YieldRegion[[#All],[Region]],0),MATCH('Y-output'!F22,YieldRegion[#Headers],0))),0,\nIF(INDEX(YieldRegion[#All],MATCH('Y-output'!$C$5,YieldRegion[[#All],[Region]],0),MATCH('Y-output'!F22,YieldRegion[#Headers],0))=\"\",0,\nINDEX(YieldRegion[#All],MATCH('Y-output'!$C$5,YieldRegion[[#All],[Region]],0),MATCH('Y-output'!F22,YieldRegion[#Headers],0))))","v":0},{"$f":"IF(ISNA(INDEX(YieldGlobal[#All],2,MATCH('Y-output'!F22,YieldGlobal[#Headers],0))),0,\nIF(INDEX(YieldGlobal[#All],2,MATCH('Y-output'!F22,YieldGlobal[#Headers],0))=\"\",0,\nINDEX(YieldGlobal[#All],2,MATCH('Y-output'!F22,YieldGlobal[#Headers],0))))","v":0},0]

{"sheet":"Y-Map","index":64,"n_rows":91,"n_cols":9,"rows_kept":91,"cut":false,"hidden":true,"merged":[]}
["SPAM yield database currently not being used in the tool. Could be used for checks along with the Yield curve in the future."]
[null,"MapSPAM nomenclature mapping"]
[null,"Source:","https://www.dropbox.com/scl/fi/z468wh0d8abfohol991r5/Readme.txt?rlkey=el1w3zeykz909aadrx2xuck36&e=1&dl=0"]
[null,"Updated:",45621]
[]
[null,"Tables below reconcile the naming convention between the tool's crop names with MapSPAM"]
[]
[null,"MapSPAM crop names",null,null,null,"IFC/MapSPAM commodity mapping "]
[null,"ID","SPAM name","Crop name",null,"IFC Commodity","ID","SPAM name","Crop name"]
[null,1,"whea","Wheat",null,"Almonds",21,"grou","Groundnut"]
[null,2,"rice","Rice",null,"Apples",41,"temf","Temperate Fruit"]
[null,3,"maiz","Maize",null,"Avocados",40,"trof","Other Tropical Fruit"]
[null,4,"barl","Barley",null,"Bananas",37,"bana","Banana"]
[null,5,"mill","Small Millet",null,"Barley",4,"barl","Barley"]
[null,6,"pmil","Pearl Millet",null,"Beans",14,"bean","Bean"]
[null,7,"sorg","Sorghum",null,"Buckwheat",8,"ocer","Other Cereals"]
[null,8,"ocer","Other Cereals",null,"Carrots",44,"vege","Other Vegetables"]
[null,9,"pota","Potato",null,"Cashew nuts",21,"grou","Groundnut"]
[null,10,"swpo","Sweet Potato",null,"Cassava",12,"cass","Cassava"]
[null,11,"yams","Yams",null,"Chickpeas",15,"chic","Chickpea"]
[null,12,"cass","Cassava",null,"Cocoa",34,"coco","Cocoa"]
[null,13,"orts","Other Roots",null,"Coffee",32,"coff","Arabic Coffee"]
[null,14,"bean","Bean",null,"Coffee",33,"rcof","Robust Coffee"]
[null,15,"chic","Chickpea",null,"Cotton",30,"cott","Cotton"]
[null,16,"cowp","Cowpea",null,"Eggs",null,null,"N/A"]
[null,17,"pige","Pigeon Pea",null,"Flour",null,null,"N/A"]
[null,18,"lent","Lentil",null,"Garlic (green)",44,"vege","Other Vegetables"]
[null,19,"opul","Other Pulses",null,"Ginger",13,"orts","Other Roots"]
[null,20,"soyb","Soybean",null,"Grapes",41,"temf","Temperate Fruit"]
[null,21,"grou","Groundnut",null,"Lemons",39,"citr","Citrus"]
[null,22,"cnut","Coconut",null,"Lentils",18,"lent","Lentil"]
[null,23,"oilp","Oilpalm",null,"Lettuce",44,"vege","Other Vegetables"]
[null,24,"sunf","Sunflower",null,"Maize",3,"maiz","Maize"]
[null,25,"rape","Rapeseed",null,"Mangoes",40,"trof","Other Tropical Fruit"]
[null,26,"sesa","Sesame Seed",null,"Meat (cattle)",null,null,"N/A"]
[null,27,"ooil","Other Oil Crops",null,"Meat (chicken)",null,null,"N/A"]
[null,28,"sugc","Sugarcane",null,"Meat (pig)",null,null,"N/A"]
[null,29,"sugb","Sugarbeet",null,"Milk (cattle)",null,null,"N/A"]
[null,30,"cott","Cotton",null,"Millet",5,"mill","Small Millet"]
[null,31,"ofib","Other Fibre Crops",null,"Millet",6,"pmil","Pearl Millet"]
[null,32,"coff","Arabic Coffee",null,"Mushrooms",44,"vege","Other Vegetables"]
[null,33,"rcof","Robust Coffee",null,"Oats",8,"ocer","Other Cereals"]
[null,34,"coco","Cocoa",null,"Onions, dry",43,"onio","Onion"]
[null,35,"teas","Tea",null,"Oranges",39,"citr","Citrus"]
[null,36,"toba","Tobacco",null,"Peanuts",21,"grou","Groundnut"]
[null,37,"bana","Banana",null,"Peas (dry)",19,"opul","Other Pulses"]
[null,38,"plnt","Plantain",null,"Peppers",44,"vege","Other Vegetables"]
[null,39,"citr","Citrus",null,"Pineapples",40,"trof","Other Tropical Fruit"]
[null,40,"trof","Other Tropical Fruit",null,"Potatoes",9,"pota","Potato"]
[null,41,"temf","Temperate Fruit",null,"Quinoa",8,"ocer","Other Cereals"]
[null,42,"toma","Tomato",null,"Rapeseeds",25,"rape","Rapeseed"]
[null,43,"onio","Onion",null,"Rice",2,"rice","Rice"]
[null,44,"vege","Other Vegetables",null,"Rye",8,"ocer","Other Cereals"]
[null,45,"rubb","Rubber",null,"Sesame seed",26,"sesa","Sesame Seed"]
[null,46,"rest","Rest Of Crops",null,"Sorghum",7,"sorg","Sorghum"]
[null,null,null,null,null,"Soybeans",20,"soyb","Soybean"]
[null,null,null,null,null,"Sugar cane",28,"sugc","Sugarcane"]
[null,null,null,null,null,"Sunflower seeds",24,"sunf","Sunflower"]
[null,null,null,null,null,"Sweet potatoes",10,"swpo","Sweet Potato"]
[null,null,null,null,null,"Tomatoes",42,"toma","Tomato"]
[null,null,null,null,null,"Wheat",1,"whea","Wheat"]
[null,null,null,null,null,"Catfish",null,null,"N/A"]
[null,null,null,null,null,"Tuna",null,null,"N/A"]
[null,null,null,null,null,"Shrimp",null,null,"N/A"]
[null,null,null,null,null,"Salmon",null,null,"N/A"]
[null,null,null,null,null,"Tilapia",null,null,"N/A"]
[null,null,null,null,null,"Cotton Seed Oil",27,"ooil","Other Oil Crops"]
[null,null,null,null,null,"Sunflower Oil",24,"sunf","Sunflower"]
[null,null,null,null,null,"Olive Oil",27,"ooil","Other Oil Crops"]
[null,null,null,null,null,"Palm Oil",23,"oilp","Oilpalm"]
[null,null,null,null,null,"Yogurt",null,null,"N/A"]
[null,null,null,null,null,"Cheese",null,null,"N/A"]
[null,null,null,null,null,"Butter",null,null,"N/A"]
[null,null,null,null,null,"Blueberries",41,"temf","Temperate Fruit"]
[null,null,null,null,null,"Raspberries",41,"temf","Temperate Fruit"]
[null,null,null,null,null,"Strawberries",41,"temf","Temperate Fruit"]
[null,null,null,null,null,"Watermelons",40,"trof","Other Tropical Fruit"]
[null,null,null,null,null,"Litchi",40,"trof","Other Tropical Fruit"]
[null,null,null,null,null,"Pears",41,"temf","Temperate Fruit"]
[null,null,null,null,null,"Cherries",41,"temf","Temperate Fruit"]
[null,null,null,null,null,"Mandarins",39,"citr","Citrus"]
[null,null,null,null,null,"Cucumbers",44,"vege","Other Vegetables"]
[null,null,null,null,null,"Sweet Peppers",44,"vege","Other Vegetables"]
[null,null,null,null,null,"Onions (Fresh)",43,"onio","Onion"]
[null,null,null,null,null,"Asparagus",44,"vege","Other Vegetables"]
[null,null,null,null,null,"Broccoli",44,"vege","Other Vegetables"]
[null,null,null,null,null,"Spinach",44,"vege","Other Vegetables"]
[null,null,null,null,null,"Coconuts",22,"cnut","Coconut"]
[null,null,null,null,null,"Walnuts",21,"grou","Groundnut"]
[null,null,null,null,null,"Hazelnuts",21,"grou","Groundnut"]
[null,null,null,null,null,"Pistachios",21,"grou","Groundnut"]

{"sheet":"Y-DB","index":65,"n_rows":211,"n_cols":49,"rows_kept":211,"cut":false,"hidden":true,"merged":[[28,1,28,8],[15,1,15,8],[7,1,7,8]]}
["SPAM yield database currently not being used in the tool. Could be used for checks along with the Yield curve in the future."]
[null,"Crop yield estimates (MapSPAM)"]
[null,"Source:","https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/SWPENT"]
[null,"Updated 25/11/2024"]
[]
[]
[null,"Global averages"]
[null,"Global estimates are calculated to fill in the gaps where no data points were available for a certain combination of crop and region."]
[]
[null,"All data points are in kg / hectar"]
[null,"Region","BANA_A","BARL_A","BEAN_A","CASS_A","CHIC_A","CITR_A","CNUT_A","COCO_A","COFF_A","COTT_A","COWP_A","GROU_A","LENT_A","MAIZ_A","MILL_A","OCER_A","OFIB_A","OILP_A","ONIO_A","OOIL_A","OPUL_A","ORTS_A","PIGE_A","PLNT_A","PMIL_A","POTA_A","RAPE_A","RCOF_A","REST_A","RICE_A","RUBB_A","SESA_A","SORG_A","SOYB_A","SUGB_A","SUGC_A","SUNF_A","SWPO_A","TEAS_A","TEMF_A","TOBA_A","TOMA_A","TROF_A","VEGE_A","WHEA_A","YAMS_A"]
[null,"Global",{"$f":"AVERAGE(INDIRECT(\"YieldRegion[\"&C$11&\"]\"))","v":26386.835913702515},{"$f":"AVERAGE(INDIRECT(\"YieldRegion[\"&D$11&\"]\"))","v":2786.4342117240344},1680.7201832633057,14511.055803369298,1547.7090032994074,14070.79436515552,6745.474472361363,530.9746513758505,672.68115916140971,1920.3423875733679,1995.7934952903979,2886.2090656768369,1085.1976088302576,5285.1679242257314,2405.2669931727401,1938.5821907209149,2015.3241594910764,10870.50974746379,20537.75726501266,1795.8350763189596,1563.5097868102489,14516.308799593526,1486.0714099254117,13058.902117300797,2697.759044967353,21766.324332142038,1754.9385886952025,758.9332975197317,2716.075590947522,4267.7881085157542,986.53563959654969,874.30343794543887,3727.0515892057078,2243.8285769883378,40027.936262201147,58854.307626900125,1649.3694288715192,15005.048332074524,7266.2954570091724,9169.0884452997252,2266.0219885131492,47275.709252245128,14462.023909346512,15236.331822189199,2771.2954594646994,12418.846653484716]
[]
[]
[null,"Regional averages"]
[null,"Regional estimates are calculated to fill in the gaps where no data points were available for a certain combination of crop and country (either because the IFC country was not included in the database, or was included but without any data point for a certain commodity). "]
[null,"All data points are in kg / hectar"]
[null,"Region","BANA_A","BARL_A","BEAN_A","CASS_A","CHIC_A","CITR_A","CNUT_A","COCO_A","COFF_A","COTT_A","COWP_A","GROU_A","LENT_A","MAIZ_A","MILL_A","OCER_A","OFIB_A","OILP_A","ONIO_A","OOIL_A","OPUL_A","ORTS_A","PIGE_A","PLNT_A","PMIL_A","POTA_A","RAPE_A","RCOF_A","REST_A","RICE_A","RUBB_A","SESA_A","SORG_A","SOYB_A","SUGB_A","SUGC_A","SUNF_A","SWPO_A","TEAS_A","TEMF_A","TOBA_A","TOMA_A","TROF_A","VEGE_A","WHEA_A","YAMS_A"]
[null,"Sub-Saharan Africa",{"$f":"IFERROR(AVERAGEIFS(D$33:D$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":41302.645020061136},{"$f":"IFERROR(AVERAGEIFS(E$33:E$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":2478.6725464000506},{"$f":"IFERROR(AVERAGEIFS(F$33:F$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1327.5406932766143},{"$f":"IFERROR(AVERAGEIFS(G$33:G$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":10935.442104071648},{"$f":"IFERROR(AVERAGEIFS(H$33:H$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1339.9559584695151},{"$f":"IFERROR(AVERAGEIFS(I$33:I$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":11445.897507009702},{"$f":"IFERROR(AVERAGEIFS(J$33:J$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":3100.2354049833743},{"$f":"IFERROR(AVERAGEIFS(K$33:K$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":400.45156370229881},{"$f":"IFERROR(AVERAGEIFS(L$33:L$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":641.94212619333064},{"$f":"IFERROR(AVERAGEIFS(M$33:M$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1091.7612246712142},{"$f":"IFERROR(AVERAGEIFS(N$33:N$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":688.96324992659299},{"$f":"IFERROR(AVERAGEIFS(O$33:O$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":921.10204156428495},{"$f":"IFERROR(AVERAGEIFS(P$33:P$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":735.8693838674219},{"$f":"IFERROR(AVERAGEIFS(Q$33:Q$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":2049.8835915828204},{"$f":"IFERROR(AVERAGEIFS(R$33:R$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1213.1648317060196},{"$f":"IFERROR(AVERAGEIFS(S$33:S$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":913.47882374234575},{"$f":"IFERROR(AVERAGEIFS(T$33:T$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":898.63366975981535},{"$f":"IFERROR(AVERAGEIFS(U$33:U$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":9306.5978534994229},{"$f":"IFERROR(AVERAGEIFS(V$33:V$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":13270.133988815454},{"$f":"IFERROR(AVERAGEIFS(W$33:W$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1150.4505989659406},{"$f":"IFERROR(AVERAGEIFS(X$33:X$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":918.1568363560051},{"$f":"IFERROR(AVERAGEIFS(Y$33:Y$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":7277.1322629964461},{"$f":"IFERROR(AVERAGEIFS(Z$33:Z$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":944.11312697187168},{"$f":"IFERROR(AVERAGEIFS(AA$33:AA$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":7617.9123657062783},{"$f":"IFERROR(AVERAGEIFS(AB$33:AB$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":737.24417529025368},{"$f":"IFERROR(AVERAGEIFS(AC$33:AC$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":12655.549570508245},{"$f":"IFERROR(AVERAGEIFS(AD$33:AD$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":2244.6075873899563},{"$f":"IFERROR(AVERAGEIFS(AE$33:AE$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":541.56685692207395},{"$f":"IFERROR(AVERAGEIFS(AF$33:AF$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1854.8048704832447},{"$f":"IFERROR(AVERAGEIFS(AG$33:AG$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":2297.5952209929806},{"$f":"IFERROR(AVERAGEIFS(AH$33:AH$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":930.39626181209132},{"$f":"IFERROR(AVERAGEIFS(AI$33:AI$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":547.94182432375692},{"$f":"IFERROR(AVERAGEIFS(AJ$33:AJ$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":4070.2114597995555},{"$f":"IFERROR(AVERAGEIFS(AK$33:AK$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":4569.5873834111217},{"$f":"IFERROR(AVERAGEIFS(AL$33:AL$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":15050.056521739129},{"$f":"IFERROR(AVERAGEIFS(AM$33:AM$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":48342.901574246054},{"$f":"IFERROR(AVERAGEIFS(AN$33:AN$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1811.8355611404004},{"$f":"IFERROR(AVERAGEIFS(AO$33:AO$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":9613.610905523592},{"$f":"IFERROR(AVERAGEIFS(AP$33:AP$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":3871.1317601478208},{"$f":"IFERROR(AVERAGEIFS(AQ$33:AQ$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":5583.8320383740111},{"$f":"IFERROR(AVERAGEIFS(AR$33:AR$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":2185.3961321434581},{"$f":"IFERROR(AVERAGEIFS(AS$33:AS$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":11599.846307449858},{"$f":"IFERROR(AVERAGEIFS(AT$33:AT$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":9906.7265858132869},{"$f":"IFERROR(AVERAGEIFS(AU$33:AU$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":6487.0045502810917},{"$f":"IFERROR(AVERAGEIFS(AV$33:AV$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1721.5376120594008},{"$f":"IFERROR(AVERAGEIFS(AW$33:AW$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":8978.5263091141023}]
[null,"Latin America & Caribbean",{"$f":"IFERROR(AVERAGEIFS(D$33:D$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":21264.688481159323},{"$f":"IFERROR(AVERAGEIFS(E$33:E$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":2931.2764249925117},{"$f":"IFERROR(AVERAGEIFS(F$33:F$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1126.4614128890905},{"$f":"IFERROR(AVERAGEIFS(G$33:G$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":14728.835209261764},{"$f":"IFERROR(AVERAGEIFS(H$33:H$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1060.7706574885835},{"$f":"IFERROR(AVERAGEIFS(I$33:I$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":12515.711120083583},{"$f":"IFERROR(AVERAGEIFS(J$33:J$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":7127.866327519353},{"$f":"IFERROR(AVERAGEIFS(K$33:K$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":532.6009806073597},{"$f":"IFERROR(AVERAGEIFS(L$33:L$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":697.95718301929014},{"$f":"IFERROR(AVERAGEIFS(M$33:M$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1935.2034946251895},{"$f":"IFERROR(AVERAGEIFS(N$33:N$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1550.5364705591619},{"$f":"IFERROR(AVERAGEIFS(O$33:O$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":2417.1707130377176},{"$f":"IFERROR(AVERAGEIFS(P$33:P$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":620.80406580105068},{"$f":"IFERROR(AVERAGEIFS(Q$33:Q$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":3769.5457597864365},{"$f":"IFERROR(AVERAGEIFS(R$33:R$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":7868.2391209116249},{"$f":"IFERROR(AVERAGEIFS(S$33:S$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":2256.0664175376987},{"$f":"IFERROR(AVERAGEIFS(T$33:T$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1066.7496164002139},{"$f":"IFERROR(AVERAGEIFS(U$33:U$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":11046.960005876108},{"$f":"IFERROR(AVERAGEIFS(V$33:V$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":18749.318172249714},{"$f":"IFERROR(AVERAGEIFS(W$33:W$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":2316.8249495093669},{"$f":"IFERROR(AVERAGEIFS(X$33:X$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1833.6301703675081},{"$f":"IFERROR(AVERAGEIFS(Y$33:Y$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":9934.1037946175566},{"$f":"IFERROR(AVERAGEIFS(Z$33:Z$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":2212.6290117808239},{"$f":"IFERROR(AVERAGEIFS(AA$33:AA$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":14218.113665685016},{"$f":"IFERROR(AVERAGEIFS(AB$33:AB$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(AC$33:AC$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":18074.222690123152},{"$f":"IFERROR(AVERAGEIFS(AD$33:AD$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1869.0735330941206},{"$f":"IFERROR(AVERAGEIFS(AE$33:AE$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":678.44802475003394},{"$f":"IFERROR(AVERAGEIFS(AF$33:AF$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":3258.4612385790169},{"$f":"IFERROR(AVERAGEIFS(AG$33:AG$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":3577.9758732467758},{"$f":"IFERROR(AVERAGEIFS(AH$33:AH$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1164.7393292072095},{"$f":"IFERROR(AVERAGEIFS(AI$33:AI$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":697.99599164275821},{"$f":"IFERROR(AVERAGEIFS(AJ$33:AJ$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":2259.6087548125774},{"$f":"IFERROR(AVERAGEIFS(AK$33:AK$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":2263.1896236816629},{"$f":"IFERROR(AVERAGEIFS(AL$33:AL$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":31112.916581777739},{"$f":"IFERROR(AVERAGEIFS(AM$33:AM$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":53680.566702200194},{"$f":"IFERROR(AVERAGEIFS(AN$33:AN$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1540.5744207303871},{"$f":"IFERROR(AVERAGEIFS(AO$33:AO$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":12995.619009472492},{"$f":"IFERROR(AVERAGEIFS(AP$33:AP$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":3181.3201760833863},{"$f":"IFERROR(AVERAGEIFS(AQ$33:AQ$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":9754.8439854177104},{"$f":"IFERROR(AVERAGEIFS(AR$33:AR$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1844.0448567083781},{"$f":"IFERROR(AVERAGEIFS(AS$33:AS$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":31134.192721040872},{"$f":"IFERROR(AVERAGEIFS(AT$33:AT$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":16765.298691966269},{"$f":"IFERROR(AVERAGEIFS(AU$33:AU$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":12695.149420306341},{"$f":"IFERROR(AVERAGEIFS(AV$33:AV$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":2573.6919460613685},{"$f":"IFERROR(AVERAGEIFS(AW$33:AW$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":16489.842776827056}]
[null,"East Asia & Pacific",{"$f":"IFERROR(AVERAGEIFS(D$33:D$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":14335.850062212287},{"$f":"IFERROR(AVERAGEIFS(E$33:E$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":2926.3941336143398},{"$f":"IFERROR(AVERAGEIFS(F$33:F$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1202.5802229716026},{"$f":"IFERROR(AVERAGEIFS(G$33:G$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":15720.499454336765},{"$f":"IFERROR(AVERAGEIFS(H$33:H$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":2734.1609744341858},{"$f":"IFERROR(AVERAGEIFS(I$33:I$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":12474.485646546043},{"$f":"IFERROR(AVERAGEIFS(J$33:J$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":6563.2417561789553},{"$f":"IFERROR(AVERAGEIFS(K$33:K$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":692.92557438357994},{"$f":"IFERROR(AVERAGEIFS(L$33:L$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1357.9959386205933},{"$f":"IFERROR(AVERAGEIFS(M$33:M$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1768.2121065912943},{"$f":"IFERROR(AVERAGEIFS(N$33:N$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1413.3073116574326},{"$f":"IFERROR(AVERAGEIFS(O$33:O$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1833.5153007839667},{"$f":"IFERROR(AVERAGEIFS(P$33:P$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1641.9925644463024},{"$f":"IFERROR(AVERAGEIFS(Q$33:Q$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":4667.7038392615741},{"$f":"IFERROR(AVERAGEIFS(R$33:R$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1248.0097809177976},{"$f":"IFERROR(AVERAGEIFS(S$33:S$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1696.517803217316},{"$f":"IFERROR(AVERAGEIFS(T$33:T$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1796.1183392426517},{"$f":"IFERROR(AVERAGEIFS(U$33:U$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":12257.971383015842},{"$f":"IFERROR(AVERAGEIFS(V$33:V$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":18808.855277803152},{"$f":"IFERROR(AVERAGEIFS(W$33:W$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1083.1197366240187},{"$f":"IFERROR(AVERAGEIFS(X$33:X$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1311.1693726291348},{"$f":"IFERROR(AVERAGEIFS(Y$33:Y$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":10926.809447537296},{"$f":"IFERROR(AVERAGEIFS(Z$33:Z$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1842.9501896437282},{"$f":"IFERROR(AVERAGEIFS(AA$33:AA$211, YieldCountry[Region],YieldRegion[[#This 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Row],[Region]]),\"\")","v":10234.00780094125},{"$f":"IFERROR(AVERAGEIFS(AR$33:AR$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":2064.5347776627432},{"$f":"IFERROR(AVERAGEIFS(AS$33:AS$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":80957.487382333871},{"$f":"IFERROR(AVERAGEIFS(AT$33:AT$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":20441.56692293294},{"$f":"IFERROR(AVERAGEIFS(AU$33:AU$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":20582.3272289089},{"$f":"IFERROR(AVERAGEIFS(AV$33:AV$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":3687.2934102812369},{"$f":"IFERROR(AVERAGEIFS(AW$33:AW$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":""}]
[null,"Middle East & North Africa",{"$f":"IFERROR(AVERAGEIFS(D$33:D$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":34508.743100743632},{"$f":"IFERROR(AVERAGEIFS(E$33:E$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":2588.2003416402304},{"$f":"IFERROR(AVERAGEIFS(F$33:F$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":2723.1996339530224},{"$f":"IFERROR(AVERAGEIFS(G$33:G$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(H$33:H$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1481.6542433613438},{"$f":"IFERROR(AVERAGEIFS(I$33:I$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":14102.746751002333},{"$f":"IFERROR(AVERAGEIFS(J$33:J$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(K$33:K$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(L$33:L$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":328.97736797988165},{"$f":"IFERROR(AVERAGEIFS(M$33:M$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1549.0579446638189},{"$f":"IFERROR(AVERAGEIFS(N$33:N$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":3729.6845244424007},{"$f":"IFERROR(AVERAGEIFS(O$33:O$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":2844.655871477546},{"$f":"IFERROR(AVERAGEIFS(P$33:P$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1211.808755560518},{"$f":"IFERROR(AVERAGEIFS(Q$33:Q$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":7277.837944305903},{"$f":"IFERROR(AVERAGEIFS(R$33:R$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1128.2978847400868},{"$f":"IFERROR(AVERAGEIFS(S$33:S$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1710.3166666150348},{"$f":"IFERROR(AVERAGEIFS(T$33:T$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":699.22549433621339},{"$f":"IFERROR(AVERAGEIFS(U$33:U$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(V$33:V$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":24222.983491566571},{"$f":"IFERROR(AVERAGEIFS(W$33:W$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":4185.0940879873197},{"$f":"IFERROR(AVERAGEIFS(X$33:X$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1704.8348804615709},{"$f":"IFERROR(AVERAGEIFS(Y$33:Y$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":29088.777789269898},{"$f":"IFERROR(AVERAGEIFS(Z$33:Z$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(AA$33:AA$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(AB$33:AB$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1687.407053941907},{"$f":"IFERROR(AVERAGEIFS(AC$33:AC$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":20550.521823678126},{"$f":"IFERROR(AVERAGEIFS(AD$33:AD$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1348.9983025599706},{"$f":"IFERROR(AVERAGEIFS(AE$33:AE$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(AF$33:AF$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":4681.697570008585},{"$f":"IFERROR(AVERAGEIFS(AG$33:AG$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":4419.2311084358635},{"$f":"IFERROR(AVERAGEIFS(AH$33:AH$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(AI$33:AI$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1310.101044098363},{"$f":"IFERROR(AVERAGEIFS(AJ$33:AJ$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":7613.5172615171359},{"$f":"IFERROR(AVERAGEIFS(AK$33:AK$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1545.222865690625},{"$f":"IFERROR(AVERAGEIFS(AL$33:AL$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":41364.555175019792},{"$f":"IFERROR(AVERAGEIFS(AM$33:AM$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":55096.117531087919},{"$f":"IFERROR(AVERAGEIFS(AN$33:AN$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":1750.7011067427297},{"$f":"IFERROR(AVERAGEIFS(AO$33:AO$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":15259.479990728287},{"$f":"IFERROR(AVERAGEIFS(AP$33:AP$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":6702.9488095242095},{"$f":"IFERROR(AVERAGEIFS(AQ$33:AQ$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":10168.049066329668},{"$f":"IFERROR(AVERAGEIFS(AR$33:AR$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":3164.6225165510486},{"$f":"IFERROR(AVERAGEIFS(AS$33:AS$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":50365.441822550936},{"$f":"IFERROR(AVERAGEIFS(AT$33:AT$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":11405.476319163856},{"$f":"IFERROR(AVERAGEIFS(AU$33:AU$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":20754.288221465624},{"$f":"IFERROR(AVERAGEIFS(AV$33:AV$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":2721.0420157453332},{"$f":"IFERROR(AVERAGEIFS(AW$33:AW$211, YieldCountry[Region],YieldRegion[[#This Row],[Region]]),\"\")","v":""}]
[]
[]
[null,"MapSPAM data manipulation"]
["`","Original MapSPAM crop yield database (spam2020V1r0_global_Y_TA) is aggregated from the regional to the national level, and the zeros are substituted with blanks to avoid affecting the averages values used to produce estimates at the national and regional level. Orginal database couldn't be included due to size (500k+ rows). \n\nFormula used to agggregate and clean the data is provided here:\nIFERROR(AVERAGEIFS(INDIRECT(\"'spam2020V1r0_global_Y_TA-CT-edit.csv'!DBclean[\"&E$21&\"]\"),'spam2020V1r0_global_Y_TA-CT-edit.csv'!DBclean[ADM0_NAME],[@[MapSPAM country]]),\"\")\n\nOriginal file used is:\nhttps://carbontrust.sharepoint.com/sites/IFCFoodLossTool-Phase2-Sept24/Shared%20Documents/General/2.%20Tool/2.%20Data/SPAM%20model/spam2020V1r0_global_yield/spam2020V1r0_global_Y_TA-CT-edit.csv?web=1"]
[]
[null,"All data points are in kg / hectar"]
[null,"MapSPAM country","Region","BANA_A","BARL_A","BEAN_A","CASS_A","CHIC_A","CITR_A","CNUT_A","COCO_A","COFF_A","COTT_A","COWP_A","GROU_A","LENT_A","MAIZ_A","MILL_A","OCER_A","OFIB_A","OILP_A","ONIO_A","OOIL_A","OPUL_A","ORTS_A","PIGE_A","PLNT_A","PMIL_A","POTA_A","RAPE_A","RCOF_A","REST_A","RICE_A","RUBB_A","SESA_A","SORG_A","SOYB_A","SUGB_A","SUGC_A","SUNF_A","SWPO_A","TEAS_A","TEMF_A","TOBA_A","TOMA_A","TROF_A","VEGE_A","WHEA_A","YAMS_A"]
[null,"Afghanistan",{"$f":"INDEX(CountryMapping[Region],MATCH(YieldCountry[[#This Row],[MapSPAM country]],CountryMapping[MapSPAM classification],0))","v":"South Asia"},"",1397.7674017257916,"","","",7272.1320158102735,"","","",1364.5260526315792,"","","",1280.205577029265,1364.8452292441141,"","","",16806.38160427806,1321.9470344827562,531.66919032597207,"","","","",11927.131812933021,"","",1218.4451422963696,2735.5225890529982,"",685.59819527996206,"","",14935.735542747361,26528.066566265064,954.5764888337452,"","",9781.8926387771025,"","",12386.677275620528,8646.5205648720203,1946.6555643879135,""]
[null,"Albania",{"$f":"INDEX(CountryMapping[Region],MATCH(YieldCountry[[#This Row],[MapSPAM country]],CountryMapping[MapSPAM classification],0))","v":"Europe & Central Asia"},"",3539.4042253521125,1647.9563380281691,"","",25775.183098591544,"","","",1090.0126760563378,"","","",6420.0746478873216,"",2188.4802816901415,"","",15825.766197183104,3230.4338028169013,343.33239436619721,"","","","",25753.490140845071,"","",3298.8382352941176,"","","","",2659.0103448275854,34835.938095238096,"",2331.2547619047623,"","",17400.033802816903,1772.8090909090906,34540.207042253496,35658.408450704213,19658.978873239448,4557.2985915492964,""]
[null,"Algeria",{"$f":"INDEX(CountryMapping[Region],MATCH(YieldCountry[[#This Row],[MapSPAM country]],CountryMapping[MapSPAM classification],0))","v":"Middle East & North Africa"},24680.079999999998,2366.3851912123705,956.4705473501308,"",1072.5673452768738,15898.120083246606,"","","",277.98592750533044,"",2349.6835140997841,863.51231569817958,6491.9269535673839,"",1385.6615947925154,"","",27130.297542997541,2131.5650935720091,1170.5660423452789,"","","","",31944.432165605089,1949.7418103448267,"",1231.7816082121474,1856.0131147540976,"","",5929.0146750524073,"","","",447.51528013582333,"","",5773.5793327908805,1762.7461818181814,47292.683921246877,4980.3880390560716,15315.580065093562,3011.8497152156233,""]
[null,"Angola",{"$f":"INDEX(CountryMapping[Region],MATCH(YieldCountry[[#This Row],[MapSPAM country]],CountryMapping[MapSPAM classification],0))","v":"Sub-Saharan Africa"},9984.4364344709302,"",527.44049853823628,9645.5343099583715,"",9192.6917500385262,"",182.5053291536037,"",1731.0229674796744,"",695.02047967606541,"",829.23859231013978,"","",740.7053169734163,11431.121323529413,1453.559809932553,253.02141963727351,"","","","",376.94184587813749,6582.8153250773175,"",282.72666938110723,770.78776448941983,1009.2762336566839,"",257.73862571577371,263.75965018094087,1437.5479443390282,"",39570.812047012718,704.66148078725269,46842.274803767687,"",3416.7465905486806,810.7988987717074,1799.5010269773104,8272.8286293466736,12393.6532361963,922.47469618055538,""]
[null,"Antigua and Barbuda",{"$f":"INDEX(CountryMapping[Region],MATCH(YieldCountry[[#This Row],[MapSPAM country]],CountryMapping[MapSPAM classification],0))","v":"Latin America & Caribbean"},1042.8571428571429,"","",3533.6714285714288,"",1372.3571428571429,"","","",196.31428571428572,"","","",2854.9285714285716,"","","","",8298.6428571428587,"","",4355.2857142857147,"","","","","","","","","","","","","","","",3214.542857142857,"","","",5698.0857142857149,6344.6428571428569,3840.8714285714282,"",3502.9571428571426]
[null,"Argentina",{"$f":"INDEX(CountryMapping[Region],MATCH(YieldCountry[[#This Row],[MapSPAM country]],CountryMapping[MapSPAM classification],0))","v":"Latin America & Caribbean"},21059.997216494685,2965.1150453955852,1774.7864180154836,11469.016624365468,1333.3355113636355,21621.28833750026,"","","",1936.4048874598093,"",4036.2108999999932,733.62669683257968,7221.3264405881837,1644.2827004219416,1958.9168713749534,945.35661080074499,"",21367.943218425404,3121.142233009718,2436.0089703237404,"","","","",28826.521302240351,1666.1545197740111,"",1323.8576423308755,4857.0149479659449,"","",4893.1073827160517,3248.0323721799509,"",34181.896921385036,2161.0403660566062,11955.765490196098,9290.7899563319206,12994.405357369536,1985.5984205330838,45124.234366695739,13233.529602318094,9543.9898127341166,2729.444995167752,""]
[null,"Armenia",{"$f":"INDEX(CountryMapping[Region],MATCH(YieldCountry[[#This Row],[MapSPAM country]],CountryMapping[MapSPAM classification],0))","v":"Europe & Central Asia"},"",2214.2329192546586,1720.0380530973448,"",818.09333333333348,"","","","","","","",868.24745762711871,2099.1358333333342,"",3089.9126666666666,"","",10686.312030075191,856.01,1488.3614583333338,"","","","",17871.432330827054,"","",2529.2694029850745,"","","","","",14537.165333333336,"","","","",6605.5306666666747,3079.6264705882345,11218.175333333334,16097.02,9271.3067567567559,2204.391304347826,""]
[null,"Australia",{"$f":"INDEX(CountryMapping[Region],MATCH(YieldCountry[[#This Row],[MapSPAM country]],CountryMapping[MapSPAM classification],0))","v":"East Asia & Pacific"},16066.623874755431,2697.2867860600231,1548.0206155143335,"",1432.7759901923769,13399.510639523682,"","","",2241.808573596345,"",2274.6547491638898,1032.7106689043385,2583.6585679314462,1002.4520394612009,1420.6051465901849,"","",42546.693956043942,2106.061023555324,1326.8355075939237,"","","","",15435.669956331889,1330.1830051445825,"",1534.3497821124627,1903.5238095238046,"","",1932.6060942760957,1509.0395335608694,"",31707.077953045646,1429.9099896301457,56667.495272883512,"",14500.717095529271,2644.1987020010824,64018.563157894736,9776.9997857756134,44556.30885947046,2444.836496582423,""]
[null,"Austria",{"$f":"INDEX(CountryMapping[Region],MATCH(YieldCountry[[#This Row],[MapSPAM country]],CountryMapping[MapSPAM classification],0))","v":"Europe & Central Asia"},"",6087.9301169590663,"","","","","","","","","","","",10104.542982456136,"",4855.1184210526353,4699.3081871345066,"",43569.814035087737,726.37537537537571,1934.1485380116931,"","","","",32367.102339181281,3210.4812865497061,"",8118.2136645962682,"","","",8023.9591591591661,2991.9847953216381,74861.163963963947,"",2596.6684684684665,"","",10950.018421052624,"",285779.09765395912,42552.236335403693,28876.961403508769,5754.9459064327502,""]
[null,"Azerbaijan",{"$f":"INDEX(CountryMapping[Region],MATCH(YieldCountry[[#This Row],[MapSPAM country]],CountryMapping[MapSPAM classification],0))","v":"Europe & Central Asia"},"",2614.6502564102557,2230.7791338582683,"","",18774.080075187972,"","","",2355.1533527696811,"","",1457.9267716535437,7839.4832478632516,"",2293.3312499999997,"","",16678.38752136752,1478.7905511811043,1666.7985239852403,"","","",32098.356140350865,11919.259432387309,"","",1776.4701030927845,3133.7999999999993,"","",979.42952755905469,556.80551181102328,32355.842066420661,"",1736.4858267716534,"",1560.6687500000005,8786.8120430107483,1896.5374999999999,28415.513856427362,12465.161403508744,15159.70133555925,2508.5305982905998,""]
[null,"Bahamas",{"$f":"INDEX(CountryMapping[Region],MATCH(YieldCountry[[#This Row],[MapSPAM country]],CountryMapping[MapSPAM classification],0))","v":"Latin America & Caribbean"},24480.833333333332,"","",24028.600000000002,"",27953.866666666665,7876.4000000000005,"","","","","","",8399.6,"","","","",7517.833333333333,"","","",1006.7333333333332,7677.7,"","","","","","","","","","","",24890.399999999998,"",3410.0666666666671,"","","",63745.933333333327,9428.8666666666668,7785.0333333333328,"",""]
[null,"Bahrain",{"$f":"INDEX(CountryMapping[Region],MATCH(YieldCountry[[#This Row],[MapSPAM country]],CountryMapping[MapSPAM classification],0))","v":"Middle East & North Africa"},"","","","","",11912.866666666667,"","","","","","","","","","","","",29999.866666666669,"",738.86666666666667,"","","","",30666.633333333331,"","",2074.7333333333331,"","","","","","","","","","",7426.4000000000005,"",77522.5,5970.6333333333341,52696.1,"",""]
[null,"Bangladesh",{"$f":"INDEX(CountryMapping[Region],MATCH(YieldCountry[[#This Row],[MapSPAM country]],CountryMapping[MapSPAM classification],0))","v":"South Asia"},17285.807813378273,498.85511982570608,935.73410112359352,"",1203.0496753246766,4082.4385613207669,18823.909499718971,"","",4592.985796862089,"",2253.6543556085912,1299.1875715922001,6329.1122377622369,959.01687929342472,"",2637.8961776278834,"",9339.4629775280664,954.58731617647186,830.2356611333704,"",1067.2159830268743,13262.021175584006,"",16884.536597014874,1329.8229342327143,"",1879.1052808988798,4467.9499999999944,113.47021276595758,1034.5419336706018,1366.4576923076927,1326.0538053097359,"",29419.316919617762,"",10511.451770657679,6271.7717206132866,8089.7932584269684,1800.9404562737668,14585.860393258417,14699.157471910108,9272.0634269662987,2366.4544051446933,""]
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[null,"Uzbekistan",{"$f":"INDEX(CountryMapping[Region],MATCH(YieldCountry[[#This Row],[MapSPAM country]],CountryMapping[MapSPAM classification],0))","v":"Europe & Central Asia"},"",1343.3157384987885,"","",2545.1571428571447,7563.704600484245,"","","",2799.2733656174328,"",22663.125797872348,944.50666666666746,9310.2456386292779,2724.9224299065418,2122.4696261682238,10263.279151515153,"",34952.626323987519,580.77046004842555,4293.6858353510825,"","","","",32554.555205811175,680.25907990314715,"",5524.1976635514047,5483.7330508474561,"",1493.2911622276024,1390.122760290556,2243.6987893462297,29099.114285714266,"",3433.3335351089531,"","",11468.997094430986,2238.4398753894034,34994.123987538929,34146.501694915314,50973.987383177533,4597.5374092009688,""]
[null,"Vanuatu",{"$f":"INDEX(CountryMapping[Region],MATCH(YieldCountry[[#This Row],[MapSPAM country]],CountryMapping[MapSPAM classification],0))","v":"East Asia & Pacific"},9624.0690140845036,"","","","","",2368.5887323943671,433.36408450704209,"","","",1147.4288732394361,"",555.36619718309851,"","","","","","","",7577.0535211267625,"","","","","",615.48873239436671,14848.288805970147,"","","","","","","","","","",7507.7359154929582,"","",7514.6859154929552,18437.327464788716,"",""]
[null,"Venezuela",{"$f":"INDEX(CountryMapping[Region],MATCH(YieldCountry[[#This Row],[MapSPAM country]],CountryMapping[MapSPAM classification],0))","v":"Latin America & Caribbean"},9601.8181046676091,"",971.19849537037203,14879.932233796328,"",15286.950520833323,7278.7233796296687,389.72946428571447,390.23744212963004,1349.2670138888848,"",2861.3003472222185,"",3384.9057291666668,"","",3365.4214699074082,10544.059288097886,12224.075462962957,"",1427.8450231481522,11747.617234468888,710.17702546296357,10194.125983796324,"",15143.701562500009,"","","",2235.3111689814823,"",448.47309027778311,2193.0434027777696,1368.6721064814828,20217.961631944479,35998.238599537006,641.6120949074043,7958.7069444444705,"",14373.676388888898,1721.1126807563965,16012.009490740757,18800.777372685196,11393.628645833329,2582.863136574088,8622.5916666666762]
[null,"Viet Nam",{"$f":"INDEX(CountryMapping[Region],MATCH(YieldCountry[[#This Row],[MapSPAM country]],CountryMapping[MapSPAM classification],0))","v":"East Asia & Pacific"},14695.031657018819,"",1145.2893294881064,12504.669735069605,"",14476.572314347552,10576.766678726473,469.13307642902993,1947.1218320057876,586.65956216439417,"",2300.8003965392959,"",4764.4487795992745,985.97839506172841,"",3938.4265217391326,"",3147.8520547945145,819.57059301381003,743.96571737563499,"","","","",15325.87895760402,"",2614.4559334298078,1019.9923049132935,3838.931146359047,1525.757163531114,775.06550108145848,"",967.04124008651661,"",62234.37745664746,"",8022.8717015140501,8492.0605434782119,10437.078871201129,2022.6663805970231,"",15665.938800578038,15827.19873371924,"",""]
[null,"Yemen",{"$f":"INDEX(CountryMapping[Region],MATCH(YieldCountry[[#This Row],[MapSPAM country]],CountryMapping[MapSPAM classification],0))","v":"Middle East & North Africa"},12367.725714285712,529.67626514611527,1721.825196850396,"",1527.8899501068972,12724.031361368574,"","",328.97736797988165,1063.5514285714287,2045.3234294161139,188.35424091232832,436.85310049893263,586.45548617305997,239.7973627940126,"","","",15327.885338345859,"",927.0222380613086,"","","","",14198.053061224482,"","",1329.1413407821226,"","",1045.16721311478,641.61511047754755,"","","","",8067.1735632183882,"",5896.4231646471917,2578.8614285714298,13235.955102040818,5037.983677833221,8319.7974025974017,1026.4408410548781,""]
[null,"Zambia",{"$f":"INDEX(CountryMapping[Region],MATCH(YieldCountry[[#This Row],[MapSPAM country]],CountryMapping[MapSPAM classification],0))","v":"Sub-Saharan Africa"},4467.2327272727271,5926.6535714285728,602.59297325642319,30472.392997061659,"",2918.3926984126979,"","",819.19052478134142,715.3617045454547,448.99140740740813,727.80763618676963,"",2480.7817600786652,1599.5424242424231,"","","",8170.5640724424829,"",1852.2646840148714,"","","",797.31999999999994,15269.383065134065,"","",682.71183294663638,1350.1887562189117,"","",884.52888888888765,990.97139328063281,"",113387.77440476188,570.24267409470781,2885.7123188405758,1367.3888888888889,3939.7743644067837,1989.0399809160281,5033.3798335780702,2203.2436619718314,3908.5487841191052,5670.9623762376286,""]
[null,"Zimbabwe",{"$f":"INDEX(CountryMapping[Region],MATCH(YieldCountry[[#This Row],[MapSPAM country]],CountryMapping[MapSPAM classification],0))","v":"Sub-Saharan Africa"},8466.4834937083724,1215.6400359066411,482.40734032411859,4670.6473493100875,1266.3921472392633,7379.9568940493409,"","",268.48070175438596,1144.0962132921179,"",516.01400359066361,"",912.14011544011612,346.45451664025353,1081.8085943190104,486.38039927404748,"",15150.865820029006,553.73682983683,283.35108853410981,9912.4178102189762,"","",311.38667687595739,1431.7467620481937,"","",1135.8148471615721,280.22624309392268,"","",651.42207792207842,1369.404452830189,"",19309.379746835439,504.57569832402316,3818.5247948951719,7477.6688976377991,6079.6187909686842,1813.0272042200429,6360.8528301886736,4388.5833734939852,5745.6166182873812,1349.0323036187126,""]

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[null,"The production EF for processed dairy products is that of milk."]
[null,"Country","Region","Animal Protein","Name Discrepancies","Farm system","CONCAT","EF (tonneCO2e/tonne)","CH4 EF (tonneCO2e/tonne)","N2O EF (tonneCO2e/tonne)","EF % from CH4","EF % from N2O","Type of calculation",null,null,"Country","Region","Crop","CONCAT","IFC Category","EF total CO2e (tCO2e/t)","EF total CO2e from CH4 (tCO2e/t)","EF total CO2e from N2O (tCO2e/t)","EF % from CH4","EF % from N2O","Type of calculation"]
["Animal Proteins EF","Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Butter",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Butter"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaButterAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":5.3230431413880028},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.5497376647248537},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.5862668561336248},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000009},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},{"$f":"\"Direct livestock Emission Factor calculation\"","v":"Direct livestock Emission Factor calculation"},null,"ALL non-animal proteins EF\n(crops & Flour)","Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Almonds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaAlmonds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Catfish",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Catfish"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaCatfish"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.0981949458483755},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.18580145253110708},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0364841244221823},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.9970872000835077E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Apples",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaApples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Cheese",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Cheese"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaCheeseAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":5.3230431413880028},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.5497376647248537},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.5862668561336248},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000009},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Asparagus",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaAsparagus"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaEggsAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.7351172483352548},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.11761004167841595},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0147284991323795},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Avocados",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaAvocados"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaEggsBackyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":1.9049501547338767},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":8.1912856653556687E-2},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.70673650740626826},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Bananas",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaBananas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Layers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaEggsLayers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.8325334269918709},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.12179893736065044},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0508699014139842},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Barley",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaBarley"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaMeat (cattle)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":43.870111925449592},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":20.35573193340861},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":12.766202570305831},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Beans",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaBeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaMeat (cattle)Grass+lot"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":60.477229765768072},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":28.061434611316383},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":17.598873861838509},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Blueberries",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaBlueberries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaMeat (cattle)Grassland"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":60.477229765768072},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":28.061434611316383},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":17.598873861838509},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Broccoli",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaBroccoli"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaMeat (cattle)Mixed"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":30.881110884779254},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":14.328835450537573},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":8.986403267470763},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Buckwheat",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaBuckwheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed+lot",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaMeat (cattle)Mixed+lot"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":30.881110884779254},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":14.328835450537573},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":8.986403267470763},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Carrots",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaCarrots"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaMeat (chicken)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.2441694844236304},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.13949928783021609},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.2035868787211668},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.37099999999999994},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Cashew nuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaCashew nuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaMeat (chicken)Backyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.2907767711636726},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.1415034011600379},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.2208781821017225},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Cassava",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaCassava"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaMeat (chicken)Broilers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.0922198913249437},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.13296545532697257},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.1472135796815541},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Cherries",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaCherries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaMeat (chicken)Layers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":5.8199226863330242},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.25025667551232},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.1591913166295518},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.37099999999999994},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Chickpeas",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaChickpeas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaMeat (pig)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":6.7079474876581804},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.670278924426887},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.6904027668898616},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.249},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.252},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Cocoa",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaCocoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaMeat (pig)Backyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":4.1944164907958008},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0444097062081543},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0569929556805417},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.24899999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.252},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Coconuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaCoconuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaMeat (pig)Industrial"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":7.3589129040368793},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.832369313105183},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.8544460518172936},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.249},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.252},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Coffee",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaCoffee"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Intermediate",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaMeat (pig)Intermediate"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":6.0528903828882932},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.507169705339185},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.5253283764878498},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.249},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.252},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Cotton",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaCotton"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Cotton"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaMilk (cattle)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":5.3230431413880028},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.5497376647248537},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.5862668561336248},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000009},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Cucumbers",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaCucumbers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaMilk (cattle)Grassland"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":7.9318306556209075},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":3.7993468840424152},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.3636855353750303},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000004},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Flour",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaFlour"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Flour"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Based proportionally on Wheat EF"}]
[null,"Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaMilk (cattle)Mixed"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.6077323256748368},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.7281037839982469},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0751042330511014},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000004},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Garlic (green)",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaGarlic (green)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Salmon",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Salmon"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaSalmon"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.1386861313868613},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.12825887223536259},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.71548571379435089},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.997087200083507E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Ginger",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaGinger"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Shrimp",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Shrimp"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaShrimp"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":6.5409954751131218},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.3922692023960504},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.1882541564909883},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.997087200083507E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Grapes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaGrapes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Tilapia",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Tilapia"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaTilapia"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.3251533742331287},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.19941234738927979},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.1124118216898538},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.997087200083507E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104457},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Hazelnuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaHazelnuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Tuna",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Tuna"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaTuna"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.5719999999999996},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.21421595478698285},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.1949930062978114},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.997087200083507E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Lemons",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaLemons"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Yoghurt",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Yoghurt"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaYoghurtAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":5.3230431413880028},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.5497376647248537},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.5862668561336248},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000009},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Lentils",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaLentils"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Butter",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Butter"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaButterAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":6.2193438331934958},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.9790656960996849},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.8533644622916616},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000004},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Lettuce",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Catfish",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Catfish"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaCatfish"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.2008368200836821},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.13198610323196339},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.73627788577903552},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.997087200083507E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Litchi",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaLitchi"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Cheese",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Cheese"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaCheeseAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":6.2193438331934958},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.9790656960996849},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.8533644622916616},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000004},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Maize",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaMaize"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaEggsAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.668757866893702},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.15775658827642916},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.3611091686175634},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Mandarins",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaMandarins"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaEggsBackyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.278543403656172},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.14097736635721539},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.2163396027564397},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.37099999999999994},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Mangoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaMangoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Layers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaEggsLayers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.8976470414149436},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.16759882278084257},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.4460270523649441},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Millet",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaMillet"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaMeat (cattle)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":64.793263051902187},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":30.064074056082614},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":18.854839548103534},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Mushrooms",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaMushrooms"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Mycoprotein"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaMeat (cattle)Grass+lot"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":85.315952891049179},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":39.586602141446818},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":24.82694229129531},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Oats",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaOats"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaMeat (cattle)Grassland"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":89.361891321517163},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":41.463917573183963},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":26.004310374561491},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Onions (fresh)",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaOnions (fresh)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaMeat (cattle)Mixed"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":36.338652815037214},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":16.861134906177266},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":10.574547969175828},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Onions, dry",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaOnions, dry"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed+lot",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaMeat (cattle)Mixed+lot"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":35.196766476869811},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":16.331299645267592},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":10.242259044769115},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Oranges",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaOranges"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaMeat (chicken)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.5496996410485853},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.15263708456508915},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.3169385668290252},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Peanuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaPeanuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaMeat (chicken)Backyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.722867639973769},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.16008330851887206},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.3811838944302683},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Pears",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaPears"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaMeat (chicken)Broilers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.1877344712172277},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.13707258226234079},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.1826494888215915},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Peas (dry)",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaPeas (dry)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaMeat (chicken)Layers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":7.0144787630440035},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.3016225868108921},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.6023716210893251},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.299999999999999E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.37099999999999994},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Peppers",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaPeppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaMeat (pig)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":6.7994155822775646},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.6930544799871137},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.7134527267339463},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.249},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.252},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Pineapples",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaPineapples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaMeat (pig)Backyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":7.3269234713797511},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.824403944373558},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.8463847147876973},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.249},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.252},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Pistachios",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaPistachios"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaMeat (pig)Industrial"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":5.9108553503927208},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.4718029822477874},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.4895355482989656},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.24899999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.252},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Potatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaPotatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Intermediate",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaMeat (pig)Intermediate"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":6.3675433909468406},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.5855183043457632},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.6046209345186038},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.249},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.252},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Quinoa",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaQuinoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaMilk (cattle)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":6.2193438331934958},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.9790656960996849},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.8533644622916616},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000004},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Rapeseeds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaRapeseeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaMilk (cattle)Grassland"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":7.7464953102025875},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":3.7105712535870397},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.3084556024403708},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000004},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Raspberries",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaRaspberries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaMilk (cattle)Mixed"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":4.9982840648324327},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.3941780670547352},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.4894886513200649},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47899999999999998},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Rice",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaRice"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.2987400961163784},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.2987400961163784},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":1},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":0},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Salmon",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Salmon"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaSalmon"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.1751638747268753},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.19041734631292095},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0622336573762812},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.997087200083507E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Rye",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaRye"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Shrimp",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Shrimp"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaShrimp"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":6.5409954751131218},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.3922692023960504},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.1882541564909883},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.997087200083507E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Sesame seed",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaSesame seed"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Tilapia",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Tilapia"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaTilapia"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.2781065088757395},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.19659090584889127},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0966725509534836},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.9970872000835063E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Sorghum",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaSorghum"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Tuna",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Tuna"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaTuna"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.5719999999999996},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.21421595478698285},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.1949930062978114},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.997087200083507E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Soybeans",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaSoybeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Yoghurt",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Yoghurt"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaYoghurtAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":6.2193438331934958},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.9790656960996849},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.8533644622916616},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000004},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Spinach",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaSpinach"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Butter",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Butter"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Antigua and BarbudaButterAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.4548944240740376},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.6548944291314642},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0295585383740631},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000009},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Strawberries",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaStrawberries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Catfish",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Catfish"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Antigua and BarbudaCatfish"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.0981949458483755},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.18580145253110708},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0364841244221823},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.9970872000835077E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Sugar cane",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaSugar cane"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Cheese",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Cheese"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Antigua and BarbudaCheeseAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.4548944240740376},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.6548944291314642},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0295585383740631},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000009},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Sunflower seeds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaSunflower seeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Antigua and BarbudaEggsAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.2713474682288362},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":9.7667941133839947E-2},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.84266991071289821},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Sweet peppers",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaSweet peppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Antigua and BarbudaEggsBackyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.3945573379041925},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.10296596552988027},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.88838077236245538},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Sweet potatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaSweet potatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Layers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Antigua and BarbudaEggsLayers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.2614585964211535},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":9.7242719646109588E-2},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.83900113927224795},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Tomatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Antigua and BarbudaMeat (cattle)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":45.744825299714407},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":21.225598939067485},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":13.311744162216891},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46400000000000002},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Walnuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaWalnuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Antigua and BarbudaMeat (cattle)Grass+lot"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":49.167810803233117},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":22.813864212700164},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":14.307832943740836},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Watermelons",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AlgeriaWatermelons"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
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[null,"Antigua and Barbuda",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Antigua and BarbudaMeat (cattle)Mixed"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":43.151237006186236},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":20.022173970870412},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":12.557009968800195},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Almonds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaAlmonds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
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[null,"Antigua and Barbuda",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Antigua and BarbudaMeat (chicken)Backyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":4.584250393201696},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.19712276690767291},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.7007568958778292},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Avocados",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaAvocados"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Antigua and BarbudaMeat (chicken)Broilers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.2683409639202066},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":9.7538661448568875E-2},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.8415544976143966},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Bananas",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaBananas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Antigua and BarbudaMeat (chicken)Layers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":4.5947101486464046},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.19757253639179539},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.704637465147816},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Barley",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaBarley"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Antigua and BarbudaMeat (pig)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":5.1534873986079042},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.2832183622533682},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.2986788244491918},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.249},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.252},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Beans",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaBeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Antigua and BarbudaMeat (pig)Backyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":6.3193850335069452},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.5735268733432293},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.5924850284437502},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.24899999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.252},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Blueberries",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaBlueberries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Antigua and BarbudaMeat (pig)Industrial"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":4.6626282878759664},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.1609944436811157},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.1749823285447436},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.24900000000000003},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.252},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Broccoli",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaBroccoli"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Intermediate",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Antigua and BarbudaMeat (pig)Intermediate"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":5.0769713276636512},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.2641658605882491},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.27939677457124},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.249},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.252},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Buckwheat",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaBuckwheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Antigua and BarbudaMilk (cattle)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.4548944240740376},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.6548944291314642},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0295585383740631},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000009},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Carrots",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaCarrots"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Antigua and BarbudaMilk (cattle)Grassland"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.8847969534404867},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.8608177406979933},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.157669492125265},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000004},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cashew nuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaCashew nuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Antigua and BarbudaMilk (cattle)Mixed"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.1926353358523989},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.5292723258732992},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.95140533008401484},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000004},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cassava",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaCassava"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Salmon",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Salmon"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Antigua and BarbudaSalmon"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":4.491606714628297},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.26936557136106493},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.5026423883037807},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.997087200083507E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cherries",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaCherries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Shrimp",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Shrimp"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Antigua and BarbudaShrimp"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.0546021840873636},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.18318715659537452},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.021900405096982},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.997087200083507E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104468},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Chickpeas",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaChickpeas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Tilapia",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Tilapia"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Antigua and BarbudaTilapia"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":1.997134670487106},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.11976990769221216},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.66813044901091145},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.997087200083507E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cocoa",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaCocoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Tuna",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Tuna"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Antigua and BarbudaTuna"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.5719999999999996},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.21421595478698285},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.1949930062978114},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.997087200083507E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Coconuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaCoconuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Yoghurt",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Yoghurt"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Antigua and BarbudaYoghurtAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.4548944240740376},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.6548944291314642},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0295585383740631},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000009},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Coffee",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaCoffee"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Argentina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Butter",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Butter"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArgentinaButterAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.4548944240740376},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.6548944291314642},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0295585383740631},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000009},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cotton",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaCotton"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Cotton"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Argentina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Catfish",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Catfish"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArgentinaCatfish"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.0981949458483755},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.18580145253110708},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0364841244221823},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.9970872000835077E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cucumbers",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaCucumbers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Argentina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Cheese",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Cheese"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArgentinaCheeseAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.4548944240740376},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.6548944291314642},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0295585383740631},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000009},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Flour",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaFlour"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Flour"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Based proportionally on Wheat EF"}]
[null,"Argentina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArgentinaEggsAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.2713474682288362},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":9.7667941133839947E-2},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.84266991071289821},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Garlic (green)",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaGarlic (green)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Argentina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArgentinaEggsBackyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.3945573379041925},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.10296596552988027},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.88838077236245538},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Ginger",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaGinger"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Argentina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Layers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArgentinaEggsLayers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.2614585964211535},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":9.7242719646109588E-2},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.83900113927224795},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Grapes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaGrapes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Argentina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArgentinaMeat (cattle)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":45.744825299714407},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":21.225598939067485},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":13.311744162216891},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46400000000000002},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Hazelnuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaHazelnuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Argentina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArgentinaMeat (cattle)Grass+lot"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":49.167810803233117},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":22.813864212700164},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":14.307832943740836},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Lemons",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaLemons"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Argentina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArgentinaMeat (cattle)Grassland"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":52.839027838490821},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":24.51730891705974},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":15.376157101000828},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Lentils",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaLentils"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Argentina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArgentinaMeat (cattle)Mixed"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":43.151237006186236},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":20.022173970870412},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":12.557009968800195},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Lettuce",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Argentina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed+lot",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArgentinaMeat (cattle)Mixed+lot"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":41.344387653408404},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":19.183795871181498},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":12.031216807141845},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Litchi",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaLitchi"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Argentina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArgentinaMeat (chicken)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.3298162625485288},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.10018209928958673},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.86436183340550421},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Maize",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaMaize"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Argentina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArgentinaMeat (chicken)Backyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":4.584250393201696},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.19712276690767291},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.7007568958778292},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Mandarins",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaMandarins"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Argentina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArgentinaMeat (chicken)Broilers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.2683409639202066},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":9.7538661448568875E-2},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.8415544976143966},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Mangoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaMangoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Argentina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArgentinaMeat (chicken)Layers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":4.5947101486464046},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.19757253639179539},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.704637465147816},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Millet",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaMillet"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Argentina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArgentinaMeat (pig)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":5.1534873986079042},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.2832183622533682},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.2986788244491918},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.249},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.252},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Mushrooms",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaMushrooms"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Mycoprotein"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Argentina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArgentinaMeat (pig)Backyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":6.3193850335069452},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.5735268733432293},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.5924850284437502},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.24899999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.252},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Oats",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaOats"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Argentina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArgentinaMeat (pig)Industrial"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":4.6626282878759664},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.1609944436811157},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.1749823285447436},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.24900000000000003},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.252},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Onions (fresh)",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaOnions (fresh)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Argentina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Intermediate",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArgentinaMeat (pig)Intermediate"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":5.0769713276636512},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.2641658605882491},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.27939677457124},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.249},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.252},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Onions, dry",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaOnions, dry"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Argentina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArgentinaMilk (cattle)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.4548944240740376},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.6548944291314642},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0295585383740631},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000009},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Oranges",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaOranges"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Argentina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArgentinaMilk (cattle)Grassland"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.8847969534404867},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.8608177406979933},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.157669492125265},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000004},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Peanuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaPeanuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Argentina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArgentinaMilk (cattle)Mixed"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.1926353358523989},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.5292723258732992},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.95140533008401484},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000004},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Pears",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaPears"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Argentina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Salmon",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Salmon"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArgentinaSalmon"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":4.491606714628297},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.26936557136106493},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.5026423883037807},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.997087200083507E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Peas (dry)",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaPeas (dry)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Argentina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Shrimp",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Shrimp"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArgentinaShrimp"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.0546021840873636},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.18318715659537452},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.021900405096982},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.997087200083507E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104468},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Peppers",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaPeppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Argentina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Tilapia",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Tilapia"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArgentinaTilapia"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":1.997134670487106},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.11976990769221216},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.66813044901091145},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.997087200083507E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Pineapples",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaPineapples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Argentina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Tuna",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Tuna"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArgentinaTuna"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.5719999999999996},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.21421595478698285},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.1949930062978114},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.997087200083507E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Pistachios",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaPistachios"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Argentina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Yoghurt",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Yoghurt"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArgentinaYoghurtAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.4548944240740376},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.6548944291314642},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0295585383740631},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000009},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Potatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaPotatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Armenia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Butter",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Butter"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArmeniaButterAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":1.4721386790592628},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.70515442726938693},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.4386973263596603},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000004},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Quinoa",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaQuinoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Armenia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Catfish",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Catfish"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArmeniaCatfish"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.0981949458483755},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.18580145253110708},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0364841244221823},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.9970872000835077E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Rapeseeds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaRapeseeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Armenia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Cheese",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Cheese"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArmeniaCheeseAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":1.4721386790592628},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.70515442726938693},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.4386973263596603},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000004},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Raspberries",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaRaspberries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Armenia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArmeniaEggsAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.0385450289007188},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":8.7657436242730896E-2},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.75630020572216661},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Rice",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaRice"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.69},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.69},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":1},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":0},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Capped to CLUNE's MIN/MAX"}]
[null,"Armenia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArmeniaEggsBackyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.0154536327654862},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":8.6664506208915901E-2},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.7477332977559954},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Rye",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaRye"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Armenia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Layers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArmeniaEggsLayers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.0520944528994476},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":8.8240061474676237E-2},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.76132704202569501},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sesame seed",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaSesame seed"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Armenia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArmeniaMeat (cattle)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":15.109225243996958},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":7.010680513214588},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":4.3967845460031141},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999993},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sorghum",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaSorghum"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Armenia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArmeniaMeat (cattle)Grass+lot"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":15.773158374897619},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":7.318745485952495},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":4.5899890870952067},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Soybeans",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaSoybeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Armenia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArmeniaMeat (cattle)Grassland"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":15.773158374897619},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":7.318745485952495},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":4.5899890870952067},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Spinach",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaSpinach"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Armenia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArmeniaMeat (cattle)Mixed"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":14.920059545901616},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":6.9229076292983489},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":4.3417373278573699},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Strawberries",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaStrawberries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Armenia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed+lot",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArmeniaMeat (cattle)Mixed+lot"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":14.920059545901616},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":6.9229076292983489},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":4.3417373278573699},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sugar cane",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaSugar cane"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Armenia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArmeniaMeat (chicken)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.5856904546661745},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.11118468955064549},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.95929115868115078},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sunflower seeds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaSunflower seeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Armenia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArmeniaMeat (chicken)Backyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.583275007163409},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.15408082530802658},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.3293950276576247},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sweet peppers",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaSweet peppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Armenia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArmeniaMeat (chicken)Broilers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.4763878510385999},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.10648467759465979},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.91873989273532053},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sweet potatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaSweet potatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Armenia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ArmeniaMeat (chicken)Layers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.5941775618787677},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.15454963516078699},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.3334398754570227},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.299999999999999E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.37099999999999994},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Tomatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Austria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AustriaMeat (cattle)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":15.109225243996958},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":7.010680513214588},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":4.3967845460031141},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999993},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Pineapples",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaPineapples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Bangladesh",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Cheese",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Cheese"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BangladeshCheeseAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":4.4613104052590336},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.1369676841190772},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.3294705007671919},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000004},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Sunflower seeds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaSunflower seeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Belgium",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BelgiumMeat (pig)Backyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":4.946540910711847},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.2316886867672499},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.2465283094993855},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.249},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.252},"Direct livestock Emission Factor calculation",null,null,"Armenia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Watermelons",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArmeniaWatermelons"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Benin",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Tilapia",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Tilapia"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BeninTilapia"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.2781065088757395},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.19659090584889127},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0966725509534836},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.9970872000835063E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"Australia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Walnuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AustraliaWalnuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Bulgaria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BulgariaMeat (chicken)Broilers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.4763878510385999},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.10648467759465979},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.91873989273532053},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Ginger",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasGinger"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Cabo Verde",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Butter",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Butter"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Cabo VerdeButterAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":6.2193438331934958},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.9790656960996849},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.8533644622916616},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000004},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Lettuce",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Cameroon",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"CameroonMeat (cattle)Grassland"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":89.361891321517163},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":41.463917573183963},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":26.004310374561491},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Lentils",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BarbadosLentils"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Central African Republic",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Salmon",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Salmon"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Central African RepublicSalmon"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.1751638747268753},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.19041734631292095},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0622336573762812},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.997087200083507E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"Belgium",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Mangoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BelgiumMangoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"China",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ChinaEggsAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":4.3883410283525075},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.18869866421915782},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.6280745215187802},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Belize",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Mandarins",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BelizeMandarins"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Cote d'Ivoire",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Cote d'IvoireMilk (cattle)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":6.2193438331934958},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.9790656960996849},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.8533644622916616},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000004},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Bhutan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Sugar cane",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BhutanSugar cane"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Czech Republic",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Czech RepublicMeat (cattle)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":15.109225243996958},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":7.010680513214588},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":4.3967845460031141},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999993},"Direct livestock Emission Factor calculation",null,null,"Bolivia (Plurinational State of)",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Walnuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Bolivia (Plurinational State of)Walnuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Denmark",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"DenmarkMeat (chicken)Layers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.5941775618787677},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.15454963516078699},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.3334398754570227},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.299999999999999E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.37099999999999994},"Direct livestock Emission Factor calculation",null,null,"Bosnia and Herzegovina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Tomatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Bosnia and HerzegovinaTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Ecuador",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Catfish",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Catfish"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"EcuadorCatfish"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.0981949458483755},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.18580145253110708},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0364841244221823},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.9970872000835077E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"Brazil",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Apples",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BrazilApples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"El Salvador",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"El SalvadorMeat (pig)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":5.1534873986079042},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.2832183622533682},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.2986788244491918},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.249},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.252},"Direct livestock Emission Factor calculation",null,null,"Bulgaria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Beans",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BulgariaBeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Ethiopia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Tuna",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Tuna"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"EthiopiaTuna"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.5719999999999996},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.21421595478698285},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.1949930062978114},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.997087200083507E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"Burundi",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Lemons",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BurundiLemons"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"France",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"FranceMeat (chicken)Backyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.583275007163409},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.15408082530802658},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.3293950276576247},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Cabo Verde",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Mandarins",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Cabo VerdeMandarins"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Gambia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"GambiaMilk (cattle)Grassland"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":7.7464953102025875},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":3.7105712535870397},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.3084556024403708},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000004},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Cambodia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Maize",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"CambodiaMaize"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Ghana",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"GhanaMeat (cattle)Grass+lot"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":85.315952891049179},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":39.586602141446818},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":24.82694229129531},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Cameroon",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Oats",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"CameroonOats"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Guinea-Bissau",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Shrimp",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Shrimp"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Guinea-BissauShrimp"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.0546021840873636},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.18318715659537452},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.021900405096982},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.997087200083507E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104468},"Direct livestock Emission Factor calculation",null,null,"Central African Republic",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Tomatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Central African RepublicTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Honduras",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"HondurasEggsBackyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.3945573379041925},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.10296596552988027},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.88838077236245538},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Chad",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sweet potatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ChadSweet potatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Iceland",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Intermediate",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"IcelandMeat (pig)Intermediate"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":4.4251524491875891},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.1018629598477097},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.1151384171952725},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.249},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.252},"Direct livestock Emission Factor calculation",null,null,"China",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Almonds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ChinaAlmonds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Indonesia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Yoghurt",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Yoghurt"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"IndonesiaYoghurtAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.3966089421343786},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.1479756832823673},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.71418946475604483},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47899999999999998},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"China",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Wheat",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ChinaWheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Jamaica",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"JamaicaMeat (chicken)Broilers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.2683409639202066},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":9.7538661448568875E-2},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.8415544976143966},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Comoros",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Bananas",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ComorosBananas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Lao People's Democratic Republic",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Cheese",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Cheese"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Lao People's Democratic RepublicCheeseAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.3966089421343786},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.1479756832823673},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.71418946475604483},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47899999999999998},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Costa Rica",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Maize",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Costa RicaMaize"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Lebanon",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed+lot",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"LebanonMeat (cattle)Mixed+lot"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":30.881110884779254},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":14.328835450537573},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":8.986403267470763},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Cote d'Ivoire",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Litchi",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Cote d'IvoireLitchi"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Liberia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Tilapia",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Tilapia"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"LiberiaTilapia"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.2781065088757395},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.19659090584889127},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0966725509534836},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.9970872000835063E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"Croatia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Mushrooms",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"CroatiaMushrooms"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Mycoprotein"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Madagascar",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"MadagascarMeat (chicken)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.5496996410485853},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.15263708456508915},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.3169385668290252},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Cyprus",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Peanuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"CyprusPeanuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Malaysia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"MalaysiaMilk (cattle)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.3966089421343786},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.1479756832823673},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.71418946475604483},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47899999999999998},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},{"$f":"\"Direct livestock Emission Factor calculation\"","v":"Direct livestock Emission Factor calculation"},null,null,"Czech Republic",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Oranges",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Czech RepublicOranges"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Mauritius",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"MauritiusMeat (cattle)Grassland"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":89.361891321517163},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":41.463917573183963},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":26.004310374561491},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Denmark",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Wheat",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"DenmarkWheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Micronesia (Federated States of)",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Micronesia (Federated States of)Meat (pig)Backyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":6.6617276401577259},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.6587701823992738},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.6787553653197469},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.249},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.252},"Direct livestock Emission Factor calculation",null,null,"Dominica",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Watermelons",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"DominicaWatermelons"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Morocco",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"MoroccoEggsAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.7351172483352548},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.11761004167841595},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0147284991323795},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Ecuador",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Avocados",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"EcuadorAvocados"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Myanmar",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"MyanmarMeat (pig)Industrial"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":8.6400938847552577},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.1513833773040592},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.177303658958325},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.249},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.252},"Direct livestock Emission Factor calculation",null,null,"Egypt",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Broccoli",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"EgyptBroccoli"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Nepal",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Tuna",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Tuna"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"NepalTuna"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.5719999999999996},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.21421595478698285},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.1949930062978114},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.997087200083507E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"El Salvador",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Blueberries",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"El SalvadorBlueberries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Norway",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"NorwayMeat (chicken)Layers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.5941775618787677},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.15454963516078699},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.3334398754570227},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.299999999999999E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.37099999999999994},"Direct livestock Emission Factor calculation",null,null,"Eritrea",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Millet",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"EritreaMillet"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Papua New Guinea",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Catfish",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Catfish"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Papua New GuineaCatfish"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.2455882352941177},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.1946407566262397},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0857937409011551},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.997087200083507E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"Estonia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Oranges",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"EstoniaOranges"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Peru",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"PeruMeat (cattle)Mixed"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":43.151237006186236},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":20.022173970870412},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":12.557009968800195},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Eswatini",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Onions, dry",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"EswatiniOnions, dry"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Poland",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Shrimp",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Shrimp"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"PolandShrimp"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":6.5409954751131218},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.3922692023960504},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.1882541564909883},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.997087200083507E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"Ethiopia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Peppers",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"EthiopiaPeppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Samoa",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"SamoaMeat (cattle)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":52.370325182306104},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":24.29983088459003},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":15.239764628051075},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Finland",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Walnuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"FinlandWalnuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Senegal",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"SenegalMilk (cattle)Grassland"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":7.7464953102025875},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":3.7105712535870397},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.3084556024403708},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000004},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Gabon",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Asparagus",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"GabonAsparagus"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Slovakia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"SlovakiaMeat (cattle)Grass+lot"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":15.773158374897619},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":7.318745485952495},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":4.5899890870952067},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Gambia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Blueberries",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"GambiaBlueberries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Solomon Islands",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Solomon IslandsMeat (pig)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":7.4296259047727107},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.8499768502884049},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.8722657280027231},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.249},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.252},"Direct livestock Emission Factor calculation",null,null,"Georgia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Beans",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"GeorgiaBeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"South Sudan",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed+lot",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"South SudanMeat (cattle)Mixed+lot"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":35.196766476869811},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":16.331299645267592},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":10.242259044769115},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Germany",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Cucumbers",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"GermanyCucumbers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Switzerland",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"SwitzerlandMeat (chicken)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.5856904546661745},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.11118468955064549},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.95929115868115078},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Greece",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Maize",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"GreeceMaize"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Thailand",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Tuna",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Tuna"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ThailandTuna"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.5719999999999996},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.21421595478698285},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.1949930062978114},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.997087200083507E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"Grenada",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Oats",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"GrenadaOats"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Tonga",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"TongaMeat (chicken)Backyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":6.4721322494652176},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.27830168672700434},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.4011610645515957},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Guatemala",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Pears",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"GuatemalaPears"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Tunisia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"TunisiaMilk (cattle)Grassland"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":7.9318306556209075},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":3.7993468840424152},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.3636855353750303},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000004},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Guinea",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Peanuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"GuineaPeanuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Tuvalu",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"TuvaluMeat (cattle)Grass+lot"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":51.377269527955306},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":23.83905306097126},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":14.950785432634992},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.46399999999999997},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29099999999999998},"Direct livestock Emission Factor calculation",null,null,"Guinea-Bissau",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Pistachios",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Guinea-BissauPistachios"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"United States of America",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"North America"},"Shrimp",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Shrimp"},null,{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"United States of AmericaShrimp"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":4.5199999999999996},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.27106834144377451},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.5121412061775215},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":5.9970872000835077E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.33454451464104462},"Direct livestock Emission Factor calculation",null,null,"Honduras",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Barley",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"HondurasBarley"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Vanuatu",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"VanuatuEggsBackyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":6.0542855964569329},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.26033428064764808},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.2461399562855222},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":4.2999999999999997E-2},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.371},"Direct livestock Emission Factor calculation",null,null,"Hungary",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Bananas",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"HungaryBananas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Viet Nam",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Intermediate",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Viet NamMeat (pig)Intermediate"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":8.4566167766064542},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.1056975773750071},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.1310674277048265},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.249},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.252},"Direct livestock Emission Factor calculation",null,null,"Iceland",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Buckwheat",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"IcelandBuckwheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Zambia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Yoghurt",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Yoghurt"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ZambiaYoghurtAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":6.2193438331934958},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.9790656960996849},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.8533644622916616},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000004},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"India",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Broccoli",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"IndiaBroccoli"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Dominica",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Yoghurt",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Yoghurt"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"DominicaYoghurtGrassland"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.8847969534404867},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.8608177406979933},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.157669492125265},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000004},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Indonesia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Cherries",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"IndonesiaCherries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Comoros",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Yoghurt",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Yoghurt"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ComorosYoghurtMixed"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":4.9982840648324327},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.3941780670547352},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.4894886513200649},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47899999999999998},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Italy",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Peanuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ItalyPeanuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Mauritius",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Yoghurt",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Yoghurt"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"MauritiusYoghurtMixed"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":4.9982840648324327},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.3941780670547352},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.4894886513200649},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47899999999999998},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Jamaica",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Oranges",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"JamaicaOranges"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Butter",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Butter"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AngolaButterGrassland"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":7.7464953102025875},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":3.7105712535870397},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.3084556024403708},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000004},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Japan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Pineapples",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"JapanPineapples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Guyana",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Butter",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Butter"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"GuyanaButterGrassland"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.8847969534404867},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.8608177406979933},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.157669492125265},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000004},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Kazakhstan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Peppers",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"KazakhstanPeppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"South Sudan",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Butter",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Butter"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"South SudanButterGrassland"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":7.7464953102025875},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":3.7105712535870397},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.3084556024403708},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000004},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Kenya",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Rapeseeds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"KenyaRapeseeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Sao Tome and Principe",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Butter",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Butter"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Sao Tome and PrincipeButterMixed"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":4.9982840648324327},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.3941780670547352},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.4894886513200649},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47899999999999998},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Lao People's Democratic Republic",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Broccoli",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Lao People's Democratic RepublicBroccoli"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Cameroon",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Cheese",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Cheese"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"CameroonCheeseGrassland"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":7.7464953102025875},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":3.7105712535870397},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.3084556024403708},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000004},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Latvia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Blueberries",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"LatviaBlueberries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Mauritania",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Cheese",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Cheese"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"MauritaniaCheeseGrassland"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":7.7464953102025875},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":3.7105712535870397},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.3084556024403708},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000004},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Lebanon",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Cassava",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"LebanonCassava"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Algeria",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Cheese",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Cheese"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"AlgeriaCheeseMixed"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.6077323256748368},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.7281037839982469},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0751042330511014},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000004},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},{"$f":"\"Direct livestock Emission Factor calculation\"","v":"Direct livestock Emission Factor calculation"},null,null,"Lesotho",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Coffee",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"LesothoCoffee"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,"Turkmenistan",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Cheese",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Cheese"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"TurkmenistanCheeseMixed"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":1.4635216581385981},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.70102687424838861},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]], AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.43612945412530224},{"$f":"AnimalEF[[#This Row],[CH4 EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.47900000000000009},{"$f":"AnimalEF[[#This Row],[N2O EF (tonneCO2e/tonne)]]/AnimalEF[[#This Row],[EF (tonneCO2e/tonne)]]","v":0.29799999999999999},"Direct livestock Emission Factor calculation",null,null,"Lithuania",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Onions, dry",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"LithuaniaOnions, dry"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Luxembourg",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Peppers",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"LuxembourgPeppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Madagascar",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Peas (dry)",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"MadagascarPeas (dry)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Malawi",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Quinoa",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"MalawiQuinoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Malaysia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Sesame seed",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"MalaysiaSesame seed"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Malta",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Beans",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"MaltaBeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Marshall Islands",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Cashew nuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Marshall IslandsCashew nuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Mauritania",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Coconuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"MauritaniaCoconuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Mauritius",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cocoa",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"MauritiusCocoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Mexico",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Flour",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"MexicoFlour"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Flour"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Based proportionally on Wheat EF"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Moldova",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Pears",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"MoldovaPears"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Mongolia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Potatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"MongoliaPotatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Morocco",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Rye",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"MoroccoRye"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Mozambique",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Rice",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"MozambiqueRice"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.5438503642039545},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.5438503642039545},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":1},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":0},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Myanmar",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Spinach",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"MyanmarSpinach"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Netherlands",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Buckwheat",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"NetherlandsBuckwheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"New Zealand",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Chickpeas",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"New ZealandChickpeas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Nicaragua",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Cucumbers",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"NicaraguaCucumbers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Niger",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cotton",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"NigerCotton"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Cotton"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Nigeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Grapes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"NigeriaGrapes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Pakistan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Rice",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"PakistanRice"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.0253245452029296},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.0253245452029296},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":1},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":0},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Panama",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Raspberries",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"PanamaRaspberries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Paraguay",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Hazelnuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ParaguayHazelnuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Paraguay",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Sesame seed",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ParaguaySesame seed"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Poland",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Cassava",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"PolandCassava"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Portugal",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Coffee",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"PortugalCoffee"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Romania",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Coconuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"RomaniaCoconuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Rwanda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Garlic (green)",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"RwandaGarlic (green)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Saint Kitts and Nevis",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Lentils",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Saint Kitts and NevisLentils"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Samoa",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Quinoa",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"SamoaQuinoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sao Tome and Principe",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sesame seed",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Sao Tome and PrincipeSesame seed"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Senegal",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Rye",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"SenegalRye"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Seychelles",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Strawberries",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"SeychellesStrawberries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sierra Leone",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Tomatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Sierra LeoneTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Slovenia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Cocoa",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"SloveniaCocoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Solomon Islands",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Flour",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Solomon IslandsFlour"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Flour"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Based proportionally on Wheat EF"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Somalia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cucumbers",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"SomaliaCucumbers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"South Africa",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Hazelnuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"South AfricaHazelnuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"South Sudan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Maize",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"South SudanMaize"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sri Lanka",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Rice",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Sri LankaRice"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.70293902971161093},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.70293902971161093},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":1},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":0},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sudan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Spinach",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"SudanSpinach"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sweden",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Sweet potatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"SwedenSweet potatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Switzerland",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Sweet peppers",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"SwitzerlandSweet peppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Tajikistan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Wheat",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"TajikistanWheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Togo",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cotton",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"TogoCotton"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Cotton"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Tonga",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Grapes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"TongaGrapes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Trinidad and Tobago",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Litchi",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Trinidad and TobagoLitchi"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Tunisia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Lettuce",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"TunisiaLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Turkey",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Millet",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"TurkeyMillet"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Turkmenistan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Sorghum",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"TurkmenistanSorghum"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Tuvalu",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Sunflower seeds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"TuvaluSunflower seeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Uganda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Watermelons",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"UgandaWatermelons"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Ukraine",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Walnuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"UkraineWalnuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"United States of America",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"North America"},"Ginger",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"United States of AmericaGinger"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Uruguay",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Lettuce",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"UruguayLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Uzbekistan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Lentils",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"UzbekistanLentils"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Vanuatu",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Mangoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"VanuatuMangoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Venezuela (Bolivarian Republic of)",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Mandarins",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Venezuela (Bolivarian Republic of)Mandarins"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Yemen",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Sugar cane",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"YemenSugar cane"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Zambia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Walnuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ZambiaWalnuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Zimbabwe",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Tomatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ZimbabweTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Haiti",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Olives",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"HaitiOlives"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Spain",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Olives",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"SpainOlives"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Romania",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"RomaniaPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Somalia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"SomaliaPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"South Africa",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"South AfricaPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"South Sudan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"South SudanPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Spain",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"SpainPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sri Lanka",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Sri LankaPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sudan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"SudanPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sweden",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"SwedenPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Switzerland",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"SwitzerlandPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Tajikistan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"TajikistanPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Thailand",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ThailandPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Timor-Leste",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Timor-LestePalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Togo",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"TogoPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Tonga",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"TongaPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Trinidad and Tobago",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Trinidad and TobagoPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Tunisia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"TunisiaPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Turkey",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"TurkeyPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Turkmenistan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"TurkmenistanPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Tuvalu",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"TuvaluPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Uganda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"UgandaPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Ukraine",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"UkrainePalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"United Kingdom",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"United KingdomPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"United Republic of Tanzania",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"United Republic of TanzaniaPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"United States of America",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"North America"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"United States of AmericaPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Uruguay",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"UruguayPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Uzbekistan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"UzbekistanPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Vanuatu",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"VanuatuPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Venezuela (Bolivarian Republic of)",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Venezuela (Bolivarian Republic of)Palm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Viet Nam",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Viet NamPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Yemen",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"YemenPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Zambia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ZambiaPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Zimbabwe",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Palm fruit",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ZimbabwePalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Crops_Summary[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from CH4 (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"GHG_Crops_Summary[[#This Row],[EF total CO2e from N2O (tCO2e/t)]]/GHG_Crops_Summary[[#This Row],[EF total CO2e (tCO2e/t)]]","v":{"$error":"#N/A"}},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":{"$error":"#N/A"}}]

{"sheet":"GHG UPDATE","index":67,"n_rows":10532,"n_cols":19,"rows_kept":281,"cut":true,"hidden":true,"merged":[[3,1,3,7],[3,9,3,19],[1,1,1,15]],"bounds":{"rows_first":125,"rows_last":31,"rows_between":125,"halvings":4}}
[]
[null,"Guidance: This worksheet should be used when updated emission factors have been found (i.e. more recent, more reliable for target country, etc.). Any value saved in columns H for Animal Proteins or P, Q, T for non-animal proteins (crops & flour) will supersede any EF value from tool's internal EF database. For non-animal proteins (crops & flour), you can enter values in columns P & Q for methane and Nitrous Oxide emissions. The tool will autocalculate their emissions into CO2e. Otherwise you can enter the CO2e value directly at column T, by erasing the formula there and putting a value.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"CH4 to CO2e (AR5)","N2O to CO2e (AR5)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,28,265]
[null,"Emission Factors: Animal Proteins",null,null,null,null,null,null,null,"Emission factors: ALL non animal proteins (crops & flour)"]
[]
[null,"Country","Region","Animal Protein","Name Discrepancies","Farm system","CONCAT","EF (tonneCO2e/tonne)",null,"Country","Region","Crop","CONCAT","Category","EF (tCH4/t)","EF (tN2O/t)","EF (tCO2e/t) (from CH4) (AR5)","EF (tCO2e/t) (from N2O) (AR5)","EF (tCO2e/t)"]
[null,"Algeria",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Catfish",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Catfish"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AlgeriaCatfish"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Almonds",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaAlmonds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Algeria",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AlgeriaEggsAggregated"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Apples",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaApples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Algeria",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AlgeriaEggsBackyard"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Asparagus",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaAsparagus"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Algeria",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Layers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AlgeriaEggsLayers"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Avocados",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaAvocados"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Algeria",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AlgeriaMeat (cattle)Aggregated"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Bananas",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaBananas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Algeria",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AlgeriaMeat (cattle)Grass+lot"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Barley",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaBarley"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Algeria",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AlgeriaMeat (cattle)Grassland"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Beans",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaBeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Algeria",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AlgeriaMeat (cattle)Mixed"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Blueberries",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaBlueberries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Algeria",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed+lot",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AlgeriaMeat (cattle)Mixed+lot"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Broccoli",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaBroccoli"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Algeria",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AlgeriaMeat (chicken)Aggregated"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Buckwheat",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaBuckwheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Algeria",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AlgeriaMeat (chicken)Backyard"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Carrots",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaCarrots"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Algeria",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AlgeriaMeat (chicken)Broilers"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Cashew nuts",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaCashew nuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Algeria",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AlgeriaMeat (chicken)Layers"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Cassava",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaCassava"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Algeria",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AlgeriaMeat (pig)Aggregated"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Cherries",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaCherries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Algeria",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AlgeriaMeat (pig)Backyard"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Chickpeas",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaChickpeas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Algeria",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AlgeriaMeat (pig)Industrial"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Cocoa",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaCocoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Algeria",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Intermediate",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AlgeriaMeat (pig)Intermediate"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Coconuts",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaCoconuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Algeria",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AlgeriaMilk (cattle)Aggregated"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Coffee",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaCoffee"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Algeria",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AlgeriaMilk (cattle)Grassland"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Cotton",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaCotton"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Cotton"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Algeria",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AlgeriaMilk (cattle)Mixed"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Cucumbers",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaCucumbers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Algeria",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Salmon",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Salmon"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AlgeriaSalmon"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Flour",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaFlour"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Flour"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Algeria",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Shrimp",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Shrimp"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AlgeriaShrimp"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Garlic (green)",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaGarlic (green)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Algeria",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Tilapia",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Tilapia"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AlgeriaTilapia"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Ginger",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaGinger"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Algeria",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Tuna",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Tuna"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AlgeriaTuna"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Grapes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaGrapes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Angola",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Catfish",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Catfish"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AngolaCatfish"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Hazelnuts",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaHazelnuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Angola",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AngolaEggsAggregated"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Lemons",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaLemons"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Angola",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AngolaEggsBackyard"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Lentils",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaLentils"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Angola",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Layers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AngolaEggsLayers"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Lettuce",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Angola",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AngolaMeat (cattle)Aggregated"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Litchi",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaLitchi"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Angola",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AngolaMeat (cattle)Grass+lot"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Maize",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaMaize"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Angola",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AngolaMeat (cattle)Grassland"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Mandarins",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaMandarins"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Angola",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AngolaMeat (cattle)Mixed"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Mangoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaMangoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Angola",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed+lot",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AngolaMeat (cattle)Mixed+lot"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Millet",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaMillet"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Angola",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AngolaMeat (chicken)Aggregated"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Mushrooms",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaMushrooms"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Mycoprotein"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Angola",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AngolaMeat (chicken)Backyard"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Oats",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaOats"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Angola",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AngolaMeat (chicken)Broilers"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Onions (fresh)",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaOnions (fresh)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Angola",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AngolaMeat (chicken)Layers"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Onions, dry",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaOnions, dry"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Angola",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AngolaMeat (pig)Aggregated"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Oranges",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaOranges"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Angola",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AngolaMeat (pig)Backyard"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Peanuts",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaPeanuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Angola",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AngolaMeat (pig)Industrial"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Pears",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaPears"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Angola",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Intermediate",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AngolaMeat (pig)Intermediate"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Peas (dry)",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaPeas (dry)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Angola",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AngolaMilk (cattle)Aggregated"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Peppers",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaPeppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Angola",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AngolaMilk (cattle)Grassland"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Pineapples",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaPineapples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Angola",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AngolaMilk (cattle)Mixed"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Pistachios",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaPistachios"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Angola",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Salmon",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Salmon"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AngolaSalmon"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Potatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaPotatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Angola",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Shrimp",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Shrimp"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AngolaShrimp"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Quinoa",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaQuinoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Angola",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Tilapia",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Tilapia"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AngolaTilapia"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Rapeseeds",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaRapeseeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Angola",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Tuna",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Tuna"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AngolaTuna"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Raspberries",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaRaspberries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Catfish",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Catfish"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Antigua and BarbudaCatfish"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Rice",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaRice"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Antigua and BarbudaEggsAggregated"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Rye",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaRye"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Antigua and BarbudaEggsBackyard"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Sesame seed",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaSesame seed"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Layers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Antigua and BarbudaEggsLayers"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Sorghum",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaSorghum"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Antigua and BarbudaMeat (cattle)Aggregated"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Soybeans",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaSoybeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Antigua and BarbudaMeat (cattle)Grass+lot"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Spinach",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaSpinach"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Antigua and BarbudaMeat (cattle)Grassland"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Strawberries",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaStrawberries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Antigua and BarbudaMeat (cattle)Mixed"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Sugar cane",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaSugar cane"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed+lot",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Antigua and BarbudaMeat (cattle)Mixed+lot"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Sunflower seeds",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaSunflower seeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Antigua and BarbudaMeat (chicken)Aggregated"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Sweet peppers",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaSweet peppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Antigua and BarbudaMeat (chicken)Backyard"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Sweet potatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaSweet potatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Antigua and BarbudaMeat (chicken)Broilers"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Tomatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Antigua and BarbudaMeat (chicken)Layers"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Walnuts",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaWalnuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Antigua and BarbudaMeat (pig)Aggregated"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Watermelons",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaWatermelons"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Antigua and BarbudaMeat (pig)Backyard"},null,null,"Algeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Wheat",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AlgeriaWheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Antigua and BarbudaMeat (pig)Industrial"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Almonds",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaAlmonds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Intermediate",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Antigua and BarbudaMeat (pig)Intermediate"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Apples",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaApples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Antigua and BarbudaMilk (cattle)Aggregated"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Asparagus",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaAsparagus"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Antigua and BarbudaMilk (cattle)Grassland"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Avocados",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaAvocados"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Antigua and BarbudaMilk (cattle)Mixed"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Bananas",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaBananas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Salmon",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Salmon"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Antigua and BarbudaSalmon"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Barley",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaBarley"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Shrimp",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Shrimp"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Antigua and BarbudaShrimp"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Beans",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaBeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Tilapia",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Tilapia"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Antigua and BarbudaTilapia"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Blueberries",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaBlueberries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Tuna",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Tuna"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Antigua and BarbudaTuna"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Broccoli",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaBroccoli"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Argentina",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Catfish",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Catfish"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArgentinaCatfish"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Buckwheat",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaBuckwheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Argentina",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArgentinaEggsAggregated"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Carrots",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaCarrots"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Argentina",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArgentinaEggsBackyard"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cashew nuts",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaCashew nuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Argentina",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Layers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArgentinaEggsLayers"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cassava",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaCassava"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Argentina",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArgentinaMeat (cattle)Aggregated"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cherries",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaCherries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Argentina",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArgentinaMeat (cattle)Grass+lot"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Chickpeas",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaChickpeas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Argentina",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArgentinaMeat (cattle)Grassland"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cocoa",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaCocoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Argentina",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArgentinaMeat (cattle)Mixed"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Coconuts",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaCoconuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Argentina",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed+lot",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArgentinaMeat (cattle)Mixed+lot"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Coffee",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaCoffee"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Argentina",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArgentinaMeat (chicken)Aggregated"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cotton",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaCotton"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Cotton"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Argentina",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArgentinaMeat (chicken)Backyard"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cucumbers",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaCucumbers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Argentina",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArgentinaMeat (chicken)Broilers"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Flour",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaFlour"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Flour"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Argentina",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArgentinaMeat (chicken)Layers"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Garlic (green)",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaGarlic (green)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Argentina",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArgentinaMeat (pig)Aggregated"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Ginger",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaGinger"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Argentina",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArgentinaMeat (pig)Backyard"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Grapes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaGrapes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Argentina",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArgentinaMeat (pig)Industrial"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Hazelnuts",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaHazelnuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Argentina",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Intermediate",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArgentinaMeat (pig)Intermediate"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Lemons",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaLemons"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Argentina",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArgentinaMilk (cattle)Aggregated"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Lentils",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaLentils"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Argentina",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArgentinaMilk (cattle)Grassland"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Lettuce",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Argentina",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArgentinaMilk (cattle)Mixed"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Litchi",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaLitchi"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Argentina",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Salmon",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Salmon"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArgentinaSalmon"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Maize",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaMaize"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Argentina",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Shrimp",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Shrimp"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArgentinaShrimp"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Mandarins",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaMandarins"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Argentina",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Tilapia",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Tilapia"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArgentinaTilapia"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Mangoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaMangoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Argentina",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Tuna",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Tuna"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArgentinaTuna"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Millet",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaMillet"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Armenia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Catfish",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Catfish"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArmeniaCatfish"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Mushrooms",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaMushrooms"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Mycoprotein"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Armenia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArmeniaEggsAggregated"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Oats",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaOats"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Armenia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArmeniaEggsBackyard"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Onions (fresh)",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaOnions (fresh)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Armenia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Layers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArmeniaEggsLayers"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Onions, dry",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaOnions, dry"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Armenia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArmeniaMeat (cattle)Aggregated"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Oranges",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaOranges"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Armenia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArmeniaMeat (cattle)Grass+lot"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Peanuts",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaPeanuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Armenia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArmeniaMeat (cattle)Grassland"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Pears",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaPears"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Armenia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArmeniaMeat (cattle)Mixed"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Peas (dry)",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaPeas (dry)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Armenia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed+lot",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArmeniaMeat (cattle)Mixed+lot"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Peppers",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaPeppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Armenia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArmeniaMeat (chicken)Aggregated"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Pineapples",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaPineapples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Armenia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArmeniaMeat (chicken)Backyard"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Pistachios",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaPistachios"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Armenia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArmeniaMeat (chicken)Broilers"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Potatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaPotatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Armenia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArmeniaMeat (chicken)Layers"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Quinoa",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaQuinoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Armenia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArmeniaMeat (pig)Aggregated"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Rapeseeds",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaRapeseeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Armenia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArmeniaMeat (pig)Backyard"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Raspberries",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaRaspberries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Armenia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArmeniaMeat (pig)Industrial"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Rice",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaRice"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Armenia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Intermediate",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArmeniaMeat (pig)Intermediate"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Rye",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaRye"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Armenia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArmeniaMilk (cattle)Aggregated"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sesame seed",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaSesame seed"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Armenia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArmeniaMilk (cattle)Grassland"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sorghum",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaSorghum"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Armenia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArmeniaMilk (cattle)Mixed"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Soybeans",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaSoybeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Armenia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Salmon",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Salmon"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArmeniaSalmon"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Spinach",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaSpinach"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Armenia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Shrimp",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Shrimp"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArmeniaShrimp"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Strawberries",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaStrawberries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Armenia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Tilapia",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Tilapia"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ArmeniaTilapia"},null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sugar cane",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AngolaSugar cane"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Azerbaijan",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AzerbaijanMeat (chicken)Layers"},null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Strawberries",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Antigua and BarbudaStrawberries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Barbados",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"BarbadosEggsBackyard"},null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Spinach",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ArgentinaSpinach"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Belize",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Tilapia",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Tilapia"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"BelizeTilapia"},null,null,"Armenia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Sweet potatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ArmeniaSweet potatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Bolivia (Plurinational State of)",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Bolivia (Plurinational State of)Meat (chicken)Layers"},null,null,"Australia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Sweet peppers",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"AustraliaSweet peppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Burundi",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"BurundiMilk (cattle)Mixed"},null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Cucumbers",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BahamasCucumbers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Cameroon",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"CameroonMeat (pig)Industrial"},null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Hazelnuts",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BangladeshHazelnuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Chad",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ChadMeat (cattle)Grass+lot"},null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Grapes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BarbadosGrapes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Colombia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ColombiaEggsAggregated"},null,null,"Belgium",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Litchi",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BelgiumLitchi"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Congo",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"CongoMeat (pig)Industrial"},null,null,"Belize",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Lettuce",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BelizeLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Democratic Republic of the Congo",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Tilapia",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Tilapia"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Democratic Republic of the CongoTilapia"},null,null,"Bhutan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Soybeans",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BhutanSoybeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Dominican Republic",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Dominican RepublicMilk (cattle)Grassland"},null,null,"Bolivia (Plurinational State of)",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Sweet peppers",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Bolivia (Plurinational State of)Sweet peppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"El Salvador",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed+lot",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"El SalvadorMeat (cattle)Mixed+lot"},null,null,"Bosnia and Herzegovina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Sunflower seeds",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Bosnia and HerzegovinaSunflower seeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Estonia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"EstoniaMeat (cattle)Aggregated"},null,null,"Botswana",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Watermelons",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BotswanaWatermelons"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Fiji",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Catfish",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Catfish"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"FijiCatfish"},null,null,"Bulgaria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Avocados",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BulgariaAvocados"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Germany",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"GermanyEggsAggregated"},null,null,"Burundi",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Ginger",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BurundiGinger"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Greece",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Shrimp",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Shrimp"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"GreeceShrimp"},null,null,"Cabo Verde",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Lettuce",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Cabo VerdeLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Guinea",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"GuineaMeat (chicken)Broilers"},null,null,"Cambodia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Lentils",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"CambodiaLentils"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Haiti",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"HaitiMeat (cattle)Mixed"},null,null,"Cameroon",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Mangoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"CameroonMangoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Ireland",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"IrelandMeat (pig)Backyard"},null,null,"Central African Republic",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sunflower seeds",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Central African RepublicSunflower seeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Japan",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"JapanMeat (cattle)Aggregated"},null,null,"Chad",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sugar cane",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ChadSugar cane"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Kiribati",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Catfish",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Catfish"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"KiribatiCatfish"},null,null,"Chile",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Walnuts",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ChileWalnuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Lao People's Democratic Republic",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Lao People's Democratic RepublicMeat (pig)Backyard"},null,null,"China",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Tomatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ChinaTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Lesotho",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"LesothoMeat (chicken)Backyard"},null,null,"Comoros",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Apples",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ComorosApples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Malaysia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"MalaysiaMilk (cattle)Aggregated"},null,null,"Costa Rica",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Lentils",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Costa RicaLentils"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Malta",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"MaltaMeat (cattle)Mixed"},null,null,"Cote d'Ivoire",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Lemons",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Cote d'IvoireLemons"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Mauritius",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Layers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"MauritiusEggsLayers"},null,null,"Croatia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Mandarins",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"CroatiaMandarins"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Micronesia (Federated States of)",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Tuna",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Tuna"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Micronesia (Federated States of)Tuna"},null,null,"Cyprus",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Onions (fresh)",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"CyprusOnions (fresh)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Morocco",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"MoroccoMeat (pig)Aggregated"},null,null,"Czech Republic",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Oats",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Czech RepublicOats"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"New Zealand",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Salmon",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Salmon"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"New ZealandSalmon"},null,null,"Denmark",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Tomatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"DenmarkTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Nigeria",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"NigeriaMeat (chicken)Backyard"},null,null,"Dominica",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Sweet potatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"DominicaSweet potatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Panama",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"PanamaMeat (cattle)Grassland"},null,null,"Ecuador",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Almonds",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"EcuadorAlmonds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Peru",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"PeruEggsBackyard"},null,null,"Egypt",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Barley",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"EgyptBarley"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Poland",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Intermediate",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"PolandMeat (pig)Intermediate"},null,null,"El Salvador",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Bananas",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"El SalvadorBananas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Samoa",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Tuna",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Tuna"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"SamoaTuna"},null,null,"Eritrea",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Maize",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"EritreaMaize"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Seychelles",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"SeychellesMilk (cattle)Mixed"},null,null,"Estonia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Oats",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"EstoniaOats"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Slovenia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"SloveniaMeat (chicken)Aggregated"},null,null,"Eswatini",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Mushrooms",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"EswatiniMushrooms"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Mycoprotein"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"South Africa",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"South AfricaMeat (cattle)Grass+lot"},null,null,"Ethiopia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Peanuts",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"EthiopiaPeanuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Switzerland",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"SwitzerlandMeat (cattle)Grassland"},null,null,"Finland",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Sweet peppers",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"FinlandSweet peppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Timor-Leste",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Timor-LesteEggsBackyard"},null,null,"France",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Wheat",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"FranceWheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Tonga",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Tilapia",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Tilapia"},null,{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"TongaTilapia"},null,null,"Gambia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Bananas",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"GambiaBananas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Turkey",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"TurkeyMeat (chicken)Layers"},null,null,"Georgia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Avocados",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"GeorgiaAvocados"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Uganda",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed+lot",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"UgandaMeat (cattle)Mixed+lot"},null,null,"Germany",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Broccoli",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"GermanyBroccoli"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Uzbekistan",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"UzbekistanMeat (chicken)Aggregated"},null,null,"Greece",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Lettuce",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"GreeceLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Viet Nam",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Viet NamMeat (cattle)Grass+lot"},null,null,"Grenada",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Millet",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"GrenadaMillet"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Zimbabwe",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ZimbabweEggsAggregated"},null,null,"Guatemala",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Oranges",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"GuatemalaOranges"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Benin",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Butter",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Butter"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"BeninButterAggregated"},null,null,"Guinea",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Onions, dry",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"GuineaOnions, dry"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Croatia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Yoghurt",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Yoghurt"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"CroatiaYoghurtAggregated"},null,null,"Guinea-Bissau",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Peppers",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Guinea-BissauPeppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Malawi",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Butter",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Butter"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"MalawiButterAggregated"},null,null,"Honduras",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Avocados",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"HondurasAvocados"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Niger",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Yoghurt",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Yoghurt"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"NigerYoghurtAggregated"},null,null,"Hungary",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Asparagus",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"HungaryAsparagus"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Somalia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Cheese",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Cheese"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"SomaliaCheeseAggregated"},null,null,"Iceland",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Blueberries",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"IcelandBlueberries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"United Republic of Tanzania",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Butter",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Butter"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"United Republic of TanzaniaButterAggregated"},null,null,"India",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Beans",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"IndiaBeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Democratic Republic of the Congo",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Yoghurt",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Yoghurt"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Democratic Republic of the CongoYoghurtGrassland"},null,null,"Indonesia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Cashew nuts",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"IndonesiaCashew nuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"China",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Yoghurt",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Yoghurt"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ChinaYoghurtMixed"},null,null,"Italy",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Onions, dry",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ItalyOnions, dry"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Marshall Islands",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Yoghurt",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Yoghurt"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Marshall IslandsYoghurtMixed"},null,null,"Jamaica",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Onions (fresh)",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"JamaicaOnions (fresh)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Zimbabwe",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Yoghurt",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Yoghurt"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ZimbabweYoghurtMixed"},null,null,"Japan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Peas (dry)",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"JapanPeas (dry)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Guinea",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Butter",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Butter"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"GuineaButterGrassland"},null,null,"Kazakhstan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Pears",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"KazakhstanPears"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Somalia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Butter",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Butter"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"SomaliaButterGrassland"},null,null,"Kenya",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Potatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"KenyaPotatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Saint Lucia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Butter",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Butter"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Saint LuciaButterMixed"},null,null,"Lao People's Democratic Republic",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Beans",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Lao People's Democratic RepublicBeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Cabo Verde",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Cheese",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Cheese"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Cabo VerdeCheeseGrassland"},null,null,"Latvia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Barley",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"LatviaBarley"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Malta",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Cheese",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Cheese"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"MaltaCheeseGrassland"},null,null,"Lebanon",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Carrots",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"LebanonCarrots"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Zambia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Cheese",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Cheese"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ZambiaCheeseGrassland"},null,null,"Lesotho",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cocoa",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"LesothoCocoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,"Tunisia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Cheese",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Cheese"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"TunisiaCheeseMixed"},null,null,"Lithuania",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Oats",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"LithuaniaOats"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Luxembourg",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Pears",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"LuxembourgPears"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Madagascar",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Peanuts",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"MadagascarPeanuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Malawi",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Pistachios",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"MalawiPistachios"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Malaysia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Rice",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"MalaysiaRice"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Malta",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Bananas",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"MaltaBananas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Marshall Islands",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Buckwheat",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Marshall IslandsBuckwheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Mauritania",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Chickpeas",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"MauritaniaChickpeas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Mauritius",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cherries",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"MauritiusCherries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Mexico",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Cotton",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"MexicoCotton"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Cotton"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Moldova",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Oranges",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"MoldovaOranges"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Mongolia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Pineapples",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"MongoliaPineapples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Morocco",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Raspberries",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"MoroccoRaspberries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Mozambique",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Rapeseeds",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"MozambiqueRapeseeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Myanmar",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Sorghum",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"MyanmarSorghum"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Netherlands",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Blueberries",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"NetherlandsBlueberries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"New Zealand",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Cassava",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"New ZealandCassava"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Nicaragua",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Coffee",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"NicaraguaCoffee"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Niger",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Coconuts",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"NigerCoconuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Nigeria",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Garlic (green)",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"NigeriaGarlic (green)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Pakistan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Rapeseeds",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"PakistanRapeseeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Panama",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Quinoa",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"PanamaQuinoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Papua New Guinea",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Sesame seed",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Papua New GuineaSesame seed"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Paraguay",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Rye",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ParaguayRye"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Poland",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Cashew nuts",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"PolandCashew nuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Portugal",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Coconuts",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"PortugalCoconuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Romania",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Cocoa",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"RomaniaCocoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Rwanda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Flour",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"RwandaFlour"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Flour"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Saint Kitts and Nevis",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Lemons",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Saint Kitts and NevisLemons"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Samoa",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Potatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"SamoaPotatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Sao Tome and Principe",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Rye",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Sao Tome and PrincipeRye"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Senegal",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Rice",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"SenegalRice"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Seychelles",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Spinach",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"SeychellesSpinach"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Sierra Leone",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sweet potatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Sierra LeoneSweet potatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Slovenia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Chickpeas",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"SloveniaChickpeas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Solomon Islands",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Cucumbers",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Solomon IslandsCucumbers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Somalia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cotton",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"SomaliaCotton"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Cotton"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"South Africa",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Grapes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"South AfricaGrapes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"South Sudan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Litchi",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"South SudanLitchi"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Sri Lanka",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Raspberries",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Sri LankaRaspberries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Sudan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Soybeans",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"SudanSoybeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Sweden",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Sweet peppers",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"SwedenSweet peppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Switzerland",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Sunflower seeds",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"SwitzerlandSunflower seeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Tajikistan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Watermelons",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"TajikistanWatermelons"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Togo",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Coffee",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"TogoCoffee"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Tonga",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Ginger",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"TongaGinger"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Trinidad and Tobago",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Lettuce",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Trinidad and TobagoLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Tunisia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Lentils",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"TunisiaLentils"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Turkey",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Mangoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"TurkeyMangoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Turkmenistan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Sesame seed",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"TurkmenistanSesame seed"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Tuvalu",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Sugar cane",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"TuvaluSugar cane"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Uganda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Walnuts",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"UgandaWalnuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Ukraine",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Tomatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"UkraineTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"United States of America",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"North America"},"Garlic (green)",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"United States of AmericaGarlic (green)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Uruguay",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Lentils",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"UruguayLentils"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Uzbekistan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Lemons",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"UzbekistanLemons"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Vanuatu",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Mandarins",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"VanuatuMandarins"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Venezuela (Bolivarian Republic of)",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Maize",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Venezuela (Bolivarian Republic of)Maize"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Yemen",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Strawberries",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"YemenStrawberries"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Zambia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Tomatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ZambiaTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Zimbabwe",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sweet potatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ZimbabweSweet potatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Guyana",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Olives",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"GuyanaOlives"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"South Sudan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Olives",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"South SudanOlives"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Lao People's Democratic Republic",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Lao People's Democratic RepublicPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Somalia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"SomaliaPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"South Africa",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"South AfricaPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"South Sudan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"South SudanPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Spain",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"SpainPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Sri Lanka",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Sri LankaPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Sudan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"SudanPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Sweden",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"SwedenPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Switzerland",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"SwitzerlandPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Tajikistan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"TajikistanPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Thailand",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ThailandPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Timor-Leste",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Timor-LestePalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Togo",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"TogoPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Tonga",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"TongaPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Trinidad and Tobago",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Trinidad and TobagoPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Tunisia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"TunisiaPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Turkey",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"TurkeyPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Turkmenistan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"TurkmenistanPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Tuvalu",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"TuvaluPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Uganda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"UgandaPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Ukraine",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"UkrainePalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"United Kingdom",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"United KingdomPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"United Republic of Tanzania",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"United Republic of TanzaniaPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"United States of America",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"North America"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"United States of AmericaPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Uruguay",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"UruguayPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Uzbekistan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"UzbekistanPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Vanuatu",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"VanuatuPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Venezuela (Bolivarian Republic of)",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Venezuela (Bolivarian Republic of)Palm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Viet Nam",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Viet NamPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Yemen",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"YemenPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Zambia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ZambiaPalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]
[null,null,null,null,null,null,null,null,null,"Zimbabwe",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Palm fruit",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ZimbabwePalm fruit"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Palm fruit\",\"Palm oil\",IF(GHG_Update_Crop[[#This Row],[Crop]]=\"Olives\",\"Olive oil\",GHG_Update_Crop[[#This Row],[Crop]])),IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$f":"GHG_Update_Crop[[#This Row],[EF (tCH4/t)]]*$R$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tN2O/t)]]*$S$3","v":0},{"$f":"GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from CH4) (AR5)]]+GHG_Update_Crop[[#This Row],[EF (tCO2e/t) (from N2O) (AR5)]]","v":0}]

{"sheet":"Improv_lists","index":68,"n_rows":54,"n_cols":10,"rows_kept":54,"cut":false,"hidden":true,"merged":[[1,1,1,5]]}
[]
[null,"The tables in this section include the description that can be selected by the user in the interface. Values updated here will be shown in drop-down list for the supply chain stage indicated in the table header."]
[]
[null,"Production",null,"Transport (pre-processing)",null,"Storage (pre-processing)",null,"Processing",null,"Retail"]
[null,"Coating to extend vegetable and fruits shelf life",null,"Imprevements in handling processes",null,"Adopt low-cost storage and handling technologies such as super grain bags, metal or plastic silos, plastic crates that prevent spoilage and increase shelf life",null,"Design and usage of packaging options and coatings that extend a product’s shelf life",null,"Design changes for in-store merchandising to avoid excessive handling of products by consumers, and to achieve the desired appearance of abundance but with less damage and excess product"]
[null,"Control of environmental conditions (humidity, temperatures, ...)",null,"Improvements in control of environmental conditions (humidity, temperatures, ...)",null,"Crops quality assessment & monitoring",null,"Development new food products or secondary uses from what cannot be marketed",null,"Efficient refrigeration options including advanced refrigeration temperature control systems, installation of more efficient refrigerators, air curtains, closed display fridges, and replace refrigerants"]
[null,"Controlled environment agriculture (hydroponic or aquaponic cultivation system)",null,"Improvements in handling practices during loading and unloading.",null,"Evaporative coolers",null,"Development of near-farm facilities to convert unmarketable crops and by-products into value-added products",null,"Expand cold storage systems during wholesale and logistics to protect products vulnerable to heat damage"]
[null,"Crops quality assessment & monitoring during on-farm storage stage",null,"Introduce or expand energy-efficient, clean, low-carbon cold chains.",null,"Hermetic Storage, for example hermetically sealed plastic storage bags for crops",null,"Easy opening and emptying (accommodate desire for smaller or customizable portions)",null,"Improvements in inventory management and procurement practices (increase flexibility in supplier contracts) in response to better fit needs based on historical trends and waste data"]
[null,"Drying techniques and technologies",null,"Lower-carbon fuel vehicles.",null,"Imprevements in handling processes",null,"Fully leverage potential for using animal by-products to safely manufacture other products",null,"Improvements in other energy efficiency measures including efficient lighting, HVAC systems and building management"]
[null,"Evaporative coolers",null,"Optimization of logistics to reduce trucking time",null,"Improvements in control of environmental conditions (humidity, temperatures, ...)",null,"ICT improvements to optimize processing operations (e.g. to identify waste, track temperature and ensure freshness, assess ripeness, better balance demand and supply forecasts, and accelerate delivery of food)",null,"Improvements in packaging and portion design to enable consumers to purchase smaller or customized portions"]
[null,"Hermetic Storage, for example hermetically sealed plastic storage bags for crops",null,"Optimization of logistics to transport during coolest part of the day",null,"Improvements in warehouse operation (reducing humidity or vermin damage)",null,"Improvements in cleaning and sanitation to reduce losses due to contamination",null,"Improvements in storage management to reduce mistakes that result in food loss"]
[null,"Improvements to handling processes",null,"Refrigerated trucks",null,"Introduction of warehouse receipt system",null,"Improvements in communication along the food value chain",null,"Introduce monitoring technologies to track temperature and ensure freshness, streamline routing, track movement of goods in and out of warehouses, and monitor food loss and waste"]
[null,"Improvements to packing techniques",null,"Reorganization of collect (improved packing and sorting)",null,"Optimization of inventories in response to consumer demands through advanced IT systems",null,"Improvements in temperature mangement, handling, and preservation techniques",null,"Introduction of efficient refrigeration options including advanced refrigeration temperature control systems, installation of more efficient refrigerators, air curtains, closed display fridges, and replace refrigerants"]
[null,"Improvements to water quality prior to harvest",null,"Shift from trucking to trains or barges with lower losses",null,"Plastic crates instead of bags for crops",null,"Improvements in training of staff to reduce technical malfunctions and errors during processing",null,"Optimization of inventory management systems (and increase flexibility in supplier contracts) to better match forecasting and ordering"]
[null,"Natural insecticides",null,"Use of better containers during transportation to reduce contaminations",null,"Purdue Improved Cowpea Storage (PICS) bags",null,"Introduction of mobile processing units",null,"Other (see below)"]
[null,"On-farm food processing (peeling and washing, pressing, drying…)",null,"Other (see below)",null,"Refrigeration &/or cooling",null,"Introduction of resealable packaging to allow for incremental consumption",null,"None"]
[null,"Plastic crates instead of bags for crops",null,"None",null,"Silos",null,"Optimization of food processing facilities, reducing contamination, and limiting damages and spillage"]
[null,"Purdue Improved Cowpea Storage (PICS) bags",null,null,null,"Other (see below)",null,"Provision of a greater variety of packaging sizes to help shoppers purchase the amount appropriate for their needs"]
[null,"Refrigeration and/or cooling",null,null,null,"None",null,"Reengineering of production processes and product design to reduce waste during product line changeovers"]
[null,"Silos",null,null,null,null,null,"Other (see below)"]
[null,"Unmarketable crops converted into value-added products",null,null,null,null,null,"None"]
[null,"Warehousing"]
[null,"Other (see below)"]
[null,"None"]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[null,"Production",null,"Transport (pre-processing)",null,"Storage (pre-processing)"]
[null,"Food quality assessment & monitoring during first post-slaughter stages or initial processing",null,"Improve handling practices during loading and unloading.",null,"Food quality assessment & monitoring"]
[null,"Improved control of environmental conditions (humidity, temperatures, ...)",null,"Introduce or expand energy-efficient, clean, low-carbon cold chains.",null,"Improved control of environmental conditions (humidity, temperatures, ...)"]
[null,"Improved handling process, leading to reduced damage/spillage/losses",null,"Adopt lower-carbon fuel vehicles.",null,"Improved handling process, leading to reduced damage"]
[null,"Improved packing techniques",null,"Improved control of environmental conditions (humidity, temperatures, ...)",null,"Improvement in warehouse operation (reducing humidity or vermin damage)"]
[null,"On farm Warehousing / Storage",null,"Improved handling process, leading to reduced damage",null,"Refrigeration &/or cooling"]
[null,"On-farm food processing ",null,"Optimization of logistics to reduce trucking time",null,"None"]
[null,"Refrigeration &/or cooling",null,"Optimization of logistics to transport during coolest part of the day",null,"Other (see below)"]
[null,"Unmarketable farm products converted into value-added products",null,"Refrigerated trucks"]
[null,"Implement best practices in animal welfare ",null,"Reorganization of collect (improved packing and sorting)"]
[null,"None",null,"Use of better containers during transportation that reduce contaminations"]
[null,"Other (see below)",null,"None"]
[null,null,null,"Other (see below)"]

{"sheet":"ClimateZones","index":69,"n_rows":357,"n_cols":6,"rows_kept":281,"cut":true,"hidden":true,"merged":[],"bounds":{"rows_first":125,"rows_last":31,"rows_between":125,"halvings":4}}
[]
[null,"Continent","Country","Areas","Climate","Ecological Zone"]
[null,"Africa","Algeria",null,"Tropical","Tropical desert"]
[null,"Africa","Angola",null,"Tropical","Tropical moist deciduous forest"]
[null,"Africa","Benin",null,"Tropical","Tropical moist deciduous forest"]
[null,"Africa","Botswana","North","Tropical","Tropical dry forest"]
[null,"Africa","Botswana","South","Tropical","Tropical shrubland"]
[null,"Africa","Burkina Faso","North","Tropical","Tropical shrubland"]
[null,"Africa","Burkina Faso","Central","Tropical","Tropical dry forest"]
[null,"Africa","Burkina Faso","South","Tropical","Tropical moist deciduous forest"]
[null,"Africa","Burundi",null,"Tropical","Tropical mountain system"]
[null,"Africa","Cameroon","North","Tropical","Tropical dry forest"]
[null,"Africa","Cameroon","Central","Tropical","Tropical moist deciduous forest"]
[null,"Africa","Cameroon","South","Tropical","Tropical rainforest"]
[null,"Africa","Cape Verde",null,"Tropical","Tropical desert"]
[null,"Africa","Central African Republic",null,"Tropical","Tropical moist deciduous forest"]
[null,"Africa","Chad","North","Tropical","Tropical desert"]
[null,"Africa","Chad","Central","Tropical","Tropical shrubland"]
[null,"Africa","Chad","South","Tropical","Tropical dry forest"]
[null,"Africa","Comoros",null,"Tropical","Tropical moist deciduous forest"]
[null,"Africa","Congo, Democratic Republic of",null,"Tropical","Tropical rainforest"]
[null,"Africa","Congo, Republic of",null,"Tropical","Tropical rainforest"]
[null,"Africa","Côte d'Ivoire","North","Tropical","Tropical moist deciduous forest"]
[null,"Africa","Côte d'Ivoire","South","Tropical","Tropical rainforest"]
[null,"Africa","Djibouti",null,"Tropical","Tropical desert"]
[null,"Africa","Egypt",null,"Tropical","Tropical desert"]
[null,"Africa","Equatorial Guinea",null,"Tropical","Tropical rainforest"]
[null,"Africa","Eritrea",null,"Tropical","Tropical shrubland"]
[null,"Africa","Ethiopia","East","Tropical","Tropical shrubland"]
[null,"Africa","Ethiopia","West","Tropical","Tropical mountain system"]
[null,"Africa","Gabon",null,"Tropical","Tropical rainforest"]
[null,"Africa","Gambia","West","Tropical","Tropical moist deciduous forest"]
[null,"Africa","Gambia","East","Tropical","Tropical dry forest"]
[null,"Africa","Ghana","North","Tropical","Tropical moist deciduous forest"]
[null,"Africa","Ghana","South","Tropical","Tropical rainforest"]
[null,"Africa","Guinea",null,"Tropical","Tropical moist deciduous forest"]
[null,"Africa","Guinea-Bissau",null,"Tropical","Tropical moist deciduous forest"]
[null,"Africa","Kenya",null,"Tropical","Tropical shrubland"]
[null,"Africa","Lesotho",null,"Subtropical","Subtropical mountain system"]
[null,"Africa","Liberia",null,"Tropical","Tropical rainforest"]
[null,"Africa","Libya",null,"Tropical","Tropical desert"]
[null,"Africa","Madagascar","North West","Tropical","Tropical moist deciduous forest"]
[null,"Africa","Madagascar","South West","Tropical","Tropical shrubland"]
[null,"Africa","Madagascar","Central","Tropical","Tropical mountain system"]
[null,"Africa","Madagascar","East","Tropical","Tropical rainforest"]
[null,"Africa","Malawi",null,"Tropical","Tropical moist deciduous forest"]
[null,"Africa","Mali","North","Tropical","Tropical desert"]
[null,"Africa","Mali","Central","Tropical","Tropical shrubland"]
[null,"Africa","Mali","South","Tropical","Tropical shrubland"]
[null,"Africa","Mauritania","North","Tropical","Tropical desert"]
[null,"Africa","Mauritania","South","Tropical","Tropical shrubland"]
[null,"Africa","Mauritius",null,"Tropical","Tropical rainforest"]
[null,"Africa","Morocco","North","Subtropical","Subtropical dry forest"]
[null,"Africa","Morocco","East","Subtropical","Subtropical steppe"]
[null,"Africa","Morocco","South","Subtropical","Subtropical mountain system"]
[null,"Africa","Morocco","West","Subtropical","Subtropical steppe"]
[null,"Africa","Morocco","Central","Tropical","Tropical desert"]
[null,"Africa","Mozambique","East","Tropical","Tropical moist deciduous forest"]
[null,"Africa","Mozambique","West","Tropical","Tropical dry forest"]
[null,"Africa","Namibia","East","Tropical","Tropical shrubland"]
[null,"Africa","Namibia","West","Tropical","Tropical desert"]
[null,"Africa","Niger","North","Tropical","Tropical desert"]
[null,"Africa","Niger","South","Tropical","Tropical shrubland"]
[null,"Africa","Nigeria","North","Tropical","Tropical shrubland"]
[null,"Africa","Nigeria","Central","Tropical","Tropical moist deciduous forest"]
[null,"Africa","Nigeria","South","Tropical","Tropical rainforest"]
[null,"Africa","Rwanda",null,"Tropical","Tropical mountain system"]
[null,"Africa","Sao Tome and Principe",null,"Tropical","Tropical rainforest"]
[null,"Africa","Senegal","North","Tropical","Tropical shrubland"]
[null,"Africa","Senegal","Central","Tropical","Tropical dry forest"]
[null,"Africa","Senegal","South","Tropical","Tropical moist deciduous forest"]
[null,"Africa","Seychelles",null,"Tropical","Tropical rainforest"]
[null,"Africa","Sierra Leone",null,"Tropical","Tropical rainforest"]
[null,"Africa","Somalia",null,"Tropical","Tropical shrubland"]
[null,"Africa","South Africa","North","Tropical","Tropical shrubland"]
[null,"Africa","South Africa","North West","Tropical","Tropical desert"]
[null,"Africa","South Africa","North East","Tropical","Tropical dry forest"]
[null,"Africa","South Africa","East","Tropical","Tropical dry forest"]
[null,"Africa","South Africa","Central","Subtropical","Subtropical mountain system"]
[null,"Africa","South Africa","West","Tropical","Tropical desert"]
[null,"Africa","South Africa","South East","Subtropical","Subtropical humid forest"]
[null,"Africa","South Africa","South West","Subtropical","Subtropical dry forest"]
[null,"Africa","South Africa","South","Subtropical","Subtropical humid forest"]
[null,"Africa","South Sudan","East","Tropical","Tropical dry forest"]
[null,"Africa","South Sudan","West","Tropical","Tropical moist deciduous forest"]
[null,"Africa","Sudan","North","Tropical","Tropical desert"]
[null,"Africa","Sudan","South","Tropical","Tropical shrubland"]
[null,"Africa","Swaziland",null,"Tropical","Tropical dry forest"]
[null,"Africa","Tanzania",null,"Tropical","Tropical shrubland"]
[null,"Africa","Togo",null,"Tropical","Tropical moist deciduous forest"]
[null,"Africa","Tunisia","North","Subtropical","Subtropical dry forest"]
[null,"Africa","Tunisia","Central","Subtropical","Subtropical steppe"]
[null,"Africa","Tunisia","South","Tropical","Tropical desert"]
[null,"Africa","Uganda",null,"Tropical","Tropical rainforest"]
[null,"Africa","Zambia",null,"Tropical","Tropical moist deciduous forest"]
[null,"Africa","Zimbabwe",null,"Tropical","Tropical shrubland"]
[null,"Antarctica","Antartica",null,"Polar","Polar"]
[null,"Asia","Afghanistan",null,"Subtropical","Subtropical mountain system"]
[null,"Asia","Bahrain",null,"Subtropical","Subtropical desert"]
[null,"Asia","Bangladesh","East","Tropical","Tropical moist deciduous forest"]
[null,"Asia","Bangladesh","West","Tropical","Tropical Rainforest"]
[null,"Asia","Bhutan","North","Subtropical","Subtropical mountain system"]
[null,"Asia","Bhutan","Central","Tropical","Tropical mountain system"]
[null,"Asia","Bhutan","South","Tropical","Tropical Rainforest"]
[null,"Asia","Brunei",null,"Tropical","Tropical Rainforest"]
[null,"Asia","Cambodia",null,"Tropical","Tropical dry forest"]
[null,"Asia","China","North","Temperate","Temperate desert"]
[null,"Asia","China","North West","Temperate","Temperate desert"]
[null,"Asia","China","North East","Temperate","Temperate continental forest"]
[null,"Asia","China","East","Temperate","Temperate continental forest"]
[null,"Asia","China","West","Temperate","Temperate mountaineous"]
[null,"Asia","China","Central","Temperate","Temperate mountaineous"]
[null,"Asia","China","South West","Subtropical","Subtropical mountain system"]
[null,"Asia","China","South East","Subtropical","Subtropical humid forest"]
[null,"Asia","China","South","Subtropical","Subtropical mountain system"]
[null,"Asia","India","North","Subtropical","Subtropical mountain system"]
[null,"Asia","India","North East","Tropical","Tropical rainforest"]
[null,"Asia","India","North West","Tropical","Tropical desert"]
[null,"Asia","India","West","Tropical","Tropical shrubland"]
[null,"Asia","India","Central","Tropical","Tropical dry forest"]
[null,"Asia","India","East","Tropical","Tropical moist deciduous forest"]
[null,"Asia","India","South East","Tropical","Tropical dry forest"]
[null,"Asia","India","South West","Tropical","Tropical rainforest"]
[null,"Asia","India","South","Tropical","Tropical shrubland"]
[null,"Asia","Indonesia",null,"Tropical","Tropical rainforest"]
[null,"Asia","Iran",null,"Subtropical","Subtropical mountain system"]
[null,"Asia","Iraq","North","Subtropical","Subtropical steppe"]
[null,"Asia","Israel","North","Subtropical","Subtropical steppe"]
[null,"Asia","Israel","South","Tropical","Tropical desert"]
[null,"Asia","Jordan",null,"Subtropical","Subtropical desert"]
[null,"Asia","Kazakhstan","North","Temperate","Temperate steppe"]
[null,"Asia","Korea, North",null,"Temperate","Temperate continental forest"]
[null,"Asia","Korea, South",null,"Temperate","Temperate continental forest"]
[null,"Asia","Kyrgyzstan",null,"Temperate","Temperate mountaineous"]
[null,"Asia","Laos",null,"Tropical","Tropical rainforest"]
[null,"Asia","Malaysia",null,"Tropical","Tropical rainforest"]
[null,"Asia","Maldives",null,"Tropical","Tropical rainforest"]
[null,"Asia","Mongolia","East","Temperate","Temperate steppe"]
[null,"Asia","Mongolia","South","Temperate","Temperate desert"]
[null,"Asia","Myanmar","Central","Tropical","Tropical moist deciduous forest"]
[null,"Asia","Myanmar","South","Tropical","Tropical Rainforest"]
[null,"Asia","Nepal","South","Tropical","Tropical moist deciduous forest"]
[null,"Asia","Oman",null,"Tropical","Tropical desert"]
[null,"Asia","Pakistan","Central","Subtropical","Subtropical steppe"]
[null,"Asia","Pakistan","East","Tropical","Tropical desert"]
[null,"Asia","Pakistan","South","Tropical","Tropical desert"]
[null,"Asia","Philippines",null,"Tropical","Tropical rainforest"]
[null,"Asia","Russian Federation","North","Polar","Polar"]
[null,"Asia","Russian Federation","North West","Boreal","Boreal coniferous forest"]
[null,"Asia","Russian Federation","Central","Boreal","Boreal coniferous forest"]
[null,"Asia","Russian Federation","West","Temperate","Temperate continental forest"]
[null,"Asia","Russian Federation","South West","Temperate","Temperate steppe"]
[null,"Asia","Russian Federation","South","Temperate","Temperate continental forest"]
[null,"Asia","Saudi Arabia","South","Tropical","Tropical desert"]
[null,"Asia","Singapore",null,"Tropical","Tropical rainforest"]
[null,"Asia","Sri Lanka","East","Tropical","Tropical moist deciduous forest"]
[null,"Asia","Sri Lanka","South","Tropical","Tropical dry forest"]
[null,"Asia","Tajikistan",null,"Temperate","Temperate mountaineous"]
[null,"Asia","Thailand","North","Tropical","Tropical moist deciduous forest"]
[null,"Asia","Thailand","South","Tropical","Tropical rainforest"]
[null,"Asia","Timor-Leste",null,"Tropical","Tropical rainforest"]
[null,"Asia","Turkmenistan",null,"Temperate","Temperate desert"]
[null,"Asia","United Arab Emirates",null,"Tropical","Tropical desert"]
[null,"Asia","Uzbekistan","West","Temperate","Temperate desert"]
[null,"Asia","Vietnam",null,"Tropical","Tropical moist deciduous forest"]
[null,"Australia","Australia","Central","Subtropical","Subtropical desert"]
[null,"Australia","Australia","North","Tropical","Tropical shrubland"]
[null,"Australia","Australia","West","Subtropical","Subtropical desert"]
[null,"Australia","Fiji",null,"Tropical","Tropical rainforest"]
[null,"Australia","Marshall Islands",null,"Tropical","Tropical rainforest"]
[null,"Australia","Micronesia",null,"Tropical","Tropical rainforest"]
[null,"Australia","New Zealand","North","Subtropical","Subtropical humid forest"]
[null,"Australia","New Zealand","South","Temperate","Temperate oceanic forest"]
[null,"Australia","Papua New Guinea",null,"Tropical","Tropical rainforest"]
[null,"Australia","Samoa",null,"Tropical","Tropical moist deciduous forest"]
[null,"Australia","Tuvalu",null,"Tropical","Tropical rainforest"]
[null,"Australia","Vanuatu",null,"Tropical","Tropical rainforest"]
[null,"Europe","Andorra",null,"Temperate","Temperate mountaineous"]
[null,"Europe","Armenia",null,"Subtropical","Subtropical mountain system"]
[null,"Europe","Azerbaijan",null,"Temperate","Temperate Desert"]
[null,"Europe","Belarus",null,"Temperate","Temperate Continental forest"]
[null,"Europe","Bosnia and Herzegovina","North","Temperate","Temperate Continental forest"]
[null,"Europe","Bosnia and Herzegovina","Central","Temperate","Temperate mountaineous"]
[null,"Europe","Bulgaria",null,"Temperate","Temperate Continental forest"]
[null,"Europe","Croatia","North","Temperate","Temperate continental forest"]
[null,"Europe","Cyprus",null,"Subtropical","Subtropical dry forest"]
[null,"Europe","Czech Republic",null,"Temperate","Temperate continental forest"]
[null,"Europe","Estonia",null,"Temperate","Temperate continental forest"]
[null,"Europe","Finland",null,"Boreal","Boreal coniferous forest"]
[null,"Europe","Georgia","North","Temperate","Temperate mountaineous"]
[null,"Europe","Georgia","East","Temperate","Temperate continental forest"]
[null,"Europe","Georgia","West","Subtropical","Subtropical humid forest"]
[null,"Europe","Germany",null,"Temperate","Temperate oceanic forest"]
[null,"Europe","Hungary",null,"Temperate","Temperate continental forest"]
[null,"Europe","Iceland","West","Boreal","Boreal coniferous forest"]
[null,"Europe","Ireland",null,"Temperate","Temperate oceanic forest"]
[null,"Europe","Italy","North","Temperate","Temperate oceanic forest"]
[null,"Europe","Latvia",null,"Temperate","Temperate continental forest"]
[null,"Europe","Liechtenstein",null,"Temperate","Temperate mountaineous"]
[null,"Europe","Luxembourg",null,"Temperate","Temperate oceanic forest"]
[null,"Europe","Macedonia",null,"Subtropical","Subtropical dry forest"]
[null,"Europe","Moldova",null,"Temperate","Temperate continental forest"]
[null,"Europe","Monaco",null,"Subtropical","Subtropical dry forest"]
[null,"Europe","Norway",null,"Boreal","Boreal mountain systems"]
[null,"Europe","Poland",null,"Temperate","Temperate continental forest"]
[null,"Europe","Romania",null,"Temperate","Temperate continental forest"]
[null,"Europe","San Marino",null,"Subtropical","Subtropical humid forest"]
[null,"Europe","Slovakia","North","Temperate","Temperate mountaineous"]
[null,"Europe","Slovakia","South","Temperate","Temperate continental forest"]
[null,"Europe","Slovenia","West","Temperate","Temperate mountaineous"]
[null,"Europe","Spain",null,"Subtropical","Subtropical dry forest"]
[null,"Europe","Sweden","North West","Boreal","Boreal mountain systems"]
[null,"Europe","Sweden","Central","Boreal","Boreal coniferous forest"]
[null,"Europe","Ukraine","North","Temperate","Temperate continental forest"]
[null,"Europe","Ukraine","South","Subtropical","Subtropical dry forest"]
[null,"Europe","Vatican City",null,"Subtropical","Subtropical dry forest"]
[null,"North America","Antigua and Barbuda",null,"Tropical","Tropical dry forest"]
[null,"North America","Barbados",null,"Tropical","Tropical dry forest"]
[null,"North America","Belize","North","Tropical","Tropical moist deciduous forest"]
[null,"North America","Bermuda",null,"Subtropical","Subtropical humid forest"]
[null,"North America","Canada","North","Polar","Polar"]
[null,"North America","Canada","North East","Polar","Polar"]
[null,"North America","Canada","Central","Boreal","Boreal coniferous forest"]
[null,"North America","Canada","South West","Temperate","Temperate mountaineous"]
[null,"North America","Canada","South East","Temperate","Temperate continental forest"]
[null,"North America","Costa Rica",null,"Tropical","Tropical rainforest"]
[null,"North America","Cuba",null,"Tropical","Tropical moist deciduous forest"]
[null,"North America","Dominican Republic",null,"Tropical","Tropical rainforest"]
[null,"North America","El Salvador",null,"Tropical","Tropical moist deciduous forest"]
[null,"North America","Grenada",null,"Tropical","Tropical rainforest"]
[null,"North America","Guadeloupe","West","Tropical","Tropical rainforest"]
[null,"North America","Guatemala","Central","Tropical","Tropical rainforest"]
[null,"North America","Guatemala","South","Tropical","Tropical mountain system"]
[null,"North America","Honduras","West","Tropical","Tropical moist deciduous forest"]
[null,"North America","Honduras","East","Tropical","Tropical rainforest"]
[null,"North America","Mexico","North","Subtropical","Subtropical desert"]
[null,"North America","Mexico","North West","Subtropical","Subtropical desert"]
[null,"North America","Mexico","East","Tropical","Tropical moist deciduous forest"]
[null,"North America","Mexico","South East","Tropical","Tropical moist deciduous forest"]
[null,"North America","Mexico","South","Tropical","Tropical mountain system"]
[null,"North America","Mexico","Central","Tropical","Tropical mountain system"]
[null,"North America","Nicaragua","West","Tropical","Tropical moist deciduous forest"]
[null,"North America","Panama",null,"Tropical","Tropical rainforest"]
[null,"North America","Saint Lucia",null,"Tropical","Tropical rainforest"]
[null,"North America","Saint Vincent and the Grenadines",null,"Tropical","Tropical rainforest"]
[null,"North America","United States","North West","Temperate","Temperate mountaineous"]
[null,"North America","United States","North East","Temperate","Temperate mountaineous"]
[null,"North America","United States","Central","Temperate","Temperate steppe"]
[null,"North America","United States","West","Temperate","Temperate desert"]
[null,"North America","United States","South","Subtropical","Subtropical steppe"]
[null,"North America","United States (Alaska)","North","Boreal","Boreal mountain systems"]
[null,"South America","Argentina","South","Temperate","Temperate steppe"]
[null,"South America","Argentina","Central","Subtropical","Subtropical steppe"]
[null,"South America","Argentina","East","Subtropical","Subtropical humid forest"]
[null,"South America","Argentina","North","Tropical","Tropical dry forest"]
[null,"South America","Argentina","West","Subtropical","Subtropical mountain system"]
[null,"South America","Bolivia","North","Tropical","Tropical Rainforest"]
[null,"South America","Bolivia","South West","Tropical","Tropical mountain system"]
[null,"South America","Bolivia","South East","Tropical","Tropical dry forest"]
[null,"South America","Brazil","North","Tropical","Tropical Rainforest"]
[null,"South America","Brazil","South","Subtropical","Subtropical humid forest"]
[null,"South America","Brazil","Central","Tropical","Tropical moist deciduous forest"]
[null,"South America","Brazil","East","Tropical","Tropical dry forest"]
[null,"South America","Brazil","West","Tropical","Tropical Rainforest"]
[null,"South America","Chile","North","Tropical","Tropical mountain system"]
[null,"South America","Chile","Central","Subtropical","Subtropical dry forest"]
[null,"South America","Chile","South","Temperate","Temperate oceanic forest"]
[null,"South America","Colombia",null,"Tropical","Tropical rainforest"]
[null,"South America","Ecuador","East","Tropical","Tropical rainforest"]
[null,"South America","Ecuador","Central","Tropical","Tropical mountain system"]
[null,"South America","Ecuador","West","Tropical","Tropical rainforest"]
[null,"South America","Guyana",null,"Tropical","Tropical rainforest"]
[null,"South America","Paraguay","East","Tropical","Tropical moist deciduous forest"]
[null,"South America","Paraguay","West","Tropical","Tropical dry forest"]
[null,"South America","Peru","North","Tropical","Tropical rainforest"]
[null,"South America","Peru","Central","Tropical","Tropical mountain system"]
[null,"South America","Peru","South","Tropical","Tropical desert"]
[null,"South America","Suriname",null,"Tropical","Tropical rainforest"]
[null,"South America","Uruguay",null,"Subtropical","Subtropical humid forest"]
[null,"South America","Venezuela","North","Tropical","Tropical moist deciduous forest"]
[null,"South America","Venezuela","South","Tropical","Tropical rainforest"]

{"sheet":"Food Security>>","index":70,"n_rows":0,"n_cols":0,"rows_kept":0,"cut":false,"hidden":true,"merged":[]}

{"sheet":"FS-output","index":71,"n_rows":13,"n_cols":6,"rows_kept":13,"cut":false,"hidden":true,"merged":[]}
[]
[null,"Food Security Indicators output"]
[]
[null,"Commodity",{"$f":"commodity","v":0}]
[null,"Avoided losses (tonnes)",{"$f":"SUM(totalTonnesLost)","v":0},"tonne(s)"]
[null,"Is this commodity excluded?",{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C4)>0,\"TRUE\",\"FALSE\")","v":"FALSE"}]
[null,"Corresponding calories quantity",{"$f":"IF(C6,\"Commodity excluded from Food Security Indicators\",INDEX(CropComposition[Energy content (kcal per tonne of edible food)],MATCH($C$4,CropComposition[IFC Crop list],0))*C5)","v":{"$error":"#N/A"}},"kcal"]
[null,"Corresponding protein quantity",{"$f":"IF(C6,\"Commodity excluded from Food Security Indicators\",INDEX(CropComposition[Protein content (gr per tonne of edible food)],MATCH($C$4,CropComposition[IFC Crop list],0))*C5)","v":{"$error":"#N/A"}},"g"]
[]
[]
[null,"Population group","Type","Default Dietary requirement \n(kcal/person/day or g/person/day)","User Input Dietary requirement \n(kcal/person/day or g/person/day)","Equivalent number of persons that can have their caloric or protein needs met"]
[null,"Adult","Calories",{"$f":"INDEX(HumanDietaryRequirements[Value],MATCH('FS-output'!B12&'FS-output'!C12,HumanDietaryRequirements[Age group]&HumanDietaryRequirements[Type],0))","v":2000},{"$f":"'Impact Results'!$D$80","v":0},{"$f":"IF($C$6,\"N/A\",\nIF(OR($C$4=0,$C$5=0),0,\nIF(Table133[[#This Row],[Type]]=\"Calories\",\nIF(Table133[[#This Row],[User Input Dietary requirement \n(kcal/person/day or g/person/day)]]>0,$C$7/E12,$C$7/D12),\nIF(Table133[[#This Row],[User Input Dietary requirement \n(kcal/person/day or g/person/day)]]>0,$C$8/E12,$C$8/D12))))","v":0}]
[null,"Adult","Protein",{"$f":"INDEX(HumanDietaryRequirements[Value],MATCH('FS-output'!B13&'FS-output'!C13,HumanDietaryRequirements[Age group]&HumanDietaryRequirements[Type],0))","v":50},{"$f":"'Impact Results'!$D$81","v":0},{"$f":"IF($C$6,\"N/A\",\nIF(OR($C$4=0,$C$5=0),0,\nIF(Table133[[#This Row],[Type]]=\"Calories\",\nIF(Table133[[#This Row],[User Input Dietary requirement \n(kcal/person/day or g/person/day)]]>0,$C$7/E13,$C$7/D13),\nIF(Table133[[#This Row],[User Input Dietary requirement \n(kcal/person/day or g/person/day)]]>0,$C$8/E13,$C$8/D13))))","v":0}]

{"sheet":"FS-Food composition databases","index":72,"n_rows":106,"n_cols":18,"rows_kept":106,"cut":false,"hidden":true,"merged":[[24,14,24,15],[24,16,24,17],[4,2,4,8],[2,2,2,8],[24,9,24,13],[24,5,24,8]]}
[null,null,"Food composition databases"]
[]
[null,null,"This tab is based on the IFC crop list (50 crops as of Nov 2024).\nFood composition: \nThe IFC crop list is matched with the relevant food crops from the FAO 2001 Food Balance Sheets, which includes the energy (kcal) and protein (grams) per 100g of food.\nValues from other source (McCance and Widdowson database) are also included for comparison purposes and for crops for which the FAO source isn't relevant, highlighted in orange below.\nSome crops are also not covered by the World Bank Food security Scorecards, and thus have been excluded as well from this tool's Food Security indicators."]
[]
[null,null,"Sources:\nUsed for indicators:\nFAO 2001 Food Composition handbook Annex 1 : https://www.fao.org/4/x9892e/X9892e05.htm#P8217_125315 (accessed December 2004)\nComposition of foods integrated dataset (CoFID) - McCance and Widdowson: (accessed October 2024): https://www.gov.uk/government/publications/composition-of-foods-integrated-dataset-cofid\n FoodData Central from USDA for Litchi\n\nFor comparison purposes:\nUSDA FoodData Central - Foundation Foods: https://fdc.nal.usda.gov/download-datasets (accessed October 2024)\nNEVO: https://www.rivm.nl/en/dutch-food-composition-database  (accessed October 2024)\nUSDA 1975 Food yields: https://www.ars.usda.gov/ARSUserFiles/80400530/pdf/ah102.pdf"]
[]
[null,null,"Color-coding key:"]
[null,null,null,"Formula"]
[null,null,null,"Hard-coded values from source"]
[null,null,null,"Crops not covered by WB for food security indicators"]
[]
[]
[null,null,"Excluded commodities from Food Security indicators:"]
[null,null,"Cocoa"]
[null,null,"Coffee"]
[null,null,"Cotton"]
[null,null,"Sugar cane"]
[null,null,"Ginger"]
[null,null,"Lemons"]
[null,null,"Garlic (green)"]
[null,null,"Onions, dry"]
[]
[]
[]
[null,null,null,null,null,"FAO Food Balance Sheets",null,null,null,"Composition of foods integrated dataset (CoFID) - McCance and Widdowson",null,null,null,null,"Energy content",null,"Protein content"]
[null,null,"IFC Crop list","FAO name","Category","FAO Food Balance Sheets Food name","FAO Calories (kcal per 100g)","FAO Protein (g per 100g)","Comment","McCance and Widdowson food name","Food code","Edible Portion","McCance&Widdowson Calories (kcal per 100g)","McCance&Widdowson Protein (g per 100g)","Energy content (kcal per 100gr of edible food)","Energy content (kcal per tonne of edible food)","Protein content (gr per 100gr of net edible food)","Protein content (gr per tonne of edible food)"]
[null,null,"Almonds","Nuts/Seeds","Oilseeds and pulses","ALMONDS",236,8,"in-shell","Almonds, whole kernels","14-896",1,554,21.2,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C27)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":236},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C27)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":2360000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C27)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":8},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C27)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":80000}]
[null,null,"Apples","Fruits","Fruits and vegetables","APPLES",48,0.1,null,"Apples, eating, raw, flesh and skin, weighed with core","14-346",0.87,43,0.5,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C28)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":48},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C28)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":480000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C28)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":0.1},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C28)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":1000}]
[null,null,"Avocados","Fruits","Fruits and vegetables","AVOCADOS",119,1.5,null,"Avocado, Hass, flesh only, weighed with skin and stone","14-387",0.69,118,1.3,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C29)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":119},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C29)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":1190000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C29)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":1.5},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C29)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":15000}]
[null,null,"Bananas","Fruits","Fruits and vegetables","BANANAS",60,0.7,null,"Bananas, raw, flesh only, weighed with skin","14-347",0.63,51,0.8,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C30)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":60},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C30)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":600000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C30)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":0.7},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C30)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":6999.9999999999991}]
[null,null,"Barley","Pulses & Grains","Cereals","BARLEY",332,11,null,"Barley, pearl, raw","11-002",1,360,7.9,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C31)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":332},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C31)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":3320000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C31)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":11},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C31)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":110000}]
[null,null,"Beans","Pulses & Grains","Oilseeds and pulses","BEANS, DRY",341,22.1,null,"Beans, cluster, raw","13-080",0.86,23,2.6,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C32)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":341},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C32)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":3410000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C32)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":22.1},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C32)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":221000}]
[null,null,"Buckwheat","Pulses & Grains","Oilseeds and pulses","BUCKWHEAT",330,11,"buckwheat flour also available","Buckwheat, groats","11-006",1,364,8.1,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C33)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":330},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C33)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":3300000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C33)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":11},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C33)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":110000}]
[null,null,"Carrots","Tubers/Root Crops","Roots and tubers","CARROTS",38,0.9,null,"Carrots, old, raw","13-496",0.71,34,0.5,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C34)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":38},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C34)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":380000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C34)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":0.9},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C34)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":9000}]
[null,null,"Cashew nuts","Nuts/Seeds","Oilseeds and pulses","CASHEW NUTS",252,7.7,"in-shell","Cashew nuts, kernel only, plain","14-811",1,573,17.7,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C35)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":252},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C35)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":2520000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C35)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":7.7},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C35)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":77000}]
[null,null,"Cassava","Tubers/Root Crops","Roots and tubers","CASSAVA",109,0.9,null,"Cassava, raw","13-208",0.84,142,0.6,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C36)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":109},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C36)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":1090000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C36)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":0.9},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C36)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":9000}]
[null,null,"Chickpeas","Pulses & Grains","Oilseeds and pulses","CHICK-PEAS",358,20.100000000000001,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C37)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":358},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C37)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":3580000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C37)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":20.100000000000001},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C37)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":201000}]
[null,null,"Cocoa","Nuts/Seeds","Oilseeds and pulses","N/A","N/A","N/A",null,"Cocoa powder","12-545",1,312,18.5,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C38)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":"Commodity excluded from Food Security Indicators"},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C38)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":"Commodity excluded from Food Security Indicators"},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C38)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":"Commodity excluded from Food Security Indicators"},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C38)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":"Commodity excluded from Food Security Indicators"}]
[null,null,"Coffee","Nuts/Seeds","Oilseeds and pulses","N/A","N/A","N/A",null,"Coffee, infusion, strong","17-153",1,2,0.2,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C39)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":"Commodity excluded from Food Security Indicators"},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C39)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":"Commodity excluded from Food Security Indicators"},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C39)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":"Commodity excluded from Food Security Indicators"},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C39)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":"Commodity excluded from Food Security Indicators"}]
[null,null,"Cotton","Cotton","Oilseeds and pulses","N/A","N/A","N/A",null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C40)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":"Commodity excluded from Food Security Indicators"},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C40)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":"Commodity excluded from Food Security Indicators"},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C40)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":"Commodity excluded from Food Security Indicators"},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C40)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":"Commodity excluded from Food Security Indicators"}]
[null,null,"Eggs","Animal Protein","Eggs","HEN EGGS",139,10.7,"EGGS LIQUID HEN also available (excluding shell)","Eggs, chicken, whole, raw","12-937",1,131,12.6,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C41)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":139},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C41)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":1390000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C41)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":10.7},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C41)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":106999.99999999999}]
[null,null,"Flour","Flour","Cereals","FLOUR OF WHEAT",364,10.9,null,"Flour, wheat, wholemeal","11-889",1,327,11.6,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C42)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":364},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C42)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":3640000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C42)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":10.9},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C42)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":109000}]
[null,null,"Garlic (green)","Tubers/Root Crops","Roots and tubers","GARLIC",130,5.5,null,"Garlic, raw","13-244",0.79,98,7.9,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C43)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":"Commodity excluded from Food Security Indicators"},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C43)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":"Commodity excluded from Food Security Indicators"},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C43)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":"Commodity excluded from Food Security Indicators"},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C43)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":"Commodity excluded from Food Security Indicators"}]
[null,null,"Ginger","Tubers/Root Crops","Roots and tubers","GINGER",347,9.1,"This is ginger powder and not fresh ginger as it's classified under \"spices\". Using McCance and Widdowson value instead for fresh ginger.","Ginger, fresh","13-890",0.93,44,1.8,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C44)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":"Commodity excluded from Food Security Indicators"},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C44)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":"Commodity excluded from Food Security Indicators"},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C44)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":"Commodity excluded from Food Security Indicators"},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C44)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":"Commodity excluded from Food Security Indicators"}]
[null,null,"Grapes","Fruits","Fruits and vegetables","GRAPES",53,0.5,null,"Grapes, average, weighed with pips","14-351",0.98,64,0.7,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C45)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":53},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C45)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":530000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C45)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":0.5},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C45)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":5000}]
[null,null,"Lemons","Fruits","Fruits and vegetables","LEMONS AND LIMES",15,0.6,null,"Lemons, flesh only, raw, weighed with peel and pips","14-130",0.64,9,0.5,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C46)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":"Commodity excluded from Food Security Indicators"},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C46)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":"Commodity excluded from Food Security Indicators"},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C46)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":"Commodity excluded from Food Security Indicators"},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C46)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":"Commodity excluded from Food Security Indicators"}]
[null,null,"Lentils","Pulses & Grains","Oilseeds and pulses","LENTILS",346,24.2,null,"Lentils, green and brown, whole, dried, raw","13-089",1,297,24.3,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C47)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":346},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C47)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":3460000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C47)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":24.2},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C47)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":241999.99999999997}]
[null,null,"Lettuce","Vegetables ","Fruits and vegetables","LETTUCE",12,1.1000000000000001,null,"Lettuce, average, raw","13-520",0.82,11,1.2,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C48)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":12},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C48)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":120000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C48)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":1.1000000000000001},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C48)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":11000}]
[null,null,"Maize","Pulses & Grains","Cereals","MAIZE",356,9.5,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C49)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":356},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C49)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":3560000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C49)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":9.5},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C49)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":95000}]
[null,null,"Mangoes","Fruits","Fruits and vegetables","MANGOES",45,0.4,null,"Mangoes, ripe, flesh only, raw, weighed with skin and stone","14-379",0.63,30,0.4,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C50)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":45},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C50)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":450000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C50)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":0.4},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C50)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":4000}]
[null,null,"Meat (cattle)","Animal Protein","Meat","BEEF BONELESS",150,18.5,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C51)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":150},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C51)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":1500000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C51)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":18.5},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C51)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":185000}]
[null,null,"Meat (chicken)","Animal Protein","Meat","CHCKEN MEAT",122,12.3,null,"Chicken, whole, raw, meat and skin, weighed with bone","18-298",0.65,131,12.4,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C52)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":122},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C52)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":1220000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C52)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":12.3},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C52)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":123000}]
[null,null,"Meat (pig)","Animal Protein","Meat","PIGMEAT",326,11,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C53)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":326},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C53)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":3260000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C53)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":11},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C53)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":110000}]
[null,null,"Milk (cattle)","Animal Protein","Milk","COW MILK, WHOLE FRESH",61,3.3,null,"Milk, whole, pasteurised, average","12-596",1,63,3.4,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C54)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":61},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C54)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":610000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C54)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":3.3},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C54)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":33000}]
[null,null,"Millet","Pulses & Grains","Oilseeds and pulses","MILLET",340,9.6999999999999993,"FLOUR OF MILLET also available but has same nutritional content",null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C55)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":340},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C55)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":3400000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C55)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":9.6999999999999993},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C55)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":96999.999999999985}]
[null,null,"Mushrooms","Mycoprotein","Mycoprotein","MUSHROOMS",24,2,null,"Mushrooms, white, raw","13-505",0.96,7,1,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C56)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":24},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C56)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":240000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C56)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":2},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C56)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":20000}]
[null,null,"Oats","Pulses & Grains","Oilseeds and pulses","OATS",385,13,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C57)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":385},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C57)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":3850000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C57)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":13},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C57)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":130000}]
[null,null,"Onions, dry","Tubers/Root Crops","Roots and tubers","ONIONS, DRY",31,1.1000000000000001,null,"Onions, raw","13-499",0.9,35,1,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C58)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":"Commodity excluded from Food Security Indicators"},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C58)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":"Commodity excluded from Food Security Indicators"},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C58)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":"Commodity excluded from Food Security Indicators"},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C58)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":"Commodity excluded from Food Security Indicators"}]
[null,null,"Oranges","Fruits","Fruits and vegetables","ORANGES",34,0.7,null,"Oranges, flesh only, weighed with peel and pips","14-360",0.71,27,0.8,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C59)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":34},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C59)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":340000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C59)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":0.7},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C59)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":6999.9999999999991}]
[null,null,"Peanuts","Pulses & Grains","Oilseeds and pulses","GROUNDNUTS IN SHELL",414,18.7,null,"Peanuts, kernel only, plain, weighed with shells","14-886",0.69,389,17.7,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C60)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":414},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C60)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":4140000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C60)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":18.7},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C60)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":186999.99999999997}]
[null,null,"Peas (dry)","Pulses & Grains","Oilseeds and pulses","PEAS, DRY",346,22.5,null,"Peas, dried, raw","13-130",1,303,21.6,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C61)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":346},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C61)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":3460000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C61)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":22.5},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C61)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":225000}]
[null,null,"Peppers","Vegetables ","Fruits and vegetables","CHILLIES, PEPPERS,GREEN",25,1.1000000000000001,null,"Pepper, capsicum, red, raw","13-524",0.84,21,0.8,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C62)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":25},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C62)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":250000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C62)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":1.1000000000000001},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C62)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":11000}]
[null,null,"Pineapples","Fruits","Fruits and vegetables","PINEAPPLES",26,0.2,null,"Pineapple, flesh only, raw, weighed with skin and top","14-377",0.43,20,0.2,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C63)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":26},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C63)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":260000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C63)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":0.2},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C63)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":2000}]
[null,null,"Potatoes","Tubers/Root Crops","Roots and tubers","POTATOES",67,1.6,null,"Potatoes, old, raw, flesh only","13-489",0.85,82,1.9,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C64)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":67},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C64)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":670000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C64)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":1.6},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C64)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":16000}]
[null,null,"Quinoa","Pulses & Grains","Oilseeds and pulses","QUINOA",342,12,null,"Quinoa, raw","14-843",1,309,13.8,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C65)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":342},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C65)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":3420000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C65)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":12},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C65)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":120000}]
[null,null,"Rapeseeds","Nuts/Seeds","Oilseeds and pulses","RAPESEED",494,19.600000000000001,"OIL of RAPESEED also available",null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C66)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":494},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C66)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":4940000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C66)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":19.600000000000001},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C66)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":196000}]
[null,null,"Rice","Pulses & Grains","Cereals","RICE PADDY",280,6,null,"Rice, white, long grain, raw","11-861",1,355,6.7,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C67)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":280},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C67)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":2800000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C67)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":6},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C67)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":60000}]
[null,null,"Rye","Pulses & Grains","Oilseeds and pulses","RYE",319,11,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C68)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":319},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C68)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":3190000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C68)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":11},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C68)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":110000}]
[null,null,"Sesame seed","Nuts/Seeds","Oilseeds and pulses","SESAME SEED",573,17.7,null,"Sesame seeds","14-844",1,598,18.2,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C69)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":573},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C69)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":5730000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C69)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":17.7},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C69)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":176999.99999999997}]
[null,null,"Sorghum","Pulses & Grains","Cereals","SORGHUM",343,10.1,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C70)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":343},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C70)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":3430000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C70)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":10.1},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C70)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":100999.99999999999}]
[null,null,"Soybeans","Pulses & Grains","Oilseeds and pulses","SOYBEANS",335,38,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C71)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":335},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C71)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":3350000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C71)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":38},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C71)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":380000}]
[null,null,"Sugar cane","Tubers/Root Crops","Roots and tubers","N/A","N/A","N/A",null,"Sugar, white","17-063",1,394,"Tr",{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C72)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":"Commodity excluded from Food Security Indicators"},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C72)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":"Commodity excluded from Food Security Indicators"},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C72)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":"Commodity excluded from Food Security Indicators"},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C72)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":"Commodity excluded from Food Security Indicators"}]
[null,null,"Sunflower seeds","Nuts/Seeds","Oilseeds and pulses","SUNFLOWER SEED",308,12.3,"OIL OF SUNFLOWER SEEDS also available","Sunflower seeds","14-845",1,576,19.8,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C73)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":308},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C73)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":3080000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C73)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":12.3},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C73)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":123000}]
[null,null,"Sweet potatoes","Tubers/Root Crops","Roots and tubers","SWEET POTATOES",92,0.7,null,"Sweet potato, raw, flesh only","13-463",0.84,87,1.2,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C74)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":92},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C74)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":920000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C74)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":0.7},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C74)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":6999.9999999999991}]
[null,null,"Tomatoes","Fruits","Fruits and vegetables","TOMATOES",17,0.8,null,"Tomatoes, standard, raw","13-517",0.99,14,0.5,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C75)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":17},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C75)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":170000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C75)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":0.8},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C75)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":8000}]
[null,null,"Wheat","Pulses & Grains","Cereals","WHEAT",334,12.2,"Other wheat products also available","Wheat, bulgur, raw","11-904",1,352,10.6,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C76)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":334},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C76)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":3340000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C76)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":12.2},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C76)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":121999.99999999999}]
[null,null,"Catfish","Animal Protein","Fish","FRESHWATER DIADROMOUS FISH FRESH",69,10.9,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C77)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":69},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C77)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":690000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C77)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":10.9},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C77)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":109000}]
[null,null,"Tuna","Animal Protein","Fish","PELAGIC FISH FRESH",86,12.6,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C78)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":86},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C78)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":860000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C78)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":12.6},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C78)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":125999.99999999999}]
[null,null,"Shrimp","Animal Protein","Fish","CRUSTACEANS FRESH",47,9.3000000000000007,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C79)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":47},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C79)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":470000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C79)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":9.3000000000000007},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C79)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":93000}]
[null,null,"Salmon","Animal Protein","Fish","FRESHWATER DIADROMOUS FISH FRESH",69,10.9,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C80)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":69},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C80)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":690000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C80)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":10.9},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C80)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":109000}]
[null,null,"Tilapia","Animal Protein","Fish","FRESHWATER DIADROMOUS FISH FRESH",69,10.9,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C81)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":69},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C81)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":690000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C81)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":10.9},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C81)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":109000}]
[null,null,"Cotton Seed Oil","Oils and Fats","Vegetable Oils","OIL OF COTTON SEED",884,0,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C82)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":884},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C82)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":8840000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C82)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":0},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C82)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":0}]
[null,null,"Sunflower Oil","Oils and Fats","Vegetable Oils","OIL OF SUNFLOWER SEED",884,0,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C83)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":884},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C83)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":8840000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C83)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":0},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C83)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":0}]
[null,null,"Olive Oil","Oils and Fats","Vegetable Oils","OLIVE OIL",884,0,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C84)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":884},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C84)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":8840000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C84)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":0},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C84)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":0}]
[null,null,"Palm Oil","Oils and Fats","Vegetable Oils","PALM OIL",884,0,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C85)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":884},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C85)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":8840000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C85)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":0},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C85)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":0}]
[null,null,"Yogurt","Animal Protein","Yogurt","YOGHURT",61,3.5,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C86)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":61},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C86)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":610000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C86)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":3.5},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C86)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":35000}]
[null,null,"Cheese","Animal Protein","Cheese","CHEESE WHOLE COW MILK",387,25,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C87)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":387},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C87)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":3870000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C87)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":25},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C87)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":250000}]
[null,null,"Butter","Animal Protein","Butter","BUTTER OF COW MILK",717,0.9,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C88)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":717},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C88)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":7170000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C88)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":0.9},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C88)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":9000}]
[null,null,"Blueberries","Fruits","Fruits and vegetables","BLUEBERRIES",55,0.7,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C89)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":55},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C89)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":550000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C89)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":0.7},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C89)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":6999.9999999999991}]
[null,null,"Raspberries","Fruits","Fruits and vegetables","RASPBERRIES",47,0.9,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C90)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":47},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C90)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":470000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C90)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":0.9},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C90)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":9000}]
[null,null,"Strawberries","Fruits","Fruits and vegetables","STRAWBERRIES",28,0.6,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C91)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":28},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C91)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":280000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C91)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":0.6},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C91)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":5999.9999999999991}]
[null,null,"Watermelons","Fruits","Fruits and vegetables","WATERMELONS",17,0.3,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C92)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":17},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C92)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":170000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C92)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":0.3},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C92)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":2999.9999999999995}]
[null,null,"Litchi","Fruits","Fruits and vegetables",null,66,0.83,"Using USDA Litchis, raw from FoodData Central as Litchi not available in FAO fact sheets",null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C93)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":66},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C93)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":660000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C93)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":0.83},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C93)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":8300}]
[null,null,"Pears","Fruits","Fruits and vegetables","PEARS",54,0.4,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C94)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":54},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C94)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":540000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C94)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":0.4},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C94)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":4000}]
[null,null,"Cherries","Fruits","Fruits and vegetables","CHERRIES",65,1.1000000000000001,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C95)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":65},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C95)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":650000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C95)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":1.1000000000000001},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C95)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":11000}]
[null,null,"Mandarins","Fruits","Fruits and vegetables","TANGERINES, MANDARINES, CLEMENTINES",32,0.5,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C96)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":32},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C96)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":320000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C96)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":0.5},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C96)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":5000}]
[null,null,"Cucumbers","Vegetables ","Fruits and vegetables","CUCUMBERS, GHERINKS",13,0.5,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C97)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":13},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C97)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":130000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C97)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":0.5},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C97)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":5000}]
[null,null,"Sweet Peppers","Vegetables ","Fruits and vegetables","CHILLIES, PEPPERS,GREEN",25,1.1000000000000001,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C98)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":25},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C98)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":250000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C98)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":1.1000000000000001},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C98)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":11000}]
[null,null,"Onions (Fresh)","Vegetables ","Fruits and vegetables","ONIONS,SHALLOTS, GREEN",24,1.7,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C99)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":24},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C99)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":240000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C99)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":1.7},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C99)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":17000}]
[null,null,"Asparagus","Vegetables ","Fruits and vegetables","ASPARAGUS",12,1.6,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C100)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":12},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C100)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":120000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C100)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":1.6},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C100)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":16000}]
[null,null,"Broccoli","Vegetables ","Fruits and vegetables","CAULIFLOWER",9,0.8,"Used as a proxy in the absence of Broccoli specific data",null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C101)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":9},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C101)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":90000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C101)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":0.8},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C101)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":8000}]
[null,null,"Spinach","Vegetables ","Fruits and vegetables","SPINACH",16,2.1,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C102)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":16},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C102)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":160000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C102)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":2.1},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C102)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":21000}]
[null,null,"Coconuts","Nuts/Seeds","Treenuts","COCONUTS",184,1.7,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C103)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":184},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C103)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":1840000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C103)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":1.7},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C103)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":17000}]
[null,null,"Walnuts","Nuts/Seeds","Treenuts","WALNUTS",289,6.4,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C104)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":289},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C104)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":2890000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C104)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":6.4},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C104)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":64000}]
[null,null,"Hazelnuts","Nuts/Seeds","Treenuts","HAZELNUTS",291,6,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C105)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":291},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C105)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":2910000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C105)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":6},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C105)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":60000}]
[null,null,"Pistachios","Nuts/Seeds","Treenuts","PISTACHIOS",289,10.3,null,null,null,null,null,null,{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C106)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Calories (kcal per 100g)]])","v":289},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C106)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Energy content (kcal per 100gr of edible food)]]/0.0001)","v":2890000},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C106)>0,\"Commodity excluded from Food Security Indicators\",\nCropComposition[[#This Row],[FAO Protein (g per 100g)]])","v":10.3},{"$f":"IF(COUNTIF(ExclCommfromFSIndicators[Excluded commodities from Food Security indicators:],C106)>0,\"Commodity excluded from Food Security Indicators\",CropComposition[[#This Row],[Protein content (gr per 100gr of net edible food)]]/0.0001)","v":103000}]

{"sheet":"FS-Dietary Requirements","index":73,"n_rows":5,"n_cols":6,"rows_kept":5,"cut":false,"hidden":true,"merged":[]}
["Dietary requirements - Protein and Calories"]
[]
["Age group","Type","Value","Unit","Note","Source"]
["Adult","Calories",2000,"kcal / person / day","No distinction on age or gender - caloric value is a minimum","World Bank standard value"]
["Adult","Protein",50,"g / person / day","No distinction on age or gender","World Bank standard value"]

{"sheet":"FS-%Pop at risk of hunger","index":74,"n_rows":167,"n_cols":4,"rows_kept":167,"cut":false,"hidden":true,"merged":[]}
[null,"Food security indicator - % population at risk of hunger"]
[]
[null,"Source:","WRI Aqueduct Food and IFPRI IMPACT Model 3.4"]
[null,"Accessed on:","January 2025"]
[]
[null,null,"Data below is not crop specific"]
[null,"IFC Country","Population at risk of hunger (%)","Comment"]
[null,"Algeria",3.9899999999999998E-2]
[null,"Angola",0.20449999999999999]
[null,"Antigua and Barbuda","N/A"]
[null,"Argentina",3.6400000000000002E-2]
[null,"Armenia",1.3100000000000001E-2]
[null,"Australia",0,"Value was -0.11%"]
[null,"Austria",0,"Value was -0.06%"]
[null,"Azerbaijan",6.6E-3]
[null,"Bahamas","N/A"]
[null,"Bangladesh",0.12770000000000001]
[null,"Barbados","N/A"]
[null,"Belgium",0,"Value was -0.06%"]
[null,"Belize",0]
[null,"Benin",9.3100000000000002E-2]
[null,"Bhutan",0.1283]
[null,"Bolivia (Plurinational State of)",0.12970000000000001]
[null,"Bosnia and Herzegovina","N/A"]
[null,"Botswana",0.2366]
[null,"Brazil",2.0400000000000001E-2]
[null,"Bulgaria",3.0099999999999998E-2]
[null,"Burkina Faso",0.12620000000000001]
[null,"Burundi",0.52370000000000005]
[null,"Cabo Verde","N/A"]
[null,"Cambodia",7.9699999999999993E-2]
[null,"Cameroon",8.0199999999999994E-2]
[null,"Canada",0,"Value was -0.06%"]
[null,"Central African Republic",0.4501]
[null,"Chad",0.35899999999999999]
[null,"Chile",2.9700000000000001E-2]
[null,"China",6.6E-3]
[null,"Colombia",6.3299999999999995E-2,"Aqueduct Food indicated 885.86% -> seems incorrect, updated to N/A"]
[null,"Comoros","N/A"]
[null,"Congo",0.32769999999999999]
[null,"Costa Rica",4.3099999999999999E-2]
[null,"Cote d'Ivoire",6.1800000000000001E-2]
[null,"Croatia",0,"Value was -0.11%"]
[null,"Cyprus",0,"Value was -0.12%"]
[null,"Czech Republic",0,"Value was -0.1%"]
[null,"Democratic Republic of the Congo",0.38369999999999999]
[null,"Denmark",0,"Value was -0.1%"]
[null,"Dominica","N/A"]
[null,"Dominican Republic",5.7200000000000001E-2]
[null,"Ecuador",0.1326]
[null,"Egypt",5.1400000000000001E-2]
[null,"El Salvador",9.11E-2]
[null,"Equatorial Guinea","N/A"]
[null,"Eritrea",0.65610000000000002]
[null,"Estonia","N/A"]
[null,"Eswatini",8.8900000000000007E-2]
[null,"Ethiopia",0.20710000000000001]
[null,"Fiji",6.3500000000000001E-2]
[null,"Finland",0,"Value was -0.11%"]
[null,"France",0,"Value was -0.06%"]
[null,"Gabon",0.31759999999999999]
[null,"Gambia",0.16139999999999999]
[null,"Georgia",7.4700000000000003E-2]
[null,"Germany",1E-3]
[null,"Ghana",7.3599999999999999E-2]
[null,"Greece",0,"Value was -0.06%"]
[null,"Grenada","N/A"]
[null,"Guatemala",0.17269999999999999]
[null,"Guinea","N/A"]
[null,"Guinea-Bissau",0.32300000000000001]
[null,"Guyana",5.8900000000000001E-2]
[null,"Haiti",0.46789999999999998]
[null,"Honduras",0.15570000000000001]
[null,"Hungary",0,"Value was -0.11%"]
[null,"Iceland",0,"Value was -0.1%"]
[null,"India",0.14280000000000001]
[null,"Indonesia",6.6799999999999998E-2]
[null,"Ireland",0,"Value was -0.06%"]
[null,"Italy",0,"Value was -0.06%"]
[null,"Jamaica",8.2100000000000006E-2]
[null,"Japan",0,"Value was -0.12%"]
[null,"Kazakhstan",6.4999999999999997E-3]
[null,"Kenya",0.2681]
[null,"Kiribati","N/A"]
[null,"Kyrgyzstan",5.4800000000000001E-2]
[null,"Lao People's Democratic Republic",6.2700000000000006E-2]
[null,"Latvia","N/A"]
[null,"Lebanon",0.1163]
[null,"Lesotho",0.2903]
[null,"Liberia",0.35310000000000002]
[null,"Lithuania","N/A"]
[null,"Luxembourg","N/A"]
[null,"Madagascar",0.498]
[null,"Malawi",0.1716]
[null,"Malaysia",3.09E-2]
[null,"Maldives","N/A"]
[null,"Mali",4.07E-2]
[null,"Malta","N/A"]
[null,"Marshall Islands","N/A"]
[null,"Mauritania",0.10829999999999999]
[null,"Mauritius","N/A"]
[null,"Mexico",6.5000000000000002E-2]
[null,"Micronesia (Federated States of)","N/A"]
[null,"Moldova",6.7299999999999999E-2]
[null,"Mongolia",6.4100000000000004E-2]
[null,"Morocco",4.1099999999999998E-2]
[null,"Mozambique",0.52739999999999998]
[null,"Myanmar",3.0300000000000001E-2]
[null,"Namibia",0.20810000000000001]
[null,"Nepal",3.7699999999999997E-2]
[null,"Netherlands",0,"Value was -0.11%"]
[null,"New Zealand",0,"Value was -0.11%"]
[null,"Nicaragua",0.18329999999999999]
[null,"Niger",0.13220000000000001]
[null,"Nigeria",0.1258]
[null,"Norway",0,"Value was -0.1%"]
[null,"Pakistan",0.13270000000000001]
[null,"Panama",5.2900000000000003E-2]
[null,"Papua New Guinea",0.248]
[null,"Paraguay",7.2599999999999998E-2]
[null,"Peru",8.1699999999999995E-2]
[null,"Philippines",6.6199999999999995E-2]
[null,"Poland",0,"Value was -0.1%"]
[null,"Portugal",0,"Value was -0.06%"]
[null,"Romania",0,"Value was -0.1%"]
[null,"Rwanda",0.33400000000000002]
[null,"Saint Kitts and Nevis","N/A"]
[null,"Saint Lucia","N/A"]
[null,"Samoa","N/A"]
[null,"Sao Tome and Principe","N/A"]
[null,"Senegal",8.9800000000000005E-2]
[null,"Seychelles","N/A"]
[null,"Sierra Leone",0.32369999999999999]
[null,"Slovakia",3.9899999999999998E-2]
[null,"Slovenia",0,"Value was -0.11%"]
[null,"Solomon Islands",0.17430000000000001]
[null,"Somalia",0.68240000000000001]
[null,"South Africa",6.5600000000000006E-2]
[null,"South Sudan","N/A"]
[null,"Spain",0,"Value was -0.11%"]
[null,"Sri Lanka",4.3999999999999997E-2]
[null,"Sudan",8.2199999999999995E-2]
[null,"Sweden",0,"Value was -0.11%"]
[null,"Switzerland",0,"Value was -0.1%"]
[null,"Tajikistan",0.1237]
[null,"Thailand",7.46E-2]
[null,"Timor-Leste",0.2311]
[null,"Togo",0.24740000000000001]
[null,"Tonga","N/A"]
[null,"Trinidad and Tobago","N/A"]
[null,"Tunisia",2.7E-2]
[null,"Turkey",3.4200000000000001E-2]
[null,"Turkmenistan",3.7900000000000003E-2]
[null,"Tuvalu","N/A"]
[null,"Uganda",0.3206]
[null,"Ukraine",0,"Value was -0.11%"]
[null,"United Kingdom",0,"Value was -0.06%"]
[null,"United Republic of Tanzania",0.24610000000000001]
[null,"United States of America",0,"Value was -0.06%"]
[null,"Uruguay",2.1100000000000001E-2]
[null,"Uzbekistan",1.77E-2]
[null,"Vanuatu",8.9499999999999996E-2]
[null,"Venezuela (Bolivarian Republic of)",0.22]
[null,"Viet Nam",7.5499999999999998E-2]
[null,"Yemen",0.42680000000000001]
[null,"Zambia",0.35749999999999998]
[null,"Zimbabwe",0.58209999999999995,"Aqueduct Food indicated -73.57% -> seems incorrect, updated to N/A"]

{"sheet":"Upstream Avoided Losses>>","index":75,"n_rows":0,"n_cols":0,"rows_kept":0,"cut":false,"hidden":true,"merged":[]}

{"sheet":"Upstream Avoided Losses","index":76,"n_rows":194,"n_cols":14,"rows_kept":194,"cut":false,"hidden":true,"merged":[[2,1,2,4]]}
[null,"Upstream additional avoided losses - quantities and emissions"]
[]
[null,"This tab calculates theadditional upstream avoided losses and avoided emissions from the reduced loss of an intervention.\nE.g. 1 tonnes of avoided losses at retail implies a greater amount of avoided losses (and emissions) in the upstream steps of the value chain because of the % wasted between each steps."]
[]
[null,"Stage","Retail"]
[null,"Intervention selector",{"$f":"retailSelector","v":false}]
[null,"Additional cumulative upstream losses (tonnes)",{"$f":"E33","v":{"$error":"#N/A"}}]
[null,"Additional cumulative upstream avoided emissions (t CO2e)",{"$f":"N33","v":{"$error":"#N/A"}}]
[]
[null,"Stage","Commodity loss rate (%)","Avoided food loss quantities and upstream corresponding amount (tonnes)","Supply Chain Stage EF\n(tCO2e/t)"]
[null,"Retail",{"$f":"IF(retailSelector,'GHG Results'!L23,\nIF('GHG Results'!L16<>\"\",'GHG Results'!L16,\nIF('GHG Results'!L17<>\"\",'GHG Results'!L17,\nMIN('GHG Results'!L18:'GHG Results'!L21)\n)))","v":{"$error":"#N/A"}},{"$f":"INDEX('GHG Results'!$D$10:$L$10,,MATCH(C5,'GHG Results'!$D$4:$L$4,0))","v":0},{"$f":"'Default parameters'!$L$12","v":""}]
[null,"Transport 4",{"$f":"IF(transport4Selector,'GHG Results'!K23,\n'FL-output'!$I$69*\nINDEX('FL-output'!$I$66:$I$69,MATCH(B12,'FL-output'!$B$66:$B$69,0),0))","v":0},{"$f":"D11/(1-C11)","v":{"$error":"#N/A"}},{"$f":"'Default parameters'!$L$8","v":0}]
[null,"Storage 2 (pre-retail)",{"$f":"IF(storage2Selector,'GHG Results'!J23,\nIF('GHG Results'!J16<>\"\",'GHG Results'!J16,\nIF('GHG Results'!J17<>\"\",'GHG Results'!J17,\nMIN('GHG Results'!J18:'GHG Results'!J21)\n)))","v":{"$error":"#N/A"}},{"$f":"D12/(1-C12)","v":{"$error":"#N/A"}},{"$f":"'Default parameters'!$L$10","v":{"$error":"#N/A"}}]
[null,"Transport 3",{"$f":"IF(transport3Selector,'GHG Results'!I23,\n'FL-output'!$I$68*\nINDEX('FL-output'!$I$66:$I$69,MATCH(B14,'FL-output'!$B$66:$B$69,0),0))","v":0},{"$error":"#N/A"},{"$f":"'Default parameters'!$L$7","v":0}]
[null,"Processing",{"$f":"IF(processingSelector,'GHG Results'!H23,\nIF('GHG Results'!H16<>\"\",'GHG Results'!H16,\nIF('GHG Results'!H17<>\"\",'GHG Results'!H17,\nMIN('GHG Results'!H18:'GHG Results'!H21)\n)))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"'Default parameters'!$L$11","v":""}]
[null,"Transport 2",{"$f":"IF(transport2Selector,'GHG Results'!G23,\n'FL-output'!$I$67*\nINDEX('FL-output'!$I$66:$I$69,MATCH(B16,'FL-output'!$B$66:$B$69,0),0))","v":0},{"$error":"#N/A"},{"$f":"'Default parameters'!$L$6","v":0}]
[null,"Storage 1 (pre-processing)",{"$f":"IF(storage1Selector,'GHG Results'!F23,\nIF('GHG Results'!F16<>\"\",'GHG Results'!F16,\nIF('GHG Results'!F17<>\"\",'GHG Results'!F17,\nMIN('GHG Results'!F18:'GHG Results'!F21)\n)))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"'Default parameters'!$L$9","v":{"$error":"#N/A"}}]
[null,"Transport 1",{"$f":"IF(transport1Selector,'GHG Results'!E23,\n'FL-output'!$I$66*\nINDEX('FL-output'!$I$66:$I$69,MATCH(B18,'FL-output'!$B$66:$B$69,0),0))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"'Default parameters'!$L$5","v":{"$error":"#N/A"}}]
[null,"Production (post-harvest)",{"$f":"IF(productionSelector,'GHG Results'!D23,\nIF('GHG Results'!D16<>\"\",'GHG Results'!D16,\nIF('GHG Results'!D17<>\"\",'GHG Results'!D17,\nMIN('GHG Results'!D18:'GHG Results'!D21)\n)))","v":{"$error":"#N/A"}},{"$f":"D18/(1-C18)","v":{"$error":"#N/A"}},{"$f":"'Default parameters'!$E$3","v":{"$error":"#N/A"}}]
[]
[]
[null,null,null,"AVOIDED QUANTITIES AND EMISSIONS PER STAGE",null,null,null,null,null,null,"CORRESPONDING AVOIDED LANDFILL EMISSIONS"]
[null,"Stage","Commodity loss rate (%)","Avoided food loss quantities and upstream corresponding amount (tonnes)","Additional avoided quantities at that stage (tonnes)","Supply Chain Stage EF\n(tCO2e/t)","Avoided GHG from value chain stage (t CO2e)","Landfill Emissions per tonne (tCO2e/tonne)","User Landfill Emissions per tonne (tCO2e/tonne)","Default Landfill rate (%)","User Landfill rate (%)","Avoided losses to landfill (t)","Landfill CO2e emissions per year (tonnes)","Total additional avoided emissions (t CO2e)"]
[null,"Retail",{"$f":"INDEX($C$11:$C$19,MATCH(B24,$B$11:$B$19,0))","v":{"$error":"#N/A"}},{"$f":"INDEX($D$11:$D$19,MATCH(B24,$B$11:$B$19,0))","v":0}]
[null,"Transport 4",{"$f":"INDEX($C$11:$C$19,MATCH(B25,$B$11:$B$19,0))","v":0},{"$f":"INDEX($D$11:$D$19,MATCH(B25,$B$11:$B$19,0))","v":{"$error":"#N/A"}},{"$f":"IF(NumberOfTransportStages>3,D25-D24,0)","v":0},{"$f":"INDEX($E$11:$E$19,MATCH(B25,$B$11:$B$19,0))","v":0},{"$f":"E25*F25","v":0},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B25,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B25,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B25,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B25,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"E25*IF(K25<>0,K25,J25)","v":{"$error":"#N/A"}},{"$f":"IF(NumberOfTransportStages>3,L25*IF(I25<>0,I25,H25),0)","v":0},{"$f":"G25+M25","v":0}]
[null,"Storage 2 (pre-retail)",{"$error":"#N/A"},{"$f":"INDEX($D$11:$D$19,MATCH(B26,$B$11:$B$19,0))","v":{"$error":"#N/A"}},{"$f":"IF(E25=0,D26-D24,D26-D25)","v":{"$error":"#N/A"}},{"$f":"INDEX($E$11:$E$19,MATCH(B26,$B$11:$B$19,0))","v":{"$error":"#N/A"}},{"$f":"E26*F26","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B26,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B26,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B26,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B26,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$f":"L26*IF(I26<>0,I26,H26)","v":{"$error":"#N/A"}},{"$error":"#N/A"}]
[null,"Transport 3",0,{"$error":"#N/A"},{"$f":"IF(NumberOfTransportStages>2,D27-D26,0)","v":0},{"$f":"INDEX($E$11:$E$19,MATCH(B27,$B$11:$B$19,0))","v":0},0,{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B27,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B27,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B27,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B27,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$f":"IF(NumberOfTransportStages>2,L27*IF(I27<>0,I27,H27),0)","v":0},0]
[null,"Processing",{"$f":"INDEX($C$11:$C$19,MATCH(B28,$B$11:$B$19,0))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"IF(E27=0,D28-D26,D28-D27)","v":{"$error":"#N/A"}},{"$f":"INDEX($E$11:$E$19,MATCH(B28,$B$11:$B$19,0))","v":""},{"$error":"#N/A"},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B28,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B28,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B28,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B28,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"Transport 2",{"$f":"INDEX($C$11:$C$19,MATCH(B29,$B$11:$B$19,0))","v":0},{"$error":"#N/A"},{"$f":"IF(NumberOfTransportStages>1,D29-D28,0)","v":0},{"$f":"INDEX($E$11:$E$19,MATCH(B29,$B$11:$B$19,0))","v":0},0,{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B29,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B29,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B29,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B29,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$f":"IF(NumberOfTransportStages>1,L29*IF(I29<>0,I29,H29),0)","v":0},0]
[null,"Storage 1 (pre-processing)",{"$error":"#N/A"},{"$error":"#N/A"},{"$f":"IF(E29=0,D30-D28,D30-D29)","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B30,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B30,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B30,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B30,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"Transport 1",{"$error":"#N/A"},{"$error":"#N/A"},{"$f":"D31-D30","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B31,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B31,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B31,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B31,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"Production (post-harvest)",{"$error":"#N/A"},{"$f":"INDEX($D$11:$D$19,MATCH(B32,$B$11:$B$19,0))","v":{"$error":"#N/A"}},{"$f":"D32-D31","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B32,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B32,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B32,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B32,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"TOTAL",null,null,{"$f":"SUM(E25:E32)","v":{"$error":"#N/A"}},null,{"$f":"SUM(G25:G32)","v":{"$error":"#N/A"}},null,null,null,null,null,{"$f":"SUM(M25:M32)","v":{"$error":"#N/A"}},{"$f":"SUM(N25:N32)","v":{"$error":"#N/A"}}]
[]
[null,"Stage","Transport 4"]
[null,"Intervention selector",{"$f":"transport4Selector","v":false}]
[null,"Additional cumulative upstream losses (tonnes)",{"$f":"E61","v":{"$error":"#N/A"}}]
[null,"Additional cumulative upstream avoided emissions (t CO2e)",{"$f":"N61","v":{"$error":"#N/A"}}]
[]
[null,"Stage","Commodity loss rate (%)","Avoided food loss quantities and upstream corresponding amount (tonnes)","Supply Chain Stage EF\n(tCO2e/t)"]
[null,"Transport 4",{"$f":"IF(transport4Selector,'GHG Results'!$K$23,\n'FL-output'!$I$69*\nINDEX('FL-output'!$I$66:$I$69,MATCH(B41,'FL-output'!$B$66:$B$69,0),0))","v":0},{"$f":"INDEX(totalTonnesLost,,MATCH(C35,'GHG Results'!$D$4:$L$4,0))","v":0},{"$f":"'Default parameters'!$L$8","v":0}]
[null,"Storage 2 (pre-retail)",{"$f":"IF(storage2Selector,'GHG Results'!$J$23,\nIF('GHG Results'!$J$16<>\"\",'GHG Results'!$J$16,\nIF('GHG Results'!$J$17<>\"\",'GHG Results'!$J$17,\nMIN('GHG Results'!$J$18:'GHG Results'!$J$21)\n)))","v":{"$error":"#N/A"}},{"$f":"D41/(1-C41)","v":0},{"$f":"'Default parameters'!$L$10","v":{"$error":"#N/A"}}]
[null,"Transport 3",{"$f":"IF(transport3Selector,'GHG Results'!$I$23,\n'FL-output'!$I$68*\nINDEX('FL-output'!$I$66:$I$69,MATCH(B43,'FL-output'!$B$66:$B$69,0),0))","v":0},{"$error":"#N/A"},{"$f":"'Default parameters'!$L$7","v":0}]
[null,"Processing",{"$f":"IF(processingSelector,'GHG Results'!$H$23,\nIF('GHG Results'!$H$16<>\"\",'GHG Results'!$H$16,\nIF('GHG Results'!$H$17<>\"\",'GHG Results'!$H$17,\nMIN('GHG Results'!$H$18:'GHG Results'!$H$21)\n)))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"'Default parameters'!$L$11","v":""}]
[null,"Transport 2",{"$f":"IF(transport2Selector,'GHG Results'!$G$23,\n'FL-output'!$I$67*\nINDEX('FL-output'!$I$66:$I$69,MATCH(B45,'FL-output'!$B$66:$B$69,0),0))","v":0},{"$error":"#N/A"},{"$f":"'Default parameters'!$L$6","v":0}]
[null,"Storage 1 (pre-processing)",{"$f":"IF(storage1Selector,'GHG Results'!$F$23,\nIF('GHG Results'!$F$16<>\"\",'GHG Results'!$F$16,\nIF('GHG Results'!$F$17<>\"\",'GHG Results'!$F$17,\nMIN('GHG Results'!$F$18:'GHG Results'!$F$21)\n)))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"'Default parameters'!$L$9","v":{"$error":"#N/A"}}]
[null,"Transport 1",{"$f":"IF(transport1Selector,'GHG Results'!$E$23,\n'FL-output'!$I$66*\nINDEX('FL-output'!$I$66:$I$69,MATCH(B47,'FL-output'!$B$66:$B$69,0),0))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"'Default parameters'!$L$5","v":{"$error":"#N/A"}}]
[null,"Production (post-harvest)",{"$f":"IF(productionSelector,'GHG Results'!$D$23,\nIF('GHG Results'!$D$16<>\"\",'GHG Results'!$D$16,\nIF('GHG Results'!$D$17<>\"\",'GHG Results'!$D$17,\nMIN('GHG Results'!$D$18:'GHG Results'!$D$21)\n)))","v":{"$error":"#N/A"}},{"$f":"D47/(1-C47)","v":{"$error":"#N/A"}},{"$f":"'Default parameters'!$E$3","v":{"$error":"#N/A"}}]
[]
[]
[null,null,null,"AVOIDED QUANTITIES AND EMISSIONS PER STAGE",null,null,null,null,null,null,"CORRESPONDING AVOIDED LANDFILL EMISSIONS"]
[null,"Stage","Commodity loss rate (%)","Avoided food loss quantities and upstream corresponding amount (tonnes)","Avoided quantities at that stage (tonnes)","Supply Chain Stage EF\n(tCO2e/t)","Avoided GHG from value chain stage (t CO2e)","Landfill Emissions per tonne (tCO2e/tonne)","User Landfill Emissions per tonne (tCO2e/tonne)","Default Landfill rate (%)","User Landfill rate (%)","Avoided losses to landfill (t)","Landfill CO2e emissions per year (tonnes)","Total additional avoided emissions (t CO2e)"]
[null,"Transport 4",{"$f":"INDEX(C41:C48,MATCH(B53,B41:B48,0))","v":0},{"$f":"INDEX(D41:D48,MATCH(B53,B41:B48,0))","v":0}]
[null,"Storage 2 (pre-retail)",{"$f":"INDEX(C41:C48,MATCH(B54,B41:B48,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(D41:D48,MATCH(B54,B41:B48,0))","v":0},{"$f":"D54-D53","v":0},{"$f":"INDEX(E41:E48,MATCH(B54,B41:B48,0))","v":{"$error":"#N/A"}},{"$f":"E54*F54","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B54,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B54,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B54,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B54,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"E54*IF(K54<>0,K54,J54)","v":{"$error":"#N/A"}},{"$f":"L54*IF(I54<>0,I54,H54)","v":{"$error":"#N/A"}},{"$f":"G54+M54","v":{"$error":"#N/A"}}]
[null,"Transport 3",{"$f":"INDEX(C41:C48,MATCH(B55,B41:B48,0))","v":0},{"$f":"INDEX(D41:D48,MATCH(B55,B41:B48,0))","v":{"$error":"#N/A"}},{"$f":"IF(NumberOfTransportStages>2,D55-D54,0)","v":0},{"$f":"INDEX(E41:E48,MATCH(B55,B41:B48,0))","v":0},{"$f":"E55*F55","v":0},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B55,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B55,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B55,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B55,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$f":"IF(NumberOfTransportStages>2,L55*IF(I55<>0,I55,H55),0)","v":0},0]
[null,"Processing",{"$f":"INDEX(C41:C48,MATCH(B56,B41:B48,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(D41:D48,MATCH(B56,B41:B48,0))","v":{"$error":"#N/A"}},{"$f":"IF(E55=0,D56-D54,D56-D55)","v":{"$error":"#N/A"}},{"$f":"INDEX(E41:E48,MATCH(B56,B41:B48,0))","v":""},{"$error":"#N/A"},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B56,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B56,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B56,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B56,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"Transport 2",{"$f":"INDEX(C41:C48,MATCH(B57,B41:B48,0))","v":0},{"$f":"INDEX(D41:D48,MATCH(B57,B41:B48,0))","v":{"$error":"#N/A"}},{"$f":"IF(NumberOfTransportStages>1,D57-D56,0)","v":0},{"$f":"INDEX(E41:E48,MATCH(B57,B41:B48,0))","v":0},0,{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B57,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B57,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B57,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B57,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$f":"IF(NumberOfTransportStages>1,L57*IF(I57<>0,I57,H57),0)","v":0},0]
[null,"Storage 1 (pre-processing)",{"$f":"INDEX(C41:C48,MATCH(B58,B41:B48,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(D41:D48,MATCH(B58,B41:B48,0))","v":{"$error":"#N/A"}},{"$f":"IF(E57=0,D58-D56,D58-D57)","v":{"$error":"#N/A"}},{"$f":"INDEX(E41:E48,MATCH(B58,B41:B48,0))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B58,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B58,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B58,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B58,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"Transport 1",{"$f":"INDEX(C41:C48,MATCH(B59,B41:B48,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(D41:D48,MATCH(B59,B41:B48,0))","v":{"$error":"#N/A"}},{"$f":"D59-D58","v":{"$error":"#N/A"}},{"$f":"INDEX(E41:E48,MATCH(B59,B41:B48,0))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B59,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B59,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B59,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B59,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"Production (post-harvest)",{"$f":"INDEX(C41:C48,MATCH(B60,B41:B48,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(D41:D48,MATCH(B60,B41:B48,0))","v":{"$error":"#N/A"}},{"$f":"D60-D59","v":{"$error":"#N/A"}},{"$f":"INDEX(E41:E48,MATCH(B60,B41:B48,0))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B60,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B60,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B60,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B60,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"TOTAL",null,null,{"$f":"SUM(E54:E60)","v":{"$error":"#N/A"}},null,{"$f":"SUM(G54:G60)","v":{"$error":"#N/A"}},null,null,null,null,null,{"$f":"SUM(M54:M60)","v":{"$error":"#N/A"}},{"$f":"SUM(N54:N60)","v":{"$error":"#N/A"}}]
[]
[null,"Stage","Storage 2 (pre-retail)"]
[null,"Intervention selector",{"$f":"storage2Selector","v":false}]
[null,"Additional cumulative upstream losses (tonnes)",{"$f":"E86","v":{"$error":"#N/A"}}]
[null,"Additional cumulative upstream avoided emissions (t CO2e)",{"$f":"N86","v":{"$error":"#N/A"}}]
[]
[null,"Stage","Commodity loss rate (%)","Avoided food loss quantities and upstream corresponding amount (tonnes)","Supply Chain Stage EF\n(tCO2e/t)"]
[null,"Storage 2 (pre-retail)",{"$f":"IF(storage2Selector,'GHG Results'!$J$23,\nIF('GHG Results'!$J$16<>\"\",'GHG Results'!$J$16,\nIF('GHG Results'!$J$17<>\"\",'GHG Results'!$J$17,\nMIN('GHG Results'!$J$18:'GHG Results'!$J$21)\n)))","v":{"$error":"#N/A"}},{"$f":"INDEX('GHG Results'!$D$10:$L$10,,MATCH(C63,'GHG Results'!$D$4:$L$4,0))","v":0},{"$f":"'Default parameters'!$L$10","v":{"$error":"#N/A"}}]
[null,"Transport 3",{"$f":"IF(transport3Selector,'GHG Results'!$I$23,\n'FL-output'!$I$68*\nINDEX('FL-output'!$I$66:$I$69,MATCH(B70,'FL-output'!$B$66:$B$69,0),0))","v":0},{"$f":"D69/(1-C69)","v":{"$error":"#N/A"}},{"$f":"'Default parameters'!$L$7","v":0}]
[null,"Processing",{"$f":"IF(processingSelector,'GHG Results'!$H$23,\nIF('GHG Results'!$H$16<>\"\",'GHG Results'!$H$16,\nIF('GHG Results'!$H$17<>\"\",'GHG Results'!$H$17,\nMIN('GHG Results'!$H$18:'GHG Results'!$H$21)\n)))","v":{"$error":"#N/A"}},{"$f":"D70/(1-C70)","v":{"$error":"#N/A"}},{"$f":"'Default parameters'!$L$11","v":""}]
[null,"Transport 2",{"$f":"IF(transport2Selector,'GHG Results'!$G$23,\n'FL-output'!$I$67*\nINDEX('FL-output'!$I$66:$I$69,MATCH(B72,'FL-output'!$B$66:$B$69,0),0))","v":0},{"$error":"#N/A"},{"$f":"'Default parameters'!$L$6","v":0}]
[null,"Storage 1 (pre-processing)",{"$f":"IF(storage1Selector,'GHG Results'!$F$23,\nIF('GHG Results'!$F$16<>\"\",'GHG Results'!$F$16,\nIF('GHG Results'!$F$17<>\"\",'GHG Results'!$F$17,\nMIN('GHG Results'!$F$18:'GHG Results'!$F$21)\n)))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"'Default parameters'!$L$9","v":{"$error":"#N/A"}}]
[null,"Transport 1",{"$f":"IF(transport1Selector,'GHG Results'!$E$23,\n'FL-output'!$I$66*\nINDEX('FL-output'!$I$66:$I$69,MATCH(B74,'FL-output'!$B$66:$B$69,0),0))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"'Default parameters'!$L$5","v":{"$error":"#N/A"}}]
[null,"Production (post-harvest)",{"$f":"IF(productionSelector,'GHG Results'!$D$23,\nIF('GHG Results'!$D$16<>\"\",'GHG Results'!$D$16,\nIF('GHG Results'!$D$17<>\"\",'GHG Results'!$D$17,\nMIN('GHG Results'!$D$18:'GHG Results'!$D$21)\n)))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"'Default parameters'!$E$3","v":{"$error":"#N/A"}}]
[]
[null,null,null,"AVOIDED QUANTITIES AND EMISSIONS PER STAGE",null,null,null,null,null,null,"CORRESPONDING AVOIDED LANDFILL EMISSIONS"]
[null,"Stage","Commodity loss rate (%)","Avoided food loss quantities and upstream corresponding amount (tonnes)","Avoided quantities at that stage (tonnes)","Supply Chain Stage EF\n(tCO2e/t)","Avoided GHG from value chain stage (t CO2e)","Landfill Emissions per tonne (tCO2e/tonne)","User Landfill Emissions per tonne (tCO2e/tonne)","Default Landfill rate (%)","User Landfill rate (%)","Avoided losses to landfill (t)","Landfill CO2e emissions per year (tonnes)","Total additional avoided emissions (t CO2e)"]
[null,"Storage 2 (pre-retail)",{"$f":"INDEX(C69:C75,MATCH(B79,B69:B75,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(D69:D75,MATCH(B79,B69:B75,0))","v":0}]
[null,"Transport 3",{"$f":"INDEX(C69:C75,MATCH(B80,B69:B75,0))","v":0},{"$f":"INDEX(D69:D75,MATCH(B80,B69:B75,0))","v":{"$error":"#N/A"}},{"$f":"IF(NumberOfTransportStages>2,D80-D79,0)","v":0},{"$f":"INDEX(E69:E75,MATCH(B80,B69:B75,0))","v":0},{"$f":"E80*F80","v":0},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B80,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B80,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B80,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B80,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"E80*IF(K80<>0,K80,J80)","v":{"$error":"#N/A"}},{"$f":"IF(NumberOfTransportStages>2,L80*IF(I80<>0,I80,H80),0)","v":0},{"$f":"G80+M80","v":0}]
[null,"Processing",{"$f":"INDEX(C69:C75,MATCH(B81,B69:B75,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(D69:D75,MATCH(B81,B69:B75,0))","v":{"$error":"#N/A"}},{"$f":"IF(E80=0,D81-D79,D81-D80)","v":{"$error":"#N/A"}},{"$f":"INDEX(E69:E75,MATCH(B81,B69:B75,0))","v":""},{"$f":"E81*F81","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B81,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B81,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B81,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B81,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$f":"L81*IF(I81<>0,I81,H81)","v":{"$error":"#N/A"}},{"$error":"#N/A"}]
[null,"Transport 2",{"$f":"INDEX(C69:C75,MATCH(B82,B69:B75,0))","v":0},{"$f":"INDEX(D69:D75,MATCH(B82,B69:B75,0))","v":{"$error":"#N/A"}},{"$f":"IF(NumberOfTransportStages>1,D82-D81,0)","v":0},{"$f":"INDEX(E69:E75,MATCH(B82,B69:B75,0))","v":0},0,{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B82,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B82,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B82,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B82,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$f":"IF(NumberOfTransportStages>1,L82*IF(I82<>0,I82,H82),0)","v":0},0]
[null,"Storage 1 (pre-processing)",{"$f":"INDEX(C69:C75,MATCH(B83,B69:B75,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(D69:D75,MATCH(B83,B69:B75,0))","v":{"$error":"#N/A"}},{"$f":"IF(E82=0,D83-D81,D83-D82)","v":{"$error":"#N/A"}},{"$f":"INDEX(E69:E75,MATCH(B83,B69:B75,0))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B83,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B83,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B83,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B83,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"Transport 1",{"$f":"INDEX(C69:C75,MATCH(B84,B69:B75,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(D69:D75,MATCH(B84,B69:B75,0))","v":{"$error":"#N/A"}},{"$f":"D84-D83","v":{"$error":"#N/A"}},{"$f":"INDEX(E69:E75,MATCH(B84,B69:B75,0))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B84,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B84,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B84,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B84,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"Production (post-harvest)",{"$f":"INDEX(C69:C75,MATCH(B85,B69:B75,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(D69:D75,MATCH(B85,B69:B75,0))","v":{"$error":"#N/A"}},{"$f":"D85-D84","v":{"$error":"#N/A"}},{"$f":"INDEX(E69:E75,MATCH(B85,B69:B75,0))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B85,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B85,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B85,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B85,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"TOTAL",null,null,{"$f":"SUM(E80:E85)","v":{"$error":"#N/A"}},null,{"$f":"SUM(G80:G85)","v":{"$error":"#N/A"}},null,null,null,null,null,{"$f":"SUM(M80:M85)","v":{"$error":"#N/A"}},{"$f":"SUM(N80:N85)","v":{"$error":"#N/A"}}]
[]
[null,"Stage","Transport 3"]
[null,"Intervention selector",{"$f":"transport3Selector","v":false}]
[null,"Additional cumulative upstream losses (tonnes)",{"$f":"E109","v":{"$error":"#N/A"}}]
[null,"Additional cumulative upstream avoided emissions (t CO2e)",{"$f":"N109","v":{"$error":"#VALUE!"}}]
[]
[null,"Stage","Commodity loss rate (%)","Avoided food loss quantities and upstream corresponding amount (tonnes)","Supply Chain Stage EF\n(tCO2e/t)"]
[null,"Transport 3",{"$f":"IF(transport3Selector,'GHG Results'!$I$23,\n'FL-output'!$I$68*\nINDEX('FL-output'!$I$66:$I$69,MATCH(B94,'FL-output'!$B$66:$B$69,0),0))","v":0},{"$f":"INDEX(totalTonnesLost,,MATCH(C88,'GHG Results'!$D$4:$L$4,0))","v":0},{"$f":"'Default parameters'!$L$7","v":0}]
[null,"Processing",{"$f":"IF(processingSelector,'GHG Results'!$H$23,\nIF('GHG Results'!$H$16<>\"\",'GHG Results'!$H$16,\nIF('GHG Results'!$H$17<>\"\",'GHG Results'!$H$17,\nMIN('GHG Results'!$H$18:'GHG Results'!$H$21)\n)))","v":{"$error":"#N/A"}},{"$f":"D94/(1-C94)","v":0},{"$f":"'Default parameters'!$L$11","v":""}]
[null,"Transport 2",{"$f":"IF(transport2Selector,'GHG Results'!$G$23,\n'FL-output'!$I$67*\nINDEX('FL-output'!$I$66:$I$69,MATCH(B96,'FL-output'!$B$66:$B$69,0),0))","v":0},{"$error":"#N/A"},{"$f":"'Default parameters'!$L$6","v":0}]
[null,"Storage 1 (pre-processing)",{"$f":"IF(storage1Selector,'GHG Results'!$F$23,\nIF('GHG Results'!$F$16<>\"\",'GHG Results'!$F$16,\nIF('GHG Results'!$F$17<>\"\",'GHG Results'!$F$17,\nMIN('GHG Results'!$F$18:'GHG Results'!$F$21)\n)))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"'Default parameters'!$L$9","v":{"$error":"#N/A"}}]
[null,"Transport 1",{"$f":"IF(transport1Selector,'GHG Results'!$E$23,\n'FL-output'!$I$66*\nINDEX('FL-output'!$I$66:$I$69,MATCH(B98,'FL-output'!$B$66:$B$69,0),0))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"'Default parameters'!$L$5","v":{"$error":"#N/A"}}]
[null,"Production (post-harvest)",{"$f":"IF(productionSelector,'GHG Results'!$D$23,\nIF('GHG Results'!$D$16<>\"\",'GHG Results'!$D$16,\nIF('GHG Results'!$D$17<>\"\",'GHG Results'!$D$17,\nMIN('GHG Results'!$D$18:'GHG Results'!$D$21)\n)))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"'Default parameters'!$E$3","v":{"$error":"#N/A"}}]
[]
[null,null,null,"AVOIDED QUANTITIES AND EMISSIONS PER STAGE",null,null,null,null,null,null,"CORRESPONDING AVOIDED LANDFILL EMISSIONS"]
[null,"Stage","Commodity loss rate (%)","Avoided food loss quantities and upstream corresponding amount (tonnes)","Avoided quantities at that stage (tonnes)","Supply Chain Stage EF\n(tCO2e/t)","Avoided GHG from value chain stage (t CO2e)","Landfill Emissions per tonne (tCO2e/tonne)","User Landfill Emissions per tonne (tCO2e/tonne)","Default Landfill rate (%)","User Landfill rate (%)","Avoided losses to landfill (t)","Landfill CO2e emissions per year (tonnes)","Total additional avoided emissions (t CO2e)"]
[null,"Transport 3",{"$f":"INDEX(C94:C99,MATCH(B103,B94:B99,0))","v":0},{"$f":"INDEX(D94:D99,MATCH(B103,B94:B99,0))","v":0}]
[null,"Processing",{"$f":"INDEX(C94:C99,MATCH(B104,B94:B99,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(D94:D99,MATCH(B104,B94:B99,0))","v":0},{"$f":"D104-D103","v":0},{"$f":"INDEX(E94:E99,MATCH(B104,B94:B99,0))","v":""},{"$f":"E104*F104","v":{"$error":"#VALUE!"}},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B104,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B104,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B104,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B104,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"E104*IF(K104<>0,K104,J104)","v":{"$error":"#N/A"}},{"$f":"L104*IF(I104<>0,I104,H104)","v":{"$error":"#N/A"}},{"$f":"G104+M104","v":{"$error":"#VALUE!"}}]
[null,"Transport 2",{"$f":"INDEX(C94:C99,MATCH(B105,B94:B99,0))","v":0},{"$f":"INDEX(D94:D99,MATCH(B105,B94:B99,0))","v":{"$error":"#N/A"}},{"$f":"IF(NumberOfTransportStages>1,D105-D104,0)","v":0},{"$f":"INDEX(E94:E99,MATCH(B105,B94:B99,0))","v":0},{"$f":"E105*F105","v":0},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B105,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B105,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B105,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B105,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$f":"IF(NumberOfTransportStages>1,L105*IF(I105<>0,I105,H105),0)","v":0},0]
[null,"Storage 1 (pre-processing)",{"$f":"INDEX(C94:C99,MATCH(B106,B94:B99,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(D94:D99,MATCH(B106,B94:B99,0))","v":{"$error":"#N/A"}},{"$f":"IF(E105=0,D106-D104,D106-D105)","v":{"$error":"#N/A"}},{"$f":"INDEX(E94:E99,MATCH(B106,B94:B99,0))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B106,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B106,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B106,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B106,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"Transport 1",{"$f":"INDEX(C94:C99,MATCH(B107,B94:B99,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(D94:D99,MATCH(B107,B94:B99,0))","v":{"$error":"#N/A"}},{"$f":"D107-D106","v":{"$error":"#N/A"}},{"$f":"INDEX(E94:E99,MATCH(B107,B94:B99,0))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B107,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B107,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B107,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B107,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"Production (post-harvest)",{"$f":"INDEX(C94:C99,MATCH(B108,B94:B99,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(D94:D99,MATCH(B108,B94:B99,0))","v":{"$error":"#N/A"}},{"$f":"D108-D107","v":{"$error":"#N/A"}},{"$f":"INDEX(E94:E99,MATCH(B108,B94:B99,0))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B108,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B108,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B108,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B108,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"TOTAL",null,null,{"$f":"SUM(E104:E108)","v":{"$error":"#N/A"}},null,{"$f":"SUM(G104:G108)","v":{"$error":"#VALUE!"}},null,null,null,null,null,{"$f":"SUM(M104:M108)","v":{"$error":"#N/A"}},{"$f":"SUM(N104:N108)","v":{"$error":"#VALUE!"}}]
[]
[null,"Stage","Processing"]
[null,"Intervention selector",{"$f":"processingSelector","v":false}]
[null,"Additional cumulative upstream losses (tonnes)",{"$f":"E130","v":{"$error":"#N/A"}}]
[null,"Additional cumulative upstream avoided emissions (t CO2e)",{"$f":"N130","v":{"$error":"#N/A"}}]
[]
[null,"Stage","Commodity loss rate (%)","Avoided food loss quantities and upstream corresponding amount (tonnes)","Supply Chain Stage EF\n(tCO2e/t)"]
[null,"Processing",{"$f":"IF(processingSelector,'GHG Results'!$H$23,\nIF('GHG Results'!$H$16<>\"\",'GHG Results'!$H$16,\nIF('GHG Results'!$H$17<>\"\",'GHG Results'!$H$17,\nMIN('GHG Results'!$H$18:'GHG Results'!$H$21)\n)))","v":{"$error":"#N/A"}},{"$f":"INDEX('GHG Results'!$D$10:$L$10,,MATCH(C111,'GHG Results'!$D$4:$L$4,0))","v":0},{"$f":"'Default parameters'!$L$11","v":""}]
[null,"Transport 2",{"$f":"IF(transport2Selector,'GHG Results'!$G$23,\n'FL-output'!$I$67*\nINDEX('FL-output'!$I$66:$I$69,MATCH(B118,'FL-output'!$B$66:$B$69,0),0))","v":0},{"$f":"D117/(1-C117)","v":{"$error":"#N/A"}},{"$f":"'Default parameters'!$L$6","v":0}]
[null,"Storage 1 (pre-processing)",{"$f":"IF(storage1Selector,'GHG Results'!$F$23,\nIF('GHG Results'!$F$16<>\"\",'GHG Results'!$F$16,\nIF('GHG Results'!$F$17<>\"\",'GHG Results'!$F$17,\nMIN('GHG Results'!$F$18:'GHG Results'!$F$21)\n)))","v":{"$error":"#N/A"}},{"$f":"D118/(1-C118)","v":{"$error":"#N/A"}},{"$f":"'Default parameters'!$L$9","v":{"$error":"#N/A"}}]
[null,"Transport 1",{"$f":"IF(transport1Selector,'GHG Results'!$E$23,\n'FL-output'!$I$66*\nINDEX('FL-output'!$I$66:$I$69,MATCH(B120,'FL-output'!$B$66:$B$69,0),0))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"'Default parameters'!$L$5","v":{"$error":"#N/A"}}]
[null,"Production (post-harvest)",{"$f":"IF(productionSelector,'GHG Results'!$D$23,\nIF('GHG Results'!$D$16<>\"\",'GHG Results'!$D$16,\nIF('GHG Results'!$D$17<>\"\",'GHG Results'!$D$17,\nMIN('GHG Results'!$D$18:'GHG Results'!$D$21)\n)))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"'Default parameters'!$E$3","v":{"$error":"#N/A"}}]
[]
[null,null,null,"AVOIDED QUANTITIES AND EMISSIONS PER STAGE",null,null,null,null,null,null,"CORRESPONDING AVOIDED LANDFILL EMISSIONS"]
[null,"Stage","Commodity loss rate (%)","Avoided food loss quantities and upstream corresponding amount (tonnes)","Avoided quantities at that stage (tonnes)","Supply Chain Stage EF\n(tCO2e/t)","Avoided GHG from value chain stage (t CO2e)","Landfill Emissions per tonne (tCO2e/tonne)","User Landfill Emissions per tonne (tCO2e/tonne)","Default Landfill rate (%)","User Landfill rate (%)","Avoided losses to landfill (t)","Landfill CO2e emissions per year (tonnes)","Total additional avoided emissions (t CO2e)"]
[null,"Processing",{"$f":"INDEX(C117:C121,MATCH(B125,B117:B121,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(D117:D121,MATCH(B125,B117:B121,0))","v":0}]
[null,"Transport 2",{"$f":"INDEX(C117:C121,MATCH(B126,B117:B121,0))","v":0},{"$f":"INDEX(D117:D121,MATCH(B126,B117:B121,0))","v":{"$error":"#N/A"}},{"$f":"IF(NumberOfTransportStages>1,D126-D125,0)","v":0},{"$f":"INDEX(E117:E121,MATCH(B126,B117:B121,0))","v":0},{"$f":"E126*F126","v":0},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B126,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B126,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B126,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B126,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"E126*IF(K126<>0,K126,J126)","v":{"$error":"#N/A"}},{"$f":"IF(NumberOfTransportStages>1,L126*IF(I126<>0,I126,H126),0)","v":0},{"$f":"G126+M126","v":0}]
[null,"Storage 1 (pre-processing)",{"$f":"INDEX(C117:C121,MATCH(B127,B117:B121,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(D117:D121,MATCH(B127,B117:B121,0))","v":{"$error":"#N/A"}},{"$f":"IF(E126=0,D127-D125,D127-D126)","v":{"$error":"#N/A"}},{"$f":"INDEX(E117:E121,MATCH(B127,B117:B121,0))","v":{"$error":"#N/A"}},{"$f":"E127*F127","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B127,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B127,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B127,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B127,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$f":"L127*IF(I127<>0,I127,H127)","v":{"$error":"#N/A"}},{"$error":"#N/A"}]
[null,"Transport 1",{"$f":"INDEX(C117:C121,MATCH(B128,B117:B121,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(D117:D121,MATCH(B128,B117:B121,0))","v":{"$error":"#N/A"}},{"$f":"D128-D127","v":{"$error":"#N/A"}},{"$f":"INDEX(E117:E121,MATCH(B128,B117:B121,0))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B128,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B128,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B128,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B128,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"Production (post-harvest)",{"$f":"INDEX(C117:C121,MATCH(B129,B117:B121,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(D117:D121,MATCH(B129,B117:B121,0))","v":{"$error":"#N/A"}},{"$f":"D129-D128","v":{"$error":"#N/A"}},{"$f":"INDEX(E117:E121,MATCH(B129,B117:B121,0))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B129,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B129,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B129,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B129,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"TOTAL",null,null,{"$f":"SUM(E126:E129)","v":{"$error":"#N/A"}},null,{"$f":"SUM(G126:G129)","v":{"$error":"#N/A"}},null,null,null,null,null,{"$f":"SUM(M126:M129)","v":{"$error":"#N/A"}},{"$f":"SUM(N126:N129)","v":{"$error":"#N/A"}}]
[]
[null,"Stage","Transport 2"]
[null,"Intervention selector",{"$f":"transport2Selector","v":false}]
[null,"Additional cumulative upstream losses (tonnes)",{"$f":"E149","v":{"$error":"#N/A"}}]
[null,"Additional cumulative upstream avoided emissions (t CO2e)",{"$f":"N149","v":{"$error":"#N/A"}}]
[]
[null,"Stage","Commodity loss rate (%)","Avoided food loss quantities and upstream corresponding amount (tonnes)","Supply Chain Stage EF\n(tCO2e/t)"]
[null,"Transport 2",{"$f":"IF(transport2Selector,'GHG Results'!$G$23,\n'FL-output'!$I$67*\nINDEX('FL-output'!$I$66:$I$69,MATCH(B138,'FL-output'!$B$66:$B$69,0),0))","v":0},{"$f":"INDEX(totalTonnesLost,,MATCH(C132,'GHG Results'!$D$4:$L$4,0))","v":0},{"$f":"'Default parameters'!$L$6","v":0}]
[null,"Storage 1 (pre-processing)",{"$f":"IF(storage1Selector,'GHG Results'!$F$23,\nIF('GHG Results'!$F$16<>\"\",'GHG Results'!$F$16,\nIF('GHG Results'!$F$17<>\"\",'GHG Results'!$F$17,\nMIN('GHG Results'!$F$18:'GHG Results'!$F$21)\n)))","v":{"$error":"#N/A"}},{"$f":"D138/(1-C138)","v":0},{"$f":"'Default parameters'!$L$9","v":{"$error":"#N/A"}}]
[null,"Transport 1",{"$f":"IF(transport1Selector,'GHG Results'!$E$23,\n'FL-output'!$I$66*\nINDEX('FL-output'!$I$66:$I$69,MATCH(B140,'FL-output'!$B$66:$B$69,0),0))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"'Default parameters'!$L$5","v":{"$error":"#N/A"}}]
[null,"Production (post-harvest)",{"$f":"IF(productionSelector,'GHG Results'!$D$23,\nIF('GHG Results'!$D$16<>\"\",'GHG Results'!$D$16,\nIF('GHG Results'!$D$17<>\"\",'GHG Results'!$D$17,\nMIN('GHG Results'!$D$18:'GHG Results'!$D$21)\n)))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"'Default parameters'!$E$3","v":{"$error":"#N/A"}}]
[]
[null,null,null,"AVOIDED QUANTITIES AND EMISSIONS PER STAGE",null,null,null,null,null,null,"CORRESPONDING AVOIDED LANDFILL EMISSIONS"]
[null,"Stage","Commodity loss rate (%)","Avoided food loss quantities and upstream corresponding amount (tonnes)","Avoided quantities at that stage (tonnes)","Supply Chain Stage EF\n(tCO2e/t)","Avoided GHG from value chain stage (t CO2e)","Landfill Emissions per tonne (tCO2e/tonne)","User Landfill Emissions per tonne (tCO2e/tonne)","Default Landfill rate (%)","User Landfill rate (%)","Avoided losses to landfill (t)","Landfill CO2e emissions per year (tonnes)","Total additional avoided emissions (t CO2e)"]
[null,"Transport 2",{"$f":"INDEX(C138:C141,MATCH(B145,B138:B141,0))","v":0},{"$f":"INDEX(D138:D141,MATCH(B145,B138:B141,0))","v":0}]
[null,"Storage 1 (pre-processing)",{"$f":"INDEX(C138:C141,MATCH(B146,B138:B141,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(D138:D141,MATCH(B146,B138:B141,0))","v":0},{"$f":"D146-D145","v":0},{"$f":"INDEX(E138:E141,MATCH(B146,B138:B141,0))","v":{"$error":"#N/A"}},{"$f":"E146*F146","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B146,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B146,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B146,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B146,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"E146*IF(K146<>0,K146,J146)","v":{"$error":"#N/A"}},{"$f":"L146*IF(I146<>0,I146,H146)","v":{"$error":"#N/A"}},{"$f":"G146+M146","v":{"$error":"#N/A"}}]
[null,"Transport 1",{"$f":"INDEX(C138:C141,MATCH(B147,B138:B141,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(D138:D141,MATCH(B147,B138:B141,0))","v":{"$error":"#N/A"}},{"$f":"D147-D146","v":{"$error":"#N/A"}},{"$f":"INDEX(E138:E141,MATCH(B147,B138:B141,0))","v":{"$error":"#N/A"}},{"$f":"E147*F147","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B147,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B147,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B147,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B147,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"Production (post-harvest)",{"$f":"INDEX(C138:C141,MATCH(B148,B138:B141,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(D138:D141,MATCH(B148,B138:B141,0))","v":{"$error":"#N/A"}},{"$f":"D148-D147","v":{"$error":"#N/A"}},{"$f":"INDEX(E138:E141,MATCH(B148,B138:B141,0))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B148,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B148,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B148,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B148,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"TOTAL",null,null,{"$f":"SUM(E146:E148)","v":{"$error":"#N/A"}},null,{"$f":"SUM(G146:G148)","v":{"$error":"#N/A"}},null,null,null,null,null,{"$f":"SUM(M146:M148)","v":{"$error":"#N/A"}},{"$f":"SUM(N146:N148)","v":{"$error":"#N/A"}}]
[]
[null,"Stage","Storage 1 (pre-processing)"]
[null,"Intervention selector",{"$f":"storage1Selector","v":false}]
[null,"Additional cumulative upstream losses (tonnes)",{"$f":"E166","v":{"$error":"#N/A"}}]
[null,"Additional cumulative upstream avoided emissions (t CO2e)",{"$f":"N166","v":{"$error":"#N/A"}}]
[]
[null,"Stage","Commodity loss rate (%)","Avoided food loss quantities and upstream corresponding amount (tonnes)","Supply Chain Stage EF\n(tCO2e/t)"]
[null,"Storage 1 (pre-processing)",{"$f":"IF(storage1Selector,'GHG Results'!$F$23,\nIF('GHG Results'!$F$16<>\"\",'GHG Results'!$F$16,\nIF('GHG Results'!$F$17<>\"\",'GHG Results'!$F$17,\nMIN('GHG Results'!$F$18:'GHG Results'!$F$21)\n)))","v":{"$error":"#N/A"}},{"$f":"INDEX('GHG Results'!$D$10:$L$10,,MATCH(C151,'GHG Results'!$D$4:$L$4,0))","v":0},{"$f":"'Default parameters'!$L$9","v":{"$error":"#N/A"}}]
[null,"Transport 1",{"$f":"IF(transport1Selector,'GHG Results'!$E$23,\n'FL-output'!$I$66*\nINDEX('FL-output'!$I$66:$I$69,MATCH(B158,'FL-output'!$B$66:$B$69,0),0))","v":{"$error":"#N/A"}},{"$f":"D157/(1-C157)","v":{"$error":"#N/A"}},{"$f":"'Default parameters'!$L$5","v":{"$error":"#N/A"}}]
[null,"Production (post-harvest)",{"$f":"IF(productionSelector,'GHG Results'!$D$23,\nIF('GHG Results'!$D$16<>\"\",'GHG Results'!$D$16,\nIF('GHG Results'!$D$17<>\"\",'GHG Results'!$D$17,\nMIN('GHG Results'!$D$18:'GHG Results'!$D$21)\n)))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$f":"'Default parameters'!$E$3","v":{"$error":"#N/A"}}]
[]
[null,null,null,"AVOIDED QUANTITIES AND EMISSIONS PER STAGE",null,null,null,null,null,null,"CORRESPONDING AVOIDED LANDFILL EMISSIONS"]
[null,"Stage","Commodity loss rate (%)","Avoided food loss quantities and upstream corresponding amount (tonnes)","Avoided quantities at that stage (tonnes)","Supply Chain Stage EF\n(tCO2e/t)","Avoided GHG from value chain stage (t CO2e)","Landfill Emissions per tonne (tCO2e/tonne)","User Landfill Emissions per tonne (tCO2e/tonne)","Default Landfill rate (%)","User Landfill rate (%)","Avoided losses to landfill (t)","Landfill CO2e emissions per year (tonnes)","Total additional avoided emissions (t CO2e)"]
[null,"Storage 1 (pre-processing)",{"$f":"INDEX(C157:C159,MATCH(B163,B157:B159,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(D157:D159,MATCH(B163,B157:B159,0))","v":0}]
[null,"Transport 1",{"$f":"INDEX(C157:C159,MATCH(B164,B157:B159,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(D157:D159,MATCH(B164,B157:B159,0))","v":{"$error":"#N/A"}},{"$f":"D164-D163","v":{"$error":"#N/A"}},{"$f":"INDEX(E157:E159,MATCH(B164,B157:B159,0))","v":{"$error":"#N/A"}},{"$f":"E164*F164","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B164,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B164,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B164,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B164,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"E164*IF(K164<>0,K164,J164)","v":{"$error":"#N/A"}},{"$f":"L164*IF(I164<>0,I164,H164)","v":{"$error":"#N/A"}},{"$f":"G164+M164","v":{"$error":"#N/A"}}]
[null,"Production (post-harvest)",{"$f":"INDEX(C157:C159,MATCH(B165,B157:B159,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(D157:D159,MATCH(B165,B157:B159,0))","v":{"$error":"#N/A"}},{"$f":"D165-D164","v":{"$error":"#N/A"}},{"$f":"INDEX(E157:E159,MATCH(B165,B157:B159,0))","v":{"$error":"#N/A"}},{"$f":"E165*F165","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B165,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B165,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B165,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B165,LandfillEmissions[Value chain stage],0))","v":0},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"TOTAL",null,null,{"$f":"SUM(E164:E165)","v":{"$error":"#N/A"}},null,{"$f":"SUM(G164:G165)","v":{"$error":"#N/A"}},null,null,null,null,null,{"$f":"SUM(M164:M165)","v":{"$error":"#N/A"}},{"$f":"SUM(N164:N165)","v":{"$error":"#N/A"}}]
[]
[null,"Stage","Transport 1"]
[null,"Intervention selector",{"$f":"transport1Selector","v":false}]
[null,"Additional cumulative upstream losses (tonnes)",{"$f":"E181","v":{"$error":"#N/A"}}]
[null,"Additional cumulative upstream avoided emissions (t CO2e)",{"$f":"N181","v":{"$error":"#N/A"}}]
[]
[null,"Stage","Commodity loss rate (%)","Avoided food loss quantities and upstream corresponding amount (tonnes)","Supply Chain Stage EF\n(tCO2e/t)"]
[null,"Transport 1",{"$f":"IF(transport1Selector,'GHG Results'!$E$23,\n'FL-output'!$I$66*\nINDEX('FL-output'!$I$66:$I$69,MATCH(B174,'FL-output'!$B$66:$B$69,0),0))","v":{"$error":"#N/A"}},{"$f":"INDEX(totalTonnesLost,,MATCH(C168,'GHG Results'!$D$4:$L$4,0))","v":0},{"$f":"'Default parameters'!$L$5","v":{"$error":"#N/A"}}]
[null,"Production (post-harvest)",{"$f":"IF(productionSelector,'GHG Results'!$D$23,\nIF('GHG Results'!$D$16<>\"\",'GHG Results'!$D$16,\nIF('GHG Results'!$D$17<>\"\",'GHG Results'!$D$17,\nMIN('GHG Results'!$D$18:'GHG Results'!$D$21)\n)))","v":{"$error":"#N/A"}},{"$f":"D174/(1-C174)","v":{"$error":"#N/A"}},{"$f":"'Default parameters'!$E$3","v":{"$error":"#N/A"}}]
[]
[null,null,null,"AVOIDED QUANTITIES AND EMISSIONS PER STAGE",null,null,null,null,null,null,"CORRESPONDING AVOIDED LANDFILL EMISSIONS"]
[null,"Stage","Commodity loss rate (%)","Avoided food loss quantities and upstream corresponding amount (tonnes)","Avoided quantities at that stage (tonnes)","Supply Chain Stage EF\n(tCO2e/t)","Avoided GHG from value chain stage (t CO2e)","Landfill Emissions per tonne (tCO2e/tonne)","User Landfill Emissions per tonne (tCO2e/tonne)","Default Landfill rate (%)","User Landfill rate (%)","Avoided losses to landfill (t)","Landfill CO2e emissions per year (tonnes)","Total additional avoided emissions (t CO2e)"]
[null,"Transport 1",{"$f":"INDEX(C174:C175,MATCH(B179,B174:B175,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(D174:D175,MATCH(B179,B174:B175,0))","v":0}]
[null,"Production (post-harvest)",{"$f":"INDEX(C174:C175,MATCH(B180,B174:B175,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(D174:D175,MATCH(B180,B174:B175,0))","v":{"$error":"#N/A"}},{"$f":"D180-D179","v":{"$error":"#N/A"}},{"$f":"INDEX(E174:E175,MATCH(B180,B174:B175,0))","v":{"$error":"#N/A"}},{"$f":"E180*F180","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B180,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B180,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B180,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B180,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"E180*IF(K180<>0,K180,J180)","v":{"$error":"#N/A"}},{"$f":"L180*IF(I180<>0,I180,H180)","v":{"$error":"#N/A"}},{"$f":"G180+M180","v":{"$error":"#N/A"}}]
[null,"TOTAL",null,null,{"$f":"E180","v":{"$error":"#N/A"}},null,{"$f":"G180","v":{"$error":"#N/A"}},null,null,null,null,null,{"$f":"M180","v":{"$error":"#N/A"}},{"$f":"N180","v":{"$error":"#N/A"}}]
[]
[null,"Stage","Production (post-harvest)"]
[null,"Intervention selector",{"$f":"transport1Selector","v":false}]
[null,"Additional cumulative upstream losses (tonnes)"]
[null,"Additional cumulative upstream avoided emissions (t CO2e)"]
[]
[null,"Stage","Commodity loss rate (%)","Avoided food loss quantities and upstream corresponding amount (tonnes)","Supply Chain Stage EF\n(tCO2e/t)"]
[null,"Production (post-harvest)",{"$f":"IF(productionSelector,'GHG Results'!$D$23,\nIF('GHG Results'!$D$16<>\"\",'GHG Results'!$D$16,\nIF('GHG Results'!$D$17<>\"\",'GHG Results'!$D$17,\nMIN('GHG Results'!$D$18:'GHG Results'!$D$21)\n)))","v":{"$error":"#N/A"}},{"$f":"INDEX(totalTonnesLost,,MATCH(C183,'GHG Results'!$D$4:$L$4,0))","v":0},{"$f":"'Default parameters'!$E$3","v":{"$error":"#N/A"}}]
[]
[null,null,null,"AVOIDED QUANTITIES AND EMISSIONS PER STAGE",null,null,null,null,null,null,"CORRESPONDING AVOIDED LANDFILL EMISSIONS"]
[null,"Stage","Commodity loss rate (%)","Avoided food loss quantities and upstream corresponding amount (tonnes)","Avoided quantities at that stage (tonnes)","Supply Chain Stage EF\n(tCO2e/t)","Avoided GHG from value chain stage (t CO2e)","Landfill Emissions per tonne (tCO2e/tonne)","User Landfill Emissions per tonne (tCO2e/tonne)","Default Landfill rate (%)","User Landfill rate (%)","Avoided losses to landfill (t)","Landfill CO2e emissions per year (tonnes)"]
[null,"Production (post-harvest)",{"$f":"INDEX(C189:C189,MATCH(B193,B189:B189,0))","v":{"$error":"#N/A"}},{"$f":"INDEX(D189:D189,MATCH(B193,B189:B189,0))","v":0},{"$f":"D193","v":0},{"$f":"INDEX(E189:E189,MATCH(B193,B189:B189,0))","v":{"$error":"#N/A"}},{"$f":"D193*F193","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B193,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[User Emissions per tonne (tCO2e/tonne of commodity)],MATCH(B193,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"INDEX(LandfillEmissions[Default Landfill rate (%)],MATCH(B193,LandfillEmissions[Value chain stage],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(LandfillEmissions[User Landfill rate (%)],MATCH(B193,LandfillEmissions[Value chain stage],0))","v":0},{"$f":"E193*IF(K193<>0,K193,J193)","v":{"$error":"#N/A"}},{"$f":"L193*IF(I193<>0,I193,H193)","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,{"$f":"SUM(G193)","v":{"$error":"#N/A"}}]

{"sheet":"Water footprint >>","index":77,"n_rows":0,"n_cols":0,"rows_kept":0,"cut":false,"hidden":true,"merged":[]}

{"sheet":"WF-output","index":78,"n_rows":24,"n_cols":6,"rows_kept":24,"cut":false,"hidden":true,"merged":[]}
[]
[null,"Water footprint - Outputs"]
[]
[null,"Tool commodity name",{"$f":"commodity","v":0}]
[null,"Tool commodity group",{"$f":"commodityGroup","v":""}]
[null,"Production system",{"$f":"farmingType","v":0}]
[]
[null,"Production country name",{"$f":"countryOfProduction","v":{"$error":"#N/A"}}]
[null,"Production region name",{"$f":"INDEX(CountryList[Region],MATCH('WF-output'!C8,CountryList[IFC Country],0))","v":{"$error":"#N/A"}}]
[]
[null,"WFN commodity name",{"$f":"INDEX(Table127[WFN Commodity list],MATCH($C$4,Table127[Tool commodity list],0))","v":{"$error":"#N/A"}}]
[null,"WFN country name",{"$f":"INDEX(CountryMapping[Water Footprint Network],MATCH($C$8,CountryMapping[Tool country list],0))","v":{"$error":"#N/A"}}]
[null,"WFN production system",{"$f":"IF(OR(commodity=\"Cheese\",commodity=\"Butter\",commodity=\"Yoghurt\"),\"Grazing\",\nINDEX(Table154[WFN production type],MATCH('WF-output'!$C$6,Table154[Tool production type],0)))","v":{"$error":"#N/A"}}]
[]
[null,"Water footprint (m3/tonne) - Crops","Output","National","Regional","Global"]
[null,"Green",{"$f":"IF(D16<>\"\",D16,IF(E16<>\"\",E16,F16))","v":{"$error":"#N/A"}},{"$f":"INDEX(WFCountryGreen[#All],MATCH(WFcountry,WFCountryGreen[[#All],[WFN country name]],0),MATCH(WFcomm,WFCountryGreen[#Headers],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(WFRegionGreen[#All],MATCH(WFregion,WFRegionGreen[[#All],[Region]],0),MATCH(WFcomm,WFRegionGreen[#Headers],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(WFGlobalGreen[],MATCH(WFcomm,WFGlobalGreen[#Headers],0))","v":{"$error":"#N/A"}}]
[null,"Blue",{"$f":"IF(D17<>\"\",D17,IF(E17<>\"\",E17,F17))","v":{"$error":"#N/A"}},{"$f":"INDEX(WFCountryBlue[#All],MATCH(WFcountry,WFCountryBlue[[#All],[WFN country name]],0),MATCH(WFcomm,WFCountryBlue[#Headers],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(WFRegionBlue[#All],MATCH(WFregion,WFRegionBlue[[#All],[Region]],0),MATCH(WFcomm,WFRegionBlue[#Headers],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(WFGlobalBlue[],MATCH(WFcomm,WFGlobalBlue[#Headers],0))","v":{"$error":"#N/A"}}]
[null,"Grey",{"$f":"IF(D18<>\"\",D18,IF(E18<>\"\",E18,F18))","v":{"$error":"#N/A"}},{"$f":"INDEX(WFCountryGrey[#All],MATCH(WFcountry,WFCountryGrey[[#All],[WFN country name]],0),MATCH(WFcomm,WFCountryGrey[#Headers],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(WFRegionGrey[#All],MATCH(WFregion,WFRegionGrey[[#All],[Region]],0),MATCH(WFcomm,WFRegionGrey[#Headers],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(WFGlobalGrey[],MATCH(WFcomm,WFGlobalGrey[#Headers],0))","v":{"$error":"#N/A"}}]
[]
[]
[null,"Water footprint (m3/tonne) - Animal proteins","Output","National","Regional","Global"]
[null,"Green",{"$f":"IF(D22<>\"\",D22,IF(E22<>\"\",E22,F22))","v":{"$error":"#N/A"}},{"$f":"INDEX(WFCountryGreenAP[#All],MATCH(WFcountry&WFprodtype,WFCountryGreenAP[[#All],[WFN country name]]&WFCountryGreenAP[[#All],[Production system]],0),MATCH(WFcomm,WFCountryGreenAP[#Headers],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(WFRegionGreenAP[#All],MATCH(WFregion&WFprodtype,WFRegionGreenAP[[#All],[Region]]&WFRegionGreenAP[[#All],[Production system]],0),MATCH(WFcomm,WFRegionGreenAP[#Headers],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(WFGlobalGreenAP[],MATCH(WFprodtype,WFGlobalGreenAP[[#All],[Production system]],0),MATCH(WFcomm,WFGlobalGreenAP[#Headers],0))","v":{"$error":"#N/A"}}]
[null,"Blue",{"$f":"IF(D23<>\"\",D23,IF(E23<>\"\",E23,F23))","v":{"$error":"#N/A"}},{"$f":"INDEX(WFCountryBlueAP[#All],MATCH(WFcountry&WFprodtype,WFCountryBlueAP[[#All],[WFN country name]]&WFCountryBlueAP[[#All],[Production system]],0),MATCH(WFcomm,WFCountryBlueAP[#Headers],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(WFRegionBlueAP[#All],MATCH(WFregion&WFprodtype,WFRegionBlueAP[[#All],[Region]]&WFRegionBlueAP[[#All],[Production system]],0),MATCH(WFcomm,WFRegionBlueAP[#Headers],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(WFGlobalBlueAP[],MATCH(WFprodtype,WFGlobalBlueAP[[#All],[Production system]],0),MATCH(WFcomm,WFGlobalBlueAP[#Headers],0))","v":{"$error":"#N/A"}}]
[null,"Grey",{"$f":"IF(D24<>\"\",D24,IF(E24<>\"\",E24,F24))","v":{"$error":"#N/A"}},{"$f":"INDEX(WFCountryGreyAP[#All],MATCH(WFcountry&WFprodtype,WFCountryGreyAP[[#All],[WFN country name]]&WFCountryGreyAP[[#All],[Production system]],0),MATCH(WFcomm,WFCountryGreyAP[#Headers],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(WFRegionGreyAP[#All],MATCH(WFregion&WFprodtype,WFRegionGreyAP[[#All],[Region]]&WFRegionGreyAP[[#All],[Production system]],0),MATCH(WFcomm,WFRegionGreyAP[#Headers],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(WFGlobalGreyAP[],MATCH(WFprodtype,WFGlobalGreyAP[[#All],[Production system]],0),MATCH(WFcomm,WFGlobalGreyAP[#Headers],0))","v":{"$error":"#N/A"}}]

{"sheet":"WF-map","index":79,"n_rows":231,"n_cols":7,"rows_kept":231,"cut":false,"hidden":true,"merged":[]}
[]
[null,"Commodity mapping - water data"]
[null,"Maps tool commodity names with commodities included in the Water Footprint Network crop database. "]
[]
[]
[null,"Tool commodity list","WFN Commodity list","Commodity group",null,"Tool production type","WFN production type"]
[null,"Almonds","Almonds, with shell","Crops",null,"Aggregated (if type unknown)","Weighted average"]
[null,"Apples","Apples","Crops",null,"Grassland (mostly extensive grazing)","Grazing"]
[null,"Avocados","Avocados","Crops",null,"Mixed (grazing and grains)","Mixed"]
[null,"Bananas","Bananas","Crops",null,"Grass+lot (grazed with feedlot finishing)","Industrial"]
[null,"Barley","Barley","Crops",null,"Mixed+lot (mixed with feedlot finishing)","Industrial"]
[null,"Beans (dry)","Beans, dry","Crops"]
[null,"Buckwheat","Buckwheat","Crops"]
[null,"Carrots","Carrots and turnips","Crops"]
[null,"Cashew nuts","Cashew nuts","Crops"]
[null,"Cassava (fresh)","Cassava","Crops"]
[null,"Chickpeas (dry)","Chick peas","Crops"]
[null,"Cocoa","Cocoa beans","Crops"]
[null,"Coffee","Coffee, green","Crops"]
[null,"Cotton","Fibre Crops Nes","Crops"]
[null,"Flour",null,"Crops"]
[null,"Garlic (green)","Garlic","Crops"]
[null,"Ginger","Ginger","Crops"]
[null,"Grapes","Grapes","Crops"]
[null,"Lemons","Lemons and limes","Crops"]
[null,"Lentils","Lentils","Crops"]
[null,"Lettuce","Lettuce and chicory","Crops"]
[null,"Maize","Maize","Crops"]
[null,"Mangoes","Mangoes, mangosteens, guavas","Crops"]
[null,"Millet","Millet","Crops"]
[null,"Mushrooms",null,"Crops"]
[null,"Oats","Oats","Crops"]
[null,"Onions, dry","Onions, dry","Crops"]
[null,"Oranges","Oranges","Crops"]
[null,"Peanuts","Nuts, nes","Crops"]
[null,"Peas (dry)","Peas, dry","Crops"]
[null,"Peppers","Pepper (Piper spp.)","Crops"]
[null,"Pineapples","Pineapples","Crops"]
[null,"Potatoes","Potatoes","Crops"]
[null,"Quinoa","Quinoa","Crops"]
[null,"Rapeseeds","Rapeseed","Crops"]
[null,"Rice","Rice, paddy","Crops"]
[null,"Rye","Rye","Crops"]
[null,"Sesame seed","Sesame seed","Crops"]
[null,"Sorghum","Sorghum","Crops"]
[null,"Soybeans","Soybeans","Crops"]
[null,"Sugar cane","Sugar cane","Crops"]
[null,"Sunflower oil","Sunflower seed","Crops"]
[null,"Sunflower seeds","Sunflower seed","Crops"]
[null,"Sweet potatoes","Sweet potatoes","Crops"]
[null,"Tomatoes","Tomatoes","Crops"]
[null,"Wheat","Wheat","Crops"]
[null,null,"Agave Fibres Nes","Crops"]
[null,null,"Anise, badian, fennel, corian.","Crops"]
[null,null,"Apricots","Crops"]
[null,null,"Arecanuts","Crops"]
[null,null,"Artichokes","Crops"]
[null,"Asparagus","Asparagus","Crops"]
[null,null,"Bambara beans","Crops"]
[null,null,"Beans, green","Crops"]
[null,null,"Berries Nes","Crops"]
[null,"Blueberries","Blueberries","Crops"]
[null,null,"Brazil nuts, with shell","Crops"]
[null,null,"Broad beans, horse beans, dry","Crops"]
[null,null,"Cabbages and other brassicas","Crops"]
[null,null,"Canary seed","Crops"]
[null,null,"Carobs","Crops"]
[null,null,"Cashewapple","Crops"]
[null,null,"Castor oil seed","Crops"]
[null,"Broccoli","Cauliflowers and broccoli","Crops"]
[null,null,"Cereals, nes","Crops"]
[null,"Cherries","Cherries","Crops"]
[null,null,"Chestnuts","Crops"]
[null,null,"Chillies and peppers, dry","Crops"]
[null,"Sweet peppers","Chillies and peppers, green","Crops"]
[null,null,"Cinnamon (canella)","Crops"]
[null,null,"Citrus fruit, nes","Crops"]
[null,null,"Cloves","Crops"]
[null,"Coconuts","Coconuts","Crops"]
[null,null,"Cow peas, dry","Crops"]
[null,null,"Cranberries","Crops"]
[null,"Cucumbers","Cucumbers and gherkins","Crops"]
[null,null,"Currants","Crops"]
[null,null,"Dates","Crops"]
[null,null,"Eggplants (aubergines)","Crops"]
[null,null,"Figs","Crops"]
[null,null,"Flax fibre and tow","Crops"]
[null,null,"Fonio","Crops"]
[null,null,"Fruit Fresh Nes","Crops"]
[null,null,"Fruit, tropical fresh nes","Crops"]
[null,null,"Gooseberries","Crops"]
[null,null,"Grapefruit (inc. pomelos)","Crops"]
[null,null,"Groundnuts in shell","Crops"]
[null,"Hazelnuts","Hazelnuts, with shell","Crops"]
[null,null,"Hemp Tow Waste","Crops"]
[null,null,"Hempseed","Crops"]
[null,null,"Hops","Crops"]
[null,null,"Jute","Crops"]
[null,null,"Kiwi fruit","Crops"]
[null,null,"Kolanuts","Crops"]
[null,null,"Linseed","Crops"]
[null,null,"Lupins","Crops"]
[null,null,"Maize, green","Crops"]
[null,null,"Manila Fibre (Abaca)","Crops"]
[null,null,"Melonseed","Crops"]
[null,null,"Mixed grain","Crops"]
[null,null,"Mustard seed","Crops"]
[null,null,"Natural rubber","Crops"]
[null,null,"Nutmeg, mace and cardamoms","Crops"]
[null,"Palm oil","Oil palm","Crops"]
[null,null,"Oilseeds, Nes","Crops"]
[null,null,"Okra","Crops"]
[null,"Olive oil","Olives","Crops"]
[null,"Onions (fresh)","Onions (inc. shallots), green","Crops"]
[null,null,"Other Bastfibres","Crops"]
[null,null,"Other melons (inc.cantaloupes)","Crops"]
[null,null,"Papayas","Crops"]
[null,null,"Peaches and nectarines","Crops"]
[null,"Pears","Pears","Crops"]
[null,null,"Peas, green","Crops"]
[null,null,"Peppermint","Crops"]
[null,null,"Pigeon peas","Crops"]
[null,"Pistachios","Pistachios","Crops"]
[null,null,"Plantains","Crops"]
[null,null,"Plums and sloes","Crops"]
[null,null,"Poppy seed","Crops"]
[null,null,"Pulses nes","Crops"]
[null,null,"Pumpkins, squash and gourds","Crops"]
[null,null,"Ramie","Crops"]
[null,"Raspberries","Raspberries","Crops"]
[null,null,"Roots and tubers nes","Crops"]
[null,null,"Safflower seed","Crops"]
[null,"Cotton seed oil","Seed cotton","Crops"]
[null,null,"Sisal","Crops"]
[null,null,"Sour cherries","Crops"]
[null,null,"Spices, nes","Crops"]
[null,"Spinach","Spinach","Crops"]
[null,"Litchi","Stone fruit, nes","Crops"]
[null,"Strawberries","Strawberries","Crops"]
[null,null,"String beans","Crops"]
[null,null,"Sugar beet","Crops"]
[null,null,"Sugar crops, nes","Crops"]
[null,"Mandarins","Tangerines, mandarins, clem.","Crops"]
[null,null,"Taro (coco yam)","Crops"]
[null,null,"Tea","Crops"]
[null,null,"Tobacco, unmanufactured","Crops"]
[null,null,"Triticale","Crops"]
[null,null,"Vanilla","Crops"]
[null,null,"Vegetables fresh nes","Crops"]
[null,null,"Vetches","Crops"]
[null,"Walnuts","Walnuts, with shell","Crops"]
[null,"Watermelons","Watermelons","Crops"]
[null,null,"Yams","Crops"]
[null,null,"Yautia (cocoyam)","Crops"]
[null,"Eggs","Egg,unshelld;ylk,not dry","Animal protein"]
[null,"Meat (cattle)","Bovine meat,fh,ch,bnless","Animal protein"]
[null,"Meat (chicken)","Poultry,prprd,prsrvd,nes","Animal protein"]
[null,"Meat (pig)","Meat of swine,frsh,chlld","Animal protein"]
[null,"Milk (cattle)","Milk,fat cont.1% or less","Animal protein"]
[null,null,"Asses, mules, hinnies","Animal protein"]
[null,null,"Bellies (streaky)","Animal protein"]
[null,null,"Birds' eggs, in shell","Animal protein"]
[null,null,"Blue-veined cheese","Animal protein"]
[null,null,"Bov.animals,pure,breedng","Animal protein"]
[null,null,"Bov.meat,dried,smkd,salt","Animal protein"]
[null,null,"Bov.meat,prpd,prsrvd,nes","Animal protein"]
[null,null,"Bovine hides,skins,fresh","Animal protein"]
[null,null,"Bovine hides,skins,other","Animal protein"]
[null,null,"Bovine meat,fh,ch,bnless","Animal protein"]
[null,null,"Bovine meat,fh,ch,w.bone","Animal protein"]
[null,null,"Bovine meat,frozn,w.bone","Animal protein"]
[null,null,"Bovine meat,frz,boneless","Animal protein"]
[null,null,"Bovine semen","Animal protein"]
[null,null,"Bristle,hair for brushes","Animal protein"]
[null,"Butter","butter","Animal protein"]
[null,null,"Buttermilk","Animal protein"]
[null,null,"Cheese, powdered, grated","Animal protein"]
[null,null,"Cream,fat content 6%+","Animal protein"]
[null,null,"Ed.off.sheep,horse,fh,ch","Animal protein"]
[null,null,"Ed.off.sheep,horse,frozn","Animal protein"]
[null,null,"Edible offal,bov.,frozen","Animal protein"]
[null,null,"Edible offal,bov.frsh,ch","Animal protein"]
[null,null,"Edible offal,swine,fh,ch","Animal protein"]
[null,null,"Edible offal,swine,frzen","Animal protein"]
[null,null,"Egg,unshelld;ylk,not dry","Animal protein"]
[null,null,"Egg,unshelld;yolks,dried","Animal protein"]
[null,null,"Equine hides,skins","Animal protein"]
[null,null,"Fresh cheese,unfermented","Animal protein"]
[null,null,"Goat,kid skin,ex.furskin","Animal protein"]
[null,null,"Goats, live","Animal protein"]
[null,null,"Goatskin leather,preprd","Animal protein"]
[null,null,"Goatskin leather,tanned","Animal protein"]
[null,null,"Hams,shoulders with bone","Animal protein"]
[null,null,"Horsehair and waste","Animal protein"]
[null,null,"Horses","Animal protein"]
[null,null,"Leather of swine","Animal protein"]
[null,null,"Meat of goats","Animal protein"]
[null,null,"Meat of horses,mules,etc","Animal protein"]
[null,null,"Meat of sheep, frozen","Animal protein"]
[null,null,"Meat of sheep,frsh,chlld","Animal protein"]
[null,null,"Meat of swine, frozen","Animal protein"]
[null,null,"Meat of swine,frsh,chlld","Animal protein"]
[null,null,"Milk products nes","Animal protein"]
[null,null,"Milk,cream fat cont.1-6%","Animal protein"]
[null,null,"Milk,cream unsweetened","Animal protein"]
[null,null,"Milk,cream, sweetened","Animal protein"]
[null,null,"Milk,crm solid 1.5%+ fat","Animal protein"]
[null,null,"Milk,fat cont.1% or less","Animal protein"]
[null,null,"Milk,solid, to 1.5% fat","Animal protein"]
[null,null,"Oth.bov.,eqn.lthr,preprd","Animal protein"]
[null,null,"Oth.bov.,eqn.lthr,tanned","Animal protein"]
[null,null,"Oth.pigmeat,dry,salt,smk","Animal protein"]
[null,null,"Other bovine animals","Animal protein"]
[null,null,"Other cheese, curd","Animal protein"]
[null,null,"Other swine, live","Animal protein"]
[null,null,"Pig,poultry fat unrendrd","Animal protein"]
[null,null,"Pork,prepred,presrvd,nes","Animal protein"]
[null,null,"Poultry, live, to 185g","Animal protein"]
[null,null,"Poultry, live,over 185g","Animal protein"]
[null,null,"Poultry,prprd,prsrvd,nes","Animal protein"]
[null,"Cheese","Processed cheese, whole","Animal protein"]
[null,null,"Sheep skin without wool","Animal protein"]
[null,null,"Sheep skin,excpt.furskin","Animal protein"]
[null,null,"Sheep, live","Animal protein"]
[null,null,"Sheepskin leather,preprd","Animal protein"]
[null,null,"Sheepskin leather,tanned","Animal protein"]
[null,null,"Swine,pure,for breeding","Animal protein"]
[null,null,"Whey","Animal protein"]
[null,null,"Whole bovin.hide<8kg dry","Animal protein"]
[null,null,"Whole bovine skin leathr","Animal protein"]
[null,"Yoghurt","Yogurt","Animal protein"]

{"sheet":"WF-cr-green","index":80,"n_rows":242,"n_cols":68,"rows_kept":242,"cut":false,"hidden":true,"merged":[]}
[]
[null,"Crop water footprint - Green"]
[]
[null,"Water footprint type","Green"]
[]
[null,"Tool commodity name","Almonds","Apples","Asparagus","Avocados","Bananas","Barley","Beans (dry)","Blueberries","Broccoli","Buckwheat","Carrots","Cashew nuts","Cassava (fresh)","Cherries","Chickpeas (dry)","Cocoa","Coconuts","Coffee","Cotton","Cotton seed oil","Cucumbers","Garlic (green)","Ginger","Grapes","Hazelnuts","Lemons","Lentils","Lettuce","Litchi","Maize","Mandarins","Mangoes","Millet","Oats","Olives","Onions (fresh)","Onions, dry","Oranges","Palm fruit","Peanuts","Pears","Peas (dry)","Peppers","Pineapples","Pistachios","Potatoes","Quinoa","Rapeseeds","Raspberries","Rice","Rye","Sesame seed","Sorghum","Soybeans","Spinach","Strawberries","Sugar cane","Sunflower seeds","Sweet peppers","Sweet potatoes","Tomatoes","Walnuts","Watermelons","Wheat"]
[null,"WFN commodity name",{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!C$6,Table127[Tool commodity list],0))","v":"Almonds, with shell"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!D$6,Table127[Tool commodity list],0))","v":"Apples"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!E$6,Table127[Tool commodity list],0))","v":"Asparagus"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!F$6,Table127[Tool commodity list],0))","v":"Avocados"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!G$6,Table127[Tool commodity list],0))","v":"Bananas"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!H$6,Table127[Tool commodity list],0))","v":"Barley"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!I$6,Table127[Tool commodity list],0))","v":"Beans, dry"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!J$6,Table127[Tool commodity list],0))","v":"Blueberries"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!K$6,Table127[Tool commodity list],0))","v":"Cauliflowers and broccoli"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!L$6,Table127[Tool commodity list],0))","v":"Buckwheat"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!M$6,Table127[Tool commodity list],0))","v":"Carrots and turnips"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!N$6,Table127[Tool commodity list],0))","v":"Cashew nuts"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!O$6,Table127[Tool commodity list],0))","v":"Cassava"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!P$6,Table127[Tool commodity list],0))","v":"Cherries"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!Q$6,Table127[Tool commodity list],0))","v":"Chick peas"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!R$6,Table127[Tool commodity list],0))","v":"Cocoa beans"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!S$6,Table127[Tool commodity list],0))","v":"Coconuts"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!T$6,Table127[Tool commodity list],0))","v":"Coffee, green"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!U$6,Table127[Tool commodity list],0))","v":"Fibre Crops Nes"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!V$6,Table127[Tool commodity list],0))","v":"Seed cotton"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!W$6,Table127[Tool commodity list],0))","v":"Cucumbers and gherkins"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!X$6,Table127[Tool commodity list],0))","v":"Garlic"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!Y$6,Table127[Tool commodity list],0))","v":"Ginger"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!Z$6,Table127[Tool commodity list],0))","v":"Grapes"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!AA$6,Table127[Tool commodity list],0))","v":"Hazelnuts, with shell"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!AB$6,Table127[Tool commodity list],0))","v":"Lemons and limes"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!AC$6,Table127[Tool commodity list],0))","v":"Lentils"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!AD$6,Table127[Tool commodity list],0))","v":"Lettuce and chicory"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!AE$6,Table127[Tool commodity list],0))","v":"Stone fruit, nes"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!AF$6,Table127[Tool commodity list],0))","v":"Maize"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!AG$6,Table127[Tool commodity list],0))","v":"Tangerines, mandarins, clem."},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!AH$6,Table127[Tool commodity list],0))","v":"Mangoes, mangosteens, guavas"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!AI$6,Table127[Tool commodity list],0))","v":"Millet"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!AJ$6,Table127[Tool commodity list],0))","v":"Oats"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!AK$6,Table127[Tool commodity list],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!AL$6,Table127[Tool commodity list],0))","v":"Onions (inc. shallots), green"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!AM$6,Table127[Tool commodity list],0))","v":"Onions, dry"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!AN$6,Table127[Tool commodity list],0))","v":"Oranges"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!AO$6,Table127[Tool commodity list],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!AP$6,Table127[Tool commodity list],0))","v":"Nuts, nes"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!AQ$6,Table127[Tool commodity list],0))","v":"Pears"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!AR$6,Table127[Tool commodity list],0))","v":"Peas, dry"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!AS$6,Table127[Tool commodity list],0))","v":"Pepper (Piper spp.)"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!AT$6,Table127[Tool commodity list],0))","v":"Pineapples"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!AU$6,Table127[Tool commodity list],0))","v":"Pistachios"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!AV$6,Table127[Tool commodity list],0))","v":"Potatoes"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!AW$6,Table127[Tool commodity list],0))","v":"Quinoa"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!AX$6,Table127[Tool commodity list],0))","v":"Rapeseed"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!AY$6,Table127[Tool commodity list],0))","v":"Raspberries"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!AZ$6,Table127[Tool commodity list],0))","v":"Rice, paddy"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!BA$6,Table127[Tool commodity list],0))","v":"Rye"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!BB$6,Table127[Tool commodity list],0))","v":"Sesame seed"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!BC$6,Table127[Tool commodity list],0))","v":"Sorghum"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!BD$6,Table127[Tool commodity list],0))","v":"Soybeans"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!BE$6,Table127[Tool commodity list],0))","v":"Spinach"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!BF$6,Table127[Tool commodity list],0))","v":"Strawberries"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!BG$6,Table127[Tool commodity list],0))","v":"Sugar cane"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!BH$6,Table127[Tool commodity list],0))","v":"Sunflower seed"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!BI$6,Table127[Tool commodity list],0))","v":"Chillies and peppers, green"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!BJ$6,Table127[Tool commodity list],0))","v":"Sweet potatoes"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!BK$6,Table127[Tool commodity list],0))","v":"Tomatoes"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!BL$6,Table127[Tool commodity list],0))","v":"Walnuts, with shell"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!BM$6,Table127[Tool commodity list],0))","v":"Watermelons"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-green'!BN$6,Table127[Tool commodity list],0))","v":"Wheat"}]
[null,"^^ used to populate headers for the table below"]
[]
[null,"Region","Almonds, with shell","Apples","Asparagus","Avocados","Bananas","Barley","Beans, dry","Blueberries","Cauliflowers and broccoli","Buckwheat","Carrots and turnips","Cashew nuts","Cassava","Cherries","Chick peas","Cocoa beans","Coconuts","Coffee, green","Fibre Crops Nes","Seed cotton","Cucumbers and gherkins","Garlic","Ginger","Grapes","Hazelnuts, with shell","Lemons and limes","Lentils","Lettuce and chicory","Stone fruit, nes","Maize","Tangerines, mandarins, clem.","Mangoes, mangosteens, guavas","Millet","Oats","Olives","Onions (inc. shallots), green","Onions, dry","Oranges","Oil palm","Nuts, nes","Pears","Peas, dry","Pepper (Piper spp.)","Pineapples","Pistachios","Potatoes","Quinoa","Rapeseed","Raspberries","Rice, paddy","Rye","Sesame seed","Sorghum","Soybeans","Spinach","Strawberries","Sugar cane","Sunflower seed","Chillies and peppers, green","Sweet potatoes","Tomatoes","Walnuts, with shell","Watermelons","Wheat"]
[null,"Global",{"$f":"AVERAGE(INDIRECT(\"WFRegionGreen[\"&C$10&\"]\"))","v":5304.447890959671},{"$f":"AVERAGE(INDIRECT(\"WFRegionGreen[\"&D$10&\"]\"))","v":907.30990766928721},1240.0842963246921,962.48269195503678,889.84080394945192,2168.8212852527363,2717.6802214883915,360.24470233578069,245.33082260996687,2749.7065458808097,203.53772371577662,18755.487534923708,763.22736974100826,1599.8019566786186,2154.229293644632,50276.483267699776,3136.3746831984326,22181.256368850747,11443.812990376084,3093.5293394753144,258.08597480046848,525.49221294006452,1081.4335935089725,671.49111215755761,4481.0246856981657,999.38834355886854,4763.0149930873968,238.0502529878554,1272.3362251229055,1726.844315406543,818.90969292364923,1796.9349101759406,3387.9891675841859,2782.7419416548105,2675.6766069108839,332.12967939142794,404.05161334943296,1121.0106646734196,1060.3859675019919,6060.2843084728129,847.12507756184948,2351.8155209142601,6793.8979420888809,362.42950456763816,15712.541867747948,227.83936445954834,4682.2289909401979,2763.2933348573383,474.04088160282612,1254.6180752236924,7793.7845387008783,6089.4167308240658,2960.4021294352087,2849.4346289989999,197.40750467993749,298.57942730010205,291.53568663184797,3738.3502629545023,433.91562590860673,632.25266411774817,251.47721765947907,3074.968586527677,258.93713364436491,1887.9143062126855]
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Row],[Region]]),\"\")","v":""}]
[]
[null,"Region","Almonds, with shell","Apples","Asparagus","Avocados","Bananas","Barley","Beans, dry","Blueberries","Cauliflowers and broccoli","Buckwheat","Carrots and turnips","Cashew nuts","Cassava","Cherries","Chick peas","Cocoa beans","Coconuts","Coffee, green","Fibre Crops Nes","Seed cotton","Cucumbers and gherkins","Garlic","Ginger","Grapes","Hazelnuts, with shell","Lemons and limes","Lentils","Lettuce and chicory","Stone fruit, nes","Maize","Tangerines, mandarins, clem.","Mangoes, mangosteens, guavas","Millet","Oats","Olives","Onions (inc. shallots), green","Onions, dry","Oranges","Oil palm","Nuts, nes","Pears","Peas, dry","Pepper (Piper spp.)","Pineapples","Pistachios","Potatoes","Quinoa","Rapeseed","Raspberries","Rice, paddy","Rye","Sesame seed","Sorghum","Soybeans","Spinach","Strawberries","Sugar cane","Sunflower seed","Chillies and peppers, green","Sweet potatoes","Tomatoes","Walnuts, with shell","Watermelons","Wheat"]
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[]
[null,null,null,null,"To get the latest version of this data, copy-paste the *values* from \"IFC Food loss climate impact tool - phase 2 - only WF data.xlsx\""]
[null,"Tool country","Region","WFN country name","Almonds, with shell","Apples","Asparagus","Avocados","Bananas","Barley","Beans, dry","Blueberries","Cauliflowers and broccoli","Buckwheat","Carrots and turnips","Cashew nuts","Cassava","Cherries","Chick peas","Cocoa beans","Coconuts","Coffee, green","Fibre Crops Nes","Seed cotton","Cucumbers and gherkins","Garlic","Ginger","Grapes","Hazelnuts, with shell","Lemons and limes","Lentils","Lettuce and chicory","Stone fruit, nes","Maize","Tangerines, mandarins, clem.","Mangoes, mangosteens, guavas","Millet","Oats","Olives","Onions (inc. shallots), green","Onions, dry","Oranges","Oil palm","Nuts, nes","Pears","Peas, dry","Pepper (Piper spp.)","Pineapples","Pistachios","Potatoes","Quinoa","Rapeseed","Raspberries","Rice, paddy","Rye","Sesame seed","Sorghum","Soybeans","Spinach","Strawberries","Sugar cane","Sunflower seed","Chillies and peppers, green","Sweet potatoes","Tomatoes","Walnuts, with shell","Watermelons","Wheat"]
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[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreen[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Yemen"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreen[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Middle East & North Africa"},"Yemen",5912.5000000000027,723.35879520014475,"","",385.14795808035296,1904.5519155325499,790.28084977786887,"","","",163.40756777965191,"","","",1094.7264422664914,"","",10741.985157316201,"",1868.3213233800343,127.30654439642746,134.06359089852899,"",459.56422253365668,"",478.73040951398133,3037.6373706243471,252.68548749719079,1302.4321203621193,1726.2037149138121,382.21149857941197,297.70143788387753,4017.809436008029,"","","",132.48296526587563,353.06878128007781,"","",1482.763669512228,1218.0831355261894,"","","",122.13742484535797,"","","","","",3451.8693811004246,2958.4114091163069,"","","","","",289.99156039505402,235.25522433235497,123.74100421663135,"",175.79981077405955,1804.3947978687552]
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[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreen[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Zimbabwe"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreen[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Zimbabwe","",565.42426875684316,1436.5973288499767,964.11760384097659,1172.7215098851823,209.55888733946273,959.5254319450388,"",261.75179319431487,"","","",1308.6543209876543,"",1172.6300104536806,"","",4291.3620519012202,"",2555.0740923672079,461.31520684482922,"","",346.51139455782311,"",791.099207568873,"",407.77394343637576,981.27642276422785,4259.8759006602104,847.26738756042175,1168.7009978726403,11032.399979212603,587.6473359390717,"","",352.73591579107205,921.44676564736903,"",6536.1619556519818,2573.3215617287183,"",5378.9079200226079,473.54454613066594,"",250.16403713960625,"","",769.77311162790693,2125.4488599925794,"","",6241.5458921277077,2390.9468984165942,"",385.67983382622157,41.146054801221034,8960.0168347752588,"",2721.6534967385555,422.88487368287872,"","",231.56326615318301]

{"sheet":"WF-cr-blue","index":81,"n_rows":242,"n_cols":68,"rows_kept":242,"cut":false,"hidden":true,"merged":[]}
[]
[null,"Crop water footprint - Blue"]
[]
[null,"Water footprint type","Blue"]
[]
[null,"Tool commodity name","Almonds","Apples","Asparagus","Avocados","Bananas","Barley","Beans (dry)","Blueberries","Broccoli","Buckwheat","Carrots","Cashew nuts","Cassava (fresh)","Cherries","Chickpeas (dry)","Cocoa","Coconuts","Coffee","Cotton","Cotton seed oil","Cucumbers","Garlic (green)","Ginger","Grapes","Hazelnuts","Lemons","Lentils","Lettuce","Litchi","Maize","Mandarins","Mangoes","Millet","Oats","Olives","Onions (fresh)","Onions, dry","Oranges","Palm fruit","Peanuts","Pears","Peas (dry)","Peppers","Pineapples","Pistachios","Potatoes","Quinoa","Rapeseeds","Raspberries","Rice","Rye","Sesame seed","Sorghum","Soybeans","Spinach","Strawberries","Sugar cane","Sunflower seeds","Sweet peppers","Sweet potatoes","Tomatoes","Walnuts","Watermelons","Wheat"]
[null,"WFN commodity name",{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!C$6,Table127[Tool commodity list],0))","v":"Almonds, with shell"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!D$6,Table127[Tool commodity list],0))","v":"Apples"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!E$6,Table127[Tool commodity list],0))","v":"Asparagus"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!F$6,Table127[Tool commodity list],0))","v":"Avocados"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!G$6,Table127[Tool commodity list],0))","v":"Bananas"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!H$6,Table127[Tool commodity list],0))","v":"Barley"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!I$6,Table127[Tool commodity list],0))","v":"Beans, dry"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!J$6,Table127[Tool commodity list],0))","v":"Blueberries"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!K$6,Table127[Tool commodity list],0))","v":"Cauliflowers and broccoli"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!L$6,Table127[Tool commodity list],0))","v":"Buckwheat"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!M$6,Table127[Tool commodity list],0))","v":"Carrots and turnips"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!N$6,Table127[Tool commodity list],0))","v":"Cashew nuts"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!O$6,Table127[Tool commodity list],0))","v":"Cassava"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!P$6,Table127[Tool commodity list],0))","v":"Cherries"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!Q$6,Table127[Tool commodity list],0))","v":"Chick peas"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!R$6,Table127[Tool commodity list],0))","v":"Cocoa beans"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!S$6,Table127[Tool commodity list],0))","v":"Coconuts"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!T$6,Table127[Tool commodity list],0))","v":"Coffee, green"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!U$6,Table127[Tool commodity list],0))","v":"Fibre Crops Nes"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!V$6,Table127[Tool commodity list],0))","v":"Seed cotton"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!W$6,Table127[Tool commodity list],0))","v":"Cucumbers and gherkins"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!X$6,Table127[Tool commodity list],0))","v":"Garlic"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!Y$6,Table127[Tool commodity list],0))","v":"Ginger"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!Z$6,Table127[Tool commodity list],0))","v":"Grapes"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!AA$6,Table127[Tool commodity list],0))","v":"Hazelnuts, with shell"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!AB$6,Table127[Tool commodity list],0))","v":"Lemons and limes"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!AC$6,Table127[Tool commodity list],0))","v":"Lentils"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!AD$6,Table127[Tool commodity list],0))","v":"Lettuce and chicory"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!AE$6,Table127[Tool commodity list],0))","v":"Stone fruit, nes"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!AF$6,Table127[Tool commodity list],0))","v":"Maize"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!AG$6,Table127[Tool commodity list],0))","v":"Tangerines, mandarins, clem."},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!AH$6,Table127[Tool commodity list],0))","v":"Mangoes, mangosteens, guavas"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!AI$6,Table127[Tool commodity list],0))","v":"Millet"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!AJ$6,Table127[Tool commodity list],0))","v":"Oats"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!AK$6,Table127[Tool commodity list],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!AL$6,Table127[Tool commodity list],0))","v":"Onions (inc. shallots), green"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!AM$6,Table127[Tool commodity list],0))","v":"Onions, dry"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!AN$6,Table127[Tool commodity list],0))","v":"Oranges"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!AO$6,Table127[Tool commodity list],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!AP$6,Table127[Tool commodity list],0))","v":"Nuts, nes"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!AQ$6,Table127[Tool commodity list],0))","v":"Pears"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!AR$6,Table127[Tool commodity list],0))","v":"Peas, dry"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!AS$6,Table127[Tool commodity list],0))","v":"Pepper (Piper spp.)"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!AT$6,Table127[Tool commodity list],0))","v":"Pineapples"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!AU$6,Table127[Tool commodity list],0))","v":"Pistachios"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!AV$6,Table127[Tool commodity list],0))","v":"Potatoes"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!AW$6,Table127[Tool commodity list],0))","v":"Quinoa"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!AX$6,Table127[Tool commodity list],0))","v":"Rapeseed"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!AY$6,Table127[Tool commodity list],0))","v":"Raspberries"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!AZ$6,Table127[Tool commodity list],0))","v":"Rice, paddy"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!BA$6,Table127[Tool commodity list],0))","v":"Rye"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!BB$6,Table127[Tool commodity list],0))","v":"Sesame seed"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!BC$6,Table127[Tool commodity list],0))","v":"Sorghum"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!BD$6,Table127[Tool commodity list],0))","v":"Soybeans"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!BE$6,Table127[Tool commodity list],0))","v":"Spinach"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!BF$6,Table127[Tool commodity list],0))","v":"Strawberries"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!BG$6,Table127[Tool commodity list],0))","v":"Sugar cane"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!BH$6,Table127[Tool commodity list],0))","v":"Sunflower seed"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!BI$6,Table127[Tool commodity list],0))","v":"Chillies and peppers, green"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!BJ$6,Table127[Tool commodity list],0))","v":"Sweet potatoes"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!BK$6,Table127[Tool commodity list],0))","v":"Tomatoes"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!BL$6,Table127[Tool commodity list],0))","v":"Walnuts, with shell"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!BM$6,Table127[Tool commodity list],0))","v":"Watermelons"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-blue'!BN$6,Table127[Tool commodity list],0))","v":"Wheat"}]
[null,"^^ used to populate the header of the table below"]
[]
[null,"Region","Almonds, with shell","Apples","Asparagus","Avocados","Bananas","Barley","Beans, dry","Blueberries","Cauliflowers and broccoli","Buckwheat","Carrots and turnips","Cashew nuts","Cassava","Cherries","Chick peas","Cocoa beans","Coconuts","Coffee, green","Fibre Crops Nes","Seed cotton","Cucumbers and gherkins","Garlic","Ginger","Grapes","Hazelnuts, with shell","Lemons and limes","Lentils","Lettuce and chicory","Stone fruit, nes","Maize","Tangerines, mandarins, clem.","Mangoes, mangosteens, guavas","Millet","Oats","Olives","Onions (inc. shallots), green","Onions, dry","Oranges","Oil palm","Nuts, nes","Pears","Peas, dry","Pepper (Piper spp.)","Pineapples","Pistachios","Potatoes","Quinoa","Rapeseed","Raspberries","Rice, paddy","Rye","Sesame seed","Sorghum","Soybeans","Spinach","Strawberries","Sugar cane","Sunflower seed","Chillies and peppers, green","Sweet potatoes","Tomatoes","Walnuts, with shell","Watermelons","Wheat"]
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[]
[null,"Region","Almonds, with shell","Apples","Asparagus","Avocados","Bananas","Barley","Beans, dry","Blueberries","Cauliflowers and broccoli","Buckwheat","Carrots and turnips","Cashew nuts","Cassava","Cherries","Chick peas","Cocoa beans","Coconuts","Coffee, green","Fibre Crops Nes","Seed cotton","Cucumbers and gherkins","Garlic","Ginger","Grapes","Hazelnuts, with shell","Lemons and limes","Lentils","Lettuce and chicory","Stone fruit, nes","Maize","Tangerines, mandarins, clem.","Mangoes, mangosteens, guavas","Millet","Oats","Olives","Onions (inc. shallots), green","Onions, dry","Oranges","Oil palm","Nuts, nes","Pears","Peas, dry","Pepper (Piper spp.)","Pineapples","Pistachios","Potatoes","Quinoa","Rapeseed","Raspberries","Rice, paddy","Rye","Sesame seed","Sorghum","Soybeans","Spinach","Strawberries","Sugar cane","Sunflower seed","Chillies and peppers, green","Sweet potatoes","Tomatoes","Walnuts, with shell","Watermelons","Wheat"]
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[]
[null,null,null,null,"To get the latest version of this data, copy-paste the *values* from \"IFC Food loss climate impact tool - phase 2 - only WF data.xlsx\""]
[null,"Tool country","Region","WFN country name","Almonds, with shell","Apples","Asparagus","Avocados","Bananas","Barley","Beans, dry","Blueberries","Cauliflowers and broccoli","Buckwheat","Carrots and turnips","Cashew nuts","Cassava","Cherries","Chick peas","Cocoa beans","Coconuts","Coffee, green","Fibre Crops Nes","Seed cotton","Cucumbers and gherkins","Garlic","Ginger","Grapes","Hazelnuts, with shell","Lemons and limes","Lentils","Lettuce and chicory","Stone fruit, nes","Maize","Tangerines, mandarins, clem.","Mangoes, mangosteens, guavas","Millet","Oats","Olives","Onions (inc. shallots), green","Onions, dry","Oranges","Oil palm","Nuts, nes","Pears","Peas, dry","Pepper (Piper spp.)","Pineapples","Pistachios","Potatoes","Quinoa","Rapeseed","Raspberries","Rice, paddy","Rye","Sesame seed","Sorghum","Soybeans","Spinach","Strawberries","Sugar cane","Sunflower seed","Chillies and peppers, green","Sweet potatoes","Tomatoes","Walnuts, with shell","Watermelons","Wheat"]
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[null,"Crop water footprint - Grey"]
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[null,"Water footprint type","Grey"]
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[null,"Tool commodity name","Almonds","Apples","Asparagus","Avocados","Bananas","Barley","Beans (dry)","Blueberries","Broccoli","Buckwheat","Carrots","Cashew nuts","Cassava (fresh)","Cherries","Chickpeas (dry)","Cocoa","Coconuts","Coffee","Cotton","Cotton seed oil","Cucumbers","Garlic (green)","Ginger","Grapes","Hazelnuts","Lemons","Lentils","Lettuce","Litchi","Maize","Mandarins","Mangoes","Millet","Oats","Olives","Onions (fresh)","Onions, dry","Oranges","Palm fruit","Peanuts","Pears","Peas (dry)","Peppers","Pineapples","Pistachios","Potatoes","Quinoa","Rapeseeds","Raspberries","Rice","Rye","Sesame seed","Sorghum","Soybeans","Spinach","Strawberries","Sugar cane","Sunflower seeds","Sweet peppers","Sweet potatoes","Tomatoes","Walnuts","Watermelons","Wheat"]
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list],MATCH('WF-cr-grey'!AI$6,Table127[Tool commodity list],0))","v":"Millet"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!AJ$6,Table127[Tool commodity list],0))","v":"Oats"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!AK$6,Table127[Tool commodity list],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!AL$6,Table127[Tool commodity list],0))","v":"Onions (inc. shallots), green"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!AM$6,Table127[Tool commodity list],0))","v":"Onions, dry"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!AN$6,Table127[Tool commodity list],0))","v":"Oranges"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!AO$6,Table127[Tool commodity list],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!AP$6,Table127[Tool commodity list],0))","v":"Nuts, nes"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!AQ$6,Table127[Tool commodity list],0))","v":"Pears"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!AR$6,Table127[Tool commodity list],0))","v":"Peas, dry"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!AS$6,Table127[Tool commodity list],0))","v":"Pepper (Piper spp.)"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!AT$6,Table127[Tool commodity list],0))","v":"Pineapples"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!AU$6,Table127[Tool commodity list],0))","v":"Pistachios"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!AV$6,Table127[Tool commodity list],0))","v":"Potatoes"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!AW$6,Table127[Tool commodity list],0))","v":"Quinoa"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!AX$6,Table127[Tool commodity list],0))","v":"Rapeseed"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!AY$6,Table127[Tool commodity list],0))","v":"Raspberries"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!AZ$6,Table127[Tool commodity list],0))","v":"Rice, paddy"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!BA$6,Table127[Tool commodity list],0))","v":"Rye"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!BB$6,Table127[Tool commodity list],0))","v":"Sesame seed"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!BC$6,Table127[Tool commodity list],0))","v":"Sorghum"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!BD$6,Table127[Tool commodity list],0))","v":"Soybeans"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!BE$6,Table127[Tool commodity list],0))","v":"Spinach"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!BF$6,Table127[Tool commodity list],0))","v":"Strawberries"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!BG$6,Table127[Tool commodity list],0))","v":"Sugar cane"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!BH$6,Table127[Tool commodity list],0))","v":"Sunflower seed"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!BI$6,Table127[Tool commodity list],0))","v":"Chillies and peppers, green"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!BJ$6,Table127[Tool commodity list],0))","v":"Sweet potatoes"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!BK$6,Table127[Tool commodity list],0))","v":"Tomatoes"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!BL$6,Table127[Tool commodity list],0))","v":"Walnuts, with shell"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!BM$6,Table127[Tool commodity list],0))","v":"Watermelons"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-cr-grey'!BN$6,Table127[Tool commodity list],0))","v":"Wheat"}]
[null,"^^ used to populate the header of the table below"]
[]
[null,"Region","Almonds, with shell","Apples","Asparagus","Avocados","Bananas","Barley","Beans, dry","Blueberries","Cauliflowers and broccoli","Buckwheat","Carrots and turnips","Cashew nuts","Cassava","Cherries","Chick peas","Cocoa beans","Coconuts","Coffee, green","Fibre Crops Nes","Seed cotton","Cucumbers and gherkins","Garlic","Ginger","Grapes","Hazelnuts, with shell","Lemons and limes","Lentils","Lettuce and chicory","Stone fruit, nes","Maize","Tangerines, mandarins, clem.","Mangoes, mangosteens, guavas","Millet","Oats","Olives","Onions (inc. shallots), green","Onions, dry","Oranges","Oil palm","Nuts, nes","Pears","Peas, dry","Pepper (Piper spp.)","Pineapples","Pistachios","Potatoes","Quinoa","Rapeseed","Raspberries","Rice, paddy","Rye","Sesame seed","Sorghum","Soybeans","Spinach","Strawberries","Sugar cane","Sunflower seed","Chillies and peppers, green","Sweet potatoes","Tomatoes","Walnuts, with shell","Watermelons","Wheat"]
[null,"Global",{"$f":"AVERAGE(INDIRECT(\"WFRegionGrey[\"&C$10&\"]\"))","v":1173.2940496372887},{"$f":"AVERAGE(INDIRECT(\"WFRegionGrey[\"&D$10&\"]\"))","v":56.380545656418469},207.71937770002447,113.60053918673832,49.416818607830429,168.47660599892976,1022.2657597252507,152.8515174036504,52.065995580026609,540.74474996623906,40.433177451163438,638.48075089695283,31.897419384036731,215.56564971665824,1408.9764910634892,2381.5764888328117,76.299595327553959,2056.0698336476344,891.87100399190763,506.64858898085396,54.712793427092087,101.47078759817352,277.22925733190539,82.202239975435162,1541.94501155899,67.509220232153027,1362.1783085878847,76.245696714828796,86.658094320460094,273.50157616202017,56.942963226156358,120.20062418994614,262.74088027291089,209.28671229451911,2274.4031842252321,57.645543435321429,58.938940808086464,60.738579708349697,42.782218327393259,878.51933575342525,56.933892893079943,1003.8413811853643,525.36761949465563,32.585097303044513,1523.6934673318094,61.604937290772931,535.71675829519734,416.62583005968099,242.51882278254502,282.19919751284232,533.98472364290217,647.23244577098637,236.71448128921182,787.8942671329371,67.4359115022731,51.325019843549235,27.347183616312321,523.40955962592818,68.582129207295381,123.98173003656646,36.372247727968436,856.14562525615179,36.443555518493987,268.0895967823804]
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Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&K$14&\"]\"),WFCountryGrey[Region],WFGlobalGrey[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&L$14&\"]\"),WFCountryGrey[Region],WFGlobalGrey[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&M$14&\"]\"),WFCountryGrey[Region],WFGlobalGrey[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&N$14&\"]\"),WFCountryGrey[Region],WFGlobalGrey[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&O$14&\"]\"),WFCountryGrey[Region],WFGlobalGrey[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&P$14&\"]\"),WFCountryGrey[Region],WFGlobalGrey[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&Q$14&\"]\"),WFCountryGrey[Region],WFGlobalGrey[[#This 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Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&AM$14&\"]\"),WFCountryGrey[Region],WFGlobalGrey[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&AN$14&\"]\"),WFCountryGrey[Region],WFGlobalGrey[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&AO$14&\"]\"),WFCountryGrey[Region],WFGlobalGrey[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&AP$14&\"]\"),WFCountryGrey[Region],WFGlobalGrey[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&AQ$14&\"]\"),WFCountryGrey[Region],WFGlobalGrey[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&AR$14&\"]\"),WFCountryGrey[Region],WFGlobalGrey[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&AS$14&\"]\"),WFCountryGrey[Region],WFGlobalGrey[[#This Row],[Region]]),\"\")","v":""}]
[]
[null,"Region","Almonds, with shell","Apples","Asparagus","Avocados","Bananas","Barley","Beans, dry","Blueberries","Cauliflowers and broccoli","Buckwheat","Carrots and turnips","Cashew nuts","Cassava","Cherries","Chick peas","Cocoa beans","Coconuts","Coffee, green","Fibre Crops Nes","Seed cotton","Cucumbers and gherkins","Garlic","Ginger","Grapes","Hazelnuts, with shell","Lemons and limes","Lentils","Lettuce and chicory","Stone fruit, nes","Maize","Tangerines, mandarins, clem.","Mangoes, mangosteens, guavas","Millet","Oats","Olives","Onions (inc. shallots), green","Onions, dry","Oranges","Oil palm","Nuts, nes","Pears","Peas, dry","Pepper (Piper spp.)","Pineapples","Pistachios","Potatoes","Quinoa","Rapeseed","Raspberries","Rice, paddy","Rye","Sesame seed","Sorghum","Soybeans","Spinach","Strawberries","Sugar cane","Sunflower seed","Chillies and peppers, green","Sweet potatoes","Tomatoes","Walnuts, with shell","Watermelons","Wheat"]
[null,"South Asia",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGrey[\"&C$14&\"]\"),WFCountryGrey[Region],WFRegionGrey[[#This Row],[Region]]),\"\")","v":332.36757409408852},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGrey[\"&D$14&\"]\"),WFCountryGrey[Region],WFRegionGrey[[#This Row],[Region]]),\"\")","v":59.639641608950434},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGrey[\"&E$14&\"]\"),WFCountryGrey[Region],WFRegionGrey[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGrey[\"&F$14&\"]\"),WFCountryGrey[Region],WFRegionGrey[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGrey[\"&G$14&\"]\"),WFCountryGrey[Region],WFRegionGrey[[#This Row],[Region]]),\"\")","v":65.170951087165903},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGrey[\"&H$14&\"]\"),WFCountryGrey[Region],WFRegionGrey[[#This 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[]
[null,null,null,null,"To get the latest version of this data, copy-paste the *values* from \"IFC Food loss climate impact tool - phase 2 - only WF data.xlsx\""]
[null,"Tool country","Region","WFN country name","Almonds, with shell","Apples","Asparagus","Avocados","Bananas","Barley","Beans, dry","Blueberries","Cauliflowers and broccoli","Buckwheat","Carrots and turnips","Cashew nuts","Cassava","Cherries","Chick peas","Cocoa beans","Coconuts","Coffee, green","Fibre Crops Nes","Seed cotton","Cucumbers and gherkins","Garlic","Ginger","Grapes","Hazelnuts, with shell","Lemons and limes","Lentils","Lettuce and chicory","Stone fruit, nes","Maize","Tangerines, mandarins, clem.","Mangoes, mangosteens, guavas","Millet","Oats","Olives","Onions (inc. shallots), green","Onions, dry","Oranges","Oil palm","Nuts, nes","Pears","Peas, dry","Pepper (Piper spp.)","Pineapples","Pistachios","Potatoes","Quinoa","Rapeseed","Raspberries","Rice, paddy","Rye","Sesame seed","Sorghum","Soybeans","Spinach","Strawberries","Sugar cane","Sunflower seed","Chillies and peppers, green","Sweet potatoes","Tomatoes","Walnuts, with shell","Watermelons","Wheat"]
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[null,"Animal protein water footprint - Green"]
[]
[null,"Water footprint type","Green"]
[]
[null,"Tool commodity name","Eggs","Meat (cattle)","Meat (chicken)","Meat (pig)","Milk (cattle)","Butter","Cheese","Yoghurt"]
[null,"WFN commodity name",{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-ap-green'!C$6,Table127[Tool commodity list],0))","v":"Egg,unshelld;ylk,not dry"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-ap-green'!D$6,Table127[Tool commodity list],0))","v":"Bovine meat,fh,ch,bnless"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-ap-green'!E$6,Table127[Tool commodity list],0))","v":"Poultry,prprd,prsrvd,nes"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-ap-green'!F$6,Table127[Tool commodity list],0))","v":"Meat of swine,frsh,chlld"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-ap-green'!G$6,Table127[Tool commodity list],0))","v":"Milk,fat cont.1% or less"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-ap-green'!H$6,Table127[Tool commodity list],0))","v":"butter"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-ap-green'!I$6,Table127[Tool commodity list],0))","v":"Processed cheese, whole"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-ap-green'!J$6,Table127[Tool commodity list],0))","v":"Yogurt"}]
[null,"^^ used to populate headers for the table below"]
[]
[null,"Region","Production system","Egg,unshelld;ylk,not dry","Bovine meat,fh,ch,bnless","Poultry,prprd,prsrvd,nes","Meat of swine,frsh,chlld","Milk,fat cont.1% or less","butter","Processed cheese, whole","Yogurt"]
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[]
[]
[null,"Region","Production system","Egg,unshelld;ylk,not dry","Bovine meat,fh,ch,bnless","Poultry,prprd,prsrvd,nes","Meat of swine,frsh,chlld","Milk,fat cont.1% or less","butter","Processed cheese, whole","Yogurt"]
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[null,"Sub-Saharan Africa","Grazing",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&D$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":10328.944384343033},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&E$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":39815.430849870681},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&F$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":14367.246398694921},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&G$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":4055.9798485007154},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&H$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":1891.9995788506221},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&I$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":10365.82483545293},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&J$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":9415.7520882700428},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&K$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":2210.5208220282138}]
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[null,"North America","Grazing",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&D$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":1207.1878237896597},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&E$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":12627.879316790786},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&F$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":2006.1005192748735},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&G$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":2602.5210542529067},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&H$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":1323.6794133353922},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&I$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":7203.8044687428965},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&J$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":6543.5445849004873},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&K$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":1538.777318002393}]
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[null,"Europe & Central Asia","Mixed",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&D$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":3128.1622728051734},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&E$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":15442.643891866546},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&F$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":3353.5607379647627},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&G$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":3826.5685654882632},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&H$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":1020.9904345785773},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&I$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&J$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&K$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"Middle East & North Africa","Mixed",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&D$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":4117.6272434483999},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&E$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":22084.238224760789},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&F$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":4852.0143287225119},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&G$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":3330.0030192955132},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&H$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":1170.7736242607959},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&I$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&J$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&K$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"East Asia & Pacific","Mixed",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&D$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":3446.2704486829148},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&E$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":19046.072130989378},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&F$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":7115.8340461376811},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&G$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":3269.8068208878262},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&H$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":838.59065993883644},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&I$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&J$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&K$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""}]
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[null,"Latin America & Caribbean","Mixed",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&D$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":2346.0974307615074},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&E$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":17948.375702629735},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&F$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":4762.7037474714043},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&G$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":3372.1175012332433},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&H$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":1546.9719441243744},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&I$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&J$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&K$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"North America","Mixed",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&D$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":772.60020722538229},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&E$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":8175.2658145177338},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&F$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":1193.8057826983108},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&G$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":2640.8260931349032},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&H$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":706.31121508072908},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&I$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&J$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&K$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"South Asia","Industrial",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&D$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":3107.4444559407198},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&E$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":12139.131300704796},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&F$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":4855.1881692096404},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&G$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":3826.4019202027171},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&H$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":0},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&I$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&J$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&K$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"Europe & Central Asia","Industrial",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&D$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":2572.1572006680863},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&E$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":9050.1996876522498},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&F$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":2418.8457940567137},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&G$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":3043.3945763001402},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&H$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":871.23175130582342},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&I$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&J$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&K$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"Middle East & North Africa","Industrial",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&D$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":2574.0640657032682},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&E$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":18253.10174451469},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&F$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":3337.2475721166106},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&G$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":2214.7684496161787},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&H$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":24.439306988109898},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&I$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&J$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&K$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"East Asia & Pacific","Industrial",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&D$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":2315.1493140362968},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&E$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":9454.9893091919839},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&F$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":3310.6083686642128},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&G$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":3976.887042487997},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&H$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":285.38340905006885},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&I$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&J$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&K$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"Sub-Saharan Africa","Industrial",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&D$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":3211.854019767738},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&E$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":7308.0212807704229},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&F$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":4366.6136336122217},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&G$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":4714.3116520730073},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&H$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":0},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&I$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&J$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&K$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"Latin America & Caribbean","Industrial",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&D$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":3137.7080011640001},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&E$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":9403.9447807887427},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&F$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":3703.1713373267939},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&G$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":5242.6462758475691},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&H$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":0},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&I$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&J$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&K$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"North America","Industrial",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&D$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":845.03147665276174},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&E$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":3725.7233783107727},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&F$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":1224.7771591362387},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&G$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":1813.1782485062722},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&H$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":334.84728157161669},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&I$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&J$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&K$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"South Asia","Weighted average",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&D$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":3757.8044353117234},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&E$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":19895.025050353892},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&F$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":6787.7861656200694},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&G$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":2576.4831636713384},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&H$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":1052.9505274916996},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&I$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&J$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&K$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"Europe & Central Asia","Weighted average",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&D$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":2820.0738831801286},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&E$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":14627.365677108923},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&F$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":4056.8058156942566},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&G$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":3696.1378386089086},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&H$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":1044.5583504443132},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&I$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&J$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&K$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"Middle East & North Africa","Weighted average",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&D$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":3328.0137530667016},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&E$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":25272.640133221485},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&F$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":5242.7709834021007},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&G$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":3152.5581803187329},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&H$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":1321.3908889552158},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&I$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&J$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&K$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"East Asia & Pacific","Weighted average",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&D$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":2588.4380516389974},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&E$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":16452.491744551935},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&F$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":4470.0443193486453},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&G$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":3744.0820546190043},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&H$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":888.12454374044069},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&I$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&J$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&K$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"Sub-Saharan Africa","Weighted average",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&D$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":5644.6893784366302},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&E$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":21827.586626993663},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&F$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":8203.3933894608344},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&G$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":4394.0882958319435},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&H$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":1806.0784324160243},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&I$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&J$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&K$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"Latin America & Caribbean","Weighted average",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&D$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":3047.6326142458493},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&E$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":16695.933609762465},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&F$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":4635.7383295531945},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&G$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":4505.8194445090203},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&H$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":1504.5770107937133},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&I$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&J$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&K$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"North America","Weighted average",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&D$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":836.7775885502133},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&E$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":8450.3147215791032},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&F$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":1222.3095927532468},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&G$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":2185.5229542913398},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&H$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":914.53722712821184},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&I$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&J$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreenAP[\"&K$17&\"]\"),WFCountryGreenAP[Region],WFRegionGreenAP[[#This Row],[Region]],WFCountryGreenAP[Production system],WFRegionGreenAP[[#This Row],[Production system]]),\"\")","v":""}]
[]
[null,null,null,null,null,"To get the latest version of this data, copy-paste the *values* from \"IFC Food loss climate impact tool - phase 2 - only WF data.xlsx\""]
[null,"Tool country","Region","WFN country name","Production system","Egg,unshelld;ylk,not dry","Bovine meat,fh,ch,bnless","Poultry,prprd,prsrvd,nes","Meat of swine,frsh,chlld","Milk,fat cont.1% or less","butter","Processed cheese, whole","Yogurt"]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"South Asia"},"Afghanistan","Grazing",1697.7411935816358,7912.4704143140807,1885.1032660119702,0,2069.9971235566459,11265.457767744221,10232.929765431527,2406.3716561346005,{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!N$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!O$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!P$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!Q$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!R$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!S$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!T$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$703,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!U$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!V$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!W$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!X$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""}]
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[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Grazing","","","","","","","","",{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!N$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!O$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!P$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!Q$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!R$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!S$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!T$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$703,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!U$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!V$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!W$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!X$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""}]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Zimbabwe"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Zimbabwe","Grazing",12351.623468492111,39240.462448607403,13269.620602320989,4125.7856488820335,1371.6091976220794,null,null,2059.490780039021,{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!N$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!O$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!P$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!Q$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!R$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!S$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!T$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$703,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!U$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!V$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!W$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!X$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreenAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""}]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Antigua and Barbuda"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Antigua and Barbuda","Mixed",273.12732050044298,14136.190171606262,1808.0917703636087,4466.962533242664,1419.5121162636813]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Bangladesh"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"South Asia"},"Bangladesh","Mixed",2384.9162339007898,15568.66484017155,5457.4003182612814,0,785.57854535168576]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Belarus","Mixed",2666.1555081669117,9275.0417420912181,3035.6233614010885,3450.3341860634637,789.66039522157791]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Brazil"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Brazil","Mixed",257.02569914034109,20603.751771320327,4072.6379394218611,3729.8303098125921,1253.6130644920252]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Canada"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"North America"},"Canada","Mixed",1204.4112826038713,11799.484095988215,1893.9130455270242,4306.8275008776363,661.38648977296941]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Cayman Islands","Mixed","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Congo"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Congo","Mixed","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Croatia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Croatia","Mixed",1818.3201956018918,31587.214404118633,2857.7121159788144,5210.5695752319461,949.65870232268799]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Dominica"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Dominica","Mixed",4930.8207384687048,0,3947.6126224893032,3859.6609035587194,1474.3939181594315]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Ethiopia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Ethiopia","Mixed",2866.9694299444236,28171.98698124809,3830.4689461509847,3806.9443876629339,1183.3047543153348]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Finland"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Finland","Mixed",2334.9887708706888,9574.1391785438445,2531.3458579833068,5054.9614119753751,485.73080093860762]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Greece"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Greece","Mixed",1406.3824285244491,20308.405166017226,2168.4837144195481,4602.8241930817258,1018.543309223619]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Haiti"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Haiti","Mixed",11089.204441992459,18969.010571138209,10359.557869705712,3002.9373811859618,2988.8919622416615]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Honduras"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Honduras","Mixed",4641.6971996831644,7575.4639189634636,10954.85945997875,2349.8857418187449,1124.2076072761852]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Mixed","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Jamaica"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Jamaica","Mixed",3249.1476300362583,23628.101557239526,6054.2820722688512,3909.9187329760225,2065.7033982782632]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Korea, Republic of","Mixed",2913.3307673161503,18002.046708369868,4043.3342754409282,4030.1986320651085,945.02124866917609]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Middle East & North Africa"},"Libya","Mixed","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Malaysia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Malaysia","Mixed",3188.4459444001377,32107.073451725209,4992.6364613807145,1687.9795247563231,1133.4232454042399]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Malta"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Middle East & North Africa"},"Malta","Mixed",1244.8500296490233,21068.102464646228,1760.2961150389829,4051.7574856234255,724.70552348796218]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Mongolia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Mongolia","Mixed",8803.952389400949,34245.535827290201,10480.596203385472,3303.5351731634642,727.85080929060325]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Mozambique"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Mozambique","Mixed",7833.8932365314804,9475.9017189160859,8259.9787305413283,3728.1648456033304,2917.0547820280076]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Niger"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Niger","Mixed",17792.633705747274,12213.303055757317,17264.63237511212,10906.036273396181,4443.7379515565572]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Mixed","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Paraguay"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Paraguay","Mixed",329.05381077665317,21165.48277298635,4649.6405789117207,3903.3875801582526,1435.6078728994976]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Rwanda"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Rwanda","Mixed",4119.6307753131787,23447.538427948806,16707.935098566304,4093.3114335061969,1223.5615789350109]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Seychelles"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Seychelles","Mixed",1912.7624548957547,13166.668570728321,3295.3180230537728,2673.2786412641553,934.1875986081526]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Mixed","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Saint Kitts and Nevis"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Saint Kitts and Nevis","Mixed",1922.5541159061918,14527.956126337027,2304.7848061495279,2450.9020885856512,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Mixed","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"United Republic of Tanzania"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Tanzania","Mixed","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Turkey"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Turkey","Mixed",4806.4577295196787,17025.261398177565,3992.9790907366651,5883.123296149538,881.82314225581206]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Tuvalu"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Tuvalu","Mixed",5483.6524448024275,0,21156.123869065974,4011.7458937763136,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Venezuela (Bolivarian Republic of)"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Venezuela","Mixed","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"South Asia"},"Afghanistan","Industrial",1841.1894937377076,8931.2324601984146,4514.0928579687634,0,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"American Samoa","Industrial","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Azerbaijan"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Azerbaijan","Industrial","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Bahamas"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Bahamas, The","Industrial","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Benin"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Benin","Industrial",3987.3671748125576,3013.8998930627968,2975.4486596312772,9348.7551381106732,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Burkina Faso"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Burkina Faso","Industrial",825.4591500706216,4569.0824504296106,1960.9492378332595,2112.7731551561569,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Cambodia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Cambodia","Industrial",2893.3574312425717,6406.6957979375211,3614.2564807551362,4675.8492154399846,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Colombia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Colombia","Industrial",3724.6478439280909,4899.9122748411201,3691.7358778712455,6083.7355186695522,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Cuba","Industrial",3331.3851469200654,11248.000054868258,3209.1161417023413,6290.254220421587,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Czech Republic"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Czech Republic","Industrial",2294.3073561660512,8086.601060123282,1186.4321085431361,2142.0984691460399,838.03634702483816]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Eritrea"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Eritrea","Industrial",2589.4797908803512,6564.2155543754425,4448.7674265521055,0,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Estonia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Estonia","Industrial",2201.5930611318449,8991.6866229085263,1440.9326965239954,2458.5209090444259,955.01907225065906]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Gambia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Gambia, The","Industrial","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Guam","Industrial","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Guinea-Bissau"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Guinea-Bissau","Industrial",2188.5161543238696,5839.4875892027558,2930.1362549158657,3275.3438511494296,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Middle East & North Africa"},"Iran","Industrial","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Japan"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Japan","Industrial",1551.3733598881454,11127.807600928367,2028.5392701270357,3518.5208951470172,882.89317873491166]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Kenya"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Kenya","Industrial",1154.1564852662932,4497.2612492378739,2515.4613615969997,3630.2431495610972,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Lao People's Democratic Republic"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Laos","Industrial",3243.0953021095361,5793.006982304516,2887.9037699111036,3699.8993135457526,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Lesotho"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Lesotho","Industrial",3115.6187366187005,5985.4413400483618,3735.7177658036671,2605.4624803219003,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Malaysia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Malaysia","Industrial",2420.7387873633852,10629.99260580074,3120.163403826793,4379.0157507495651,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Mexico"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Mexico","Industrial",3285.7457968478607,17379.12939490634,3406.7892421107608,5667.4381248054278,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Mozambique"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Mozambique","Industrial",4086.2882953712142,12387.891360668034,4322.0818938879056,5563.5814642440127,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"New Caledonia","Industrial",1848.7381408534629,4412.4132583668261,3294.5496616360774,4543.1003466127268,360.37000007076091]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Norway"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Norway","Industrial",1327.0240015859629,4611.7740161357342,1968.4910737669545,3031.6856946071489,375.29821563946393]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Industrial","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Portugal"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Portugal","Industrial",2837.0300386967901,13071.814464415676,3747.4488251798448,3673.674859754618,520.63358140040509]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Romania"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Romania","Industrial",2546.6410940786482,11109.830461455718,1817.16280866385,1974.9355019119657,1322.774950508131]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Seychelles"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Seychelles","Industrial",997.72853615333042,4347.8541711971084,1724.2943143886023,2411.0691285704829,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Somalia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Somalia","Industrial",14002.801168972344,16862.148933350614,16709.727052969989,2853.5827858732214,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Spain"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Spain","Industrial",3006.9523988671963,9247.6759646466835,3615.9058242489496,3330.1710512138238,944.91728209848816]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Middle East & North Africa"},"Syrian Arab Republic","Industrial",6570.8026105828039,28584.739279985348,3986.5180810095399,0,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Tonga"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Tonga","Industrial",1013.9748712786121,34188.733055893921,1678.9487413190488,2369.7354774685405,1193.4144164441223]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Turkey"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Turkey","Industrial",2430.3692992951615,13238.625567015468,2000.7923245609384,3905.2779347523897,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"United Kingdom"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"United Kingdom","Industrial",1129.5728454046045,5230.4501635831675,1588.9425910178197,2501.8071918012597,396.36194694971954]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Uzbekistan"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Uzbekistan","Industrial",2094.0572858557498,3337.6778499441702,2417.4434413599397,2317.3733812217411,513.5638025067019]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"South Asia"},"Afghanistan","Weighted average",1877.6283112326068,12749.875627100299,3501.5323083243638,0,661.54851042571022]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Argentina"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Argentina","Weighted average",1683.5409617497683,5578.6848067705268,2467.3997336339667,2851.1402699046471,538.19804589780722]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Australia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Australia","Weighted average",1554.7318922709487,14507.058409959338,2962.2156962332983,3857.5656157869794,703.52944611991745]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Belarus","Weighted average",2604.7575532096762,10883.090134866103,3471.6879019678322,3505.1744864869756,900.52401697679977]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Bolivia (Plurinational State of)"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Bolivia","Weighted average",4521.5697405275669,76490.509537889709,8010.9289160406224,6941.0276764398968,5543.0897069507782]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Burkina Faso"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Burkina Faso","Weighted average",1720.5792585379206,18970.592816772754,4069.0768030947343,3443.5646426147277,1047.9800049735002]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Central African Republic"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Central African Republic","Weighted average",4658.9290738409691,10709.36363576728,6354.3323454495348,4695.7728936325557,1427.2107336419485]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Chile"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Chile","Weighted average",1906.8895441987108,6375.637601205568,2622.5326935955759,2880.6969201113266,645.27513061353329]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Cuba","Weighted average",4474.162497458331,15189.754935385236,5871.5600487574284,3435.1315901779203,1616.0405126082887]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Dominican Republic"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Dominican Republic","Weighted average",3118.1047685469744,20062.311692244322,5205.2411173427172,5068.2603023227111,1600.1532206483341]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"El Salvador"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"El Salvador","Weighted average",3269.2232666509167,7737.8545592601731,4652.8986458122145,4778.1773927267996,912.06770427486117]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Fiji"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Fiji","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Grenada"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Grenada","Weighted average",3593.8982361607268,19285.077055435369,5975.486963979245,5596.4969308826903,3255.3760801100575]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"India"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"South Asia"},"India","Weighted average",4888.1827566100192,15536.557177373379,6726.0156831032637,3953.2418906884782,885.39508148549385]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Italy"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Italy","Weighted average",1067.6105443235629,10003.204854920836,2163.2471915792048,3521.6392615335239,606.28138402902107]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Lao People's Democratic Republic"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Laos","Weighted average",3729.9625543643283,22613.040352366763,5453.7194087273328,3967.6610819490611,1920.9548591561984]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Lithuania"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Lithuania","Weighted average",4037.415697851462,9890.6368023173181,4816.8535188466767,3525.8347327204633,927.16366829551566]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Marshall Islands"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Marshall Islands","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Mexico"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Mexico","Weighted average",3223.7994621081361,15843.267972143105,4525.9147706898875,5006.9931918136626,1586.448440207879]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Nauru","Weighted average",2533.093728485585,0,5431.775496676054,3293.6666491440956,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Nepal"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"South Asia"},"Nepal","Weighted average",5652.9080333486054,28976.166421614125,7891.5071324160299,4970.6247038100137,1564.3312153813774]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Peru"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Peru","Weighted average",2499.2901692329519,23317.221232407133,3915.8707028306439,4894.6680990823361,1676.1080451329099]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Portugal"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Portugal","Weighted average",2673.7802232271506,14027.401394969404,3571.9038914404232,4668.2487717245222,835.99020568249205]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Slovakia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Slovakia","Weighted average",2568.3917558246922,7936.8190539283851,3423.0906953574327,3639.6468053954504,740.91515789964922]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Somalia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Somalia","Weighted average",7287.2784650505346,20607.129478516792,16337.062235463669,3169.4843006302885,1501.7696761550528]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sudan"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Sudan","Weighted average",8795.4083372632194,8829.6652907723583,11040.38222491635,0,1198.3347616559836]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sweden"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Sweden","Weighted average",1370.4723492623868,6760.909778287506,1870.5660853772388,2784.7527523841641,477.28321121233131]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Switzerland"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Switzerland","Weighted average",1019.7156300022518,6212.358886176632,1197.0458529024365,2622.6520534005667,298.76189673255402]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Middle East & North Africa"},"Syrian Arab Republic","Weighted average",8440.4234756341993,47039.77768146748,8684.9902033910275,0,3435.6433366669226]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Tajikistan"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Tajikistan","Weighted average",4801.2639632859436,51179.932501007454,9785.0112631936336,1534.8912864846789,7952.2974681326268]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"United Republic of Tanzania"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Tanzania","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Thailand"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Thailand","Weighted average",3449.1636487017117,23962.12440148685,4915.4976294236194,4371.5087752053723,1040.5826789430921]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Togo"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Togo","Weighted average",5545.3090172242573,31835.791779799081,6906.6096855670221,3233.728135476088,2498.9744258083579]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Tonga"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Tonga","Weighted average",1523.5033782287246,17843.800614681746,3796.8211916673258,3585.8691959004291,877.35101681639128]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Trinidad and Tobago"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Trinidad and Tobago","Weighted average",1937.7489314873144,17417.583147404286,3692.649598867551,4036.3725904785383,1230.9374218679147]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Tunisia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Middle East & North Africa"},"Tunisia","Weighted average",2584.7002787412443,46188.273943406588,3979.8799855210691,8712.6339156678023,1285.6765489521492]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Turkey"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Turkey","Weighted average",3479.4719256343524,19590.853575675075,4855.5351270092697,4535.6172092048801,910.36110390805118]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Turkmenistan"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Turkmenistan","Weighted average",6385.2515771143781,18375.328600937682,8863.3178869354069,3297.6407366898393,1464.9391459141591]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Tuvalu"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Tuvalu","Weighted average",1685.0760657371568,0,5329.3240670337891,3072.5138613181412,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Uganda"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Uganda","Weighted average",7312.8355969173554,16936.589956043415,9196.3957159647416,5239.587749460813,1731.2312755509063]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Ukraine"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Ukraine","Weighted average",5082.2061030316336,11638.397828318068,6158.4485068536796,3139.1393253955225,1095.2532578676801]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Middle East & North Africa"},"United Arab Emirates","Weighted average",4690.4201426664504,14331.401383738368,7931.3113113447307,0,932.68052842255429]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"United Kingdom"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"United Kingdom","Weighted average",1217.2544773799764,6333.6720568448964,1731.7377519703036,2757.020621630083,424.13452597668936]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"United States of America"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"North America"},"United States of America","Weighted average",1205.8749629543286,12932.808624849167,1727.79744982073,2994.3530522607853,646.58349097484449]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Uruguay"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Uruguay","Weighted average",2193.9860775918678,13658.016692075678,3355.4439514029909,3494.0848081897598,1216.3068218308497]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Uzbekistan"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Uzbekistan","Weighted average",2671.4323346049796,10524.165163927733,6108.9617181422136,3379.5985496106528,622.77796238307508]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Vanuatu"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Vanuatu","Weighted average",3356.7040470532265,25463.918779116546,5715.4949340968778,3891.0845018169011,1127.7391078982146]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Venezuela (Bolivarian Republic of)"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Venezuela","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Viet Nam"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Vietnam","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Yemen"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Middle East & North Africa"},"Yemen","Weighted average",1904.5143598909217,24011.337717464681,4319.4599875450449,0,1073.1593243429563]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Zambia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Zambia","Weighted average",2639.9182027849379,32618.450592783702,5247.4789808731484,4378.9674142045906,1750.8271362468863]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Zimbabwe"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreenAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Zimbabwe","Weighted average",6544.2717198607525,19324.548954513655,7738.5899130025091,4093.620598949145,1534.4074778250599]

{"sheet":"WF-ap-blue","index":84,"n_rows":920,"n_cols":24,"rows_kept":281,"cut":true,"hidden":true,"merged":[],"bounds":{"rows_first":125,"rows_last":31,"rows_between":125,"halvings":4}}
[]
[null,"Animal protein water footprint - Blue"]
[]
[null,"Water footprint type","Blue"]
[]
[null,"Tool commodity name","Eggs","Meat (cattle)","Meat (chicken)","Meat (pig)","Milk (cattle)","Butter","Cheese","Yoghurt"]
[null,"WFN commodity name",{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-ap-blue'!C$6,Table127[Tool commodity list],0))","v":"Egg,unshelld;ylk,not dry"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-ap-blue'!D$6,Table127[Tool commodity list],0))","v":"Bovine meat,fh,ch,bnless"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-ap-blue'!E$6,Table127[Tool commodity list],0))","v":"Poultry,prprd,prsrvd,nes"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-ap-blue'!F$6,Table127[Tool commodity list],0))","v":"Meat of swine,frsh,chlld"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-ap-blue'!G$6,Table127[Tool commodity list],0))","v":"Milk,fat cont.1% or less"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-ap-blue'!H$6,Table127[Tool commodity list],0))","v":"butter"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-ap-blue'!I$6,Table127[Tool commodity list],0))","v":"Processed cheese, whole"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-ap-blue'!J$6,Table127[Tool commodity list],0))","v":"Yogurt"}]
[null,"^^ used to populate headers for the table below"]
[]
[null,"Region","Production system","Egg,unshelld;ylk,not dry","Bovine meat,fh,ch,bnless","Poultry,prprd,prsrvd,nes","Meat of swine,frsh,chlld","Milk,fat cont.1% or less","butter","Processed cheese, whole","Yogurt"]
[null,"Global","Grazing",{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&D$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":2558.2304164784391},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&E$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":677.20521406570435},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&F$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":2304.8974647853693},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&G$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":451.99893535659066},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&H$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":212.66968024135443},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&I$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":1157.7803122786843},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&J$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":1065.2862341211755},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&K$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":247.30905613753566}]
[null,"Global","Mixed",{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&D$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":516.26739709148637},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&E$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":947.90898357563424},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&F$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":966.63055189530985},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&G$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":450.6304100631537},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&H$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":160.80029488786764},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&I$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":{"$error":"#DIV/0!"}},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&J$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":{"$error":"#DIV/0!"}},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&K$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":{"$error":"#DIV/0!"}}]
[null,"Global","Industrial",{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&D$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":431.51314977404792},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&E$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":1504.6900943704036},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&F$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":622.96425343188014},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&G$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":471.67113290823085},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&H$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":36.543470737811923},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&I$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":{"$error":"#DIV/0!"}},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&J$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":{"$error":"#DIV/0!"}},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&K$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":{"$error":"#DIV/0!"}}]
[null,"Global","Weighted average",{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&D$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":470.04799621754671},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&E$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":937.81165505942306},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&F$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":767.05048727562109},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&G$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":454.9838673512005},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&H$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":160.2479297072739},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&I$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":{"$error":"#DIV/0!"}},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&J$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":{"$error":"#DIV/0!"}},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionBlueAP[\"&K$10&\"]\"),WFRegionBlueAP[Production system],WFGlobalBlueAP[[#This Row],[Production system]])","v":{"$error":"#DIV/0!"}}]
[]
[]
[null,"Region","Production system","Egg,unshelld;ylk,not dry","Bovine meat,fh,ch,bnless","Poultry,prprd,prsrvd,nes","Meat of swine,frsh,chlld","Milk,fat cont.1% or less","butter","Processed cheese, whole","Yogurt"]
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[null,"Europe & Central Asia","Grazing",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&D$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":99.640692776182561},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&E$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":619.42718117350637},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&F$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":1521.4436323206796},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&G$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":958.16205080148939},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&H$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":45.42232740294024},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&I$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":247.20001068951802},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&J$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":233.402416625124},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&K$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":52.803455605918032}]
[null,"Middle East & North Africa","Grazing",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&D$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":1469.4868439410081},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&E$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":2539.2553835452195},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&F$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":1690.8248538454511},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&G$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":507.83959144509623},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&H$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":642.41878928460983},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&I$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":3496.2085973609328},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&J$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":3191.6389509714631},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&K$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":746.81184254335892}]
[null,"East Asia & Pacific","Grazing",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&D$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":1908.6586141922519},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&E$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":194.81207587084921},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&F$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":9370.6010507100946},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&G$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":852.80904066817936},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&H$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":112.35620945996816},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&I$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":611.47144515848788},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&J$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":568.76077186933901},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&K$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":130.61409349721293}]
[null,"Sub-Saharan Africa","Grazing",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&D$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":330.99764400746602},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&E$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":300.39678783535146},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&F$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":1095.0229300627852},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&G$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":203.03316994657624},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&H$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":94.427175635582387},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&I$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":516.53678708214829},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&J$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":484.6798222394587},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&K$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":110.3354616750924}]
[null,"Latin America & Caribbean","Grazing",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&D$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":225.39151331955776},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&E$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":207.32957598009423},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&F$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":489.97790866208578},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&G$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":231.46331811529569},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&H$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":31.710090895148873},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&I$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":172.57448608278443},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&J$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":172.10120224679665},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&K$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":36.862980665610557}]
[null,"North America","Grazing",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&D$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":78.723754485125156},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&E$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":277.15816136746417},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&F$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":122.21719276706138},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&G$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":287.27074030223247},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&H$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":32.0426662413469},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&I$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":174.38444681874401},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&J$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":168.98336747930381},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&K$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":37.249599505565762}]
[null,"South Asia","Mixed",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&D$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":1160.0154079359022},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&E$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":1855.5040681816288},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&F$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":1877.4108189349979},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&G$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":265.80581846060085},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&H$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":236.57630487515502},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&I$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&J$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&K$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"Europe & Central Asia","Mixed",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&D$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":684.3090993326033},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&E$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":591.05153224883054},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&F$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":721.36529989924429},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&G$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":800.68457285184388},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&H$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":205.34994650884258},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&I$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&J$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&K$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"Middle East & North Africa","Mixed",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&D$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":1045.9792051936356},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&E$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":2755.4825335805194},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&F$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":1582.6708828289038},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&G$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":591.44316508250893},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&H$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":309.06007109597965},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&I$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&J$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&K$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"East Asia & Pacific","Mixed",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&D$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":288.5745821283549},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&E$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":293.39811383447176},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&F$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":578.88663854181914},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&G$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":429.83738110434354},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&H$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":95.87671116784739},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&I$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&J$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&K$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"Sub-Saharan Africa","Mixed",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&D$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":253.67726951377691},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&E$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":527.55762513180332},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&F$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":1602.6510295399275},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&G$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":469.93257023580634},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&H$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":166.74289192371248},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&I$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&J$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&K$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"Latin America & Caribbean","Mixed",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&D$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":127.14020328458351},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&E$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":337.09324004295593},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&F$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":324.97043444425259},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&G$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":344.11851156743984},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&H$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":83.709375740512215},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&I$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&J$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&K$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"North America","Mixed",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&D$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":54.176012251547796},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&E$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":275.27577200923048},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&F$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":78.4587590780243},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&G$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":252.5908511395327},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&H$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":28.28676290302397},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&I$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&J$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&K$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"South Asia","Industrial",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&D$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":946.90110507660779},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&E$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":2410.1539894134298},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&F$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":1787.6051397990102},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&G$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":411.24366084153047},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&H$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":0},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&I$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&J$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&K$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"Europe & Central Asia","Industrial",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&D$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":595.51469281780089},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&E$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":752.2085655357115},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&F$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":432.08726418249046},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&G$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":895.11927715412321},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&H$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":183.29338545678576},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&I$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&J$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&K$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"Middle East & North Africa","Industrial",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&D$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":748.2297378501072},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&E$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":5976.2379188233508},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&F$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":1290.5288053957697},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&G$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":548.00849706431984},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&H$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":3.5838651629203206},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&I$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&J$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&K$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"East Asia & Pacific","Industrial",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&D$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":181.5277440913863},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&E$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":401.08083530956333},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&F$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":230.7070128369555},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&G$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":446.40724205110763},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&H$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":40.537750321826955},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&I$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&J$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&K$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"Sub-Saharan Africa","Industrial",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&D$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":270.90324725602818},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&E$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":328.96136772766033},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&F$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":287.44079718667558},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&G$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":364.83334508380983},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&H$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":0},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&I$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&J$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&K$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"Latin America & Caribbean","Industrial",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&D$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":219.24821870259441},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&E$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":463.7585234429053},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&F$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":252.58235517408085},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&G$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":437.00783839165831},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&H$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":0},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&I$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&J$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&K$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"North America","Industrial",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&D$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":58.267302623810679},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&E$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":200.42946034020147},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&F$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":79.798399448179666},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&G$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":199.07806977106645},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&H$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":28.389294223150454},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&I$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&J$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&K$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"South Asia","Weighted average",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&D$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":1043.8816654162706},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&E$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":1638.8498862179138},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&F$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":1736.6343675534172},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&G$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":309.19484206071007},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&H$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":273.34768297278845},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&I$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&J$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&K$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"Europe & Central Asia","Weighted average",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&D$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":631.74010184681197},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&E$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":710.03881540575367},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&F$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":998.51093289711287},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&G$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":838.9533187201273},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&H$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":201.51539011552242},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&I$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&J$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&K$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"Middle East & North Africa","Weighted average",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&D$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":886.17760526822224},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&E$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":2892.8320794940187},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&F$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":1510.5463114882209},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&G$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":609.75897054215727},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&H$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":343.12399454076706},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&I$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&J$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&K$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"East Asia & Pacific","Weighted average",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&D$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":201.98741950735359},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&E$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":309.5047015001806},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&F$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":322.95218303592816},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&G$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":438.88801238404182},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&H$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":91.905323803196552},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&I$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&J$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&K$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"Sub-Saharan Africa","Weighted average",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&D$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":268.71494928644},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&E$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":330.08053645557573},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&F$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":412.32202244160482},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&G$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":358.82854381011333},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&H$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":125.19575906371524},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&I$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&J$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&K$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"Latin America & Caribbean","Weighted average",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&D$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":200.03315159645948},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&E$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":417.48640654199045},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&F$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":308.68336802973653},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&G$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":405.76547245929112},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&H$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":58.426266570169979},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&I$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&J$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&K$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""}]
[null,"North America","Weighted average",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&D$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":57.801080601269007},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&E$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":265.88915980052747},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&F$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":79.704225483326681},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&G$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":223.49791148196255},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&H$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":28.221090884757587},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&I$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&J$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryBlueAP[\"&K$17&\"]\"),WFCountryBlueAP[Region],WFRegionBlueAP[[#This Row],[Region]],WFCountryBlueAP[Production system],WFRegionBlueAP[[#This Row],[Production system]]),\"\")","v":""}]
[]
[null,null,null,null,null,"To get the latest version of this data, copy-paste the *values* from \"IFC Food loss climate impact tool - phase 2 - only WF data.xlsx\""]
[null,"Tool country","Region","WFN country name","Production system","Egg,unshelld;ylk,not dry","Bovine meat,fh,ch,bnless","Poultry,prprd,prsrvd,nes","Meat of swine,frsh,chlld","Milk,fat cont.1% or less","butter","Processed cheese, whole","Yogurt"]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"South Asia"},"Afghanistan","Grazing",3969.0357638188202,1951.536675690947,4200.6330548716542,0,2733.2777102951172,14875.201642763854,13527.697994070406,3177.4353382180734,{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!N$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!O$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!P$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!Q$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!R$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!S$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!T$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$679,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!U$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!V$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!W$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!X$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""}]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Albania","Grazing",0,408.20217736687943,3736.946865341039,1046.1496998822995,0,0,0,0,{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!N$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!O$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!P$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!Q$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!R$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!S$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!T$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$679,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!U$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!V$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!W$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!X$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""}]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Algeria"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Middle East & North Africa"},"Algeria","Grazing",931.74668858522591,927.63714882220563,1222.7991143445004,275.02528946108805,118.55303341282013,645.19615798081907,601.93415121789667,137.81790134240339,{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!N$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!O$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!P$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!Q$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!R$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!S$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!T$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$679,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!U$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!V$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!W$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!X$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""}]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"American Samoa","Grazing","","","","","","","","",{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!N$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!O$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!P$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!Q$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!R$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!S$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!T$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$679,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!U$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!V$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!W$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!X$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""}]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Grazing","","","","","","","","",{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!N$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!O$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!P$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!Q$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!R$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!S$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!T$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$679,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!U$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!V$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!W$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!X$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""}]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Angola"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Angola","Grazing",151.59484624664083,196.83212141897127,225.12452099471264,89.864430003192297,45.317154630775484,246.62763336123319,239.89615833475739,52.681192258276504,{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!N$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!O$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!P$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!Q$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!R$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!S$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!T$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$679,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!U$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!V$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!W$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!X$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""}]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Antigua and Barbuda"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Antigua and Barbuda","Grazing",177.87655719503664,171.90806320100469,922.34535514073661,94.231963910659701,24.186544014862591,131.62940520369523,135.43801591869556,28.11685741727776,{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!N$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!O$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!P$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!Q$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!R$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!S$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!T$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$679,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!U$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!V$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!W$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!X$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""}]
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[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Zimbabwe"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Zimbabwe","Grazing",219.64270463618951,186.7325597201079,217.6699043579799,180.94516580120575,74.540147723459242,null,null,"",{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!N$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!O$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!P$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!Q$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!R$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!S$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$461,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!T$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$679,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!U$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!V$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!W$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!X$24&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryBlueAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$243,#REF!&#REF!,0)),\"\")","v":""}]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Antigua and Barbuda"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Antigua and Barbuda","Mixed",105.10286397656247,211.15703247915022,470.35526742539349,238.74079178555502,46.23793399958258]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Bangladesh"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"South Asia"},"Bangladesh","Mixed",227.64548372982023,494.42720810221124,319.85802061300461,0,161.74330828043739]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Belarus","Mixed",46.905595087993348,302.2892763912634,64.058968557364622,197.45758249130569,28.266234490167328]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Brazil"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Brazil","Mixed",28.800353334500603,187.39203426824736,31.635814314142671,594.50634240532929,42.262156923357878]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Canada"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"North America"},"Canada","Mixed",36.269026932590087,279.40344194672861,51.885835528277397,225.14678821072977,25.951204236314126]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Cayman Islands","Mixed","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Congo"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Congo","Mixed","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Croatia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Croatia","Mixed",33.449144673250309,275.61267159359096,40.363642504070057,185.19160763167116,26.761364996455487]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Dominica"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Dominica","Mixed",134.42989245006783,0,86.002483758317879,288.60598733206638,77.416508682135245]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Ethiopia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Ethiopia","Mixed",304.4368376399463,330.33856520490787,381.01149020034575,623.30989600630085,179.83306962063622]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Finland"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Finland","Mixed",23.551689565051642,136.51361991371144,33.960964749549674,175.75245279353334,16.317224310876266]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Greece"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Greece","Mixed",339.16677854444185,1322.3631425413266,492.75642515115567,1096.7465286033475,261.91003400530326]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Haiti"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Haiti","Mixed",56.297895833161959,261.18215537274546,54.775174459568028,202.79246055285512,155.61481627749933]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Honduras"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Honduras","Mixed",127.28305891650184,250.15885716734957,263.23054822386212,430.60692652067945,46.857516985842345]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Mixed","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Jamaica"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Jamaica","Mixed",310.53539345092219,218.5551427667863,528.64902364176828,385.7636303549537,107.6058690560935]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Korea, Republic of","Mixed",224.43197963874729,183.78934433544069,306.41614778599541,444.9982767899657,68.469004998264609]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Middle East & North Africa"},"Libya","Mixed","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Malaysia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Malaysia","Mixed",157.18368162903332,352.22235703009881,231.25839123810448,275.0226644182606,106.68185106478866]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Malta"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Middle East & North Africa"},"Malta","Mixed",292.75309749279637,1955.2680806615042,439.31685116392612,1036.6623439034256,92.920422471158446]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Mongolia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Mongolia","Mixed",904.74951829317251,311.63254836816748,1111.7675949796399,543.63068002674652,84.685135249804162]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Mozambique"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Mozambique","Mixed",54.628303062922669,300.03233060462946,59.782512391144735,233.44961771706522,191.62109050051308]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Niger"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Niger","Mixed",238.61206594007263,340.6012040844688,230.9771485679594,497.52378970259878,158.3800545350156]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Mixed","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Paraguay"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Paraguay","Mixed",20.469677925909124,227.69645493802318,40.31405269535977,163.71479807363221,32.115300707739344]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Rwanda"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Rwanda","Mixed",177.17031888286681,333.43616298995414,494.52924988629627,258.72975814262367,71.614259324939169]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Seychelles"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Seychelles","Mixed",59.615622966184063,166.97790484329408,90.439310527354024,286.31561747982749,79.644396103960489]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Mixed","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Saint Kitts and Nevis"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Saint Kitts and Nevis","Mixed",41.788094859559855,219.47614706328361,40.810403342362001,210.44732491847498,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Mixed","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"United Republic of Tanzania"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Tanzania","Mixed","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Turkey"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Turkey","Mixed",487.06503753333351,791.71623185583871,406.23409750926874,971.17626506150975,114.76810621088292]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Tuvalu"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Tuvalu","Mixed",612.87155665281102,0,1849.0575000354995,675.05638256155942,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Venezuela (Bolivarian Republic of)"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Venezuela","Mixed","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"South Asia"},"Afghanistan","Industrial",4297.7924781637312,12134.345525554703,9979.5741022506336,0,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"American Samoa","Industrial","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Azerbaijan"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Azerbaijan","Industrial","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Bahamas"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Bahamas, The","Industrial","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Benin"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Benin","Industrial",49.423026884153074,206.26884082267739,29.609830025470966,328.24838905781559,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Burkina Faso"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Burkina Faso","Industrial",53.258787248489789,182.36015324063092,25.844888963714315,322.0108886297827,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Cambodia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Cambodia","Industrial",164.65289108023919,223.67380073884345,164.09826728546079,423.48587414616981,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Colombia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Colombia","Industrial",199.20967289450297,175.25762409336244,206.34134095188961,408.26954047451267,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Cuba","Industrial",176.21982328953465,1218.517146244578,150.90413989394318,524.08109973805995,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Czech Republic"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Czech Republic","Industrial",24.688444493599015,155.01303621986969,28.481615399939137,147.26931102679112,20.196698718186486]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Eritrea"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Eritrea","Industrial",235.53591389813306,219.19520899088118,341.84954371429535,0,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Estonia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Estonia","Industrial",28.446000276266275,238.53130895529802,30.551141271103013,175.48507788046504,23.267817854864884]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Gambia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Gambia, The","Industrial","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Guam","Industrial","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Guinea-Bissau"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Guinea-Bissau","Industrial",132.00695516030643,237.68752816779198,150.00494773470425,378.78156946556084,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Middle East & North Africa"},"Iran","Industrial","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Japan"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Japan","Industrial",115.2586709579069,512.98052209616128,152.3081372333782,403.18481751996018,59.734426770254601]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Kenya"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Kenya","Industrial",63.865492913619718,195.2689657644863,73.165310916085431,267.21331477531902,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Lao People's Democratic Republic"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Laos","Industrial",223.52388562717147,407.06672740847358,188.74483374251105,625.18166421680451,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Lesotho"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Lesotho","Industrial",42.46741317284468,237.44763665739657,34.135522881125404,250.67467533190751,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Malaysia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Malaysia","Industrial",125.81257716501707,416.42737464916377,147.35194042852547,397.0430222272542,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Mexico"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Mexico","Industrial",304.67134118691501,1402.4420214258716,305.3167838192208,602.29547359557682,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Mozambique"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Mozambique","Industrial",46.896447296866633,181.18831736654735,34.26815396215428,183.25217554888587,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"New Caledonia","Industrial",195.90476963091749,192.48440209475939,349.17487558275923,308.27802185879028,74.536339540225555]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Norway"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Norway","Industrial",26.841709434051541,136.9901880132995,39.349898909575074,221.73128754105068,19.551404493952191]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Industrial","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Portugal"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Portugal","Industrial",758.7692943768443,3084.5018643180188,1026.2455943855366,982.57723687966882,149.31485418391046]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Romania"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Romania","Industrial",110.0330629285523,468.71626345168414,89.847697506273008,187.81711795104241,50.811887841915933]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Seychelles"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Seychelles","Industrial",44.71333851015374,123.70980956991856,51.94815291651684,239.86866227997069,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Somalia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Somalia","Industrial",5215.0946799127796,3160.7143425958893,6102.9041201615501,1282.7804661547566,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Spain"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Spain","Industrial",385.28227788533223,1059.8036131238109,444.55896907310904,509.9929403482119,148.64043469802354]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Middle East & North Africa"},"Syrian Arab Republic","Industrial",1026.552588598915,3447.6492208181885,632.62233301922925,0,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Tonga"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Tonga","Industrial",220.77722299991578,1718.7540696686262,349.62062880564042,620.2985353499962,145.83079556303713]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Turkey"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Turkey","Industrial",255.40260850775425,1535.5059381365706,208.61566874842998,658.56913826494383,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"United Kingdom"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"United Kingdom","Industrial",33.44388923222828,209.68094524392023,36.821316857300715,200.54315977956975,26.851680193093092]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Uzbekistan"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Uzbekistan","Industrial",1981.8676565178177,1372.4021983930204,2106.9311672036829,5223.375906457024,408.13191824148396]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"South Asia"},"Afghanistan","Weighted average",4381.3034427496004,7618.011053126258,7759.1081846797661,0,1024.794104386043]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Argentina"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Argentina","Weighted average",62.212005423205824,188.48482305563667,82.672428240737048,203.38969972280074,24.091547106351211]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Australia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Australia","Weighted average",111.29495766474184,613.33166303524808,175.93188759609538,884.99677721785213,63.1795396602868]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Belarus","Weighted average",46.22106714888843,296.90884257334477,68.222271134481844,170.995278738227,30.038836354748064]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Bolivia (Plurinational State of)"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Bolivia","Weighted average",166.66429573158985,234.60770055884666,227.07245657381293,240.24612439938591,70.891585354957257]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Burkina Faso"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Burkina Faso","Weighted average",54.626195634294859,315.25645549136783,43.68732409131195,429.71460497953632,221.28579412747584]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Central African Republic"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Central African Republic","Weighted average",247.90303542342463,222.99367117149589,283.41859962583607,304.235577612702,114.38093458096829]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Chile"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Chile","Weighted average",586.72367788621375,325.67979866441624,745.87610401209565,607.52797491198226,75.481784507401059]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Cuba","Weighted average",229.48161811053853,708.34287723005536,265.09304650956221,364.94810245504789,71.34047852128802]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Dominican Republic"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Dominican Republic","Weighted average",201.6896467387497,239.42774983081296,336.72189702837454,423.07485188129357,56.909923040388399]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"El Salvador"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"El Salvador","Weighted average",95.892921004038925,274.10972965085216,135.92477039491575,342.70147726671865,36.040805941261048]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Fiji"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Fiji","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Grenada"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Grenada","Weighted average",159.31419901328229,396.22344088737066,253.78697077013865,419.14673633632839,63.597653821620987]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"India"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"South Asia"},"India","Weighted average",639.57903600913824,721.72379788599267,873.32117915776632,859.71885805198701,129.68126064903115]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Italy"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Italy","Weighted average",117.03234066498764,593.51087631543567,195.52844505725542,410.8133453013013,74.174666394555359]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Lao People's Democratic Republic"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Laos","Weighted average",251.89503178162198,383.04076954705801,345.87410564570354,583.71493291571005,210.37533373049496]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Lithuania"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Lithuania","Weighted average",33.102634300997344,252.35380960109225,47.100515500171014,130.72127550435272,21.357409201449101]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Marshall Islands"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Marshall Islands","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Mexico"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Mexico","Weighted average",299.28899760228762,801.45765224071874,403.26114486693604,600.88785015289795,134.31239223676113]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Nauru","Weighted average",279.69294930982676,0,445.92002804467018,584.44516148238131,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Nepal"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"South Asia"},"Nepal","Weighted average",182.87521223043638,466.11229611831402,224.54029272289989,463.40405019576599,108.45728620500081]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Peru"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Peru","Weighted average",231.96565438545093,251.27576505146055,362.88921208469969,368.28697587947488,46.590618450069584]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Portugal"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Portugal","Weighted average",715.798175771008,2630.4812297187341,979.37880193481942,1201.8880702412187,205.46159201156948]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Slovakia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Slovakia","Weighted average",85.809109271188007,261.29588824199595,112.3933221487343,191.92863044556555,35.401163771373604]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Somalia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Somalia","Weighted average",2740.436367228062,1447.5507591989297,5982.5998019181907,1047.4714261033139,485.78274438810706]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sudan"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Sudan","Weighted average",860.38907214399353,513.46182443401301,999.3487922979142,0,306.80461401819832]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sweden"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Sweden","Weighted average",16.804762435317969,133.99014893746656,26.386637187164816,149.95666346251232,15.135603392184274]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Switzerland"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Switzerland","Weighted average",65.599677048342926,203.26065347723573,80.817976892775505,241.84715010498218,21.384104476959379]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Middle East & North Africa"},"Syrian Arab Republic","Weighted average",1312.1304419359928,1329.1657450578577,1329.5824837507189,0,455.92392002806542]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Tajikistan"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Tajikistan","Weighted average",11300.229307527959,5131.3330580579159,19952.909791255555,4234.5123756810253,4797.9635874026362]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"United Republic of Tanzania"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Tanzania","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Thailand"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Thailand","Weighted average",174.22842702468819,237.57947886916133,234.00424885314371,439.05503789403963,70.423332804932031]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Togo"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Togo","Weighted average",78.560913730967854,286.10533452149309,88.237444981585867,392.4240963514921,116.45412306723478]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Tonga"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Tonga","Weighted average",308.572428259878,380.43811059920807,757.39218663618578,715.24445797274052,77.187019840351951]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Trinidad and Tobago"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Trinidad and Tobago","Weighted average",219.09281236377149,464.13352522287914,360.01627482397822,512.9431155606469,89.01951201611466]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Tunisia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Middle East & North Africa"},"Tunisia","Weighted average",475.46288913844228,4034.6318304797633,712.21880136981395,1713.6878158840784,207.26970958746134]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Turkey"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Turkey","Weighted average",357.68738024576868,885.82720872215077,485.40787351313571,728.54281705878793,116.15798527873494]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Turkmenistan"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Turkmenistan","Weighted average",4379.9998938348435,3747.9300438051464,5258.3017204329617,7539.0715660883679,783.70699716539741]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Tuvalu"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Tuvalu","Weighted average",258.25526572656679,0,484.82803239614543,640.46035756286938,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Uganda"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Uganda","Weighted average",151.00674440668138,363.88743407603999,97.409671003141739,205.6987577575124,96.005501425177698]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Ukraine"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Ukraine","Weighted average",120.97114783775959,428.37896229115756,144.1900439380255,185.31010214528851,44.121360131312343]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Middle East & North Africa"},"United Arab Emirates","Weighted average",589.66026584376891,4734.7395016683658,961.04374358314089,0,440.54377714053572]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"United Kingdom"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"United Kingdom","Weighted average",34.901953080959856,204.89997678432934,38.357502555869154,203.949569548753,23.393388463860834]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"United States of America"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"North America"},"United States of America","Weighted average",135.43631098253493,524.73337866225359,186.98972569349093,460.85121574349893,59.540466281055053]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Uruguay"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Uruguay","Weighted average",51.909589068944413,162.83628470887649,76.723983472875304,176.53816184232863,26.447608981383119]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Uzbekistan"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Uzbekistan","Weighted average",2579.3839361441169,1714.1387258568398,5296.3124636630455,7614.0338030052862,353.61358521215578]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Vanuatu"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Vanuatu","Weighted average",65.556192871307218,147.78650509538164,44.757272635796141,235.05748024869121,146.10611101111417]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Venezuela (Bolivarian Republic of)"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Venezuela","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Viet Nam"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Vietnam","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Yemen"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Middle East & North Africa"},"Yemen","Weighted average",1556.4485613340378,2213.5272799196796,3268.5966612363059,0,550.39019259365136]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Zambia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Zambia","Weighted average",103.87564952309071,248.3662454984607,115.79713997302244,288.00063974908358,191.52217028878681]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Zimbabwe"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryBlueAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Zimbabwe","Weighted average",134.81434328151877,215.31050569830396,137.75493539053855,284.30001406878728,105.01639631757804]

{"sheet":"WF-ap-grey","index":85,"n_rows":921,"n_cols":45,"rows_kept":281,"cut":true,"hidden":true,"merged":[],"bounds":{"rows_first":125,"rows_last":31,"rows_between":125,"halvings":4}}
[]
[null,"Animal protein water footprint - Grey"]
[]
[null,"Water footprint type","Grey"]
[]
[null,"Tool commodity name","Eggs","Meat (cattle)","Meat (chicken)","Meat (pig)","Milk (cattle)","Butter","Cheese","Yoghurt"]
[null,"WFN commodity name",{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-ap-grey'!C$6,Table127[Tool commodity list],0))","v":"Egg,unshelld;ylk,not dry"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-ap-grey'!D$6,Table127[Tool commodity list],0))","v":"Bovine meat,fh,ch,bnless"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-ap-grey'!E$6,Table127[Tool commodity list],0))","v":"Poultry,prprd,prsrvd,nes"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-ap-grey'!F$6,Table127[Tool commodity list],0))","v":"Meat of swine,frsh,chlld"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-ap-grey'!G$6,Table127[Tool commodity list],0))","v":"Milk,fat cont.1% or less"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-ap-grey'!H$6,Table127[Tool commodity list],0))","v":"butter"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-ap-grey'!I$6,Table127[Tool commodity list],0))","v":"Processed cheese, whole"},{"$f":"INDEX(Table127[WFN Commodity list],MATCH('WF-ap-grey'!J$6,Table127[Tool commodity list],0))","v":"Yogurt"}]
[null,"^^ used to populate headers for the table below"]
[]
[]
[null,"Region","Production system","Egg,unshelld;ylk,not dry","Bovine meat,fh,ch,bnless","Poultry,prprd,prsrvd,nes","Meat of swine,frsh,chlld","Milk,fat cont.1% or less","butter","Processed cheese, whole","Yogurt"]
[null,"Global","Grazing",{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&D$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":1511.5174392377708},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&E$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":407.19031425121295},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&F$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":2166.2743364720304},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&G$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":347.55058567408645},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&H$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":63.738587152173729},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&I$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":346.88181619535868},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&J$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":315.08859517416698},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&K$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":74.096107564401947}]
[null,"Global","Mixed",{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&D$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":295.97522927848826},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&E$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":454.64771162045707},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&F$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":478.54448943700578},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&G$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":243.36234616592975},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&H$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":63.606052585668102},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&I$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":346.16052893136003},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&J$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":314.4334170122699},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&K$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":73.942036130839156},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&L$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&M$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&N$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&O$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&P$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&Q$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&R$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&S$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&T$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&U$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&V$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&W$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&X$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&Y$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&Z$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&AA$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&AB$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&AC$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&AD$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&AE$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&AF$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&AG$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&AH$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&AI$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&AJ$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&AK$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&AL$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&AM$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&AN$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&AO$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&AP$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&AQ$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&AR$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFnational[\"&AS$18&\"]\"),WFCountryGreyAP[Region],WFGlobalGreyAP[[#This Row],[Region]]),\"\")","v":""}]
[null,"Global","Industrial",{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&D$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":236.98304200643614},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&E$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":788.80626340418655},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&F$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":311.28497534631936},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&G$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":263.56433544326268},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&H$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":24.82248578185062},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&I$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":135.09036417664245},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&J$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":122.70874713713059},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&K$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":28.856139721401348}]
[null,"Global","Weighted average",{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&D$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":267.97476115528889},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&E$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":495.15401424279816},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&F$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":418.93203005543802},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&G$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":258.74277592025283},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&H$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":62.559648836682705},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&I$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":340.46573007968334},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&J$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":309.2605711431637},{"$f":"AVERAGEIFS(INDIRECT(\"WFRegionGreyAP[\"&K$11&\"]\"),WFRegionGreyAP[Production system],WFGlobalGreyAP[[#This Row],[Production system]])","v":72.725591772643625}]
[]
[]
[null,"Region","Production system","Egg,unshelld;ylk,not dry","Bovine meat,fh,ch,bnless","Poultry,prprd,prsrvd,nes","Meat of swine,frsh,chlld","Milk,fat cont.1% or less","butter","Processed cheese, whole","Yogurt"]
[null,"South Asia","Grazing",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&D$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":5038.5173484779416},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&E$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":92.249220798328906},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&F$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":890.14425971812227},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&G$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":53.959620279790272},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&H$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":31.964760387921405},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&I$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":173.96046308870046},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&J$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":158.01623311265277},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&K$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":37.159033950958644}]
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[null,"Sub-Saharan Africa","Industrial",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&D$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":69.874287425434417},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&E$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":60.352656171964838},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&F$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":88.182256333381986},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&G$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":94.811943088463806},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&H$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":0},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&I$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":0},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&J$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":0},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&K$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":0}]
[null,"Latin America & Caribbean","Industrial",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&D$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":290.57160520437361},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&E$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":421.0777963031548},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&F$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":374.85197259220183},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&G$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":399.00829683797787},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&H$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":0},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&I$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":0},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&J$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":0},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&K$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":0}]
[null,"North America","Industrial",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&D$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":145.79941874820574},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&E$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":607.60591201116551},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&F$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":201.38368877820758},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&G$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":311.85531066749002},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&H$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":62.660215945073737},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&I$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":341.0130421988697},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&J$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":309.75771973586797},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&K$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":72.842501036148221}]
[null,"South Asia","Weighted average",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&D$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":290.6475683414497},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&E$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":175.4778547918593},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&F$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":481.04572487994636},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&G$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":106.23809453652748},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&H$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":42.718478758510436},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&I$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":232.484969606823},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&J$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":211.17671510134036},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&K$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":49.660231556768373}]
[null,"Europe & Central Asia","Weighted average",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&D$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":318.55829716741414},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&E$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":631.25256199570356},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&F$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":458.18017569971272},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&G$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":421.62066991157417},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&H$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":85.388297144460537},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&I$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":464.70511692679236},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&J$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":422.11288002553187},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&K$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":99.263895430435383}]
[null,"Middle East & North Africa","Weighted average",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&D$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":506.04347401058817},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&E$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":1446.4731537913624},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&F$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":801.20942120020072},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&G$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":266.66258862324713},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&H$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":153.45515268438325},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&I$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":835.14248504768705},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&J$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":758.59805875710617},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&K$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":178.39161499559557}]
[null,"East Asia & Pacific","Weighted average",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&D$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":236.63150256359251},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&E$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":166.17122987740223},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&F$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":385.88061460945022},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&G$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":244.20045632850551},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&H$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":46.876638853544591},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&I$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":255.11474836788744},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&J$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":231.73237661491552},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&K$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":54.494092667245575}]
[null,"Sub-Saharan Africa","Weighted average",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&D$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":99.753366649881343},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&E$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":33.967051558353369},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&F$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":155.50141195825341},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&G$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":71.619245596838894},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&H$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":11.679785544441675},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&I$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":63.564402718174343},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&J$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":57.738449870992497},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&K$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":13.577750695413442}]
[null,"Latin America & Caribbean","Weighted average",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&D$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":279.81380387424576},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&E$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":328.1968684437191},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&F$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":449.72889158235995},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&G$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":326.23135520791527},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&H$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":38.62083742556613},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&I$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":210.18454954424223},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&J$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":190.92022513486978},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&K$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":44.896723507220621}]
[null,"North America","Weighted average",{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&D$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":144.37531547985046},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&E$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":684.53937924118679},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&F$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":200.97797045814249},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&G$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":374.62702123716139},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&H$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":59.178351445872238},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&I$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":322.06383834617696},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&J$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":292.54529249738954},{"$f":"IFERROR(AVERAGEIFS(INDIRECT(\"WFCountryGreyAP[\"&K$18&\"]\"),WFCountryGreyAP[Region],WFRegionGreyAP[[#This Row],[Region]],WFCountryGreyAP[Production system],WFRegionGreyAP[[#This Row],[Production system]]),\"\")","v":68.794833555826486}]
[]
[null,null,null,null,null,"To get the latest version of this data, copy-paste the *values* from \"IFC Food loss climate impact tool - phase 2 - only WF data.xlsx\""]
[null,"Tool country","Region","WFN country name","Production system","Egg,unshelld;ylk,not dry","Bovine meat,fh,ch,bnless","Poultry,prprd,prsrvd,nes","Meat of swine,frsh,chlld","Milk,fat cont.1% or less","butter","Processed cheese, whole","Yogurt"]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"South Asia"},"Afghanistan","Grazing",129.35612374298071,59.966581896521781,128.67250406019249,0,61.807410571116755,336.3718555928175,305.54191798620644,71.851114788923226,{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!N$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!O$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!P$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!Q$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!R$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!S$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!T$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$703,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!U$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!V$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!W$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!X$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""}]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Albania","Grazing",0,187.06233847975864,531.29325989446727,279.82681065652213,0,0,0,0,{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!N$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!O$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!P$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!Q$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!R$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!S$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!T$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$703,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!U$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!V$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!W$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!X$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""}]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Algeria"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Middle East & North Africa"},"Algeria","Grazing",803.22000353230544,796.95011744929695,1024.0769314245611,666.76607052206896,95.848877418344571,521.63429038335346,473.82424813815732,111.42431999882557,{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!N$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!O$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!P$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!Q$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!R$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!S$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!T$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$703,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!U$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!V$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!W$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!X$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""}]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"American Samoa","Grazing","","","","","","","","",{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!N$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!O$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!P$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!Q$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!R$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!S$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!T$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$703,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!U$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!V$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!W$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!X$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""}]
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[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Bosnia and Herzegovina"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Bosnia and Herzegovina","Grazing",486.96179948805968,276.36054269813042,857.87517953402937,481.75282799742536,79.338467334150366,431.78038410736326,392.20584158706799,92.230968275949806,{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!N$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!O$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!P$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!Q$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!R$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!S$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!T$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$703,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!U$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!V$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!W$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!X$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""}]
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[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Cambodia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Cambodia","Grazing",18.937994295966586,0,27.617182025080123,9.8057028655769169,1.2383905196661471,6.7396403311436908,6.1219231011038424,1.4396289791118959,{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!N$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!O$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!P$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!Q$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!R$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!S$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!T$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$703,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!U$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!V$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!W$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!X$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""}]
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[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Ecuador"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Ecuador","Grazing",68.940532927017856,2.6141162067439314,1128.4723537752463,292.47092504712447,1.8875397507402993,10.272477727103183,9.3309606467465489,2.1942649602355981,{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!N$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!O$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!P$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!Q$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!R$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!S$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!T$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$703,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!U$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!V$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!W$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!X$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""}]
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[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Ukraine"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Ukraine","Grazing",0,259.89746432946015,400.22789726038508,176.43612784374511,0,0,0,0,{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!N$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!O$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!P$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!Q$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!R$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!S$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!T$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$703,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!U$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!V$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!W$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!X$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""}]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Grazing","","","","","","","","",{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!N$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!O$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!P$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!Q$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!R$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!S$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!T$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$703,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!U$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!V$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!W$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!X$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""}]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Zambia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Zambia","Grazing",126.44029916599003,1.0858024151851038,195.92046855387912,53.036242867550854,3.8511188730242538,20.958781308871817,19.03781821603415,4.4769256898906944,{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!N$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!O$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!P$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!Q$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!R$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!S$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$485,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!T$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$703,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!U$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!V$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!W$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""},{"$f":"IFERROR(INDEX(#REF!,MATCH('WF-ap-green'!X$48&'WF-ap-green'!$C$4,#REF!&#REF!,0),MATCH(WFCountryGreyAP[[#This Row],[WFN country name]]&'WF-ap-green'!$E$267,#REF!&#REF!,0)),\"\")","v":""}]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Mixed","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Bangladesh"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"South Asia"},"Bangladesh","Mixed",135.00316791310505,4.8634578435878373,309.39221888566362,0,27.039664581431229,147.15682255282465,133.6692623355911,31.433610075913805]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Belgium"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Belgium","Mixed",163.68157595100223,270.70808346780552,277.32980351709165,515.76731671930474,45.842863387274868,249.48867588495486,226.62195804516006,53.292328687707034]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Botswana"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Botswana","Mixed",217.88062425687309,0.42549229686113288,280.35729616372907,110.66997294652249,4.0798918719337811,22.203822921870444,20.168746372130343,4.7428743011230212]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Cameroon"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Cameroon","Mixed",65.467876110023965,9.0465688437653409,107.95116890697912,69.933967943825735,7.8158296537302201,42.535759051054193,38.63717248446202,9.0859019724613805]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Canada"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"North America"},"Canada","Mixed",187.96522367873536,1317.4985995675831,293.33551716411421,686.17596022201519,89.373817617217952,486.39534637560632,441.81510599111289,103.89706298001587]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Democratic Republic of the Congo"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Congo, Democratic Republic of the","Mixed","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Cote d'Ivoire"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Cote d'Ivoire","Mixed","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Middle East & North Africa"},"Djibouti","Mixed",0,2.017363812723395E-3,0,0,9.6086575810076583E-2,0.5229279062840928,0.47499929853811645,0.11170064437921402]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Ethiopia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Ethiopia","Mixed",31.363899874686361,1.0983179692821867,44.215433290806175,41.220962809325172,1.8799242330635768,10.231032117449764,9.2933137067452947,2.1854119209364078]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Finland"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Finland","Mixed",119.46108058106937,127.01601804240268,132.16154849540104,268.62183692140945,19.296153250385558,105.01463844966077,95.389591950220549,22.431778153573212]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Ghana"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Ghana","Mixed",13.217959092274578,1.6382473134621887,19.375063547159652,4.678847035247589,2.5960717430605218,14.128491412216263,12.833553974758823,3.0179334013078565]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Guyana"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Guyana","Mixed",64.883848602734403,1349.0085951954738,1242.7798334320335,94.562216877566087,64.525154244223046,351.16251700220522,318.97695120961441,75.010491808909279]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Haiti"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Haiti","Mixed",21.260547344266023,6.9050452965691758,16.346160219337079,3.7249314116305396,4.0127462221704793,21.838398992973119,19.836815129201089,4.6648174832731817]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Ireland"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Ireland","Mixed",260.4140798103914,444.84041327642922,612.56789700787249,178.181636182294,31.11447815240702,169.33300805224505,153.81290437475428,36.17058085217316]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Italy"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Italy","Mixed",89.131126894970635,864.89278294714268,175.65346963617489,625.66255841531972,95.497083509008263,519.71973727432862,472.08517211472798,111.01535957922211]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Korea, Democratic People's Republic of","Mixed","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Liberia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Liberia","Mixed",396.69509937544876,9.2302652793698421,828.95299080609914,267.25281652022352,101.05105849387684,549.94590035596661,499.54097642109974,117.47185549913183]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Malaysia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Malaysia","Mixed",408.22025814064864,74.981331089111336,640.16868399415398,113.91625374804289,78.401295202379757,426.68005186466496,387.57297688721235,91.141505672766471]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Malta"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Middle East & North Africa"},"Malta","Mixed",143.97073774640518,1776.9994728808663,205.41363835570914,373.64153811864531,74.012069975191579,402.79275711082136,365.8750561687018,86.039031346160215]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Montenegro","Mixed","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Morocco"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Middle East & North Africa"},"Morocco","Mixed",409.86406517163135,98.429302485273922,359.90605386066113,596.79642934016931,92.676647693228077,504.37019876158314,458.1424852953391,107.73660294337763]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Nicaragua"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Nicaragua","Mixed",37.51229760435379,4.835252480856882,66.652983181525883,15.050103682121692,4.8074042588824915,26.163132805644398,23.765168354754355,5.5886074509508958]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Mixed","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Papua New Guinea"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Papua New Guinea","Mixed",868.18270736049226,128.19780757758357,2638.5768785022747,419.4164397926308,50.468348079089012,274.66175552742698,249.48781589769999,58.669454641940973]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Romania"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Romania","Mixed",109.46385044583039,673.03516581571034,128.92309649434708,149.23588127052599,43.535677185837031,236.93237403369341,215.21649564793654,50.610224728535549]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Seychelles"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Seychelles","Mixed",71.019048894275485,5.4602340053405172,122.3230968239523,101.13240200377039,36.392797391604745,198.05898153170844,179.90601795427091,42.306626967740513]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Mixed","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Saint Kitts and Nevis"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Saint Kitts and Nevis","Mixed",7.2786519134828662,0.28816002598182644,8.7257498765070061,0.79908600594027523,0,0,0,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Saint Lucia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Saint Lucia","Mixed",100.40824641507406,46.394181029116595,113.69234182564422,89.791507913244033,66.656914721244178,362.76410685541487,329.51520509887553,77.488663363446364]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Tajikistan"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Tajikistan","Mixed",1154.626771906552,266.9104770042876,1877.6303349736504,173.35699713527151,313.79863262632944,1707.7730220966948,1551.2482271648953,364.79091042810796]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Tunisia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Middle East & North Africa"},"Tunisia","Mixed",309.08137897498085,1090.7899129545265,236.08598875252642,777.00496379178389,110.10868772583609,599.23985271335027,544.31692452131085,128.00134948128445]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Mixed","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Vanuatu"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Vanuatu","Mixed",23.866159089639755,2.2797777559433565,23.414653811283191,2.6993853925990603,18.654237015354195,101.52116488205013,92.216310367548616,21.685550530349254]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Viet Nam"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Vietnam","Mixed","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"American Samoa","Industrial","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Azerbaijan"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Azerbaijan","Industrial","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Bahamas"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Bahamas, The","Industrial","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Bhutan"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"South Asia"},"Bhutan","Industrial",94.370859686879129,274.6810223627715,175.35195993716701,93.329393955913872,0,0,0,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Bulgaria"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Bulgaria","Industrial",541.77065859697313,1923.3378820578137,335.53232248368903,302.00388794463254,262.03272910742453,1426.0496354963529,1295.3460092705509,304.61304758738106]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Cabo Verde"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Cape Verde","Industrial",101.09381300705554,1.983822958811823,136.9637833438004,227.97031001738245,0,0,0,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"China"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"China","Industrial",627.61945068717944,1233.5640017608246,584.13669469002616,675.32045366627949,0,0,0,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Cuba","Industrial",227.37640131942905,244.21820000033679,237.03953941643545,210.46263476378223,0,0,0,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Czech Republic"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Czech Republic","Industrial",547.84107867480714,1759.4348555394813,279.49755779848834,486.79891535375469,187.12664160420914,1018.391404617012,925.05142107969175,217.53472086489313]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Eritrea"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Eritrea","Industrial",18.053249964143713,0.37044928299087537,30.031101908591655,0,0,0,0,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Estonia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Estonia","Industrial",261.15981310765335,957.58170445400731,170.5560118650846,267.81651796171093,114.0236911162403,620.54631002832207,563.67055273147878,132.55254092262936]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Gambia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Gambia, The","Industrial","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Grenada"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Grenada","Industrial",308.86959327200503,603.28754176844905,710.25632058406518,618.57164412018813,0,0,0,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Guinea"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Guinea","Industrial",51.456181294685472,226.3696035667688,44.639361726159301,95.344652002648743,0,0,0,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Indonesia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Indonesia","Industrial",301.79495713655484,684.63186663500869,346.35192932372507,464.22836689211141,0,0,0,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Jamaica"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Jamaica","Industrial",290.44425382017016,423.81764277289756,518.204379001598,826.50563827559517,0,0,0,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Kenya"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Kenya","Industrial",16.454499898446411,0.97068483916107184,35.512527609058125,47.249415903905614,0,0,0,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Lao People's Democratic Republic"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Laos","Industrial",4.4102588365780333,4.2434851034421879,3.8371744438659761,36.671728434568131,0,0,0,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Lesotho"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Lesotho","Industrial",8.4523678973092373,1.6026970537576883,10.17672039064535,6.8191990500461701,0,0,0,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Malaysia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Malaysia","Industrial",309.92986235320262,449.88798653466773,400.07537410847823,386.29240415755368,0,0,0,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Mexico"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Mexico","Industrial",378.57251476474056,1247.842858847772,394.56479168410226,539.53305206608718,0,0,0,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Industrial","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Netherlands"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Netherlands","Industrial",112.53360630934559,225.09737951480886,165.37598667758434,311.41369832047332,25.023604991227128,136.18490674084671,123.70297013416202,29.089940802301538]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Industrial","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Papua New Guinea"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Papua New Guinea","Industrial",177.55973602384699,1481.6205910382109,293.91682513936576,290.21008021321938,120.5171449179613,655.88535892728748,595.77062472284319,140.10118096713001]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Portugal"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Portugal","Industrial",367.47189652792497,1460.283396444044,492.98423215077264,376.50139603472996,65.984771545198015,359.10613048556587,326.1924981083572,76.707296921292681]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Romania"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Romania","Industrial",105.61059264968789,533.33849491390788,73.085812861094354,101.51794178206734,59.137623377679645,321.84218570378243,292.34395527978967,68.747487176552582]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Seychelles"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Seychelles","Industrial",37.044710654438802,24.524339995469521,64.006271593928503,106.76003702814633,0,0,0,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Somalia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Somalia","Industrial",454.54790302754401,329.56682622759047,512.48601941998118,168.00149164423928,0,0,0,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Spain"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Spain","Industrial",509.87286795839736,1264.7174741715241,596.27305762062008,486.84548874462575,175.33245890216591,954.20442308795703,866.74745444262271,203.82398347376787]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Switzerland"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Switzerland","Industrial",225.13918960581222,458.42046951019728,246.30446886844885,572.81362670247483,42.034868234690201,228.76458497534574,207.79731983670206,48.865534322827358]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Togo"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Togo","Industrial",34.628322355441732,43.506272714478015,46.377285305315169,68.820624360970669,0,0,0,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Turkmenistan"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Turkmenistan","Industrial",11.453107581232912,11.025037288358707,8.1989657467985868,10.808096170018731,2.3410954100114743,12.740844502445217,11.573090915054101,2.7215234141383386]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"United Kingdom"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"United Kingdom","Industrial",223.42804607668521,872.40988404750794,311.15677130613847,446.73771869555912,80.20705161421688,436.50744358655868,396.49964558907885,93.240697501527123]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Uzbekistan"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Uzbekistan","Industrial",22.389674528865413,10.466471933401854,23.851011987426595,63.636382975588155,3.6910841450260214,20.087831079463356,18.246694347793163,4.2908853185927498]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"South Asia"},"Afghanistan","Weighted average",143.06227656450511,250.97545549495598,239.00596762156414,0,31.585365650105683,171.89569915858263,156.14071374054268,36.717987568247857]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Argentina"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Argentina","Weighted average",77.099695995731423,23.433499032627658,107.94074172483484,102.08777760333055,11.516936769555466,62.678137720444617,56.933414899284962,13.388438994608229]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Australia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Australia","Weighted average",119.80915248220086,62.0034115550935,204.63541356561745,302.39926682722171,32.743556249274057,178.19887085551309,161.86617244838359,38.06438413978109]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Belarus","Weighted average",352.96588154068922,1114.3376814864027,457.53574311978821,511.48966892436761,115.7212801430003,629.78502696677458,572.06250124373332,134.52598816623785]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Brazil"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Brazil","Weighted average",160.65229761892203,82.104199395615936,240.47717760194709,276.7292856957053,21.562167298363882,117.34687083206791,106.59152181599835,25.066019484348011]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Burkina Faso"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Burkina Faso","Weighted average",12.1627657472691,4.2835105715066119E-3,28.821446394172639,7.1605327583196763,0.10616207017398746,0.57776134298508675,0.52480701324679824,0.12341340657726042]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Central African Republic"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Central African Republic","Weighted average",13.0686391719969,0.38121575918835621,17.019901474570059,8.2791896700354677,1.1472116186819743,6.2434212559298787,5.671184653575394,1.3336335067177951]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Chile"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Chile","Weighted average",426.83403322199206,137.23170322344015,528.77721097506083,570.64343070422387,38.05681049169938,207.11496962500607,188.1319855115444,44.241042196600532]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Cuba","Weighted average",305.37416801865646,109.76262333754748,433.69944500515953,88.907662083123583,9.488575008443723,51.639270324218352,46.906307516314016,11.030468447315828]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Dominican Republic"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Dominican Republic","Weighted average",417.06320770091622,120.13716940518445,706.56559110885632,472.25980897477746,65.728675863990091,357.71239179466733,324.92650160565273,76.409585691888481]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"El Salvador"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"El Salvador","Weighted average",407.43079587633258,375.11056221722293,577.41362218487109,469.23344975532262,37.911461274482697,206.32394172960696,187.41345874920606,44.072073731586137]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Fiji"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Fiji","Weighted average","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Grenada"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Grenada","Weighted average",414.82227058028326,603.28754176844905,710.30075726404914,618.57164412018813,69.386292257677979,377.6180827469824,343.00774975791614,80.661564749550649]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Guinea-Bissau"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Guinea-Bissau","Weighted average",22.399302862264758,1.3457020776889101,36.741120466955792,11.297708604280823,2.4463991499866751,13.313934591303827,12.093654814849302,2.8439390118595096]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"India"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"South Asia"},"India","Weighted average",541.92058559410214,287.8713600001841,767.68229118855822,404.51780195380798,62.624750787998984,340.82003167498766,309.58239946255162,72.801272791048817]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Italy"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Italy","Weighted average",161.05036832149466,903.18901487102016,284.55144934175706,505.0841192368639,98.576018242873175,536.47609351235064,487.3057357210451,114.59462120734007]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Lao People's Democratic Republic"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Laos","Weighted average",5.0723456399169518,1.7758355160411043,7.2463885248602216,31.532176132187217,1.6537700628465162,9.0002428450463068,8.1753316024927241,1.9225076980590752]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Lithuania"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Lithuania","Weighted average",169.9135713377116,142.61164823837851,212.65002172836282,132.96351483083865,31.600174137505761,171.97629076304008,156.21391877535785,36.73520243485045]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Marshall Islands"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Marshall Islands","Weighted average","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Mexico"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Mexico","Weighted average",371.43526764557078,617.74730949136438,524.17877707364175,476.87271406336691,117.13431378913752,637.47512019628095,579.04776411804585,136.16863977987236]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Nauru","Weighted average",317.80398920344243,0,602.77973949873297,284.09559725390494,0,0,0,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Nepal"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"South Asia"},"Nepal","Weighted average",98.670776827019367,154.12273904349956,139.38775517309747,91.220507514927576,23.172469524744834,126.11055050976226,114.55197229013324,26.93799582251587]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Peru"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Peru","Weighted average",238.39917052606478,9.9456257761502833,374.85610467415927,498.81153267369336,25.309625259102727,137.74150274371226,125.11689737075258,29.422439363706918]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Portugal"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Portugal","Weighted average",346.32664304797976,1215.9944003376118,469.89095232103836,478.29675362497431,93.312171432266993,507.82888271870894,461.28416588602312,108.47539929001039]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Slovakia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Slovakia","Weighted average",370.43493094585119,520.92612782478966,486.01574964323106,460.06722365965737,92.261584740887301,502.11131921661251,456.09064184531627,107.2540922612815]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Somalia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Somalia","Weighted average",236.55389411700099,127.34922429943416,501.05641866730275,137.30710590000578,64.653120694128447,351.85894339849921,319.60954711002017,75.159252806924329]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sudan"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Sudan","Weighted average",52.644715378213363,13.997144837734165,60.04079328314306,0,3.0956021970847352,16.847064867933376,15.302958397380003,3.5986375541110047]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sweden"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Sweden","Weighted average",302.79390950865775,917.3845090028293,410.13558615677107,578.43209868052406,81.707414811810338,444.67280673920186,403.91661783937474,94.984869718729513]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Switzerland"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Switzerland","Weighted average",222.94013107385598,565.25575800092599,245.80777021306548,483.04809441647194,39.071370231363758,212.63646517201659,193.14741207454463,45.420467893960371]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Middle East & North Africa"},"Syrian Arab Republic","Weighted average",1553.8490365288326,2065.073589189727,1593.2943862631525,0,554.80821045277548,3019.4092508276158,2742.6673139976688,644.9645446513515]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Tajikistan"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Tajikistan","Weighted average",1356.7647695310091,305.45673802967883,2834.5356480185628,240.85290981227769,299.69045696524614,1630.9926945874613,1481.5051492565626,348.3901562220986]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"United Republic of Tanzania"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Tanzania","Weighted average","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Thailand"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Thailand","Weighted average",211.67528578402582,104.24203870469512,294.0839911357038,230.02103278555759,83.690835397963951,455.46709268033226,413.72156071704808,97.290596150133084]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Togo"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Togo","Weighted average",70.228434007120555,9.7004127681564167,87.640758100423156,33.896667017047825,4.6486064107708565,25.298913995312642,22.980158941873615,5.4040049525211202]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Tonga"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Tonga","Weighted average",197.86967143369912,164.68150800242631,516.54586282844866,401.91626064680776,45.824730816597047,249.38999376271084,226.53232056687506,53.271249574294067]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Trinidad and Tobago"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Trinidad and Tobago","Weighted average",272.4271626326618,342.4585177500237,523.39529494977137,327.83479120837541,61.26448354734103,333.41710682157111,302.85798473875053,71.219962123783944]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Tunisia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Middle East & North Africa"},"Tunisia","Weighted average",228.02211726525746,2356.6211568842336,345.79247706150153,617.85605405529805,111.4758657711248,606.68038794642518,551.07550247056008,129.59069395893258]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Turkey"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Turkey","Weighted average",370.99143684424268,730.78720016135424,504.04727709678446,443.77158621992345,102.16833933981424,556.02643063370488,505.06419976021976,118.77069448253405]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Turkmenistan"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Turkmenistan","Weighted average",14.444907834449195,4.6070719312619071,19.845835729805167,3.645285236128887,1.688214941865122,9.1877007528295032,8.3456081810275613,1.9625498699182045]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Tuvalu"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Tuvalu","Weighted average",254.50999032378394,0,760.89279957355893,316.13118358238734,0,0,0,0]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Uganda"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Uganda","Weighted average",13.383245384428205,5.2365268776137226,31.068325874349974,9.0281469515338522,0.80532979890970924,4.3828122925770865,3.9811085612006827,0.93619589123253699]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Ukraine"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Ukraine","Weighted average",247.46454990769217,352.75572402469385,298.34552976106966,164.46743251549927,50.366637909930979,274.10822257698925,248.98501663987494,58.551216570294763]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Middle East & North Africa"},"United Arab Emirates","Weighted average",459.94529017082959,877.92200240423779,784.18659494159851,0,57.884066483417328,315.02000605383557,286.14705794598154,67.290227286972637]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"United Kingdom"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"United Kingdom","Weighted average",240.77135933777475,848.93044898235712,339.11982138188353,494.05992006885936,67.160167896252432,365.50294031804196,332.00301261101436,78.073695179393454]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"United States of America"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"North America"},"United States of America","Weighted average",229.54706420491257,733.07075817791645,302.59483698017141,555.27012349586857,88.773033448852175,483.12572411418734,438.8451587727771,103.19865138429066]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Uruguay"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Uruguay","Weighted average",95.617233551345564,3.3298752177372859,141.97623364299912,131.98967564530312,4.7421569115599969,25.808039927806981,23.442621277304987,5.5127574096884961]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Uzbekistan"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"Uzbekistan","Weighted average",28.238826006298115,4.1086476641711451,60.272317720977711,88.247130833462791,2.6386813990798061,14.360384140433489,13.044192729959297,3.0674671264302749]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Vanuatu"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Vanuatu","Weighted average",25.84864314585754,2.347981388225783,23.973773146932363,5.8823957960113198,18.251122357006018,99.327311031964911,90.223532725807161,21.216929740019495]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Venezuela (Bolivarian Republic of)"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Latin America & Caribbean"},"Venezuela","Weighted average","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Viet Nam"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"East Asia & Pacific"},"Vietnam","Weighted average","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":""},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Europe & Central Asia"},"","Weighted average","","","","","","","",""]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Yemen"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Middle East & North Africa"},"Yemen","Weighted average",99.827148619885662,45.308081240420591,220.52089289546149,0,24.454686818469792,133.08870743913565,120.89055091007116,28.428573426471132]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Zambia"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Zambia","Weighted average",66.991976900323863,1.459062958405051,132.941619279402,59.572441956870868,6.6743146509976166,36.323340247092183,32.994148773840202,7.7588907817847295]
[null,{"$f":"INDEX(CountryMapping[Tool country list],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Zimbabwe"},{"$f":"INDEX(CountryMapping[Region],MATCH(WFCountryGreyAP[[#This Row],[WFN country name]],CountryMapping[Water Footprint Network],0))","v":"Sub-Saharan Africa"},"Zimbabwe","Weighted average",335.84408829045896,120.07220561768364,398.02241017899786,126.83857160302099,42.064086199139993,228.92359666711229,207.94175741813692,48.899500206500242]

{"sheet":"WWF-Biodiversity Risks>>","index":86,"n_rows":0,"n_cols":0,"rows_kept":0,"cut":false,"hidden":true,"merged":[]}

{"sheet":"WWF-BioDiv-CountryRisk","index":87,"n_rows":262,"n_cols":54,"rows_kept":262,"cut":false,"hidden":true,"merged":[[9,0,9,1]]}
["WWF Biodiversity Country Risk"]
["Source:","WWF Biodiversity Risk Filter - Country Profiles",null,null,null,null,null,"Max","Min","Risk level"]
["Accessed:","2025-01-01",null,null,null,null,null,5,{"$f":"H4","v":4.2},"Very High risk"]
[null,null,null,null,null,null,null,4.2,3.4,"High risk"]
[null,null,null,null,null,null,null,3.4,2.6,"Medium risk"]
[null,null,null,null,null,null,null,2.6,{"$f":"H7","v":1.8},"Low risk"]
[null,null,null,null,null,null,null,1.8,1,"Very low risk"]
[]
[]
["Country Risk 2024",null,"Scape Physical Risk","1. Provisioning Services","1.1 Water Availability","1.2 Forest Productivity and Distance to Markets","1.3 Limited Wild Flora & Fauna Availability","1.4 Limited Marine Fish Availability","2. Regulating & Supporting Services - Enabling","2.1 Soil Condition","2.2 Water Condition","2.3 Air Condition","2.4 Ecosystem Condition","2.5 Pollination","3. Regulating Services - Mitigating ","3.1 Landslides","3.2 Wildfire Hazard ","3.3 Plant/Forest/Aquatic Pests and Diseases","3.4 Herbicide Resistance","3.5 Extreme Heat","3.6 Tropical Cyclones","4. Cultural Services","4.1 Natural & Cultural Resources","5. Pressures on Biodiversity","5.1 Land, Freshwater and Sea Use Change","5.2 Forest Canopy Loss","5.3 Invasives","5.4 Pollution","Scape Reputational Risk","6. Environmental Factors","6.1 Protected/Conserved Areas","6.2 Key Biodiversity Areas","6.3 Other Important Delineated Areas","6.4 Ecosystem Condition","6.5 Range Rarity","7. Socioeconomic Factors","7.1 Indigenous Peoples (IPs); Local Communities (LCs) Lands and Territories","7.2 Resource Scarcity: Food - Water - Air","7.3 Labor/Human Rights","7.4 Financial Inequality","8. Additional Reputational Factors","8.1 Media Scrutiny ","8.2 Political Situation","8.3 Sites of International Interest","8.4 Risk Preparation"]
["ISO3Code","Country","SPH","SRC1","S1_1","S1_2","S1_3","S1_4","SRC2","S2_1","S2_2","S2_3","S2_4","S2_5","SRC3","S3_1","S3_2","S3_3","S3_4","S3_5","S3_6","SRC4","S4_1","SRC5","S5_1","S5_2","S5_3","S5_4","SRP","SRC6","S6_1","S6_2","S6_3","S6_4","S6_5","SRC7","S7_1","S7_2","S7_3","S7_4","SRC8","S8_1","S8_2","S8_3","S8_4","IFC Country",{"$f":"_xlfn.CONCAT(D11,\" Risk Level\")","v":"SRC1 Risk Level"},{"$f":"_xlfn.CONCAT(I11,\" Risk Level\")","v":"SRC2 Risk Level"},{"$f":"_xlfn.CONCAT(O11,\" Risk Level\")","v":"SRC3 Risk Level"},{"$f":"_xlfn.CONCAT(V11,\" Risk Level\")","v":"SRC4 Risk Level"},{"$f":"_xlfn.CONCAT(X11,\" Risk Level\")","v":"SRC5 Risk Level"},{"$f":"_xlfn.CONCAT(AD11,\" Risk Level\")","v":"SRC6 Risk Level"},{"$f":"_xlfn.CONCAT(AJ11,\" Risk Level\")","v":"SRC7 Risk Level"},{"$f":"_xlfn.CONCAT(AO11,\" Risk Level\")","v":"SRC8 Risk Level"}]
["AGO","Angola",3.36,3.64,1.75,3.99,3.25,"NA",3.13,4.25,2.0499999999999998,2.97,2.2200000000000002,1.24,2.78,1.74,4.76,3,1,2.0699999999999998,1.3,4.96,5,2.3199999999999998,1.51,2.57,1,2.2999999999999998,3.79,3.09,1.66,1.9,2.21,3.78,2.5,4.97,3,4.9800000000000004,4,5,3.31,3,4,1.06,3,"Angola",{"$f":"IF(D12=\"NA\",\"Data not available\",IF(D12>$I$3,$J$3,IF(D12>$I$4,$J$4,IF(D12>$I$5,$J$5,IF(D12>$I$6,$J$6,$J$7)))))","v":"High risk"},{"$f":"IF(I12=\"NA\",\"Data not available\",IF(I12>$I$3,$J$3,IF(I12>$I$4,$J$4,IF(I12>$I$5,$J$5,IF(I12>$I$6,$J$6,$J$7)))))","v":"Medium risk"},{"$f":"IF(O12=\"NA\",\"Data not available\",IF(O12>$I$3,$J$3,IF(O12>$I$4,$J$4,IF(O12>$I$5,$J$5,IF(O12>$I$6,$J$6,$J$7)))))","v":"Medium risk"},{"$f":"IF(V12=\"NA\",\"Data not available\",IF(V12>$I$3,$J$3,IF(V12>$I$4,$J$4,IF(V12>$I$5,$J$5,IF(V12>$I$6,$J$6,$J$7)))))","v":"Very High risk"},{"$f":"IF(X12=\"NA\",\"Data not available\",IF(X12>$I$3,$J$3,IF(X12>$I$4,$J$4,IF(X12>$I$5,$J$5,IF(X12>$I$6,$J$6,$J$7)))))","v":"Low risk"},{"$f":"IF(AD12=\"NA\",\"Data not available\",IF(AD12>$I$3,$J$3,IF(AD12>$I$4,$J$4,IF(AD12>$I$5,$J$5,IF(AD12>$I$6,$J$6,$J$7)))))","v":"Medium risk"},{"$f":"IF(AJ12=\"NA\",\"Data not available\",IF(AJ12>$I$3,$J$3,IF(AJ12>$I$4,$J$4,IF(AJ12>$I$5,$J$5,IF(AJ12>$I$6,$J$6,$J$7)))))","v":"Very High risk"},{"$f":"IF(AO12=\"NA\",\"Data not available\",IF(AO12>$I$3,$J$3,IF(AO12>$I$4,$J$4,IF(AO12>$I$5,$J$5,IF(AO12>$I$6,$J$6,$J$7)))))","v":"Medium risk"}]
["ATG","Antigua and Barbuda",3,4,2,3,5,"NA",2,1,2,1,3.25,1,3.75,4,3,1,1,2,5,3,3,2.25,2.5,2,2,2.17,3.5,4,3,4,1,2.75,5,3,3,2,3,3,3.5,1,3,5,3,"Antigua and Barbuda",{"$f":"IF(D13=\"NA\",\"Data not available\",IF(D13>$I$3,$J$3,IF(D13>$I$4,$J$4,IF(D13>$I$5,$J$5,IF(D13>$I$6,$J$6,$J$7)))))","v":"High risk"},{"$f":"IF(I13=\"NA\",\"Data not available\",IF(I13>$I$3,$J$3,IF(I13>$I$4,$J$4,IF(I13>$I$5,$J$5,IF(I13>$I$6,$J$6,$J$7)))))","v":"Low risk"},{"$f":"IF(O13=\"NA\",\"Data not available\",IF(O13>$I$3,$J$3,IF(O13>$I$4,$J$4,IF(O13>$I$5,$J$5,IF(O13>$I$6,$J$6,$J$7)))))","v":"High risk"},{"$f":"IF(V13=\"NA\",\"Data not available\",IF(V13>$I$3,$J$3,IF(V13>$I$4,$J$4,IF(V13>$I$5,$J$5,IF(V13>$I$6,$J$6,$J$7)))))","v":"Medium risk"},{"$f":"IF(X13=\"NA\",\"Data not available\",IF(X13>$I$3,$J$3,IF(X13>$I$4,$J$4,IF(X13>$I$5,$J$5,IF(X13>$I$6,$J$6,$J$7)))))","v":"Low risk"},{"$f":"IF(AD13=\"NA\",\"Data not available\",IF(AD13>$I$3,$J$3,IF(AD13>$I$4,$J$4,IF(AD13>$I$5,$J$5,IF(AD13>$I$6,$J$6,$J$7)))))","v":"High risk"},{"$f":"IF(AJ13=\"NA\",\"Data not available\",IF(AJ13>$I$3,$J$3,IF(AJ13>$I$4,$J$4,IF(AJ13>$I$5,$J$5,IF(AJ13>$I$6,$J$6,$J$7)))))","v":"Medium risk"},{"$f":"IF(AO13=\"NA\",\"Data not available\",IF(AO13>$I$3,$J$3,IF(AO13>$I$4,$J$4,IF(AO13>$I$5,$J$5,IF(AO13>$I$6,$J$6,$J$7)))))","v":"High risk"}]
["ARG","Argentina",3.29,3.48,2.2999999999999998,3.2,3.61,"NA",3.1,3.54,2.11,1.55,2.9,2.39,2.99,1.85,3.19,1,3,2.73,1,4.01,4,2.89,2.21,1.66,3,2.58,3.34,3.05,1.96,2.52,1.97,3.1,2.71,3.28,3,3.04,2,4,3.7,5,3,1.54,2,"Argentina","High risk","Medium risk","Medium risk","High risk","Medium risk","Medium risk","Medium risk","High risk"]
["AUS","Australia",2.93,3.82,2.7,4.22,3.22,"NA",2.8,4.5199999999999996,2.0099999999999998,1.26,2.77,1.36,4.2699999999999996,1.54,3.5,2,5,4.1100000000000003,3.11,1,1,2.77,1.4,1.45,5,1.55,2.73,3.14,2.62,1.9,2.81,3.23,2.1,2.76,3,2.76,1,2,2.2999999999999998,5,1,1.4,1,"Australia","High risk","Medium risk","Very High risk","Very low risk","Medium risk","Medium risk","Medium risk","Low risk"]
["AUT","Austria",3.13,2.71,1.82,2.29,3,"NA",2.99,1.62,2.6,2.4,3.18,3.3,2.09,3.82,1.84,1,2,1.54,1,4.7699999999999996,5,3.08,2.61,3.29,2,2.96,3.19,3.07,3.45,2.34,2.66,2.82,1.65,2.58,3,2.44,1,1,3.93,4,2,4.33,1,"Austria","Medium risk","Medium risk","Low risk","Very High risk","Medium risk","Medium risk","Low risk","High risk"]
["BHS","Bahamas",3.21,4.0599999999999996,2.48,3.66,4.46,"NA",2.63,5,1.94,1,2.63,1,3.47,1,3.42,1,1,2.94,5,3,3,2.9,1,2.3199999999999998,3,2.83,3.08,3.85,2.74,3.9,1,3.37,4.87,3,3,2.48,3,3,2.41,2,2,1.51,3,"Bahamas","High risk","Medium risk","High risk","Medium risk","Medium risk","High risk","Medium risk","Low risk"]
["BGD","Bangladesh",3.94,3.71,2.67,1.9,4.5999999999999996,"NA",4.5,2.54,4.17,4.78,2.8,4.1500000000000004,3.7,2.36,2.91,3,1,4.78,3.55,4.59,5,3.19,1.98,1.77,2,4.3899999999999997,3.76,3.09,1.74,2.63,2.2799999999999998,3.2,2.71,4.1900000000000004,3,4.78,4,2,3.98,4,4,1.46,1,"Bangladesh","High risk","Very High risk","High risk","Very High risk","Medium risk","Medium risk","High risk","High risk"]
["BRB","Barbados",2.96,4,3,3,5,"NA",2,1,2,1,2.75,1,2.75,2,3,1,1,2,5,3,3,3.04,2,3,2,3.17,3.33,4,4,4,1,3.25,5,3,3,3,1,3,2.99,3,2,5,1,"Barbados","High risk","Low risk","Medium risk","Medium risk","Medium risk","High risk","Medium risk","Medium risk"]
["BEL","Belgium",3.26,3.15,2.15,2.97,3.26,"NA",3.48,2.15,2.2400000000000002,2.5499999999999998,3.75,4.3899999999999997,2.42,1.92,2.4,2,3,1.91,1,3.67,4,3.56,3.47,2.37,2,3.57,3.25,2.5499999999999998,3.29,2.4500000000000002,1,2.25,1.21,2.72,3,2.63,1,1,4.47,5,2,3.95,3,"Belgium","Medium risk","High risk","Low risk","High risk","High risk","Low risk","Medium risk","Very High risk"]
["BLZ","Belize",3.31,3.22,1.32,1.1299999999999999,5,"NA",2.3199999999999998,1.06,2.2799999999999998,2.0499999999999998,1.88,2.96,4.1900000000000004,2.0099999999999998,4.54,1,1,4,4.26,3.09,3,3.75,1.38,4.24,1,3.6,3.95,4.82,3.84,4.82,3.9,4.12,4.79,3.53,3,2.15,3,5,3.5,1,3,3.96,3,"Belize","Medium risk","Low risk","High risk","Medium risk","High risk","Very High risk","High risk","High risk"]
["BEN","Benin",3.94,3.17,1.69,2.94,3.41,"NA",4.47,4.45,2.52,5,2.33,2.96,3.75,1.77,4.66,2,1,4.45,1,4.9400000000000004,5,3.36,2.89,3.22,2,3.4,3.36,3.22,3.04,2.59,1.21,3.67,2.2599999999999998,3.55,3,5,3,3,3.32,1,3,2.98,3,"Benin","Medium risk","Very High risk","High risk","Very High risk","Medium risk","Medium risk","High risk","Medium risk"]
["BTN","Bhutan",3.04,3.69,1.75,2.93,4.38,"NA",3.51,2.09,3.14,3.82,2.1,3.06,2.98,4.22,3.03,2,1,1.48,2,2.81,3,2.19,1.61,1.51,1,3.13,3.38,4.7,4.0999999999999996,4,4.53,3.9,4.75,3.45,3,3.82,3,3,1.98,1,1,1.59,2,"Bhutan","High risk","High risk","Medium risk","Medium risk","Low risk","Very High risk","High risk","Low risk"]
["BOL","Bolivia",3.18,3.31,1.73,2.8,3.73,"NA",3.03,3.27,2.96,2.78,2.06,1.98,3,2.46,4,1,2,2.71,1,3.95,4,2.62,1.6,2.89,2,2.31,3.83,4.08,2.5,3.1,4.05,3.94,3.54,3.28,3,2.81,3,4,4.13,4,4,2.77,3,"Bolivia (Plurinational State of)","Medium risk","Medium risk","Medium risk","High risk","Medium risk","High risk","Medium risk","High risk"]
["BIH","Bosnia and Herzegovina",3.32,2.81,1.62,1.44,3.85,"NA",3.15,2.19,2.4500000000000002,3,3,3.19,3.22,3.83,3.75,2,1,2.06,1,4.92,5,2.5099999999999998,2.23,1.33,1,3.34,3.19,2.92,2.6,2.1,2.73,3,1.62,3,3,3,3,2,3.63,3,4,3.05,3,"Bosnia and Herzegovina","Medium risk","Medium risk","Medium risk","Very High risk","Low risk","Medium risk","Medium risk","High risk"]
["BWA","Botswana",3.2,3.68,3.11,3.97,3.08,"NA",2.65,5,1.86,2,2.5099999999999998,1.1000000000000001,2.8,1.22,3.92,3,1,2.29,2,4.9400000000000004,5,1.94,1.42,1,2,1.85,3.54,3.26,2.86,2.96,1.35,3.49,2.0699999999999998,4.24,3,3.99,2,5,3.11,3,2,1.84,3,"Botswana","High risk","Medium risk","Medium risk","Very High risk","Low risk","Medium risk","Very High risk","Medium risk"]
["BRA","Brazil",3.13,3.38,1.96,2.66,3.74,"NA",3.3,3.88,2.5,2.2599999999999998,2.4,2.25,3.71,1.96,3.75,2,5,2.98,1.1200000000000001,2.02,2,3.25,2.0699999999999998,3.18,3,2.96,4.01,3.74,2.6,2.2400000000000002,3.67,3.6,2.85,3.99,3,3.04,4,4,4.3099999999999996,5,4,1.36,2,"Brazil","Medium risk","Medium risk","High risk","Low risk","Medium risk","High risk","High risk","Very High risk"]
["BGR","Bulgaria",3.57,3.02,1.83,2.2599999999999998,3.53,"NA",3.65,3.93,2.62,3,3.59,3.52,2.91,2.66,3.44,3,2,2.1800000000000002,1,4.9800000000000004,5,3.3,3.31,1.88,2,3.39,3.07,3.25,3.73,3.43,3,2.41,1.83,3.01,3,3.01,1,3,2.95,2,3,3.18,1,"Bulgaria","Medium risk","High risk","Medium risk","Very High risk","Medium risk","Medium risk","Medium risk","Medium risk"]
["BFA","Burkina Faso",3.45,3.11,2.17,3.21,3.01,"NA",4.34,4.9800000000000004,2.42,4.32,3.21,2.96,3.62,1.75,3.76,3,1,4.92,1,3.14,3,3.06,3.16,1.33,2,3.17,3.06,2.5499999999999998,2.66,1.71,1.02,2.79,2,4.03,3,4.32,3,4,2.59,1,3,2.97,1,"Burkina Faso","Medium risk","Very High risk","High risk","Medium risk","Medium risk","Low risk","High risk","Low risk"]
["BDI","Burundi",3.16,3.29,1.1599999999999999,2.11,4.46,"NA",3.25,2.21,2.81,3.19,2.3199999999999998,3.77,3.14,3,3.64,3,1,1.24,2,3.24,3,2.9,2.63,2.5,2,3.06,3.75,3.81,2.2599999999999998,2.97,3,3.68,4.3,3.71,3,3.44,5,3,3.73,1,5,3.08,2,"Burundi","Medium risk","Medium risk","Medium risk","Medium risk","Medium risk","High risk","High risk","High risk"]
["CPV","Cabo Verde","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","Cabo Verde","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["KHM","Cambodia",3.92,3.63,2.13,2.31,4.62,"NA",3.45,3.68,3.26,3.07,2.77,2.63,4.09,2.16,4.7,4,1,3.78,3.61,4.91,5,3.52,3.07,4.1100000000000003,2,2.93,4.1399999999999997,4.2,3.98,3.86,3.2,3.23,3.9,4.21,3,3.97,5,3,4.0199999999999996,4,4,1.95,4,"Cambodia","High risk","High risk","High risk","Very High risk","High risk","High risk","Very High risk","High risk"]
["CMR","Cameroon",3.51,3.14,1.5,1.98,4.07,"NA",3.3,2.82,1.93,4.24,2.34,2.4300000000000002,3.13,2.2200000000000002,4.25,3,1,2.95,1,4.97,5,3.03,1.83,2.71,2,3.21,3.94,3.73,2.4700000000000002,2.5299999999999998,3.41,3.66,3.54,4.08,3,4.25,4,4,4.0199999999999996,4,4,1.79,1,"Cameroon","Medium risk","Medium risk","Medium risk","Very High risk","Medium risk","High risk","High risk","High risk"]
["CAN","Canada",2.63,3.78,1.41,4.54,3.02,"NA",1.82,2.0499999999999998,1.47,1.0900000000000001,2.2999999999999998,1.24,2.5,2,2.16,1,5,1.3,1.49,2,2,3.03,1.51,2.36,4,1.57,2.6,3.27,2.37,1.38,3.3,3.7,1.07,2.2799999999999998,3,2.04,1,2,2.2400000000000002,5,1,1.32,1,"Canada","High risk","Low risk","Low risk","Low risk","Medium risk","Medium risk","Low risk","Low risk"]
["CAF","Central African Republic",3.03,3.25,1.61,3.38,3,"NA",3.7,3.72,1.84,4,1.87,1.22,3.15,1.66,4.97,2,1,3.52,1,3.03,3,2.04,1.1000000000000001,1.94,1,2.56,3.93,3.44,2.2200000000000002,2.04,3.05,4.13,2.23,4.97,3,4.9800000000000004,4,5,3.38,3,4,1.34,3,"Central African Republic","Medium risk","High risk","Medium risk","Medium risk","Low risk","High risk","Very High risk","Medium risk"]
["TCD","Chad",3.61,3.82,2.79,4.41,3,"NA",4.45,4.99,2.04,4.45,2.16,2.27,3.08,1.58,2.38,3,1,4.26,1,4.9000000000000004,5,1.79,1.52,1.23,1,2.5099999999999998,3.48,2.38,1.91,1.92,1.45,3.84,1.32,4.5599999999999996,3,4.46,5,3,3.5,2,4,2.0099999999999998,3,"Chad","High risk","Very High risk","Medium risk","Very High risk","Very low risk","Low risk","Very High risk","High risk"]
["CHL","Chile",3.38,4.13,2.78,3.74,4.0999999999999996,"NA",2.29,2.48,1.91,1.66,2.2000000000000002,1.71,2.62,3.56,2.15,3,3,1.0900000000000001,1,4.96,5,2.89,1.6,1.67,3,2.81,3.49,3.86,2.85,2.58,3.71,3.8,3.21,3.46,3,2.9,1,4,3.16,5,2,1.69,1,"Chile","High risk","Low risk","Medium risk","Very High risk","Medium risk","High risk","High risk","Medium risk"]
["CHN","China",3.14,3.72,2.2999999999999998,3.7,3.58,"NA",3.66,3.58,2.3199999999999998,3.36,3.32,2.89,4.09,2.86,2.48,5,4,2.2400000000000002,2.5299999999999998,1.05,1,3.2,2.42,1.53,3,3.37,3.45,2.62,1.26,2.41,2.37,2.68,1.96,4.0599999999999996,3,3.5,5,3,3.67,5,3,1.46,1,"China","High risk","High risk","High risk","Very low risk","Medium risk","Medium risk","High risk","High risk"]
["COL","Colombia",3.17,3.69,1.74,3.33,3.93,"NA",3.41,3.3,3.06,3.43,2.33,2,3.06,2.94,3.2,3,2,2.6,2.0299999999999998,3.01,3,2.68,1.57,2.62,2,2.65,3.93,4.17,2.89,2.54,4.04,3.67,3.81,3.84,3,3.44,3,5,3.8,5,3,1.72,1,"Colombia","High risk","High risk","Medium risk","Medium risk","Medium risk","High risk","High risk","High risk"]
["COM","Comoros",2.95,4,1.8,5,3,"NA",1.5,1,1.5,1,2.25,1,3.75,4,3,2,1,2,4,3,3,2.5,1,3,1,2.33,4.33,4,3,4,1,3.75,5,4,3,1.8,4,4,5,1,4,5,5,"Comoros","High risk","Very low risk","High risk","Medium risk","Low risk","High risk","High risk","Very High risk"]
["COG","Congo",3,3.49,1.39,3.92,3.04,"NA",3.2,2.66,2.27,3.94,1.69,1.71,2.85,1.78,3.69,3,1,2.7,1,3.01,3,2.46,1.04,2.41,2,2.54,4.33,4.09,2.72,2.75,4.2,4.3099999999999996,2.81,4.91,3,4.97,5,4,3.98,2,4,3.69,3,"Congo","High risk","Medium risk","Medium risk","Medium risk","Low risk","High risk","Very High risk","High risk"]
["CRI","Costa Rica",3.37,3.39,1.71,1.51,4.83,"NA",2.95,1.88,2.58,1.68,2.5099999999999998,3.56,3.1,4.7300000000000004,3.35,2,2,2.08,2.44,4.07,4,3.35,1.81,3.66,3,3.31,3.79,4.6399999999999997,3.97,4.4400000000000004,3.51,3.49,5,3.27,3,2.0499999999999998,1,4,3.47,3,3,4.34,1,"Costa Rica","Medium risk","Medium risk","Medium risk","High risk","Medium risk","Very High risk","Medium risk","High risk"]
["CIV","Côte d'Ivoire",3.79,3.08,1.62,1.89,4.07,"NA",3.97,4.12,2,4.05,3.02,2.92,3.52,1.95,4.22,3,1,3.73,1,4.9400000000000004,5,3.42,2.41,4.13,2,3.01,3.62,3.23,3.05,2.1800000000000002,2.36,2.98,3.07,3.32,3,4.07,3,3,4.32,4,3,2.02,5,"Cote d'Ivoire","Medium risk","High risk","High risk","Very High risk","High risk","Medium risk","Medium risk","Very High risk"]
["HRV","Croatia",3.23,3.05,1.36,1.9,4.03,"NA",3.27,1.58,2.39,2.97,3.09,3.75,2.73,3.04,3.48,2,1,2.16,1,4.1900000000000004,4,2.9,2.4300000000000002,2.33,2,3.46,3.03,3.07,3.09,3.31,2.1,2.91,1.67,2.98,3,2.97,2,1,3.05,1,3,3.45,2,"Croatia","Medium risk","Medium risk","Medium risk","High risk","Medium risk","Medium risk","Medium risk","Medium risk"]
["CYP","Cyprus",3.62,3.87,2.85,2.72,4.75,"NA",3.34,4.09,1.5,3,3.25,3.17,3.02,3.11,3.38,1,2,2.85,1,5,5,2.87,2.5099999999999998,1.31,2,3.83,3.26,3.53,3.39,3.83,3,2.75,3,3.01,3,3.02,2,2,3.26,2,3,3.04,3,"Cyprus","High risk","Medium risk","Medium risk","Very High risk","Medium risk","High risk","Medium risk","Medium risk"]
["CZE","Czech Republic",3.29,2.87,2.04,2.72,3,"NA",3.21,2.4700000000000002,2.36,2.79,3.33,3.91,2.2000000000000002,2.0499999999999998,2.2599999999999998,2,3,1.98,1,4.9000000000000004,5,3.28,2.68,3.72,2,3.08,2.99,2.82,3.12,2.06,1.34,2.67,1.01,2.86,3,2.81,1,1,3.29,3,2,4.13,1,"Czech Republic","Medium risk","Medium risk","Low risk","Very High risk","Medium risk","Medium risk","Medium risk","Medium risk"]
["COD","Congo DRC",3.01,2.82,1.33,2.23,3.3,"NA",3.4,3.33,2.21,3.86,1.7,1.63,2.94,1.89,4.51,3,1,2.5499999999999998,1.18,3.03,3,2.86,1.28,3.51,1,2.68,4.38,3.95,1.98,1.83,4.0199999999999996,4.3,2.8,4.26,3,4.99,4,4,4.9400000000000004,4,5,1.6,5,"Democratic Republic of the Congo","Medium risk","Medium risk","Medium risk","Medium risk","Medium risk","High risk","Very High risk","Very High risk"]
["DNK","Denmark",3.14,3.46,1.21,2.97,3.95,"NA",2.77,1.27,1.24,2.3199999999999998,2.76,4.7300000000000004,2,1.59,2.39,2,2,1,1,4.96,5,2.52,2.16,2.41,2,2.69,3.23,3.33,3.96,3,1,3.24,2,2.4900000000000002,3,2.3199999999999998,1,1,3.89,4,1,4.4000000000000004,1,"Denmark","High risk","Medium risk","Low risk","Very High risk","Low risk","Medium risk","Low risk","High risk"]
["DMA","Dominica",3.02,3.5,2,1,5,"NA",2,1,2,1,3.5,1,3.75,4,3,1,1,2,5,3,3,2.88,2.5,4,2,1.83,3.5,4,4,4,1,2.5,5,3,3,2,3,3,3.5,3,2,5,3,"Dominica","High risk","Low risk","High risk","Medium risk","Medium risk","High risk","Medium risk","High risk"]
["DOM","Dominican Republic",3.93,3.93,2.87,1,5,"NA",3.42,2.42,2.72,2,3.26,3.82,3.89,4,3.56,1,1,2.57,5,4.74,5,3.67,2.7,3.93,3,3.61,3.84,4.26,4.03,3.84,3.63,2.74,5,3.03,3,2.87,1,3,4.22,4,3,5,2,"Dominican Republic","High risk","High risk","High risk","Very High risk","High risk","Very High risk","Medium risk","Very High risk"]
["ECU","Ecuador",3.31,3.67,1.74,2.4700000000000002,4.76,"NA",3.04,2.38,2.74,2.77,2.3199999999999998,2.52,2.58,3.78,2.78,2,2,1.98,1.9,3.89,4,3.38,1.57,2.91,3,3.65,4.01,4.45,2.79,4.0199999999999996,4.0199999999999996,3.68,4.99,3.39,3,3.18,1,4,4.21,4,4,3.37,1,"Ecuador","High risk","Medium risk","Low risk","High risk","Medium risk","Very High risk","Medium risk","Very High risk"]
["EGY","Egypt",3.61,4.28,3.74,4.6100000000000003,3.31,"NA",4.0999999999999996,5,1.52,4,2.4300000000000002,2.13,3.21,1.91,1.45,4,2,3.59,1,3.98,4,2.46,1.56,1,2,3.12,3.46,2.09,1.95,1.39,1.02,3.57,1.46,4.3,3,4.08,5,2,3.99,4,4,1.22,2,"Egypt","Very High risk","High risk","Medium risk","High risk","Low risk","Low risk","Very High risk","High risk"]
["SLV","El Salvador",3.8,3.69,2.39,1.03,4.9800000000000004,"NA",3.19,2.74,3.16,2.81,2.74,3.06,4.05,4.4800000000000004,4.33,1,2,2.78,4,5,5,3.07,1.88,3.13,2,3.26,3.97,3.95,3.02,3.74,2.93,3.26,4.92,3.97,3,4,4,3,3.99,3,4,3.69,3,"El Salvador","High risk","Medium risk","High risk","Very High risk","Medium risk","High risk","High risk","High risk"]
["GNQ","Equatorial Guinea",2.78,3.56,2.09,1.2,5,"NA",2.39,1.79,1.41,3.73,1.86,2.11,2.31,2.39,2.86,2,1,2.21,1,3.15,3,2.4900000000000002,1.03,3.09,1,2.2799999999999998,4.1399999999999997,4.47,3.78,2.66,4.16,4.1399999999999997,3.97,3.88,3,3.73,5,3,4.08,2,5,2.82,3,"Equatorial Guinea","High risk","Low risk","Low risk","Medium risk","Low risk","Very High risk","High risk","High risk"]
["ERI","Eritrea",3.24,3.9,2.75,3.9,3.81,"NA",3.96,4.99,2.0099999999999998,3.95,2.4700000000000002,1.74,3.47,2.4900000000000002,2.09,4,1,3.89,1.31,3,3,1.86,1.54,1,1,2.85,3.56,3.21,2.41,2.91,2.14,3.53,2.2000000000000002,4.2,3,3.95,5,3,3.27,3,4,1.1599999999999999,3,"Eritrea","High risk","High risk","High risk","Medium risk","Low risk","Medium risk","High risk","Medium risk"]
["EST","Estonia",2.88,2.57,1.86,1.93,3,"NA",2.14,1.62,1.4,2,2.1,2.76,1.9,1.1100000000000001,2.16,2,1,1.36,1,4.8899999999999997,5,2.91,2.37,3.98,2,2.2400000000000002,3.19,3.85,3.97,3.16,1,3.9,1,2.38,3,2.0699999999999998,1,1,3.33,2,1,4.29,3,"Estonia","Low risk","Low risk","Low risk","Very High risk","Medium risk","High risk","Low risk","Medium risk"]
["SWZ","Eswatini",3.2,3.27,1.85,1.45,4.63,"NA",3.01,2.0499999999999998,2.59,2,3.82,2.97,3.41,2,4.83,2,1,3.22,2,3,3,3.32,3.13,3.33,1,2.6,3.97,3.8,3.05,3.97,2.82,2.1800000000000002,3.67,4.68,3,4.01,5,5,3.44,1,4,2.87,2,"Eswatini","Medium risk","Medium risk","High risk","Medium risk","Medium risk","High risk","Very High risk","High risk"]
["ETH","Ethiopia",3.06,3.63,1.95,3.69,3.54,"NA",3.15,3.6,2.2799999999999998,3.08,2.4900000000000002,1.94,3.07,2.41,2.93,4,2,2.1,1.8,3.01,3,2.4500000000000002,2.02,1.32,2,2.72,3.51,3.47,2.4900000000000002,2.74,3,3.51,3.08,4.01,3,4.0199999999999996,4,2,3.05,3,3,1.32,1,"Ethiopia","High risk","Medium risk","Medium risk","Medium risk","Low risk","High risk","High risk","Medium risk"]
["FJI","Fiji",3.11,3.25,1.1399999999999999,2.1800000000000002,4.32,"NA",2.1,1,2.25,1,2.25,1,3.99,4,3.87,1,2,2.4,4.66,3,3,3.23,1.3,2.93,4,2.7,3.47,4,2.0299999999999998,3.97,3,3.75,5,3,3,2,3,1,3.41,2,3,4.71,1,"Fiji","Medium risk","Low risk","High risk","Medium risk","Medium risk","High risk","Medium risk","High risk"]
["FIN","Finland",3.1,3.64,1.1100000000000001,4.2699999999999996,3,"NA",2.34,2.25,1.3,1.17,2.79,1.82,1.93,1.91,1.92,1,2,1,1,4.9000000000000004,5,2.67,1.97,3.72,2,1.76,2.75,2.86,2.95,1.99,1.72,3.21,1,2.27,3,1.98,1,1,3.11,4,1,3.04,1,"Finland","High risk","Low risk","Low risk","Very High risk","Medium risk","Medium risk","Low risk","Medium risk"]
["FRA","France",2.97,2.92,1.62,2.2200000000000002,3.54,"NA",3.31,2.64,2.2000000000000002,2.06,3.4,4.04,3.07,2.46,2.34,3,5,1.89,1,2.0299999999999998,2,3.49,2.96,2.29,4,2.84,2.99,2.69,2.97,1.97,1.53,2.6,1.6,2.33,3,2.11,1,2,3.93,5,2,3.12,1,"France","Medium risk","Medium risk","Medium risk","Low risk","High risk","Medium risk","Low risk","High risk"]
["GAB","Gabon",2.81,3.8,1.87,4.24,3.26,"NA",2.54,2.14,1.78,3.68,1.99,1.47,2.5099999999999998,1.95,2.57,3,1,2.4,1,3.02,3,2.17,1.07,2.0499999999999998,2,2.12,3.8,4.0199999999999996,2.56,2.27,4.4800000000000004,4.01,3.2,3.25,3,3.7,3,3,4.12,3,4,3.02,4,"Gabon","High risk","Low risk","Low risk","Medium risk","Low risk","High risk","Medium risk","High risk"]
["GMB","Gambia",3.74,3.47,2.3199999999999998,2.74,4.1900000000000004,"NA",3.98,4.08,2.81,4,2.09,3.03,4.3099999999999996,1,4.8,3,1,4.63,1,4.3,3,2.62,1.89,2.06,1,3.25,3.17,3.03,2.84,2.56,1,3.91,2.66,3.25,3,4,2,2,3.24,2,3,3.01,1,"Gambia","High risk","High risk","Very High risk","Very High risk","Medium risk","Medium risk","Medium risk","Medium risk"]
["DEU","Germany",2.77,2.98,1.72,2.89,3.06,"NA",3.13,2.23,2.37,2.42,3.44,3.23,2.46,2.1800000000000002,2.2999999999999998,2,4,1.89,1,2.14,2,3.15,2.96,2.72,3,3.07,3.11,2.97,3.47,2.73,1.1200000000000001,2.56,1.0900000000000001,2.59,3,2.4500000000000002,1,2,3.77,5,1,3.39,1,"Germany","Medium risk","Medium risk","Low risk","Low risk","Medium risk","Medium risk","Low risk","High risk"]
["GHA","Ghana",4.04,3.2,1.62,2.3199999999999998,3.92,"NA",4.1100000000000003,4.1900000000000004,2.73,4.78,3.08,2.98,4.29,1.82,4.72,4,1,4.37,1,4.9400000000000004,5,3.66,2.92,3.07,2,3.65,3.62,3.3,3.14,2.69,1.98,2.92,3.08,4.1900000000000004,3,4.78,2,4,3.39,4,3,1.63,2,"Ghana","Medium risk","High risk","Very High risk","Very High risk","High risk","Medium risk","High risk","Medium risk"]
["GRC","Greece",3.65,3.73,2.72,1.93,4.7,"NA",3.62,3.75,2.2200000000000002,3,3.27,3.72,3.21,3.99,3.3,2,3,2.11,1,4.99,5,2.71,2.0299999999999998,2.2000000000000002,2,2.99,3.18,3.34,3.9,3.13,3,2.73,2.31,3.02,3,3.05,2,2,3.2,2,3,4.0199999999999996,1,"Greece","High risk","High risk","Medium risk","Very High risk","Medium risk","Medium risk","Medium risk","Medium risk"]
["GRD","Grenada",2.96,4,3,3,5,"NA",2,1,2,1,2.75,1,2.75,2,3,1,1,2,5,3,3,3.04,2,3,2,3.17,3.33,4,4,4,1,3.25,5,3,3,3,3,3,2.99,3,3,5,2,"Grenada","High risk","Low risk","Medium risk","Medium risk","Medium risk","High risk","Medium risk","Medium risk"]
["GTM","Guatemala",3.78,3.28,1.52,1.66,4.58,"NA",3.07,1.49,2.88,2.94,2.13,3.46,4.1900000000000004,3.88,4.4800000000000004,3,2,2.94,4.13,4.62,5,3.77,1.6,4.08,2,3.87,4.1900000000000004,4.49,3.39,4.3,3.11,3.87,4.74,3.94,3,3.88,3,4,4.1500000000000004,4,4,3.09,3,"Guatemala","Medium risk","Medium risk","High risk","Very High risk","High risk","Very High risk","High risk","High risk"]
["GIN","Guinea",3.31,3.04,1.62,1.82,4.07,"NA",3.65,3.6,1.93,4,2.75,2.69,3.56,2.15,4.99,3,1,3.69,1,3.07,3,3.21,1.83,3.94,2,2.95,3.98,3.11,2.73,2.0299999999999998,2.4500000000000002,3.25,2.96,4.8,3,4.96,5,1,4.03,3,4,4.04,3,"Guinea","Medium risk","High risk","High risk","Medium risk","Medium risk","Medium risk","Very High risk","High risk"]
["GNB","Guinea-Bissau",3.49,3.55,1.93,1.97,4.83,"NA",3.82,3.83,1.86,4,2.14,3,3.82,1.22,4.92,3,1,4.08,1,3.08,3,3.2,1.1499999999999999,3.92,1,2.96,3.77,3.32,2.92,3.03,1.04,3.86,2.09,3.41,3,4.0999999999999996,3,2,4.57,1,4,3.62,5,"Guinea-Bissau","High risk","High risk","High risk","Medium risk","Medium risk","Medium risk","High risk","Very High risk"]
["GUY","Guyana",2.76,3.69,1.48,4.12,3.24,"NA",2.7,4.63,2.37,2.35,1.32,1.31,2.2799999999999998,1.87,2.5099999999999998,1,1,2.83,2,2.97,3,2.1800000000000002,1.04,1.73,2,2.3199999999999998,3.67,4.72,1.8,1.88,4.9000000000000004,4.68,3.68,3.24,3,2.35,2,4,3.06,2,3,1.1299999999999999,3,"Guyana","High risk","Medium risk","Low risk","Medium risk","Low risk","Very High risk","Medium risk","Medium risk"]
["HTI","Haiti",3.45,3.9,2.79,1.03,5,"NA",3.12,1.85,2.96,2,3.3,3.24,3.78,3.95,3.22,1,1,2.31,5,3.02,3,3.42,2.2400000000000002,3.46,2,3.64,3.67,3.77,2.9,3.77,3.02,2.7,4.97,3.11,3,2.79,4,3,4.1100000000000003,2,4,4.9000000000000004,4,"Haiti","High risk","Medium risk","High risk","Medium risk","High risk","High risk","Medium risk","High risk"]
["HND","Honduras",3.74,3.35,1.35,1.88,4.51,"NA",2.86,1.36,3.01,2.4700000000000002,2.31,2.88,4.22,3.85,4.67,3,2,2.38,4.37,5,5,3.27,1.53,3.9,2,3.13,4.09,4.21,3.64,3.47,3.42,3.69,4.8,4,3,3.91,3,4,4.07,4,4,2.95,3,"Honduras","Medium risk","Medium risk","Very High risk","Very High risk","Medium risk","Very High risk","High risk","High risk"]
["HUN","Hungary",3.52,3.05,1.23,2.77,3.33,"NA",3.85,3.57,2.91,3,3.43,4.66,2.48,1.88,2.71,3,2,2,1,4.97,5,3.27,2.94,2.6,2,3.63,3.11,3,3.16,2.99,1.34,2.57,1.05,3,3,3,2,1,3.32,3,3,3.78,1,"Hungary","Medium risk","High risk","Low risk","Very High risk","Medium risk","Medium risk","Medium risk","Medium risk"]
["ISL","Iceland",2.54,4.13,1.6,4.8600000000000003,3.4,"NA",1.1399999999999999,1,1.1399999999999999,1,2.6,1,1.1299999999999999,2.36,1.21,1,1,1,1,5,5,1.3,1.25,1,1,1.68,2.93,3.44,3.53,3.05,1,3.4,1.71,2.2599999999999998,3,2.02,1,1,3.1,2,1,3.71,3,"Iceland","High risk","Very low risk","Very low risk","Very High risk","Very low risk","High risk","Low risk","Medium risk"]
["IND","India",3.65,3.77,3.14,2.5499999999999998,4.1900000000000004,"NA",4.74,4.79,2.98,4.58,3.68,4.05,3.94,2.33,3.48,4,2,4.3899999999999997,2.56,2.0699999999999998,2,3.74,3.44,1.28,3,4.0599999999999996,3.48,2.6,1.19,2.42,2,2.3199999999999998,2.65,4.13,3,4.5999999999999996,4,2,3.71,5,3,1.59,1,"India","High risk","Very High risk","High risk","Low risk","High risk","Low risk","High risk","High risk"]
["IDN","Indonesia",3.2,3.68,1.7,3.1,4.01,"NA",2.9,1.83,2.19,2.91,2.2000000000000002,2.99,3.66,3.31,3.36,4,2,2.52,2.11,2.0099999999999998,2,3.76,1.34,3.71,4,2.77,3.65,4.18,2.65,3.01,3.95,3.8,4.2699999999999996,3.12,3,3.12,3,3,3.66,5,3,1.43,2,"Indonesia",{"$f":"IF(D77=\"NA\",\"Data not available\",IF(D77>$I$3,$J$3,IF(D77>$I$4,$J$4,IF(D77>$I$5,$J$5,IF(D77>$I$6,$J$6,$J$7)))))","v":"High risk"},{"$f":"IF(I77=\"NA\",\"Data not available\",IF(I77>$I$3,$J$3,IF(I77>$I$4,$J$4,IF(I77>$I$5,$J$5,IF(I77>$I$6,$J$6,$J$7)))))","v":"Medium risk"},{"$f":"IF(O77=\"NA\",\"Data not available\",IF(O77>$I$3,$J$3,IF(O77>$I$4,$J$4,IF(O77>$I$5,$J$5,IF(O77>$I$6,$J$6,$J$7)))))","v":"High risk"},{"$f":"IF(V77=\"NA\",\"Data not available\",IF(V77>$I$3,$J$3,IF(V77>$I$4,$J$4,IF(V77>$I$5,$J$5,IF(V77>$I$6,$J$6,$J$7)))))","v":"Low risk"},{"$f":"IF(X77=\"NA\",\"Data not available\",IF(X77>$I$3,$J$3,IF(X77>$I$4,$J$4,IF(X77>$I$5,$J$5,IF(X77>$I$6,$J$6,$J$7)))))","v":"High risk"},{"$f":"IF(AD77=\"NA\",\"Data not available\",IF(AD77>$I$3,$J$3,IF(AD77>$I$4,$J$4,IF(AD77>$I$5,$J$5,IF(AD77>$I$6,$J$6,$J$7)))))","v":"High risk"},{"$f":"IF(AJ77=\"NA\",\"Data not available\",IF(AJ77>$I$3,$J$3,IF(AJ77>$I$4,$J$4,IF(AJ77>$I$5,$J$5,IF(AJ77>$I$6,$J$6,$J$7)))))","v":"Medium risk"},{"$f":"IF(AO77=\"NA\",\"Data not available\",IF(AO77>$I$3,$J$3,IF(AO77>$I$4,$J$4,IF(AO77>$I$5,$J$5,IF(AO77>$I$6,$J$6,$J$7)))))","v":"High risk"}]
["IRL","Ireland",3.09,3.43,1.08,2.81,4.05,"NA",2.39,1.01,2.04,1.02,3.27,1.9,2,1.97,2.38,1,2,1,1,4.88,5,2.75,2.09,2.4300000000000002,2,2.93,2.78,2.62,2.78,1.94,1,2.73,1.66,2.25,3,1.99,1,1,3.48,3,1,4.08,3,"Ireland","High risk","Low risk","Low risk","Very High risk","Medium risk","Medium risk","Low risk","High risk"]
["ITA","Italy",3.11,3.75,2.16,2.41,4.87,"NA",3.48,3.07,2.21,2.72,3.46,4.12,3.56,3.49,3.31,2,4,1.93,1,1.06,1,3.69,2.71,1.95,4,3.57,3.43,3.12,3.61,2.13,2.96,2.54,2.41,2.87,3,2.83,1,2,4.3,5,2,3.79,1,"Italy","High risk","High risk","High risk","Very low risk","High risk","Medium risk","Medium risk","Very High risk"]
["JAM","Jamaica",3.37,3.5,2,1,5,"NA",3,3,2.5,2,2.5,5,3.75,4,3,1,1,2,5,3,3,3.62,1.5,4,2,3.5,3.58,4,3,4,3,3.5,5,3.25,3,2,1,4,3.5,3,3,5,2,"Jamaica","High risk","Medium risk","High risk","Medium risk","High risk","High risk","Medium risk","High risk"]
["JPN","Japan",3.12,3.5,1.78,1.59,4.88,"NA",3.2,2.4,2.44,2.3199999999999998,3.18,4.21,4.28,4.29,2.4,3,4,2.42,5,1,1,3.59,2.2000000000000002,2.35,4,3.42,3.2,3.76,3.91,3.6,1.57,2.82,3.41,2.58,3,2.4,1,2,3.27,4,1,3.43,1,"Japan","High risk","Medium risk","Very High risk","Very low risk","High risk","High risk","Low risk","Medium risk"]
["KAZ","Kazakhstan",3.33,3.8,2.23,4.3,3.26,"NA",3.28,3.72,1.71,2.83,3.37,1.82,2.83,1.67,3.46,3,2,2.36,1.04,4.9400000000000004,5,1.8,1.89,1.01,1,2.08,3.08,2.4700000000000002,1.86,2.2400000000000002,1.89,2.63,1.1000000000000001,3.37,3,2.91,4,1,3.39,4,3,1.49,2,"Kazakhstan","High risk","Medium risk","Medium risk","Very High risk","Very low risk","Low risk","Medium risk","Medium risk"]
["KEN","Kenya",3.23,3.72,2.11,3.52,3.88,"NA",2.88,3.91,2.56,1.82,2.36,2.3199999999999998,3,1.96,2.76,4,2,2.5,1.99,3.95,4,2.59,1.91,1.44,3,2.1800000000000002,3.73,3.63,2.68,2.89,3.02,3.64,3.66,3.55,3,4.97,3,3,4.01,4,4,1.81,2,"Kenya","High risk","Medium risk","Medium risk","High risk","Low risk","High risk","High risk","High risk"]
["KIR","Kiribati",2.62,4,2.6,5,3,"NA",1.5,1,1.5,1,2.75,1,2.75,2,1,1,1,3,3,3,3,1.88,1,1,3,1.5,3.58,3.25,2,3,1,3.25,5,3.25,3,4,3,1,4.2300000000000004,1,3,5,3,"Kiribati","High risk","Very low risk","Medium risk","Medium risk","Low risk","Medium risk","Medium risk","Very High risk"]
["KGZ","Kyrgyzstan",3.44,3.65,2.67,4.05,3.12,"NA",3.38,2.35,1.81,3.54,3.54,3.15,2.87,4.91,2.1,3,1,1.1299999999999999,2,4.9000000000000004,5,2.4,2.31,1,1,2.92,3.19,2.82,2.2799999999999998,2.13,3,2.46,1.96,3.74,3,3.64,4,1,3,2,4,2.0699999999999998,2,"Kyrgyzstan","High risk","Medium risk","Medium risk","Very High risk","Low risk","Medium risk","High risk","Medium risk"]
["LAO","Laos",3.92,3.24,1.65,1.46,4.57,"NA",3.35,2.31,3.08,3.92,2.85,2.33,4.51,3.93,4.8899999999999997,4,1,2.7,4.43,4.8600000000000003,5,3.63,2.4,4.3600000000000003,2,3.26,4,3.85,2.82,3.4,3.29,3.15,4.24,4.17,3,3.92,5,3,3.99,4,4,1.58,4,"Lao People's Democratic Republic","Medium risk","Medium risk","Very High risk","Very High risk","High risk","High risk","High risk","High risk"]
["LVA","Latvia",3.08,2.6,1.22,1.85,3.22,"NA",2.59,2.17,1.81,2.1,2.44,3.5,2.04,1.04,2.52,2,2,1.72,1,4.93,5,3.26,2.98,3.97,2,2.34,2.77,3.1,3.38,1.89,1,3.56,1,2.37,3,2.1,1,2,2.85,1,2,2.83,3,"Latvia","Low risk","Low risk","Low risk","Very High risk","Medium risk","Medium risk","Low risk","Medium risk"]
["LBN","Lebanon",3.83,4.29,3.45,3.23,4.99,"NA",3.79,3.41,2,3,3.72,4.99,3.38,4,3.5,3,1,2.79,1,4.55,5,3.14,2.78,1.45,2,4.1100000000000003,3.67,3,1.99,3.95,3,2.2799999999999998,2.87,3.52,3,3.49,3,2,4.49,4,4,4.9800000000000004,2,"Lebanon","Very High risk","High risk","Medium risk","Very High risk","Medium risk","Medium risk","High risk","Very High risk"]
["LSO","Lesotho",3.39,3.56,1.92,3.75,3.37,"NA",2.94,1.57,2.4300000000000002,1.99,3.99,2.79,2.98,2.5099999999999998,3.61,3,1,1.1599999999999999,2,4.78,5,2.71,2.93,1.01,1,2.57,3.66,3.08,2.11,2.72,2.98,2.0099999999999998,3.08,3.93,3,3.82,2,4,3.97,1,3,2.4500000000000002,5,"Lesotho","High risk","Medium risk","Medium risk","Very High risk","Medium risk","Medium risk","High risk","High risk"]
["LBR","Liberia",3.22,3.34,1.55,2.13,4.2699999999999996,"NA",3.61,3.55,2.04,4,2.27,2.52,2.87,2.19,4.57,2,1,3.01,1,3.07,3,3.22,1.17,4.57,1,2.77,3.84,3.96,2.41,3.4,3.58,3.73,3.98,3.52,3,4.97,2,2,4.04,4,4,2.06,3,"Liberia","Medium risk","High risk","Medium risk","Medium risk","Medium risk","High risk","High risk","High risk"]
["LTU","Lithuania",3.31,2.56,1.33,2.0699999999999998,3.04,"NA",3.29,2.77,1.74,2.95,3.02,4.74,2.0499999999999998,1,2.42,2,2,1.97,1,4.93,5,3.72,3.85,3.76,2,3.17,2.99,2.98,3.36,1.93,1,2.98,1,2.97,3,2.95,1,2,3.02,1,2,3.45,3,"Lithuania","Low risk","Medium risk","Low risk","Very High risk","High risk","Medium risk","Medium risk","Medium risk"]
["LUX","Luxembourg",2.99,2.59,1.41,2.17,3,"NA",3,2.17,2.1800000000000002,2,3.51,3,2.15,2,2,2,1,2,1,3.56,5,3.64,3.51,3.66,1,3.25,3.1,2.97,3.97,2.97,1,2.4900000000000002,1,2.25,3,2,1,2,4.07,2,1,5,3,"Luxembourg","Low risk","Medium risk","Low risk","High risk","High risk","Medium risk","Low risk","High risk"]
["MDG","Madagascar",3.32,3.58,1.99,2.4300000000000002,4.51,"NA",2.71,2.5,2.5299999999999998,1,2.62,2.11,4.4800000000000004,2.73,4.63,4,1,2.5499999999999998,5,3,3,2.81,1.38,2.99,3,1.51,3.55,3.89,2.58,3.3,3.37,3.38,4.53,3.25,3,1.99,3,4,3.5,3,4,2.0099999999999998,2,"Madagascar","High risk","Medium risk","Very High risk","Medium risk","Medium risk","High risk","Medium risk","High risk"]
["MWI","Malawi",3.59,3.03,1.85,2.3199999999999998,3.63,"NA",3.24,3.85,2.76,2,2.7,3,3.98,2.35,4.4400000000000004,5,1,2.0699999999999998,2.12,4.8,5,2.9,3.04,2.63,2,2.52,3.53,3.69,3.14,3.35,2.93,3.3,3.88,3.59,3,4.97,2,3,3.32,2,4,2.64,2,"Malawi","Medium risk","Medium risk","High risk","Very High risk","Medium risk","High risk","High risk","Medium risk"]
["MYS","Malaysia",3.6,3.45,1.33,2.29,4.43,"NA",3.18,1,2.5499999999999998,3.26,2.4700000000000002,3.49,3.7,3.81,2.99,4,3,2.89,2.04,3.98,4,3.67,1.45,4.6399999999999997,3,3.28,3.59,4.2699999999999996,3.09,3.32,3.8,3.53,4.75,3.1,3,3.26,3,3,3.4,4,3,1.6,1,"Malaysia","High risk","Medium risk","High risk","High risk","High risk","Very High risk","Medium risk","Medium risk"]
["MDV","Maldives","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","Maldives","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["MLI","Mali",3.79,3.81,2.99,4.34,3,"NA",4.5599999999999996,5,2.09,4.54,2.66,2.34,3.59,1.34,2.2999999999999998,4,1,4.76,1,4.92,5,2.06,1.77,1.1499999999999999,1,2.89,2.87,1.87,1.7,1.35,1.22,3.34,1.43,3.42,3,4.54,3,2,3.32,2,4,1.4,3,"Mali","High risk","Very High risk","High risk","Very High risk","Low risk","Low risk","High risk","Medium risk"]
["MLT","Malta",3.57,4.5,4,4,5,"NA",3,3,1.5,3,4.5,1,2,2,3,1,1,2,1,5,5,3.33,3,1,2,4.33,3.58,4,4,4,3,1.5,3,3.25,3,4,1,2,3.5,2,3,5,3,"Malta","Very High risk","Medium risk","Low risk","Very High risk","Medium risk","High risk","Medium risk","High risk"]
["MHL","Marshall Islands",2.62,4,2.6,5,3,"NA",1.5,1,1.5,1,2.75,1,2.75,2,1,1,1,3,3,3,3,1.88,1,1,2,1.5,3.58,3.25,2,3,1,3.25,5,3.25,3,4,3,2,4.2300000000000004,1,3,5,5,"Marshall Islands","High risk","Very low risk","Medium risk","Medium risk","Low risk","Medium risk","Medium risk","Very High risk"]
["MRT","Mauritania",3.36,4.18,3.27,4.83,3.23,"NA",4.6100000000000003,5,1.64,4.6100000000000003,2.5499999999999998,2.31,3.38,1.44,1.21,4,1,4.4800000000000004,1,3.03,3,1.61,1.26,1,1,2.63,2.7,1.39,1.0900000000000001,1.31,1,3.45,1.17,4.1100000000000003,3,4.6100000000000003,4,2,2.6,2,4,1.1499999999999999,2,"Mauritania","High risk","Very High risk","Medium risk","Medium risk","Very low risk","Very low risk","High risk","Low risk"]
["MUS","Mauritius","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","Mauritius","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["MEX","Mexico",3.04,3.71,2.65,2.39,4.5,"NA",3.42,4.16,2.37,1.67,3.14,2.61,3.84,2.76,3.57,3,2,2.85,4.3099999999999996,1.03,1,3.19,2.21,1.84,4,2.38,3.78,3.49,2.2999999999999998,3.16,3,2.86,3.74,3.37,3,3.18,3,4,4.49,5,4,2.39,3,"Mexico","High risk","High risk","High risk","Very low risk","Medium risk","High risk","Medium risk","Very High risk"]
["FSM","Micronesia",2.8,4,2.6,5,3,"NA",1,1,1,1,2.75,1,3.75,4,2,3,1,3,5,3,3,2.25,1,2,3,1.83,3.65,4,2,4,1,3.25,5,3,3,2.6,3,3,3.96,1,3,5,4,"Micronesia (Federated States of)","High risk","Very low risk","High risk","Medium risk","Low risk","High risk","Medium risk","High risk"]
["MNG","Mongolia",3.02,3.92,2.59,4.76,3.01,"NA",2.82,3.4,1.52,2.19,2.68,1.04,2.02,2.34,1.52,2,1,1.53,1.65,4.84,5,1.52,1.35,1.1499999999999999,1,1.89,3.17,3.08,2.87,2.16,2.35,3.32,1.07,3.07,3,3.13,2,2,3.36,2,4,1.46,3,"Mongolia","High risk","Medium risk","Low risk","Very High risk","Very low risk","Medium risk","Medium risk","Medium risk"]
["MAR","Morocco",3.64,4.13,3.11,3.69,4.32,"NA",3.84,4.49,2.0299999999999998,2.8,3.49,2.96,2.67,2.33,1.77,3,1,2.94,1,4.93,5,2.64,2.4,1.1299999999999999,2,2.92,3.32,2.89,2.33,2.71,2.8,2.5099999999999998,2.21,3.49,3,3.36,4,3,3.58,4,3,2.33,3,"Morocco","High risk","High risk","Medium risk","Very High risk","Medium risk","Medium risk","High risk","High risk"]
["MOZ","Mozambique",3.19,2.86,1.97,1.83,3.44,"NA",2.87,3.61,2.58,1.75,2.56,2.06,4.54,1.8,4.9000000000000004,5,1,3.31,2.98,3.02,3,2.67,2.11,3.18,2,2.13,4.05,3.19,2.4900000000000002,2.65,2.12,3.44,2.4700000000000002,4.97,3,4.97,4,5,4,4,4,1.46,1,"Mozambique","Medium risk","Medium risk","Very High risk","Medium risk","Medium risk","Medium risk","Very High risk","High risk"]
["MMR","Myanmar",3.46,3.51,1.99,1.8,4.66,"NA",3.43,3.25,2.88,3.68,2.2799999999999998,2.93,4.1399999999999997,3.77,4.47,4,1,3.31,3.08,2.96,3,3.25,1.94,3.28,2,3.28,3.92,3.71,2,3.15,3.27,3.72,3.55,4.01,3,3.68,5,1,4.03,4,4,1.51,4,"Myanmar","High risk","High risk","High risk","Medium risk","Medium risk","High risk","High risk","High risk"]
["NAM","Namibia",3.25,3.92,3.28,4.4800000000000004,3,"NA",2.88,4.95,1.7,2,2.78,1.03,2.5299999999999998,1.69,2.59,3,1,2.2000000000000002,1.35,4.9800000000000004,5,1.94,1.67,1,2,1.79,3.58,3.1,2.8,2.11,2.25,3.22,2.14,4.26,3,4.01,2,5,3.37,4,3,1.49,2,"Namibia","High risk","Medium risk","Low risk","Very High risk","Low risk","Medium risk","Very High risk","Medium risk"]
["NPL","Nepal",3.64,3.72,2.14,2.19,4.66,"NA",3.68,2.97,3.29,4.24,2.4900000000000002,2.78,3.69,4.37,3.87,3,1,2.2000000000000002,2,4.45,5,2.64,1.9,1.06,2,3.58,3.75,4.0199999999999996,2.76,3.55,3.05,3.51,4.4000000000000004,3.52,3,4.24,3,2,3.7,2,4,2.89,3,"Nepal","High risk","High risk","High risk","Very High risk","Medium risk","High risk","High risk","High risk"]
["NLD","Netherlands",3.44,3.8,1.87,3.38,4.2300000000000004,"NA",3.43,1.74,2.65,2.67,3.36,4.99,2,1.62,2.31,1,2,1.49,1,4.6399999999999997,5,3.32,3.17,1.6,2,3.78,3.69,3.42,4.2,3.29,1,2.64,1.76,2.78,3,2.71,1,1,4.88,5,1,4.8,1,"Netherlands","High risk","High risk","Low risk","Very High risk","Medium risk","High risk","Medium risk","Very High risk"]
["NZL","New Zealand",3.4,3.17,1.41,1.78,4.42,"NA",2.57,1.78,1.95,1,3.05,2.23,3.56,3.98,2.44,1,3,1,4,4,4,3.72,1.73,2.9,5,2.5099999999999998,3.21,4.09,3.97,2.79,3.78,2.95,3.66,3,3,2.04,1,3,2.54,4,1,2.2599999999999998,1,"New Zealand","Medium risk","Low risk","High risk","High risk","High risk","High risk","Medium risk","Low risk"]
["NIC","Nicaragua",3.67,3.46,1.31,2.4700000000000002,4.4000000000000004,"NA",3.12,3.47,3.09,1.82,2.2000000000000002,2.81,3.77,3.14,3.99,3,2,2.88,3.94,4.97,5,3.03,1.46,3.86,2,2.74,3.89,4.21,3.9,3.5,2.67,3.8,4.6100000000000003,4.1900000000000004,3,1.92,5,4,3.27,2,4,2.72,2,"Nicaragua","High risk","Medium risk","High risk","Very High risk","Medium risk","Very High risk","High risk","Medium risk"]
["NER","Niger",3.29,4.0199999999999996,3.3,4.68,3,"NA",4.82,5,2.0499999999999998,4.82,2.31,2.38,2.75,1.6,1.44,3,1,4.22,1,3.07,3,1.76,1.48,1,1,2.66,3.06,2.17,2.14,1.8,1.02,3.69,1.17,3.5,3,4.82,3,3,3.51,2,4,2.08,3,"Niger","High risk","Very High risk","Medium risk","Medium risk","Very low risk","Low risk","High risk","High risk"]
["NGA","Nigeria",4.0199999999999996,3.16,2.04,2.79,3.4,"NA",4.6500000000000004,4.4400000000000004,2.7,5,2.84,3.6,4.07,1.85,4.1900000000000004,4,1,4.5,1,4.9800000000000004,5,3.26,2.98,2.2599999999999998,2,3.28,3.67,2.77,2.67,1.73,1.54,3.16,2.5299999999999998,4.24,3,5,4,2,4.01,4,4,1.54,1,"Nigeria","Medium risk","Very High risk","High risk","Very High risk","Medium risk","Medium risk","Very High risk","High risk"]
["NOR","Norway",2.58,3.82,1.44,4.1900000000000004,3.46,"NA",1.93,1.74,1.46,1,2.78,1.47,1.9,2.88,1.6,1,2,1,1,3.07,3,2.19,1.81,1.89,2,1.92,2.92,3.45,3.81,2.73,2.6,3.22,1.4,1.84,3,1.45,1,1,3.48,5,1,2.99,1,"Norway","High risk","Low risk","Low risk","Medium risk","Low risk","High risk","Low risk","High risk"]
["PAK","Pakistan",4.0199999999999996,4.09,3.31,3.92,3.83,"NA",4.37,4.3600000000000003,2.92,4.58,3.22,2.86,3.82,2.86,2.61,4,2,4.09,2.13,4.8499999999999996,5,2.99,2.5099999999999998,1,2,3.68,3.35,2.5099999999999998,2.12,1.91,1.61,2.78,2.17,4.13,3,4.59,4,1,3.41,3,4,1.59,2,"Pakistan","High risk","Very High risk","High risk","Very High risk","Medium risk","Low risk","High risk","High risk"]
["PAN","Panama",3.32,3.53,1.88,2.21,4.47,"NA",3.15,4.05,2.14,2.6,2.4900000000000002,2.57,3.02,4.0199999999999996,3.64,2,2,2.16,2.0099999999999998,3.97,4,2.91,1.54,3.41,2,2.8,3.96,4.6100000000000003,3.68,3.78,4.22,3.51,5,3.37,3,2.82,2,4,3.89,3,4,3.51,2,"Panama","High risk","Medium risk","Medium risk","High risk","Medium risk","Very High risk","Medium risk","High risk"]
["PNG","Papua New Guinea",3.01,3.88,1.47,4.58,3.17,"NA",2.2799999999999998,1.01,2.11,1.25,2.09,2.72,2.72,3.59,2.75,2,1,2.2999999999999998,2.2400000000000002,2.98,3,3.18,1.06,2.8,4,1.96,3.92,4.75,1.58,3.26,4.68,3.91,4.8099999999999996,3,3,1.61,3,3,4,3,4,1.1599999999999999,4,"Papua New Guinea","High risk","Low risk","Medium risk","Medium risk","Medium risk","Very High risk","Medium risk","High risk"]
["PRY","Paraguay",3.73,3.34,1.66,3.17,3.49,"NA",3.5,3.99,3.06,2.1800000000000002,2.93,2.16,3.91,1.41,4.79,1,2,4.6100000000000003,1,4.83,5,3.07,2.36,4.05,2,2.29,3.51,3.19,2.31,2.98,2.36,3.07,2.69,3.28,3,2.2999999999999998,3,4,4.08,4,4,2.08,2,"Paraguay","Medium risk","High risk","High risk","Very High risk","Medium risk","Medium risk","Medium risk","High risk"]
["PER","Peru",3.13,3.99,2.1800000000000002,3.8,4.13,"NA",2.76,2.3199999999999998,3.06,2.48,1.85,1.72,3.04,3.36,2.96,3,1,1.96,1.1299999999999999,3.02,3,2.87,1.29,2.12,3,2.59,4.3,4.4400000000000004,2.73,3.25,4.28,4.1500000000000004,4.43,3.97,3,3.96,2,4,4.4800000000000004,5,4,2.34,2,"Peru","High risk","Medium risk","Medium risk","Medium risk","Medium risk","Very High risk","High risk","Very High risk"]
["PHL","Philippines",3.69,3.42,1.61,1.54,4.9400000000000004,"NA",3.68,3.65,2.69,1.99,2.63,4.01,4.1399999999999997,4.26,3.5,3,2,2.5099999999999998,4.9000000000000004,4,4,3.22,1.86,3.2,3,3.15,4.09,4.22,2.96,3.75,3.5,3.37,4.9800000000000004,4,3,4,4,4,4.0599999999999996,4,4,1.92,2,"Philippines","High risk","High risk","High risk","High risk","Medium risk","Very High risk","High risk","High risk"]
["POL","Poland",3.5,2.83,1.46,2.5,3.15,"NA",3.57,3.11,1.85,3.25,3.12,4.9400000000000004,2.8,1.79,2.23,3,3,1.95,1,4.97,5,3.34,3.06,3.09,2,3.51,3.23,3.05,4.18,2.31,1.21,2.88,1.1299999999999999,3.07,3,3.25,3,1,3.56,5,2,2.4900000000000002,2,"Poland","Medium risk","High risk","Medium risk","Very High risk","Medium risk","Medium risk","Medium risk","High risk"]
["PRT","Portugal",3.41,3.32,2.21,1.95,4.28,"NA",3.76,3.42,2.33,1.02,3.81,4.21,2.85,2.83,3.89,1,2,2.2599999999999998,1,3.68,4,3.44,2.9,4.34,3,2.5299999999999998,3.12,3.09,3.17,3.01,2.97,2.19,2,2.4700000000000002,3,2.29,1,2,3.82,4,2,3.88,1,"Portugal","Medium risk","High risk","Medium risk","High risk","High risk","Medium risk","Low risk","High risk"]
["ROU","Romania",3.51,2.89,1.62,2.41,3.31,"NA",3.62,3.33,2.75,3,3.63,4.1399999999999997,2.95,2.92,3.47,3,1,2.09,1,4.99,5,3.11,3.29,1.99,2,3.04,2.96,3.01,3.11,2.3199999999999998,2.95,2.37,1.38,3,3,3,2,2,2.87,2,3,2.9,2,"Romania","Medium risk","High risk","Medium risk","Very High risk","Medium risk","Medium risk","Medium risk","Medium risk"]
["RWA","Rwanda",3.78,3.39,1.34,2.36,4.42,"NA",3.93,1.8,2.83,3.88,3.07,4.7699999999999996,3.4,3.3,2.71,4,1,1,1.99,4.71,5,3.49,3.53,2.84,1,3.46,3.82,4.17,2.7,4.0599999999999996,3,2.93,4.71,4.2300000000000004,3,3.95,5,4,3.08,2,2,4.26,1,"Rwanda","Medium risk","High risk","Medium risk","Very High risk","High risk","High risk","Very High risk","Medium risk"]
["KNA","Saint Kitts and Nevis",2.71,3,2,3,3,"NA",1.5,1,1.5,1,3.25,1,4,4,4,1,1,2,5,3,3,2.04,2,1,1,2.17,3.44,4,4,4,1,2.75,5,3,3,2,3,3,3.32,3,3,5,2,"Saint Kitts and Nevis","Medium risk","Very low risk","High risk","Medium risk","Low risk","High risk","Medium risk","Medium risk"]
["LCA","Saint Lucia",2.96,4,3,3,5,"NA",2,1,2,1,2.75,1,2.75,2,3,1,1,2,5,3,3,3.04,2,3,3,3.17,3.33,4,4,4,1,3.25,5,3,3,3,3,3,2.99,3,2,5,3,"Saint Lucia","High risk","Low risk","Medium risk","Medium risk","Medium risk","High risk","Medium risk","Medium risk"]
["WSM","Samoa","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","Samoa","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["STP","Sao Tome and Principe",3,3.4,1.8,1,5,"NA",3,1,1,4,2.25,3,2.75,4,3,2,1,2,1,3,3,2.87,1,3,1,2.83,4.5,5,5,4,3,3.75,5,3.99,3,4,2,3,4.49,3,3,5,3,"Sao Tome and Principe","Medium risk","Medium risk","Medium risk","Medium risk","Medium risk","Very High risk","High risk","Very High risk"]
["SEN","Senegal",3.88,3.47,2.41,3.05,3.83,"NA",4.2699999999999996,4.9000000000000004,2.2999999999999998,4.26,2.74,2.57,4.12,1.18,3.86,4,1,4.8600000000000003,1,4.88,5,2.65,2.16,1.42,2,2.9,3.3,3.15,3.17,2.69,1.05,3.26,2.13,3.34,3,4.28,2,3,3.41,4,3,1.87,2,"Senegal","High risk","Very High risk","High risk","Very High risk","Medium risk","Medium risk","Medium risk","High risk"]
["SYC","Seychelles",2.54,4,3,5,3,"NA",1.1100000000000001,1,1,1,2.75,1.1200000000000001,2.7,1.07,1,2,1,3,3.92,3,3,1.9,1,1.1499999999999999,2,1.83,3.44,4.76,2.73,5,3,3.25,4.46,3,3,3,1,2,2.5499999999999998,1,1,4.46,2,"Seychelles","High risk","Very low risk","Medium risk","Medium risk","Low risk","Very High risk","Medium risk","Low risk"]
["SLE","Sierra Leone",3.62,3.33,1.63,1.0900000000000001,5,"NA",3.08,3,2.42,4,2.3199999999999998,2.95,3.55,2,5,3,1,3.75,1,4.78,5,3.34,1.2,4.6900000000000004,1,2.89,3.5,3.34,2.95,2.77,3,3.68,3.36,3.59,3,5,3,2,3.59,3,4,2.27,2,"Sierra Leone","Medium risk","Medium risk","High risk","Very High risk","Medium risk","Medium risk","High risk","High risk"]
["SVK","Slovakia",3.39,3.05,1.77,2.2799999999999998,3.72,"NA",3.23,2.71,2.68,3,3.16,3.82,2.56,3.35,2.2000000000000002,3,1,1.79,1,5,5,3.14,2.63,3.09,2,3.27,3.07,3.07,3.5,2.5099999999999998,2.71,2.84,1.45,3,3,3,1,1,3.15,2,3,3.74,2,"Slovakia","Medium risk","Medium risk","Low risk","Very High risk","Medium risk","Medium risk","Medium risk","Medium risk"]
["SVN","Slovenia",3.19,2.92,1.55,1.85,3.86,"NA",3.01,1.1100000000000001,2.04,2.7,2.86,3.07,2.2000000000000002,4.25,2.19,1,2,1.86,1,4.71,5,3.09,2.48,2.78,2,3.5,2.85,3.3,4.4800000000000004,1.75,2.76,3.14,1.57,2.77,3,2.7,1,1,2.48,2,2,2.74,1,"Slovenia","Medium risk","Medium risk","Low risk","Very High risk","Medium risk","Medium risk","Medium risk","Low risk"]
["SLB","Solomon Islands",3.05,3.82,1.51,4.21,3.43,"NA",1.59,1,1.59,1,2.36,1,3.66,4.6399999999999997,1.76,1,1,2.41,4.04,3,3,3.18,1.1100000000000001,3.78,3,1.62,3.59,4.4800000000000004,1.66,4.47,3.88,3.64,5,3,3,1.51,2,3,3.28,3,3,1.1200000000000001,4,"Solomon Islands","High risk","Very low risk","High risk","Medium risk","Medium risk","Very High risk","Medium risk","Medium risk"]
["SOM","Somalia",2.9,3.87,3.14,4.22,3.26,"NA",3.55,4.5199999999999996,2.37,2.71,2.94,1.62,2.68,1.72,1.72,3,1,3.5,2,3.01,3,1.38,1.57,1.02,1,1.54,3.8,3.02,1.02,2.21,2.87,3.06,2.63,4.9400000000000004,3,4.9800000000000004,5,3,3.45,2,5,1,3,"Somalia","High risk","High risk","Medium risk","Medium risk","Very low risk","Medium risk","Very High risk","High risk"]
["ZAF","South Africa",3.36,3.62,3.12,3.15,3.62,"NA",3.81,4.13,1.96,1.76,4.12,2.21,3.15,1.92,3.46,4,2,2.2799999999999998,1.85,3.04,3,3.18,2.61,1.54,4,2.3199999999999998,3.38,3.01,2.5299999999999998,2.69,2.39,1.88,2.89,3.76,3,3.19,3,5,3.37,4,3,1.54,2,"South Africa","High risk","High risk","Medium risk","Medium risk","Medium risk","Medium risk","High risk","Medium risk"]
["SSD","South Sudan",3.09,3.14,1.95,2.92,3.29,"NA",3.82,4.05,2.82,3.75,2.88,1.71,3.62,1.52,4.9400000000000004,3,1,3.79,1.03,3,3,1.88,1.67,1.0900000000000001,1,2.59,3.98,3.16,2.44,2.46,2.73,3.12,2.2599999999999998,4.9400000000000004,3,4.9400000000000004,5,4,3.84,3,5,1.93,3,"South Sudan","Medium risk","High risk","High risk","Medium risk","Low risk","Medium risk","Very High risk","High risk"]
["ESP","Spain",2.98,3.56,2.83,2.4,4.2,"NA",3.79,3.54,2.14,1.72,3.95,3.82,3.01,2.57,2.99,1,4,2.0299999999999998,1,1.06,1,3.48,2.95,2.41,4,2.5299999999999998,3.35,3.32,3.48,3.76,2.84,2.0499999999999998,2.34,2.82,3,2.87,1,2,3.92,5,2,3.1,1,"Spain","High risk","High risk","Medium risk","Very low risk","High risk","Medium risk","Medium risk","High risk"]
["LKA","Sri Lanka",3.63,3.76,2.5299999999999998,1.04,5,"NA",3.12,1.36,2.94,3.02,3.01,4.37,3.13,1.98,3.25,1,2,3.39,3.23,5,5,3.14,2.81,3.01,3,3.31,3.68,4.5999999999999996,4.5,3.21,2.3199999999999998,2.99,4.91,3,3,3.02,3,3,3.42,3,3,4.3899999999999997,2,"Sri Lanka","High risk","Medium risk","Medium risk","Very High risk","Medium risk","Very High risk","Medium risk","High risk"]
["SDN","Sudan",3.36,3.78,2.94,4.26,3.12,"NA",4.07,4.99,2.2400000000000002,4.0199999999999996,2.7,2.19,3.55,1.78,2.21,4,1,4.29,1,3.01,3,2.4,2.0099999999999998,1,2,2.61,3.11,1.74,1.1599999999999999,1.4,1.17,3.3,1.56,4.2699999999999996,3,4.03,5,2,3.31,3,4,1.21,3,"Sudan",{"$f":"IF(D141=\"NA\",\"Data not available\",IF(D141>$I$3,$J$3,IF(D141>$I$4,$J$4,IF(D141>$I$5,$J$5,IF(D141>$I$6,$J$6,$J$7)))))","v":"High risk"},{"$f":"IF(I141=\"NA\",\"Data not available\",IF(I141>$I$3,$J$3,IF(I141>$I$4,$J$4,IF(I141>$I$5,$J$5,IF(I141>$I$6,$J$6,$J$7)))))","v":"High risk"},{"$f":"IF(O141=\"NA\",\"Data not available\",IF(O141>$I$3,$J$3,IF(O141>$I$4,$J$4,IF(O141>$I$5,$J$5,IF(O141>$I$6,$J$6,$J$7)))))","v":"High risk"},{"$f":"IF(V141=\"NA\",\"Data not available\",IF(V141>$I$3,$J$3,IF(V141>$I$4,$J$4,IF(V141>$I$5,$J$5,IF(V141>$I$6,$J$6,$J$7)))))","v":"Medium risk"},{"$f":"IF(X141=\"NA\",\"Data not available\",IF(X141>$I$3,$J$3,IF(X141>$I$4,$J$4,IF(X141>$I$5,$J$5,IF(X141>$I$6,$J$6,$J$7)))))","v":"Low risk"},{"$f":"IF(AD141=\"NA\",\"Data not available\",IF(AD141>$I$3,$J$3,IF(AD141>$I$4,$J$4,IF(AD141>$I$5,$J$5,IF(AD141>$I$6,$J$6,$J$7)))))","v":"Very low risk"},{"$f":"IF(AJ141=\"NA\",\"Data not available\",IF(AJ141>$I$3,$J$3,IF(AJ141>$I$4,$J$4,IF(AJ141>$I$5,$J$5,IF(AJ141>$I$6,$J$6,$J$7)))))","v":"Very High risk"},{"$f":"IF(AO141=\"NA\",\"Data not available\",IF(AO141>$I$3,$J$3,IF(AO141>$I$4,$J$4,IF(AO141>$I$5,$J$5,IF(AO141>$I$6,$J$6,$J$7)))))","v":"Medium risk"}]
["SWE","Sweden",3.09,3.22,1.28,3.36,3.02,"NA",2.6,2.72,1.42,1.31,2.82,1.65,1.96,2,2.02,1,2,1,1,4.99,5,2.67,1.96,3.79,2,1.76,2.76,3.04,3.09,1.79,2.2000000000000002,3.18,1.04,1.85,3,1.47,1,1,3.39,4,1,3.6,1,"Sweden","Medium risk","Low risk","Low risk","Very High risk","Medium risk","Medium risk","Low risk","Medium risk"]
["CHE","Switzerland",3.31,3.07,1.71,2.96,3.19,"NA",3.11,1.85,2.34,2.33,3.53,3.22,2.8,4.38,1.99,1,3,1.31,1,4.47,5,3.12,2.79,1.71,3,3.32,3.14,2.88,3.73,1.96,2.82,2.4700000000000002,1.9,2.5,3,2.33,1,2,4.04,4,1,4.4800000000000004,1,"Switzerland","Medium risk","Medium risk","Medium risk","Very High risk","Medium risk","Medium risk","Low risk","High risk"]
["TJK","Tajikistan",3.52,3.94,2.36,4.37,3.41,"NA",3.65,3.58,2.73,3.5,3.17,2.88,2.83,4.66,1.69,3,1,1.53,2,4.74,5,2.42,2.31,1,1,2.95,3.58,3.25,3.02,2.7,3,2.83,1.85,4.0199999999999996,3,3.68,5,2,3.47,2,4,3.12,2,"Tajikistan","High risk","High risk","Medium risk","Very High risk","Low risk","Medium risk","High risk","High risk"]
["THA","Thailand",3.59,3.78,2.5099999999999998,1.98,4.9400000000000004,"NA",3.71,3.14,3.15,3.43,3.19,3.6,3.96,2.5499999999999998,4.22,4,2,3.68,3.24,3.05,3,3.45,2.97,2.95,3,3.46,3.8,3.86,3.47,3.19,3.51,2.81,3.82,3.66,3,3.54,4,2,3.87,5,3,1.96,2,"Thailand","High risk","High risk","High risk","Medium risk","High risk","High risk","High risk","High risk"]
["TLS","Timor-Leste",3.18,3.97,1.84,4.8,3.14,"NA",2.27,2.0299999999999998,1.96,2.25,2.0699999999999998,3,4.0599999999999996,4.0599999999999996,4.17,2,1,2.0699999999999998,4.07,2.92,3,2.66,1.18,2.75,1,2.71,3.23,4,2.92,4,3,3.93,5,2.4700000000000002,3,2.2599999999999998,2,1,3.22,1,3,1,4,"Timor-Leste","High risk","Low risk","High risk","Medium risk","Medium risk","High risk","Low risk","Medium risk"]
["TGO","Togo",3.6,3.18,1.5,2.6,3.74,"NA",4.08,4.09,2.44,4.96,3.12,3.01,3.81,1.95,4.88,3,1,4.12,1,3.41,3,3.5,3.49,2.72,1,3.57,3.88,3.22,3.02,2.73,2.39,2.88,2.74,4.16,3,4.96,3,4,4.25,1,4,2.79,5,"Togo","Medium risk","High risk","High risk","High risk","High risk","Medium risk","High risk","Very High risk"]
["TON","Tonga","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","Tonga","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["TTO","Trinidad and Tobago",3.87,4.2,3.4,1,5,"NA",3,5,2,1,2.5,3,4,4,4,1,1,2,4,5,5,3.17,1.5,3,2,3.67,3.53,4,4,4,3,3.5,5,3.1,3,3.4,1,3,3.5,1,3,5,2,"Trinidad and Tobago","High risk","Medium risk","High risk","Very High risk","Medium risk","High risk","Medium risk","High risk"]
["TUR","Turkey",3.51,3.57,2.68,2.88,3.94,"NA",4.01,4.18,2.17,3.01,3.51,4.2,3,3.95,2.95,3,2,1.98,1,3.99,4,2.98,2.7,1.6,2,3.27,3.66,2.92,1.21,2.99,2.98,2.4900000000000002,2.11,4.24,3,3.13,5,4,3.8,5,3,1.82,1,"Turkey","High risk","High risk","Medium risk","High risk","Medium risk","Medium risk","Very High risk","High risk"]
["TUV","Tuvalu",2.68,4,3,5,3,"NA",1,1,1,1,2.25,1,2.75,2,1,1,1,3,4,3,3,2.63,1,1,2,2.17,3.04,4,2,4,3,3.75,5,3,3,3,3,3,2.13,3,2,1,3,"Tuvalu","High risk","Very low risk","Medium risk","Medium risk","Medium risk","High risk","Medium risk","Low risk"]
["UGA","Uganda",3.12,3.15,1.44,2.16,4.08,"NA",3.24,3.34,2.7,3.09,2.36,3.02,3.28,2.04,3.96,4,1,1.78,1.44,3.03,3,2.9,2.96,2.64,2,2.46,3.96,3.59,2.93,2.79,3.13,3.64,3.58,4.2300000000000004,3,4.97,4,4,4.05,4,4,2.0299999999999998,3,"Uganda","Medium risk","Medium risk","Medium risk","Medium risk","Medium risk","High risk","Very High risk","High risk"]
["UKR","Ukraine",3.07,2.99,1.9,2.72,3.2,"NA",3.55,2.36,2.29,2.93,3.43,4.53,2.79,1.87,4.1900000000000004,3,2,2,1,3.03,3,2.97,3.15,1.82,2,2.89,3.29,2.54,2.78,2.0099999999999998,1.28,2.57,1.1100000000000001,3.27,3,2.97,4,1,4.0599999999999996,4,4,2.09,3,"Ukraine","Medium risk","High risk","Medium risk","Medium risk","Medium risk","Low risk","Medium risk","High risk"]
["GBR","United Kingdom",3.1,3.71,1.36,3.1,4.32,"NA",2.94,1.62,2.29,1.9,3.33,3.55,2.39,1.98,2.5299999999999998,3,3,1,1,3.04,3,3.44,2.71,2.13,4,2.77,3.21,2.92,3.74,2.5299999999999998,1,2.67,1.78,2.39,3,1.97,2,2,4.3099999999999996,5,1,4.12,1,"United Kingdom","High risk","Medium risk","Low risk","Medium risk","High risk","Medium risk","Low risk","Very High risk"]
["TZA","Tanzania",3.17,3.06,1.52,2.2200000000000002,3.81,"NA",2.86,3.86,2.33,2.0499999999999998,2.08,2.5499999999999998,3.84,2.04,4.3600000000000003,5,1,2.0499999999999998,2,3.03,3,3.05,2.39,2.75,3,2.39,3.56,3.79,3.23,3.09,3.08,3.92,3.31,3.28,3,4.01,3,3,3.61,4,3,2.37,2,"United Republic of Tanzania","Medium risk","Medium risk","High risk","Medium risk","Medium risk","High risk","Medium risk","High risk"]
["USA","United States",3.13,3.35,2.17,3.03,3.42,"NA",3.28,3.39,2.2200000000000002,1.41,3.46,2.2599999999999998,3.42,2.08,2.96,2,5,2.6,2.2599999999999998,2,2,3.61,2.4,2.27,5,1.94,2.94,2.91,2.67,1.78,2.54,2.54,2.06,3.03,3,2.52,1,3,2.87,5,2,1.22,1,"United States of America","Medium risk","Medium risk","High risk","Low risk","High risk","Medium risk","Medium risk","Medium risk"]
["URY","Uruguay",3.59,3.43,1.59,2.2400000000000002,4.57,"NA",3.77,4.29,2.94,1,3.8,2.5099999999999998,2.67,1.39,2.95,1,2,3.25,1,4.8600000000000003,5,3.23,3.25,2.72,2,3.09,2.74,2.72,1.6,2.96,1,2.2000000000000002,2.97,3.02,3,3,1,3,2.48,3,1,1.49,2,"Uruguay","High risk","High risk","Medium risk","Very High risk","Medium risk","Medium risk","Medium risk","Low risk"]
["UZB","Uzbekistan",3.24,3.93,3.1,4.42,3.22,"NA",3.96,4.8899999999999997,1.66,3.9,3.15,2.17,2.85,2.12,2.16,3,1,3.27,1.41,3.19,3,2.2599999999999998,2,1,1,3.1,3.27,3.03,1.8,2.56,2.97,2.85,1.49,3.94,3,3.91,4,2,2.84,2,4,1.63,1,"Uzbekistan","High risk","High risk","Medium risk","Medium risk","Low risk","Medium risk","High risk","Medium risk"]
["VUT","Vanuatu",2.94,3.83,2.34,4.66,3,"NA",1.38,1,1.38,1,2.25,1,4.16,4.72,2.41,1,1,2.0699999999999998,5,3,3,2.3199999999999998,1,1.62,3,1.93,3.53,4.42,2.38,4.07,3.69,3.75,4.87,3,3,3,2,2,3.18,3,3,2.41,3,"Vanuatu","High risk","Very low risk","High risk","Medium risk","Low risk","Very High risk","Medium risk","Medium risk"]
["VEN","Venezuela",3.17,3.46,1.55,3.07,3.62,"NA",3.08,3.59,2.42,2.5499999999999998,2.36,1.77,2.84,2.2999999999999998,3.87,1,2,2.89,2.15,3.97,4,2.5099999999999998,1.77,2.29,2,2.4500000000000002,4.1500000000000004,4.1500000000000004,3.55,3.03,3.98,3.64,3.78,3.99,3,2.62,4,4,4.3,4,5,1.34,1,"Venezuela (Bolivarian Republic of)","High risk","Medium risk","Medium risk","High risk","Low risk","High risk","High risk","Very High risk"]
["VNM","Vietnam",3.9,3.62,2.17,1.69,4.8899999999999997,"NA",3.88,4.2300000000000004,3.23,3.48,3.13,3.45,4.38,3.66,4.05,4,1,3.31,4.3899999999999997,3.97,4,3.68,2.5099999999999998,3.89,1,3.77,3.61,3.66,2.74,3.18,3.11,2.87,4.4800000000000004,3.68,3,3.54,4,2,3.5,4,3,1.78,2,"Viet Nam","High risk","High risk","Very High risk","High risk","High risk","High risk","High risk","High risk"]
["YEM","Yemen",3.73,4.24,3.68,4.5599999999999996,3.39,"NA",4.54,5,2.11,4.53,2.95,2.23,2.92,2.68,1.41,3,1,3.86,2,4.9800000000000004,5,1.97,1.62,1,1,2.95,3.95,2.27,1.06,1.6,2.2799999999999998,3.05,1.93,4.68,3,4.58,5,3,4.8899999999999997,4,5,1.25,5,"Yemen","Very High risk","Very High risk","Medium risk","Very High risk","Low risk","Low risk","Very High risk","Very High risk"]
["ZMB","Zambia",3.69,3.21,1.63,2.96,3.38,"NA",3.16,4.13,2.29,2.58,2.61,1.59,4.1900000000000004,1.67,4.97,5,1,2.0499999999999998,2,4.93,5,2.94,2.27,3.06,2,2.64,3.71,3.31,3.16,2.76,2.74,3.39,2.48,4.2699999999999996,3,4.04,2,5,3.56,3,4,2.14,2,"Zambia","Medium risk","Medium risk","High risk","Very High risk","Medium risk","Medium risk","Very High risk","High risk"]
["ZWE","Zimbabwe",3.2,3.08,2.13,2.02,3.77,"NA",3.63,4.68,2.2000000000000002,1.95,3.61,2.54,3.42,1.82,4.13,4,1,2.25,2.0099999999999998,3.04,3,2.81,3.57,1.92,2,2.34,3.9,2.72,2.7,2.2599999999999998,1.39,2.39,2.3199999999999998,4.97,3,4.96,4,5,4.01,4,4,1.73,1,"Zimbabwe","Medium risk","High risk","High risk","Medium risk","Medium risk","Medium risk","Very High risk","High risk"]
["ABW","Aruba",2.92,4.5,2.6,4,5,"NA",2.75,3,1,1,2.75,1,2.75,2,2,1,1,3,4,3,3,1.62,1.5,1,1,1.33,3.5,4,4,4,3,3.25,5,3,3,2.6,3,3,3.5,1,2,5,3,null,"Very High risk","Medium risk","Medium risk","Medium risk","Very low risk","High risk","Medium risk","High risk"]
["AFG","Afghanistan",3.28,3.85,2.9,4.2300000000000004,3.26,"NA",4.38,4.9800000000000004,2.59,4.3099999999999996,3.21,1.3,2.78,3.5,1.66,3,1,2.4,2,3.03,3,2.36,2.19,1,1,3.07,3.71,2.2400000000000002,1.61,2.04,1.32,2.79,1.86,4.96,3,4.97,5,3,3.93,1,4,1.1200000000000001,4,null,"High risk","Very High risk","Medium risk","Medium risk","Low risk","Low risk","Very High risk","High risk"]
["AIA","Anguilla",2.71,3,2,3,3,"NA",1.5,1,1.5,1,3.25,1,4,4,4,1,1,2,5,3,3,2.04,2,1,2,2.17,3.44,4,4,4,1,2.75,5,3,3,2,3,3,3.32,3,2,5,3,null,"Medium risk","Very low risk","High risk","Medium risk","Low risk","High risk","Medium risk","Medium risk"]
["ALB","Albania",3.63,3.55,2.41,2.0299999999999998,4.68,"NA",3.07,1.43,2.5,3,3.08,3.14,3.75,4.76,4.12,3,1,1.98,1,5,5,2.79,1.95,2.4300000000000002,1,3.48,3.36,3.66,3.79,3.7,3,2.92,2.84,3,3,3.01,2,1,3.43,2,3,4.47,3,null,"High risk","Medium risk","High risk","Very High risk","Medium risk","High risk","Medium risk","High risk"]
["AND","Andorra",2.68,2.78,2.57,1.95,3,"NA",3.03,2.0499999999999998,2,2,3.74,3.05,3.51,4,2.0499999999999998,1,1,1.05,1,1.17,3,2.89,2.5,2,1,2.52,3.46,3,3,3.85,3,2.2599999999999998,2,2.68,3,2.57,3,3,4.71,1,2,5,3,null,"Medium risk","Medium risk","High risk","Very low risk","Medium risk","Medium risk","Medium risk","Very High risk"]
["ARE","United Arab Emirates",3.7,4.7699999999999996,4.5,4.46,4.26,"NA",4.38,5,1.92,4.38,2.89,1.75,2.56,2.17,2.2999999999999998,2,1,5,2,4.84,5,1.97,1.45,1,1,3.39,3.32,3.06,3.28,2.16,1.35,3.11,2.36,4.2300000000000004,3,4.7699999999999996,4,1,2.65,3,2,2.2000000000000002,1,null,"Very High risk","Very High risk","Low risk","Very High risk","Low risk","Medium risk","Very High risk","Medium risk"]
["ARM","Armenia",3.74,3.97,2.76,3.54,4.4000000000000004,"NA",3.34,1.1499999999999999,2.19,3,3.91,3.46,3.28,4.12,3.46,2,1,1.21,1,4.88,5,3.22,3.52,1,1,3.19,3.78,3.93,3.4,3.96,2.97,2.09,4.26,3.13,3,3.25,2,1,4.3,3,3,3.76,5,"Armenia","High risk","Medium risk","Medium risk","Very High risk","Medium risk","High risk","Medium risk","Very High risk"]
["ASM","American Samoa","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",null,"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["ATF","French Southern Territories",2.4900000000000002,4,2.7,5,3,"NA",1.21,1,1,1,2.75,1.24,2.9,2.5,1,1,1,3,4.9000000000000004,3,3,1.32,1,1,2,1.0900000000000001,3.68,4.6900000000000004,1.21,4.91,1.21,3.25,4.42,3,3,2.7,3,3,3.35,3,3,4.42,3,null,"High risk","Very low risk","Medium risk","Medium risk","Very low risk","Very High risk","Medium risk","Medium risk"]
["AZE","Azerbaijan",3.63,3.73,2.57,3.01,4.3499999999999996,"NA",3.45,3.27,2.4,3.17,3.83,3.26,2.94,3.25,3.49,2,1,2.46,1,4.95,5,3.07,3.66,1,1,2.95,3.51,3.31,2.99,3.38,2.67,2.17,2.33,3.64,3,3.25,5,1,3.58,3,4,2.36,3,"Azerbaijan","High risk","High risk","Medium risk","Very High risk","Medium risk","Medium risk","High risk","High risk"]
["BES1","Bonaire",2.92,4.5,2.6,4,5,"NA",2.75,3,1,1,2.75,1,2.75,2,2,3,1,3,4,3,3,1.62,1.5,1,1,1.33,3.5,4,4,4,3,3.25,5,3,3,2.6,3,3,3.5,1,3,5,3,null,"Very High risk","Medium risk","Medium risk","Medium risk","Very low risk","High risk","Medium risk","High risk"]
["BES2","Saba",2.71,3,2,3,3,"NA",1.5,1,1.5,1,3.25,1,4,4,4,3,1,2,5,3,3,2.04,2,1,1,2.17,3.44,4,4,4,1,2.75,5,3,3,2,3,3,3.32,3,3,5,3,null,"Medium risk","Very low risk","High risk","Medium risk","Low risk","High risk","Medium risk","Medium risk"]
["BES3","Saint Eustatius",2.71,3,2,3,3,"NA",1.5,1,1.5,1,3.25,1,4,4,4,3,1,2,5,3,3,2.04,2,1,1,2.17,3.44,4,4,4,1,2.75,5,3,3,2,3,3,3.32,3,3,5,3,null,"Medium risk","Very low risk","High risk","Medium risk","Low risk","High risk","Medium risk","Medium risk"]
["BHR","Bahrain",3.89,4.87,4.74,4,5,"NA",4,5,1,4,2.71,2.85,3.44,2,3.93,2,1,5,2,5,5,2.13,1.46,1,1,4.12,3.8,3.06,1.1499999999999999,3,1,3.29,3.15,4.79,3,4.74,5,3,3.55,2,3,5,2,null,"Very High risk","High risk","High risk","Very High risk","Low risk","Medium risk","Very High risk","High risk"]
["BLM","Saint Barthelemy",2.71,3,2,3,3,"NA",1.5,1,1.5,1,3.25,1,4,4,4,1,1,2,5,3,3,2.04,2,1,1,2.17,3.44,4,4,4,1,2.75,5,3,3,2,3,3,3.32,3,3,5,3,null,"Medium risk","Very low risk","High risk","Medium risk","Low risk","High risk","Medium risk","Medium risk"]
["BLR","Belarus",2.99,2.61,1.3,2.02,3.19,"NA",3.22,2.67,2.16,2.96,2.94,4.18,2.71,1.1100000000000001,3.2,3,1,2,1,3.05,3,3.37,3.24,3.49,1,2.99,3.35,2.84,3.07,2.23,1,3.06,1.06,3.47,3,2.96,5,1,3.75,3,4,2.95,1,null,"Medium risk","Medium risk","Medium risk","Medium risk","Medium risk","Medium risk","High risk","High risk"]
["BMU","Bermuda","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",null,"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["BRN","Brunei Darussalam",3.27,3.11,1.01,1.23,4.97,"NA",3,1,2.0299999999999998,3,2.48,3,3.75,4.21,2.99,1,1,3.53,2,3.25,3,3.22,1.48,4.01,1,2.95,3.98,4.99,3.98,3.98,4.97,3.52,4.99,3,3,3,3,3,3.94,1,2,4.07,4,null,"Medium risk","Medium risk","High risk","Medium risk","Medium risk","Very High risk","Medium risk","High risk"]
["BVT","Bouvet Island","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",null,"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["CCK","Cocos Islands","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",null,"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["COK","Cook Islands","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",null,"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["CUB","Cuba",3.5,3.89,2.78,1.18,5,"NA",3.8,3.62,2.42,1.41,3.42,4.28,4.18,2.29,4.37,1,1,3.31,5,3,3,2.62,2.5099999999999998,3.1,2,1.07,3.58,3.82,3.49,3.48,3.09,2.58,4.9000000000000004,3.62,3,2.78,5,3,3.29,3,3,3.36,1,null,"High risk","High risk","High risk","Medium risk","Medium risk","High risk","High risk","Medium risk"]
["CUW","Curacao",2.92,4.5,2.6,4,5,"NA",2.75,3,1,1,2.75,1,2.75,2,2,1,1,3,4,3,3,1.62,1.5,1,2,1.33,3.5,4,4,4,3,3.25,5,3,3,2.6,3,3,3.5,1,3,5,3,null,"Very High risk","Medium risk","Medium risk","Medium risk","Very low risk","High risk","Medium risk","High risk"]
["CXR","Christmas Island","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",null,"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["CYM","Cayman Islands",2.75,4,2.71,5,3,"NA",1.73,1,1.37,1.73,2.3199999999999998,1,2.93,2,2.4700000000000002,1,1,3,5,3,3,2.0699999999999998,1,2.27,2,1.1200000000000001,3.38,4,4,4,1,3.68,5,3,3,2.71,3,3,3.13,1,3,2.06,3,null,"High risk","Very low risk","Medium risk","Medium risk","Low risk","High risk","Medium risk","Medium risk"]
["DJI","Djibouti",3.32,4.2699999999999996,2.82,3.99,4.54,"NA",4,4.96,2.46,4,2.58,1.01,3.42,3.14,2.27,3,1,4.79,2,3,3,1.9,1.49,1,1,2.94,3.54,3.01,1.73,2.54,1.1100000000000001,3.42,3.87,4.03,3,4.0199999999999996,4,3,3.59,3,4,2.44,3,null,"Very High risk","High risk","High risk","Medium risk","Low risk","Medium risk","High risk","High risk"]
["DT1","Aksai Chin (disputed)",3.22,4.0599999999999996,2.88,5,3,"NA",2.68,3.71,1.7,1.7,2.93,1,4.3099999999999996,4.4000000000000004,1.59,5,4,1,2,2.81,3,2.21,1.59,1,3,1.64,3,2.86,1,1.78,2.78,3.07,1.44,3.08,3,2.91,5,3,3.05,3,3,1,3,null,"High risk","Medium risk","Very High risk","Medium risk","Low risk","Medium risk","Medium risk","Medium risk"]
["DT2","Abyei (disputed)",3.33,3.06,2.15,3.03,3.09,"NA",4.0999999999999996,4.8099999999999996,3.64,4,3.14,2.4700000000000002,4.3899999999999997,1,4.8499999999999996,4,1,4.8099999999999996,1,3,3,2.11,1.68,1,1,2.82,3.31,2.2000000000000002,1.0900000000000001,1.0900000000000001,2.11,2.86,1.93,4.3899999999999997,3,4.63,5,3,3.35,3,3,1.18,3,null,"Medium risk","High risk","Very High risk","Medium risk","Low risk","Low risk","Very High risk","Medium risk"]
["DT3","Western Sahara (disputed)",2.98,4.2699999999999996,3.31,4.8099999999999996,3.44,"NA",3.93,5,1.28,3.93,2.61,2.34,2.2000000000000002,1.8,1.05,3,1,4.32,1,3.03,3,1.48,1.17,1,1,2.2799999999999998,2.7,1.77,1.78,1.4,1.1200000000000001,3.39,1.08,3.3,3,3.93,3,3,3.02,1,3,1.42,3,null,"Very High risk","High risk","Low risk","Medium risk","Very low risk","Very low risk","Medium risk","Medium risk"]
["DT4","Arunachal Pradesh (disputed)",3.38,3.69,1.75,4.03,3.35,"NA",3.69,3.96,3.25,3.41,2.19,1.57,3.79,4.91,3.03,4,2,1.41,2,2.88,3,2.84,1.46,2.3199999999999998,3,2.63,3.63,4.6500000000000004,1.19,3.97,4.7699999999999996,3.81,4.63,3.18,3,3.41,4,3,3.07,3,3,1.06,3,null,"High risk","High risk","High risk","Medium risk","Medium risk","Very High risk","Medium risk","Medium risk"]
["DZA","Algeria",3.23,4.1100000000000003,3.33,4.74,3.08,"NA",4.1100000000000003,5,1.64,3.96,2.34,2.56,2.7,1.85,1.4,3,1,3.66,1,3.02,3,2.23,1.35,1.05,2,2.54,3.05,1.8,1.38,1.79,1.34,3.66,1.2,3.93,3,4,4,1,3.43,3,4,1.73,2,"Algeria","High risk","High risk","Medium risk","Medium risk","Low risk","Very low risk","High risk","High risk"]
["ESP2","Canarias",2.82,4.2,3.4,3,5,"NA",3.5,4,2,1,3.5,1,1.75,2,5,3,1,1,1,3,3,1.62,2,1,1,1.5,3.53,4,4,4,3,2.5,5,3.1,3,3.4,3,3,3.5,3,3,5,3,null,"High risk","High risk","Very low risk","Medium risk","Very low risk","High risk","Medium risk","High risk"]
["FLK","Falkland Islands",2.2000000000000002,4,1.4,5,3,"NA",1,1,1,1,2.5,1,1.75,2,2,1,1,1,1,3,3,1.25,1,1,2,1,3.43,4,2,4,3,3.5,5,3,3,1.4,3,3,3.28,3,3,3.22,3,null,"High risk","Very low risk","Very low risk","Medium risk","Very low risk","High risk","Medium risk","Medium risk"]
["FRA2","Clipperton",2.64,4.0999999999999996,3.2,5,3,"NA",3,5,1,1,2.75,3,3,2,3,3,1,2,5,1,3,2.12,1,1,1,1.5,4.47,5,2,5,1,3.25,5,3.4,3,3.2,3,3,5,3,3,5,3,null,"High risk","Medium risk","Medium risk","Very low risk","Low risk","Very High risk","Medium risk","Very High risk"]
["FRO","Faroe Islands",2.0299999999999998,4,2.2000000000000002,5,3,"NA",1,1,1,1,2.5,1,1,2,1,1,1,1,1,3,3,1.17,1,1,1,1.67,3.17,3,2,3,1,3.5,2,3,3,2.2000000000000002,3,3,3.5,2,3,5,3,null,"High risk","Very low risk","Very low risk","Medium risk","Very low risk","Medium risk","Medium risk","High risk"]
["GEO","Georgia",3.54,3.64,2.2400000000000002,2.2400000000000002,4.71,"NA",2.9,1.1599999999999999,2.46,2.54,3.22,2.98,3.78,4.4800000000000004,3.19,4,2,1.63,1,4.93,5,2.44,2.36,1,1,2.79,3.11,3.64,3.12,3.66,3.68,2.78,3.02,3.26,3,3.94,2,2,2.4300000000000002,2,2,2.35,2,"Georgia","High risk","Medium risk","High risk","Very High risk","Low risk","High risk","Medium risk","Low risk"]
["GGY","Guernsey",3,4,1.4,3,5,"NA",3,3,1.5,2,3,3,2.75,2,2,1,1,1,1,2,3,3.25,3,1,1,2.83,3.37,3,3,3,1,3,2,2.25,3,2,3,3,4.8499999999999996,1,3,5,3,null,"High risk","Medium risk","Medium risk","Low risk","Medium risk","Medium risk","Low risk","Very High risk"]
["GIB","Gibraltar",3.21,4.3,3.6,1,5,"NA",3,3,2,2,3.75,3,3.75,4,3,1,1,2,1,1,3,4,2.5,4,1,2.67,4.38,5,5,5,3,2.25,2,3.15,3,3.6,3,3,4.9800000000000004,1,3,5,3,null,"Very High risk","Medium risk","High risk","Very low risk","High risk","Very High risk","Medium risk","Very High risk"]
["GLP","Guadeloupe",3.02,3.5,2,1,5,"NA",2,1,2,1,3.5,1,3.75,4,3,1,1,2,5,3,3,2.88,2.5,4,2,1.83,3.5,4,4,4,1,2.5,5,3,3,2,3,3,3.5,1,3,5,3,null,"High risk","Low risk","High risk","Medium risk","Medium risk","High risk","Medium risk","High risk"]
["GRL","Greenland",2.42,4,2.91,5,3,"NA",2.59,5,1,1,2.2999999999999998,2.1,1.03,2.2599999999999998,1.04,1,1,1,1,3,3,1.47,1,2.86,1,1,2.56,2.37,2.89,1.1000000000000001,1,3.7,1,3,3,2.91,3,3,2.2999999999999998,2,2,1.1599999999999999,3,null,"High risk","Low risk","Very low risk","Medium risk","Very low risk","Low risk","Medium risk","Low risk"]
["GUF","French Guiana",2.77,3.89,1.72,4.33,3.43,"NA",3.04,4.93,1.64,3,1.55,1.01,2.2799999999999998,2.06,2.0499999999999998,1,1,3,2,2.93,3,1.69,1.1200000000000001,1.56,1,2.09,3.46,4.62,3.95,3.86,4.9800000000000004,4.45,3.47,3.07,3,3,3,3,2.69,2,2,2.0299999999999998,3,null,{"$f":"IF(D205=\"NA\",\"Data not available\",IF(D205>$I$3,$J$3,IF(D205>$I$4,$J$4,IF(D205>$I$5,$J$5,IF(D205>$I$6,$J$6,$J$7)))))","v":"High risk"},{"$f":"IF(I205=\"NA\",\"Data not available\",IF(I205>$I$3,$J$3,IF(I205>$I$4,$J$4,IF(I205>$I$5,$J$5,IF(I205>$I$6,$J$6,$J$7)))))","v":"Medium risk"},{"$f":"IF(O205=\"NA\",\"Data not available\",IF(O205>$I$3,$J$3,IF(O205>$I$4,$J$4,IF(O205>$I$5,$J$5,IF(O205>$I$6,$J$6,$J$7)))))","v":"Low risk"},{"$f":"IF(V205=\"NA\",\"Data not available\",IF(V205>$I$3,$J$3,IF(V205>$I$4,$J$4,IF(V205>$I$5,$J$5,IF(V205>$I$6,$J$6,$J$7)))))","v":"Medium risk"},{"$f":"IF(X205=\"NA\",\"Data not available\",IF(X205>$I$3,$J$3,IF(X205>$I$4,$J$4,IF(X205>$I$5,$J$5,IF(X205>$I$6,$J$6,$J$7)))))","v":"Very low risk"},{"$f":"IF(AD205=\"NA\",\"Data not available\",IF(AD205>$I$3,$J$3,IF(AD205>$I$4,$J$4,IF(AD205>$I$5,$J$5,IF(AD205>$I$6,$J$6,$J$7)))))","v":"Very High risk"},{"$f":"IF(AJ205=\"NA\",\"Data not available\",IF(AJ205>$I$3,$J$3,IF(AJ205>$I$4,$J$4,IF(AJ205>$I$5,$J$5,IF(AJ205>$I$6,$J$6,$J$7)))))","v":"Medium risk"},{"$f":"IF(AO205=\"NA\",\"Data not available\",IF(AO205>$I$3,$J$3,IF(AO205>$I$4,$J$4,IF(AO205>$I$5,$J$5,IF(AO205>$I$6,$J$6,$J$7)))))","v":"Medium risk"}]
["GUM","Guam",3.4,5,3,5,5,"NA",2,2,2,1,2.75,1,3.75,2,4,1,1,3,5,3,3,3.25,1,3,4,1,3.08,4,2,4,1,3.25,5,3,3,3,3,3,2.25,1,2,1,3,null,"Very High risk","Low risk","High risk","Medium risk","Medium risk","High risk","Medium risk","Low risk"]
["HMD","Heard Island and McDonald Islands","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",null,"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["IMN","Isle of Man",2.25,4,1.8,3,5,"NA",1,1,1,1,3.75,1,1.75,2,2,1,1,1,1,3,3,1.5,3,1,1,1,2.92,2.25,2,3,1,2.25,2,3,3,1.8,3,3,3.5,2,3,5,3,null,"High risk","Very low risk","Very low risk","Medium risk","Very low risk","Low risk","Medium risk","High risk"]
["IOT","British Indian Ocean Territory","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",null,"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["IRN","Iran",3.55,4.2,3.46,4.18,3.86,"NA",4.0999999999999996,4.76,2.31,3.94,2.99,2.97,3.92,3.54,2.2200000000000002,5,3,3.08,1.9,3.01,3,2.5,2.15,1,2,2.83,3.2,2.42,2.0099999999999998,1.96,1.41,3.01,1.78,4.3600000000000003,3,4.1500000000000004,5,3,2.84,2,4,1.7,2,null,"High risk","High risk","High risk","Medium risk","Low risk","Low risk","Very High risk","Medium risk"]
["IRQ","Iraq",3.39,4.03,3.43,4.32,3.36,"NA",3.89,4.68,2.13,3.59,3.2,2.1800000000000002,3.22,1.76,2.92,3,1,4.4000000000000004,1.0900000000000001,3.06,3,2.74,2.64,1,2,2.86,3.48,2.34,1.78,2.48,1.49,2.8,1.45,3.83,3,3.78,4,1,4.28,4,4,1.51,5,null,"High risk","High risk","Medium risk","Medium risk","Medium risk","Low risk","High risk","Very High risk"]
["ISR","Israel",4.12,4.5599999999999996,3.56,4.0199999999999996,4.87,"NA",4.3600000000000003,4.9000000000000004,2.12,3.59,3.52,3.52,3.72,2.87,2.56,3,4,3.89,1,4.83,5,3.12,2.42,1.06,3,4.1100000000000003,3.7,3.78,2.92,3.92,2.23,2.48,4.07,3.4,3,3.93,2,3,3.93,4,2,3.76,3,null,"Very High risk","Very High risk","High risk","Very High risk","Medium risk","High risk","Medium risk","High risk"]
["JEY","Jersey",3,4,1.4,3,5,"NA",3,3,1.5,2,3,3,2.75,2,2,1,1,1,1,2,3,3.25,3,1,1,2.83,3.37,3,3,3,1,3,2,2.25,3,2,3,3,4.8499999999999996,1,2,5,3,null,"High risk","Medium risk","Medium risk","Low risk","Medium risk","Medium risk","Low risk","Very High risk"]
["JOR","Jordan",3.66,4.3099999999999996,3.59,4.4800000000000004,3.69,"NA",3.92,4.93,1.77,3.77,2.99,2.3199999999999998,2.82,2.0099999999999998,1.59,3,2,3.56,1,4.8899999999999997,5,2.39,1.75,1,2,3.12,3.52,2.94,2.5,3.06,2.0699999999999998,3.01,1.59,3.97,3,3.98,4,2,3.66,3,3,2.48,4,null,"Very High risk","High risk","Medium risk","Very High risk","Low risk","Medium risk","High risk","High risk"]
["KOR","South Korea",3.18,3.43,2.36,2.1,4.25,"NA",3.53,1.3,2.87,3.3,3.28,4.67,3.81,3.84,2.98,3,2,3.02,5,2.0299999999999998,2,3.11,2.2400000000000002,2.92,2,3.74,3.38,3.09,3.55,2.36,1,2.72,3.09,3.08,3,3.3,1,2,3.98,5,2,3.43,1,null,"High risk","High risk","High risk","Low risk","Medium risk","Medium risk","Medium risk","High risk"]
["KWT","Kuwait",3.69,4.32,3.77,4.3499999999999996,3.9,"NA",4.05,5,1.46,4,2.92,2.19,3.1,1.46,3.29,2,1,5,2,4.87,5,2.08,1.53,1,1,3.26,3.37,2.91,3.14,2.34,2.25,3.08,2,4.05,3,4,4,3,3.15,2,3,1.49,3,null,"Very High risk","High risk","Medium risk","Very High risk","Low risk","Medium risk","High risk","Medium risk"]
["LBY","Libya",3.15,4.29,3.61,4.8600000000000003,3.13,"NA",4.18,5,1.1200000000000001,4.1500000000000004,2.11,2.4300000000000002,2.71,1.75,1.25,3,1,3.32,1,3.03,3,1.55,1.2,1,1,2.58,2.98,1.34,1.06,1.33,1.1599999999999999,3.89,1.1200000000000001,4.05,3,4.1900000000000004,4,3,3.56,3,5,1.17,3,null,"Very High risk","High risk","Medium risk","Medium risk","Very low risk","Very low risk","High risk","High risk"]
["LIE","Liechtenstein",3.3,3,1.8,3,3,"NA",3.34,1,2,2,3.5,3.68,2.2599999999999998,5,1,1,1,1,1,5,3,2.88,2.5,2,1,3,2.94,3,4,1,3,2.5,2,2.25,3,2,3,3,3.58,1,1,3.73,3,null,"Medium risk","Medium risk","Low risk","Very High risk","Medium risk","Medium risk","Low risk","High risk"]
["MAF","Saint Martin",2.71,3,2,3,3,"NA",1.5,1,1.5,1,3.25,1,4,4,4,1,1,2,5,3,3,2.04,2,1,1,2.17,3.44,4,4,4,1,2.75,5,3,3,2,3,3,3.32,3,3,5,3,null,"Medium risk","Very low risk","High risk","Medium risk","Low risk","High risk","Medium risk","Medium risk"]
["MCO","Monaco",3.44,4,1.8,3,5,"NA",3,3,2,2,2.5,3,4.5,5,3,3,1,2,1,1.96,3,3.75,1.5,2,1,3.67,3.41,3,3,1,3,3.5,2,2.25,3,2,3,3,4.9800000000000004,1,2,5,3,null,"High risk","Medium risk","Very High risk","Low risk","High risk","Medium risk","Low risk","Very High risk"]
["MDA","Moldova",3.39,3.34,1.59,3.04,3.64,"NA",3.82,3.17,2.68,2.84,3.58,5,2.2200000000000002,1.99,3.62,2,1,2.0299999999999998,1,4.49,5,3.09,3.23,1,1,3.32,3.15,2.67,2.58,1.94,2.46,2.42,1.1299999999999999,3,3,2.94,1,1,3.77,1,3,3.58,4,"Moldova","Medium risk","High risk","Low risk","Very High risk","Medium risk","Medium risk","Medium risk","High risk"]
["MKD","North Macedonia",3.34,2.73,2.19,1.98,3.19,"NA",3.01,1.89,2.15,3,3.64,3.01,3.13,3.54,3.9,2,1,2.06,1,5,5,2.84,2.57,2.11,1,3.38,2.92,3.27,3.04,3.62,3,2.36,2,3,3,3,3,2,2.4900000000000002,1,3,1.78,2,null,"Medium risk","Medium risk","Medium risk","Very High risk","Medium risk","Medium risk","Medium risk","Low risk"]
["MNE","Montenegro",3.48,3.05,1.99,1.74,4,"NA",3.01,1,2.52,3,3.54,3.01,3.45,4.05,4.13,3,1,1.52,1,4.95,5,2.93,2.5499999999999998,1.59,1,3.69,3.26,3.28,3.46,2.98,3,2.46,2.2999999999999998,3,3,3,2,3,3.51,2,3,4.33,2,null,"Medium risk","Medium risk","High risk","Very High risk","Medium risk","Medium risk","Medium risk","High risk"]
["MNP","Northern Mariana Islands",3.4,5,3,5,5,"NA",2,2,2,1,2.75,1,3.75,2,4,1,1,3,5,3,3,3.25,1,3,3,1,3.08,4,2,4,1,3.25,5,3,3,3,3,3,2.25,2,3,1,3,null,"Very High risk","Low risk","High risk","Medium risk","Medium risk","High risk","Medium risk","Low risk"]
["MSR","Montserrat",3,4,2,3,5,"NA",2,1,2,1,3.25,1,3.75,4,3,1,1,2,5,3,3,2.25,2.5,2,2,2.17,3.5,4,3,4,1,2.75,5,3,3,2,3,3,3.5,3,3,5,3,null,"High risk","Low risk","High risk","Medium risk","Low risk","High risk","Medium risk","High risk"]
["MTQ","Martinique",2.96,4,3,3,5,"NA",2,1,2,1,2.75,1,2.75,2,3,1,1,2,5,3,3,3.04,2,3,2,3.17,3.33,4,4,4,1,3.25,5,3,3,3,3,3,2.99,1,2,5,3,null,"High risk","Low risk","Medium risk","Medium risk","Medium risk","High risk","Medium risk","Medium risk"]
["MYT","Mayotte",2.95,4,1.8,5,3,"NA",1.5,1,1.5,1,2.25,1,3.75,4,3,2,1,2,4,3,3,2.5,1,3,2,2.33,4.33,4,3,4,1,3.75,5,4,3,1.8,3,3,5,3,3,5,3,null,"High risk","Very low risk","High risk","Medium risk","Low risk","High risk","High risk","Very High risk"]
["NCL","New Caledonia",2.75,3.6,2.19,1.34,4.79,"NA",1.27,1,1.5,1,1.36,1,3.41,2,3.85,1,1,2.0699999999999998,5,3,3,2.48,1,1.94,4,1.5,3.7,4.66,2.77,3.93,3,4.6399999999999997,5,3,3,2.19,3,3,3.44,2,3,4.54,3,null,"High risk","Very low risk","High risk","Medium risk","Low risk","Very High risk","Medium risk","High risk"]
["NFK","Norfolk Island",2.25,4,2.6,5,3,"NA",1,1,1,1,2.75,1,2,2,1,1,1,2,4,3,3,1.25,1,1,2,1,3.67,5,4,5,3,3.25,5,3,3,2.6,3,3,3,3,3,1,3,null,"High risk","Very low risk","Low risk","Medium risk","Very low risk","Very High risk","Medium risk","Medium risk"]
["NRU","Nauru",2.62,4,2.6,5,3,"NA",1.5,1,1.5,1,2.75,1,2.75,2,1,1,1,3,3,3,3,1.88,1,1,2,1.5,3.58,3.25,2,3,1,3.25,5,3.25,3,4,3,2,4.2300000000000004,2,2,5,5,null,"High risk","Very low risk","Medium risk","Medium risk","Low risk","Medium risk","Medium risk","Very High risk"]
["OMN","Oman",3.39,4.28,3.58,4.45,3.8,"NA",4.76,5,2.0099999999999998,4.76,2.4900000000000002,2.2799999999999998,2.99,2,1.87,3,1,4.96,2.27,3.12,3,1.8,1.1399999999999999,1,1,3.73,3.37,2.75,1.92,2.2200000000000002,2.13,3.51,1.96,4.2300000000000004,3,4.8,4,3,3.14,1,3,2.0299999999999998,3,null,"Very High risk","Very High risk","Medium risk","Medium risk","Very low risk","Medium risk","Very High risk","Medium risk"]
["PCN","Pitcairn","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",null,"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["PLW","Palau",2.8,4,2.6,5,3,"NA",1,1,1,1,2.75,1,3.75,4,2,1,1,3,5,3,3,2.25,1,2,3,1.83,3.65,4,2,4,1,3.25,5,3,3,2.6,3,3,3.96,3,2,5,3,null,"High risk","Very low risk","High risk","Medium risk","Low risk","High risk","Medium risk","High risk"]
["PRI","Puerto Rico",3.29,3.51,2,2.0299999999999998,5,"NA",2.98,2.99,2.48,1,3.01,2.95,3.75,4,2.99,1,1,2.0299999999999998,5,3,3,3.22,2.4900000000000002,3.96,3,1.82,3.5,4.01,3.02,4.01,3,2.99,5,3,3,2,3,3,3.5,3,3,4.97,3,null,"High risk","Medium risk","High risk","Medium risk","Medium risk","High risk","Medium risk","High risk"]
["PRK","North Korea",3.13,3.51,1.7,2.19,4.76,"NA",3.22,1.19,2.48,3.17,3.2,3.53,3.39,2.73,3.11,3,1,2.13,4.7699999999999996,2.88,3,2.66,2.59,2.5099999999999998,2,2.19,3.29,2.5499999999999998,1.3,2.5299999999999998,1.06,2.8,2.3199999999999998,3.58,3,3.17,5,3,3.73,1,5,1.96,3,null,"High risk","Medium risk","Medium risk","Medium risk","Medium risk","Low risk","High risk","High risk"]
["PRT2","Azores","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",null,"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["PRT3","Madeira",2.82,4.2,3.4,3,5,"NA",3.5,4,2,1,3.5,1,1.75,2,5,3,1,1,1,3,3,1.62,2,1,1,1.5,3.53,4,4,4,3,2.5,5,3.1,3,3.4,3,3,3.5,3,3,5,3,null,"High risk","High risk","Very low risk","Medium risk","Very low risk","High risk","Medium risk","High risk"]
["PSE","Palestinian Territory",4.05,4.59,3.72,3.75,5,"NA",4.4000000000000004,4.41,2.29,3.6,3.58,4.97,3.66,3.64,3.06,1,1,4.12,1,4.43,3,3.17,2.59,1.1200000000000001,1,4.5,3.78,3.74,2.4500000000000002,3.82,3,2.42,4.29,3.51,3,4.16,3,3,4.08,4,4,4.5999999999999996,3,null,"Very High risk","Very High risk","High risk","Very High risk","Medium risk","High risk","High risk","High risk"]
["PYF","French Polynesia","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",null,"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["QAT","Qatar",3.53,4.3,3.66,4.1399999999999997,4.29,"NA",4.04,5,1.22,4.04,2.5299999999999998,1,2.73,1.63,2.74,2,1,5,2,5,5,1.58,1,1,1,3.11,3.5,3.21,2.86,2.16,1,3.47,2.66,4.04,3,4.04,4,3,3.26,4,2,2.66,2,null,"Very High risk","High risk","Medium risk","Very High risk","Very low risk","Medium risk","High risk","Medium risk"]
["REU","Réunion","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",null,"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["RUS","Russian Federation",2.93,3.73,1.36,4.37,3.08,"NA",2.2999999999999998,1.91,2.08,2.1,2.1,1.47,2.92,1.98,2.98,4,2,1.47,1.21,3.01,3,2.7,1.49,2.58,3,1.62,3.71,3.31,2.2000000000000002,1.67,3.03,3.9,1.04,3.53,3,2.42,5,2,4.29,5,4,1.25,3,null,"High risk","Low risk","Medium risk","Medium risk","Medium risk","Medium risk","High risk","Very High risk"]
["SAU","Saudi Arabia",3.72,4.2300000000000004,3.65,4.7,3.15,"NA",4.41,5,1.76,4.38,2.69,2.15,2.78,1.83,1.5,3,2,4.05,1.5,4.99,5,2.2000000000000002,1.34,1,2,2.7,3.28,1.94,1.81,1.42,1.29,3.31,1.17,4.59,3,4.47,5,3,3.32,4,3,1.17,3,null,"Very High risk","Very High risk","Medium risk","Very High risk","Low risk","Low risk","Very High risk","Medium risk"]
["SGP","Singapore",3.79,3.61,2.2000000000000002,2.04,5,"NA",4,1,2.5,4,3.24,5,3.03,2,3.07,2,1,3,2,4.22,5,4.12,2,5,2,3.82,3.38,3,2,3,3,2.76,4.93,3.25,3,4,3,3,3.89,2,1,4.8600000000000003,1,null,"High risk","High risk","Medium risk","Very High risk","High risk","Medium risk","Medium risk","High risk"]
["SGS","South Georgia and South Sandwich Islands","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",null,"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["SHN","Saint Helena","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",null,"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["SMR","San Marino",3.24,3.6,2.2000000000000002,2,5,"NA",4,4,2,3,3.25,5,3.75,4,3,1,1,2,1,1,3,3.87,2.5,1,1,3.83,3.67,3,3,2,3,2.75,2,3,3,3,3,3,5,3,2,5,3,null,"High risk","High risk","High risk","Very low risk","High risk","Medium risk","Medium risk","Very High risk"]
["SPM","Saint Pierre and Miquelon",2.83,3.5,1.8,4,3,"NA",2,2,1.5,1,2,1,4.25,2,2,1,1,1,5,2,3,2.38,1,1,1,1.83,2.75,4,2,3,5,4,1,2.25,3,2,3,3,2,3,3,1,3,null,"High risk","Low risk","Very High risk","Low risk","Low risk","High risk","Low risk","Low risk"]
["SRB","Serbia",3.47,2.93,1.61,2.12,3.58,"NA",3.69,1.96,2.75,3.01,3.77,4.12,3.08,3,3.69,3,2,2.12,1,4.9800000000000004,5,2.66,3.19,1.59,1,2.5099999999999998,2.99,2.74,2.6,2.37,2.15,2.23,1.26,3,3,3.01,3,2,3.21,3,3,2.95,3,null,"Medium risk","High risk","Medium risk","Very High risk","Medium risk","Medium risk","Medium risk","Medium risk"]
["SUR","Suriname",2.91,3.73,1.36,4.3099999999999996,3.13,"NA",3.05,4.96,2.15,2.89,1.6,1.1000000000000001,2.2999999999999998,1.91,2.2200000000000002,1,1,2.98,2,3,3,2.48,1.18,1.65,2,3.02,3.59,4.66,2.58,3.48,4.8600000000000003,4.4000000000000004,3.3,3,3,2.89,2,3,3.1,2,3,1.98,3,null,"High risk","Medium risk","Low risk","Medium risk","Low risk","Very High risk","Medium risk","Medium risk"]
["SXM","Sint Maarten",2.71,3,2,3,3,"NA",1.5,1,1.5,1,3.25,1,4,4,4,1,1,2,5,3,3,2.04,2,1,1,2.17,3.44,4,4,4,1,2.75,5,3,3,2,3,3,3.32,3,3,5,3,null,"Medium risk","Very low risk","High risk","Medium risk","Low risk","High risk","Medium risk","Medium risk"]
["SYR","Syria",3.3,4.01,3.43,4.1399999999999997,3.55,"NA",3.99,4.57,1.79,3.22,3.54,3.49,2.87,2.0699999999999998,3.01,2,2,3.72,1,3.09,3,2.56,2.63,1.08,2,2.58,3.51,2.62,1.1299999999999999,3.03,2.1800000000000002,2.46,1.95,3.97,3,3.64,5,3,3.95,3,5,2.1800000000000002,2,null,"High risk","High risk","Medium risk","Medium risk","Low risk","Medium risk","High risk","High risk"]
["TCA","Turks and Caicos Islands",2.2999999999999998,3.5,2.6,4,3,"NA",1,1,1,1,2.25,1,2.75,1,3,1,1,2,5,3,3,1.25,1,1,2,1,3.83,5,5,5,1,3.75,5,3,3,2.6,3,3,3.5,3,3,5,3,null,"High risk","Very low risk","Medium risk","Medium risk","Very low risk","Very High risk","Medium risk","High risk"]
["TKL","Tokelau","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",null,"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["TKM","Turkmenistan",3.23,3.85,3.05,4.34,3.22,"NA",4.2,5,1.56,3.99,3.55,2.12,2.6,2.16,2.38,2,1,3.95,1.52,3.02,3,2.4700000000000002,2.33,1,1,3.14,3.45,2.75,1.82,2.5099999999999998,2.85,2.4500000000000002,1.33,4.25,3,4.01,5,3,3.34,3,4,1.5,3,"Turkmenistan","High risk","High risk","Low risk","Medium risk","Low risk","Medium risk","Very High risk","Medium risk"]
["TUN","Tunisia",3.65,4.12,3.4,4.0199999999999996,3.9,"NA",3.88,5,1.79,3.29,3.13,2.65,2.85,1.9,2.11,3,2,4.1500000000000004,1,4.8,5,2.6,2.12,1.1599999999999999,2,3.06,3.42,2.94,2.25,2.71,2.36,2.87,2.08,3.25,3,3.65,3,2,4.0599999999999996,4,3,3.57,4,"Tunisia","High risk","High risk","Medium risk","Very High risk","Low risk","Medium risk","Medium risk","High risk"]
["UMI","United States Minor Outlying Islands",2.64,4,2.76,5,3,"NA",1.3,1,1.3,1,2.75,1,2.75,2,1,1,1,3,3.81,3,3,2.13,1,2.2200000000000002,2,1.3,3.38,3.25,1.59,2.19,1,3.25,4.59,3.15,3,3.59,3,3,3.73,3,3,3.38,3,null,"High risk","Very low risk","Medium risk","Medium risk","Low risk","Medium risk","Medium risk","High risk"]
["VAT","Vatican City",3.5,4.5,2,4,5,"NA",4.25,3,3.5,3,4.25,5,3.75,2,4,1,1,3,1,1,3,4,3,1,1,4,3.67,3,4,1,3,1.75,2,3,3,3,3,3,5,3,3,5,3,null,"Very High risk","Very High risk","High risk","Very low risk","High risk","Medium risk","Medium risk","Very High risk"]
["VCT","Saint Vincent and the Grenadines",2.96,4,3,3,5,"NA",2,1,2,1,2.75,1,2.75,2,3,1,1,2,5,3,3,3.04,2,3,1,3.17,3.33,4,4,4,1,3.25,5,3,3,3,3,3,2.99,1,2,5,3,null,"High risk","Low risk","Medium risk","Medium risk","Medium risk","High risk","Medium risk","Medium risk"]
["VGB","British Virgin Islands",3,4,2,3,5,"NA",2,2,2,1,3.25,1,3.75,4,3,1,1,3,5,3,3,2.25,2,3,2,1.17,3.5,4,4,4,3,2.75,5,3,3,2,3,3,3.5,1,3,5,3,null,"High risk","Low risk","High risk","Medium risk","Low risk","High risk","Medium risk","High risk"]
["VIR","US Virgin Islands",3,4,2,3,5,"NA",2,2,2,1,3.25,1,3.75,4,3,1,1,3,5,3,3,2.25,2,3,2,1.17,3.5,4,4,4,3,2.75,5,3,3,2,3,3,3.5,3,3,5,3,null,"High risk","Low risk","High risk","Medium risk","Low risk","High risk","Medium risk","High risk"]
["WLF","Wallis and Futuna","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",null,"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]

{"sheet":"WWF-BioDiv-CountryRank","index":88,"n_rows":258,"n_cols":49,"rows_kept":258,"cut":false,"hidden":true,"merged":[[5,0,5,1]]}
["WWF Biodiversity Country Rank"]
["Source:","WWF Biodiversity Risk Filter - Country Profiles"]
["Accessed:","2025-01-01"]
[]
[null,"Number of countries",{"$f":"MAX(C8:C258)","v":115},{"$f":"MAX(D8:D258)","v":118},134,142,107,0,137,125,118,113,133,130,123,131,143,5,5,128,59,81,5,136,128,125,5,140,109,133,141,114,133,140,107,1,126,5,5,120,5]
["Country Rank 2024",null,"Scape Physical Risk","1. Provisioning Services","1.1 Water Availability","1.2 Forest Productivity and Distance to Markets","1.3 Limited Wild Flora & Fauna Availability","1.4 Limited Marine Fish Availability","2. Regulating & Supporting Services - Enabling","2.1 Soil Condition","2.2 Water Condition","2.3 Air Condition","2.4 Ecosystem Condition","2.5 Pollination","3. Regulating Services - Mitigating ","3.1 Landslides","3.2 Wildfire Hazard ","3.3 Plant/Forest/Aquatic Pests and Diseases","3.4 Herbicide Resistance","3.5 Extreme Heat","3.6 Tropical Cyclones","4. Cultural Services","4.1 Natural & Cultural Resources","5. Pressures on Biodiversity","5.1 Land, Freshwater and Sea Use Change","5.2 Forest Canopy Loss","5.3 Invasives","5.4 Pollution","Scape Reputational Risk","6. Environmental Factors","6.1 Protected/Conserved Areas","6.2 Key Biodiversity Areas","6.3 Other Important Delineated Areas","6.4 Ecosystem Condition","6.5 Range Rarity","7. Socioeconomic Factors","7.1 Indigenous Peoples (IPs); Local Communities (LCs) Lands and Territories","7.2 Resource Scarcity: Food - Water - Air","7.3 Labor/Human Rights","7.4 Financial Inequality","8. Additional Reputational Factors"]
["ISO3Code","Country","SPH","SRC1","S1_1","S1_2","S1_3","S1_4","SRC2","S2_1","S2_2","S2_3","S2_4","S2_5","SRC3","S3_1","S3_2","S3_3","S3_4","S3_5","S3_6","SRC4","S4_1","SRC5","S5_1","S5_2","S5_3","S5_4","SRP","SRC6","S6_1","S6_2","S6_3","S6_4","S6_5","SRC7","S7_1","S7_2","S7_3","S7_4","SRC8","IFC Country"]
["AGO","Angola",68,67,41,102,18,"NA",55,104,42,58,24,8,38,23,131,3,1,34,9,77,5,38,29,61,1,37,83,17,22,39,110,67,107,1,124,4,5,43,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B8,CountryMapping[WWF risk profile country],0)),\"\")","v":"Angola"},null,null,null,null,null,"Row Labels","Count of Country"]
["ATG","Antigua and Barbuda",33,93,59,76,107,"NA",13,1,38,1,93,1,88,111,69,1,1,30,59,20,3,36,83,41,2,31,59,85,131,1,41,140,26,1,11,3,3,60,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B9,CountryMapping[WWF risk profile country],0)),\"\")","v":"Antigua and Barbuda"},null,null,null,null,null,1,1]
["ARG","Argentina",62,54,74,85,40,"NA",52,73,45,9,68,49,53,32,75,1,3,66,1,46,4,74,68,28,3,52,45,29,58,27,66,73,42,1,56,2,4,70,5,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B10,CountryMapping[WWF risk profile country],0)),\"\")","v":"Argentina"},null,null,null,null,null,2,1]
["AUS","Australia",26,81,89,112,15,"NA",35,111,39,6,58,11,114,13,91,2,5,106,39,1,1,67,22,19,5,11,4,58,22,60,76,49,18,1,39,1,2,6,5,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B11,CountryMapping[WWF risk profile country],0)),\"\")","v":"Australia"},null,null,null,null,null,3,1]
["AUT","Austria",46,6,45,50,1,"NA",44,15,84,33,87,93,12,102,19,1,2,17,1,61,5,87,88,92,2,82,32,103,49,52,47,31,14,1,29,1,1,81,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B12,CountryMapping[WWF risk profile country],0)),\"\")","v":"Austria"},null,null,null,null,null,4,1]
["BHS","Bahamas",54,97,80,93,82,"NA",27,125,35,1,49,1,76,1,85,1,1,73,59,20,3,75,1,52,3,72,24,66,124,1,85,132,26,1,31,3,3,7,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B13,CountryMapping[WWF risk profile country],0)),\"\")","v":"Bahamas"},null,null,null,null,null,5,1]
["BGD","Bangladesh",111,72,87,26,89,"NA",130,47,118,110,61,114,85,64,62,3,1,122,42,56,5,95,55,32,2,139,80,20,64,42,73,73,88,1,118,4,2,86,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B14,CountryMapping[WWF risk profile country],0)),\"\")","v":"Bangladesh"},null,null,null,null,null,6,1]
["BRB","Barbados",29,93,105,76,107,"NA",13,1,38,1,56,1,37,44,69,1,1,30,59,20,3,83,56,81,2,98,44,126,131,1,78,140,26,1,53,1,3,21,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B15,CountryMapping[WWF risk profile country],0)),\"\")","v":"Barbados"},null,null,null,null,null,7,1]
["BEL","Belgium",59,29,65,75,19,"NA",79,31,57,38,122,120,21,38,43,2,3,24,1,38,4,119,121,56,2,117,36,98,54,1,12,15,17,1,36,1,1,110,5,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B16,CountryMapping[WWF risk profile country],0)),\"\")","v":"Belgium"},null,null,null,null,null,8,1]
["BLZ","Belize",64,35,12,5,107,"NA",20,3,60,23,10,74,111,45,124,1,1,102,51,29,3,131,21,119,1,119,94,119,139,96,124,129,58,1,18,3,5,60,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B17,CountryMapping[WWF risk profile country],0)),\"\")","v":"Belize"},null,null,null,null,null,9,1]
["BEN","Benin",111,31,35,73,30,"NA",129,109,78,113,31,74,88,26,127,2,1,116,1,75,5,109,97,90,2,111,47,87,63,10,103,57,59,1,126,3,3,44,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B18,CountryMapping[WWF risk profile country],0)),\"\")","v":"Benin"},null,null,null,null,null,10,1]
["BTN","Bhutan",37,71,41,72,78,"NA",81,29,109,84,17,83,52,117,71,2,1,13,22,13,3,32,37,20,1,95,49,128,131,107,117,128,51,1,82,3,3,1,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B19,CountryMapping[WWF risk profile country],0)),\"\")","v":"Bhutan"},null,null,null,null,null,11,1]
["BOL","Bolivia",51,41,39,67,46,"NA",47,64,103,46,13,26,54,67,109,1,2,65,1,41,4,56,36,74,2,38,86,53,89,101,121,96,42,1,42,3,4,99,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B20,CountryMapping[WWF risk profile country],0)),\"\")","v":"Bolivia (Plurinational State of)"},null,null,null,null,null,12,1]
["BIH","Bosnia and Herzegovina",65,9,31,10,52,"NA",56,33,74,59,74,88,67,103,98,2,1,33,1,73,5,51,69,16,1,107,32,57,35,55,60,30,26,1,53,3,2,67,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B21,CountryMapping[WWF risk profile country],0)),\"\")","v":"Bosnia and Herzegovina"},null,null,null,null,null,13,1]
["BWA","Botswana",53,70,108,101,6,"NA",28,125,31,22,41,5,40,6,105,3,1,49,22,75,5,21,23,1,2,21,63,75,79,16,93,46,92,1,92,2,5,29,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B22,CountryMapping[WWF risk profile country],0)),\"\")","v":"Botswana"},null,null,null,null,null,14,1]
["BRA","Brazil",46,46,56,62,47,"NA",69,89,77,29,34,40,86,40,98,2,5,75,5,9,2,100,60,88,3,82,99,57,44,89,100,78,75,1,56,4,4,108,5,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B23,CountryMapping[WWF risk profile country],0)),\"\")","v":"Brazil"},null,null,null,null,null,15,2]
["BGR","Bulgaria",86,20,46,48,36,"NA",88,91,85,59,115,98,47,73,86,3,2,42,1,79,5,104,119,35,2,110,23,114,105,70,19,37,27,1,54,1,3,20,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B24,CountryMapping[WWF risk profile country],0)),\"\")","v":"Bulgaria"},null,null,null,null,null,16,1]
["BFA","Burkina Faso",75,27,67,86,2,"NA",122,123,71,102,90,74,82,24,99,3,1,126,1,31,3,85,112,16,2,98,22,60,13,2,44,44,79,1,107,3,4,13,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B25,CountryMapping[WWF risk profile country],0)),\"\")","v":"Burkina Faso"},null,null,null,null,null,17,1]
["BDI","Burundi",49,40,5,37,82,"NA",65,34,95,66,30,106,64,83,96,3,1,7,22,34,3,75,89,59,2,88,79,41,80,70,104,116,66,1,70,5,3,72,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B26,CountryMapping[WWF risk profile country],0)),\"\")","v":"Burundi"},null,null,null,null,null,18,1]
["CPV","Cabo Verde","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B27,CountryMapping[WWF risk profile country],0)),\"\")","v":"Cabo Verde"},null,null,null,null,null,19,8]
["KHM","Cambodia",109,66,63,51,90,"NA",78,82,114,62,58,59,106,53,129,4,1,97,43,72,5,118,109,117,2,79,102,125,123,78,76,108,90,1,90,5,3,90,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B28,CountryMapping[WWF risk profile country],0)),\"\")","v":"Cambodia"},null,null,null,null,null,20,1]
["CMR","Cameroon",81,28,24,30,64,"NA",69,55,34,99,32,50,63,57,116,3,1,74,1,78,5,82,45,67,2,100,93,51,59,83,102,96,83,1,105,4,4,90,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B29,CountryMapping[WWF risk profile country],0)),\"\")","v":"Cameroon"},null,null,null,null,null,21,1]
["CAN","Canada",10,78,19,129,3,"NA",11,28,14,3,28,8,24,44,30,1,5,8,14,7,2,82,29,55,4,12,2,46,7,81,106,6,6,1,13,1,2,4,5,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B30,CountryMapping[WWF risk profile country],0)),\"\")","v":"Canada"},null,null,null,null,null,22,1]
["CAF","Central African Republic",36,37,30,90,1,"NA",92,84,29,94,9,7,65,19,141,2,1,87,1,23,3,23,6,38,1,50,92,39,33,73,125,56,107,1,124,4,5,50,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B31,CountryMapping[WWF risk profile country],0)),\"\")","v":"Central African Republic"},null,null,null,null,null,23,4]
["TCD","Chad",89,81,95,124,1,"NA",128,124,41,104,21,42,61,14,41,3,1,110,1,71,5,16,30,12,1,46,57,26,24,19,113,17,99,1,108,5,3,60,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B32,CountryMapping[WWF risk profile country],0)),\"\")","v":"Chad"},null,null,null,null,null,24,2]
["CHL","Chile",70,102,94,96,66,"NA",18,45,32,10,23,18,30,95,29,3,3,3,1,77,5,74,36,29,3,70,58,74,62,92,111,90,52,1,47,1,4,33,5,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B33,CountryMapping[WWF risk profile country],0)),\"\")","v":"Chile"},null,null,null,null,null,25,1]
["CHN","China",47,73,74,95,39,"NA",89,76,64,72,98,70,106,78,48,5,4,45,34,3,1,96,79,21,3,108,54,10,52,46,36,43,82,1,72,5,3,69,5,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B34,CountryMapping[WWF risk profile country],0)),\"\")","v":"China"},null,null,null,null,null,26,2]
["COL","Colombia",50,71,40,88,57,"NA",75,65,106,74,31,27,59,82,76,3,2,63,24,21,3,62,34,64,2,58,92,77,60,100,103,104,70,1,70,3,5,75,5,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B35,CountryMapping[WWF risk profile country],0)),\"\")","v":"Colombia"},null,null,null,null,null,27,2]
["COM","Comoros",28,93,44,142,1,"NA",8,1,15,1,25,1,88,111,69,2,1,30,47,20,3,50,1,81,1,40,106,85,131,1,109,140,76,1,6,4,4,120,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B36,CountryMapping[WWF risk profile country],0)),\"\")","v":"Comoros"},null,null,null,null,null,28,2]
["COG","Congo",33,55,17,100,4,"NA",60,49,59,90,5,18,44,27,97,3,1,64,1,21,3,46,3,57,2,49,106,64,73,103,129,76,104,1,123,5,4,86,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B37,CountryMapping[WWF risk profile country],0)),\"\")","v":"Democratic Republic of the Congo"},null,null,null,null,null,29,2]
["CRI","Costa Rica",69,47,37,13,99,"NA",42,22,82,12,41,101,62,128,82,2,2,35,33,47,4,108,44,98,3,105,83,124,137,86,93,140,41,1,14,1,4,58,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B38,CountryMapping[WWF risk profile country],0)),\"\")","v":"Costa Rica"},null,null,null,null,null,30,1]
["CIV","Côte d'Ivoire",102,26,31,25,64,"NA",107,98,38,97,76,71,78,39,115,3,1,95,1,75,5,112,78,118,2,85,69,88,39,45,58,85,44,1,98,3,3,109,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B39,CountryMapping[WWF risk profile country],0)),\"\")","v":"Cote d'Ivoire"},null,null,null,null,null,31,2]
["HRV","Croatia",56,23,16,26,62,"NA",66,14,69,58,80,105,36,84,89,2,1,41,1,48,4,75,80,53,2,113,19,90,100,31,54,33,25,1,52,2,1,24,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B40,CountryMapping[WWF risk profile country],0)),\"\")","v":"Croatia"},null,null,null,null,null,32,1]
["CYP","Cyprus",90,84,98,63,96,"NA",71,97,15,59,93,87,56,85,84,1,2,70,1,81,5,72,84,14,2,132,37,101,120,70,41,83,27,1,55,2,2,39,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B41,CountryMapping[WWF risk profile country],0)),\"\")","v":"Cyprus"},null,null,null,null,null,33,1]
["CZE","Czech Republic",62,13,60,63,1,"NA",61,44,67,47,99,108,14,47,36,2,3,29,1,71,5,103,91,100,2,90,17,92,34,15,35,2,22,1,42,1,1,42,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B42,CountryMapping[WWF risk profile country],0)),\"\")","v":"Czech Republic"},null,null,null,null,null,34,1]
["COD","Congo DRC",34,10,13,46,21,"NA",74,66,55,85,6,16,50,35,123,3,1,61,7,23,3,71,16,97,1,61,107,30,19,99,128,75,94,1,125,4,4,118,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B43,CountryMapping[WWF risk profile country],0)),\"\")","v":"Congo"},null,null,null,null,null,35,2]
["DNK","Denmark",47,52,6,75,59,"NA",34,8,5,30,57,124,8,15,42,2,2,1,1,77,5,52,65,57,2,62,35,123,83,1,77,44,12,1,24,1,1,79,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B44,CountryMapping[WWF risk profile country],0)),\"\")","v":"Denmark"},null,null,null,null,null,36,1]
["DMA","Dominica",35,56,59,1,107,"NA",13,1,38,1,108,1,88,111,69,1,1,30,59,20,3,73,83,113,2,20,59,126,131,1,26,140,26,1,11,3,3,60,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B45,CountryMapping[WWF risk profile country],0)),\"\")","v":"Dominica"},null,null,null,null,null,37,2]
["DOM","Dominican Republic",110,89,99,1,107,"NA",76,43,90,22,94,107,95,111,92,1,1,62,59,60,5,126,92,108,3,120,87,127,121,88,40,140,29,1,45,1,3,102,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B46,CountryMapping[WWF risk profile country],0)),\"\")","v":"Dominican Republic"},null,null,null,null,null,38,1]
["ECU","Ecuador",64,69,40,58,97,"NA",48,41,92,45,30,53,28,100,60,2,2,29,20,40,4,111,34,76,3,123,99,70,133,99,104,139,47,1,61,1,4,101,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B47,CountryMapping[WWF risk profile country],0)),\"\")","v":"Ecuador"},null,null,null,null,null,39,1]
["EGY","Egypt",89,108,130,132,22,"NA",116,125,16,94,35,32,66,37,9,4,2,90,1,43,4,46,33,1,2,94,55,28,8,2,99,24,96,1,99,5,2,87,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B48,CountryMapping[WWF risk profile country],0)),\"\")","v":"Egypt"},null,null,null,null,null,40,1]
["SLV","El Salvador",103,71,78,2,105,"NA",59,53,111,49,55,83,103,124,117,1,2,67,47,81,5,86,47,87,2,102,96,86,114,65,79,135,74,1,93,4,3,87,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B49,CountryMapping[WWF risk profile country],0)),\"\")","v":"El Salvador"},null,null,null,null,null,41,1]
["GNQ","Equatorial Guinea",17,60,61,7,107,"NA",22,18,11,81,8,30,19,65,61,2,1,44,1,32,3,49,2,85,1,35,102,116,66,102,126,109,71,1,80,5,3,96,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B50,CountryMapping[WWF risk profile country],0)),\"\")","v":"Equatorial Guinea"},null,null,null,null,null,42,1]
["ERI","Eritrea",57,87,92,99,50,"NA",106,124,39,91,37,20,76,68,26,4,1,100,10,20,3,18,32,1,1,74,65,48,78,35,97,54,89,1,88,5,3,40,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B51,CountryMapping[WWF risk profile country],0)),\"\")","v":"Eritrea"},null,null,null,null,null,43,1]
["EST","Estonia",22,2,49,27,1,"NA",15,15,10,22,17,63,5,4,30,2,1,10,1,70,5,76,75,112,2,34,32,124,92,1,117,1,9,1,15,1,1,45,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B52,CountryMapping[WWF risk profile country],0)),\"\")","v":"Estonia"},null,null,null,null,null,44,3]
["SWZ","Eswatini",53,38,48,11,91,"NA",46,28,83,22,126,75,72,44,134,2,1,80,22,20,3,105,110,93,1,54,96,88,129,61,8,100,101,1,94,5,5,56,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B53,CountryMapping[WWF risk profile country],0)),\"\")","v":"Eswatini"},null,null,null,null,null,45,2]
["ETH","Ethiopia",39,66,55,94,37,"NA",56,78,60,63,39,25,60,66,64,4,2,37,18,21,3,45,58,15,2,65,60,52,72,70,95,86,77,1,95,4,2,24,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B54,CountryMapping[WWF risk profile country],0)),\"\")","v":"Ethiopia"},null,null,null,null,null,46,1]
["FJI","Fiji",44,37,4,42,76,"NA",14,1,58,1,25,1,101,111,102,1,2,54,56,20,3,99,18,78,4,63,56,34,129,70,109,140,26,1,11,3,1,53,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B55,CountryMapping[WWF risk profile country],0)),\"\")","v":"Fiji"},null,null,null,null,null,47,2]
["FIN","Finland",43,67,3,116,1,"NA",21,36,7,4,60,23,6,37,21,1,2,1,1,71,5,61,54,100,2,17,6,81,29,25,74,1,5,1,9,1,1,29,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B56,CountryMapping[WWF risk profile country],0)),\"\")","v":"Finland"},null,null,null,null,null,48,1]
["FRA","France",30,15,31,45,37,"NA",70,48,54,24,102,110,60,67,40,3,5,23,1,10,2,116,103,51,4,73,17,83,28,21,32,29,7,1,17,1,2,81,5,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B57,CountryMapping[WWF risk profile country],0)),\"\")","v":"France"},null,null,null,null,null,49,1]
["GAB","Gabon",19,79,50,114,19,"NA",23,30,26,80,11,12,25,39,53,3,1,54,1,22,3,30,5,42,2,29,84,55,46,106,123,89,39,1,79,3,3,98,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B58,CountryMapping[WWF risk profile country],0)),\"\")","v":"Gabon"},null,null,null,null,null,50,3]
["GMB","Gambia",100,53,75,64,68,"NA",108,96,95,94,16,81,117,1,133,3,1,120,1,50,3,56,48,43,1,101,30,73,61,1,118,71,39,1,93,2,2,38,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B59,CountryMapping[WWF risk profile country],0)),\"\")","v":"Gambia"},null,null,null,null,null,51,1]
["DEU","Germany",16,17,38,70,5,"NA",55,35,68,34,105,90,22,55,38,2,4,23,1,12,2,92,103,68,3,89,26,105,71,7,29,8,15,1,30,1,2,74,5,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B60,CountryMapping[WWF risk profile country],0)),\"\")","v":"Germany"},null,null,null,null,null,52,3]
["GHA","Ghana",113,33,31,52,56,"NA",117,102,91,110,79,76,116,30,130,4,1,113,1,75,5,125,99,84,2,123,69,93,67,28,55,86,88,1,118,2,4,51,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B61,CountryMapping[WWF risk profile country],0)),\"\")","v":"Ghana"},null,null,null,null,null,53,2]
["GRC","Greece",93,74,91,27,94,"NA",86,85,56,59,95,104,66,110,80,2,3,38,1,80,5,64,59,47,2,83,31,120,90,70,39,59,28,1,57,2,2,35,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B62,CountryMapping[WWF risk profile country],0)),\"\")","v":"Greece"},null,null,null,null,null,54,1]
["GRD","Grenada",29,93,105,76,107,"NA",13,1,38,1,56,1,37,44,69,1,1,30,59,20,3,83,56,81,2,98,44,126,131,1,78,140,26,1,53,3,3,21,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B63,CountryMapping[WWF risk profile country],0)),\"\")","v":"Grenada"},null,null,null,null,null,55,1]
["GTM","Guatemala",101,39,26,16,88,"NA",50,12,99,55,19,95,111,106,122,3,2,73,50,57,5,133,36,116,2,133,104,101,136,76,115,127,73,1,83,3,4,100,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B64,CountryMapping[WWF risk profile country],0)),\"\")","v":"Guatemala"},null,null,null,null,null,56,6]
["GIN","Guinea",64,22,31,21,64,"NA",88,78,34,94,56,61,80,52,142,3,1,93,1,27,3,97,45,109,2,81,97,65,32,48,78,81,103,1,122,5,1,91,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B65,CountryMapping[WWF risk profile country],0)),\"\")","v":"Guinea"},null,null,null,null,null,57,3]
["GNB","Guinea-Bissau",79,59,54,29,99,"NA",99,86,31,94,20,78,93,6,139,3,1,104,1,28,3,96,10,107,1,82,81,79,85,3,114,48,49,1,100,3,2,113,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B66,CountryMapping[WWF risk profile country],0)),\"\")","v":"Guinea-Bissau"},null,null,null,null,null,58,1]
["GUY","Guyana",15,71,23,107,17,"NA",30,113,68,32,1,10,17,33,49,1,1,69,22,18,3,31,3,31,2,39,73,22,20,111,133,101,38,1,26,2,4,25,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B67,CountryMapping[WWF risk profile country],0)),\"\")","v":"Guyana"},null,null,null,null,null,59,2]
["HTI","Haiti",75,87,95,2,107,"NA",54,21,103,22,97,91,90,108,77,1,1,51,59,22,3,112,70,95,2,122,73,78,117,71,37,137,33,1,41,4,3,97,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B68,CountryMapping[WWF risk profile country],0)),\"\")","v":"Haiti"},null,null,null,null,null,60,3]
["HND","Honduras",100,45,15,24,85,"NA",37,10,105,35,29,69,112,105,128,3,2,53,53,81,5,102,31,106,2,95,101,112,106,84,105,130,76,1,84,3,4,95,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B69,CountryMapping[WWF risk profile country],0)),\"\")","v":"Honduras"},null,null,null,null,null,61,1]
["HUN","Hungary",82,23,8,65,23,"NA",101,75,100,59,104,122,23,34,56,3,2,30,1,78,5,102,101,63,2,121,26,94,82,15,30,4,26,1,53,2,1,44,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B70,CountryMapping[WWF risk profile country],0)),\"\")","v":"Hungary"},null,null,null,null,null,62,1]
["ISL","Iceland",7,102,29,141,29,"NA",3,1,3,1,46,1,3,64,4,1,1,1,1,81,5,3,14,1,1,16,13,109,86,1,88,34,4,1,12,1,1,28,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B71,CountryMapping[WWF risk profile country],0)),\"\")","v":"Iceland"},null,null,null,null,null,63,2]
["IND","India",93,77,110,60,68,"NA",135,116,104,107,119,111,98,61,89,4,2,114,35,11,2,130,120,13,3,135,57,8,53,29,15,70,85,1,113,4,2,71,5,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B72,CountryMapping[WWF risk profile country],0)),\"\")","v":"India"},null,null,null,null,null,64,1]
["IDN","Indonesia",53,70,36,82,61,"NA",40,20,53,53,23,77,83,89,83,4,2,60,26,8,2,132,19,99,4,67,71,59,84,97,111,114,34,1,58,3,3,68,5,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B73,CountryMapping[WWF risk profile country],0)),\"\")","v":"Indonesia"},null,null,null,null,null,65,2]
["IRL","Ireland",42,50,2,68,63,"NA",22,2,41,2,95,24,8,41,41,1,2,1,1,69,5,66,61,58,2,79,9,69,26,1,39,32,3,1,10,1,1,59,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B74,CountryMapping[WWF risk profile country],0)),\"\")","v":"Ireland"},null,null,null,null,null,66,2]
["ITA","Italy",44,75,66,56,100,"NA",79,59,55,44,106,112,80,92,81,2,4,25,1,4,1,128,93,39,4,117,52,111,37,67,28,64,23,1,44,1,2,107,5,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B75,CountryMapping[WWF risk profile country],0)),\"\")","v":"Italy"},null,null,null,null,null,67,3]
["JAM","Jamaica",69,56,59,1,107,"NA",45,58,77,22,40,130,88,111,69,1,1,30,59,20,3,122,28,113,2,115,66,85,131,70,94,140,39,1,11,1,4,60,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B76,CountryMapping[WWF risk profile country],0)),\"\")","v":"Jamaica"},null,null,null,null,null,68,1]
["JPN","Japan",45,56,43,15,101,"NA",60,42,73,30,87,117,115,120,43,3,4,56,59,1,1,120,67,54,4,112,33,121,110,23,47,94,14,1,27,1,2,40,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B77,CountryMapping[WWF risk profile country],0)),\"\")","v":"Japan"},null,null,null,null,null,69,1]
["KAZ","Kazakhstan",66,79,72,117,19,"NA",67,84,22,50,101,23,42,20,87,3,2,52,3,75,5,17,48,2,1,27,24,25,44,26,33,9,46,1,48,4,1,51,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B78,CountryMapping[WWF risk profile country],0)),\"\")","v":"Kazakhstan"},null,null,null,null,null,70,2]
["KEN","Kenya",56,73,62,91,54,"NA",39,90,81,18,33,45,54,40,59,4,2,58,21,41,4,54,50,18,3,32,78,62,77,71,101,99,59,1,123,3,3,89,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B79,CountryMapping[WWF risk profile country],0)),\"\")","v":"Kenya"},null,null,null,null,null,71,5]
["KIR","Kiribati",9,93,85,142,1,"NA",8,1,15,1,56,1,37,44,1,1,1,76,37,20,3,19,1,1,3,8,66,32,83,1,78,140,39,1,93,3,1,103,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B80,CountryMapping[WWF risk profile country],0)),\"\")","v":"Kiribati"},null,null,null,null,null,72,3]
["KGZ","Kyrgyzstan",74,68,87,106,8,"NA",73,39,28,77,112,86,45,130,27,3,1,4,22,71,5,42,72,1,1,78,32,42,37,70,22,43,67,1,76,4,1,22,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B81,CountryMapping[WWF risk profile country],0)),\"\")","v":"Kyrgyzstan"},null,null,null,null,null,73,3]
["LAO","Laos",109,36,33,12,87,"NA",72,37,107,88,64,46,122,107,137,4,1,64,55,67,5,123,77,121,2,102,98,72,104,80,70,112,87,1,85,5,3,87,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B82,CountryMapping[WWF risk profile country],0)),\"\")","v":"Lao People's Democratic Republic"},null,null,null,null,null,74,4]
["LVA","Latvia",41,4,7,23,15,"NA",25,32,28,25,36,97,10,2,50,2,2,19,1,74,5,101,105,111,2,41,8,100,21,1,98,1,8,1,16,1,2,18,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B83,CountryMapping[WWF risk profile country],0)),\"\")","v":"Latvia"},null,null,null,null,null,75,1]
["LBN","Lebanon",104,109,119,87,106,"NA",96,70,38,59,120,129,69,111,91,3,1,68,1,55,5,91,94,19,2,136,73,31,127,70,14,79,57,1,71,3,2,112,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B84,CountryMapping[WWF risk profile country],0)),\"\")","v":"Lebanon"},null,null,null,null,null,76,1]
["LSO","Lesotho",71,60,53,97,26,"NA",41,13,72,21,130,65,52,70,94,3,1,5,22,62,5,64,100,2,1,51,72,35,70,69,4,86,72,1,82,2,4,85,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B85,CountryMapping[WWF risk profile country],0)),\"\")","v":"Lesotho"},null,null,null,null,null,77,1]
["LBR","Liberia",55,44,27,39,73,"NA",85,74,41,94,26,53,45,56,125,2,1,77,1,27,3,98,11,122,1,67,87,48,104,87,108,110,57,1,123,2,2,92,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B86,CountryMapping[WWF risk profile country],0)),\"\")","v":"Liberia"},null,null,null,null,null,78,3]
["LTU","Lithuania",64,1,13,35,4,"NA",68,54,23,56,76,125,11,1,45,2,2,28,1,74,5,129,128,101,2,98,17,99,25,1,58,1,24,1,50,1,2,23,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B87,CountryMapping[WWF risk profile country],0)),\"\")","v":"Lithuania"},null,null,null,null,null,79,3]
["LUX","Luxembourg",32,3,19,41,1,"NA",45,32,52,22,109,78,13,44,23,2,1,30,1,37,5,124,123,98,1,101,25,124,80,1,25,1,3,1,11,1,2,95,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B88,CountryMapping[WWF risk profile country],0)),\"\")","v":"Luxembourg"},null,null,null,null,null,80,1]
["MDG","Madagascar",65,62,58,57,85,"NA",31,46,79,1,48,30,120,75,126,4,1,61,59,20,3,69,21,80,3,9,64,56,99,82,86,122,39,1,10,3,4,60,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B89,CountryMapping[WWF risk profile country],0)),\"\")","v":"Madagascar"},null,null,null,null,null,81,4]
["MWI","Malawi",87,21,48,52,42,"NA",64,87,94,22,53,78,100,63,120,5,1,34,27,63,5,75,107,65,2,47,62,93,102,65,81,107,61,1,123,2,3,44,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B90,CountryMapping[WWF risk profile country],0)),\"\")","v":"Malawi"},null,null,null,null,null,82,1]
["MYS","Malaysia",88,51,13,50,81,"NA",58,1,80,69,37,96,85,101,68,4,3,72,25,43,4,126,24,123,3,104,67,90,101,94,97,128,32,1,65,3,3,52,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B91,CountryMapping[WWF risk profile country],0)),\"\")","v":"Malaysia"},null,null,null,null,null,83,2]
["MDV","Maldives","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B92,CountryMapping[WWF risk profile country],0)),\"\")","v":"Maldives"},null,null,null,null,null,84,2]
["MLI","Mali",102,80,104,121,1,"NA",132,125,44,106,50,47,81,7,38,4,1,121,1,73,5,24,43,10,1,76,11,18,6,11,84,21,50,1,110,3,2,44,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B93,CountryMapping[WWF risk profile country],0)),\"\")","v":"Mali"},null,null,null,null,null,85,1]
["MLT","Malta",86,113,132,103,107,"NA",45,58,15,59,133,1,8,44,69,1,1,30,1,81,5,106,106,1,2,138,66,126,131,70,1,83,39,1,93,1,2,60,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B94,CountryMapping[WWF risk profile country],0)),\"\")","v":"Malta"},null,null,null,null,null,86,2]
["MHL","Marshall Islands",9,93,85,142,1,"NA",8,1,15,1,56,1,37,44,1,1,1,76,37,20,3,19,1,1,2,8,66,32,83,1,78,140,39,1,93,3,2,103,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B95,CountryMapping[WWF risk profile country],0)),\"\")","v":"Marshall Islands"},null,null,null,null,null,87,2]
["MRT","Mauritania",68,103,112,140,16,"NA",133,125,19,108,43,44,69,10,4,4,1,117,1,23,3,12,15,1,1,56,3,4,4,1,91,13,84,1,114,4,2,14,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B96,CountryMapping[WWF risk profile country],0)),\"\")","v":"Mauritania"},null,null,null,null,null,88,2]
["MUS","Mauritius","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B97,CountryMapping[WWF risk profile country],0)),\"\")","v":"Mauritius"},null,null,null,null,null,89,2]
["MEX","Mexico",37,72,86,54,84,"NA",76,100,68,11,83,58,94,76,93,3,2,70,52,2,1,95,68,34,4,42,82,43,92,70,51,102,46,1,61,3,4,112,5,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B98,CountryMapping[WWF risk profile country],0)),\"\")","v":"Mexico"},null,null,null,null,null,90,1]
["FSM","Micronesia",18,93,85,142,1,"NA",1,1,1,1,56,1,88,111,23,3,1,76,59,20,3,36,1,41,3,20,71,32,131,1,78,140,26,1,34,3,3,84,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B99,CountryMapping[WWF risk profile country],0)),\"\")","v":"Micronesia (Federated States of)"},null,null,null,null,null,91,2]
["MNG","Mongolia",35,88,84,137,2,"NA",36,69,16,27,51,4,9,62,11,2,1,16,17,65,5,9,20,10,1,22,30,76,38,44,83,6,30,1,59,2,2,48,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B100,CountryMapping[WWF risk profile country],0)),\"\")","v":"Mongolia"},null,null,null,null,null,92,1]
["MAR","Morocco",92,102,108,94,76,"NA",100,110,40,48,107,74,31,61,18,3,1,73,1,74,5,58,77,9,2,78,43,45,69,59,27,55,54,1,67,4,3,64,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B101,CountryMapping[WWF risk profile country],0)),\"\")","v":"Morocco"},null,null,null,null,null,93,29]
["MOZ","Mozambique",52,12,57,22,33,"NA",38,79,82,16,44,28,123,29,138,5,1,83,36,22,3,61,62,88,2,30,100,52,65,33,90,65,107,1,123,4,5,88,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B102,CountryMapping[WWF risk profile country],0)),\"\")","v":"Mozambique"},null,null,null,null,null,94,1]
["MMR","Myanmar",76,57,58,20,92,"NA",77,63,99,80,27,72,108,99,121,4,1,83,38,17,3,100,51,91,2,104,91,32,91,79,107,97,77,1,78,5,1,91,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B103,CountryMapping[WWF risk profile country],0)),\"\")","v":"Myanmar"},null,null,null,null,null,95,1]
["NAM","Namibia",58,88,113,128,1,"NA",39,121,21,22,59,3,26,21,54,3,1,43,11,79,5,21,39,1,2,18,66,71,36,41,75,52,94,1,94,2,5,49,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B104,CountryMapping[WWF risk profile country],0)),\"\")","v":"Namibia"},null,null,null,null,null,96,1]
["NPL","Nepal",92,73,64,43,92,"NA",90,56,115,99,39,64,84,121,102,3,1,43,22,52,5,58,49,5,2,118,79,67,109,73,95,117,57,1,104,3,2,70,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B105,CountryMapping[WWF risk profile country],0)),\"\")","v":"Nepal"},null,null,null,null,null,97,2]
["NLD","Netherlands",74,79,50,90,70,"NA",77,16,86,41,100,129,8,17,39,1,2,14,1,58,5,105,113,25,2,130,75,130,98,1,34,35,20,1,38,1,1,116,5,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B106,CountryMapping[WWF risk profile country],0)),\"\")","v":"Netherlands"},null,null,null,null,null,98,1]
["NZL","New Zealand",72,31,19,19,80,"NA",24,17,36,1,77,39,80,109,46,1,3,1,47,45,4,129,41,75,5,46,34,124,76,93,57,99,26,1,13,1,3,11,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B107,CountryMapping[WWF risk profile country],0)),\"\")","v":"New Zealand"},null,null,null,null,null,99,1]
["NIC","Nicaragua",95,52,11,58,79,"NA",54,72,108,18,23,66,89,86,108,3,2,71,46,78,5,82,25,104,2,66,89,120,108,53,111,124,88,1,7,5,4,40,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B108,CountryMapping[WWF risk profile country],0)),\"\")","v":"Nicaragua"},null,null,null,null,null,100,1]
["NER","Niger",62,95,114,134,1,"NA",137,125,42,111,29,48,37,16,8,3,1,109,1,27,3,15,26,1,1,59,22,37,18,2,105,13,55,1,120,3,3,61,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B109,CountryMapping[WWF risk profile country],0)),\"\")","v":"Niger"},null,null,null,null,null,101,1]
["NGA","Nigeria",112,30,60,66,29,"NA",134,108,89,113,63,102,105,32,114,4,1,118,1,79,5,101,105,49,2,104,73,61,14,22,71,68,92,1,126,4,2,89,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B110,CountryMapping[WWF risk profile country],0)),\"\")","v":"Nigeria"},null,null,null,null,null,102,3]
["NOR","Norway",8,81,20,110,34,"NA",12,16,13,1,59,12,5,80,13,1,2,1,1,27,3,32,44,36,2,23,12,118,71,51,75,20,1,1,2,1,1,59,5,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B111,CountryMapping[WWF risk profile country],0)),\"\")","v":"Norway"},null,null,null,null,null,103,1]
["PAK","Pakistan",112,98,115,100,51,"NA",124,106,101,107,91,68,93,78,55,4,2,105,28,66,5,81,84,1,2,125,46,36,23,24,43,53,85,1,112,4,1,53,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B112,CountryMapping[WWF risk profile country],0)),\"\")","v":"Pakistan"},null,null,null,null,null,104,4]
["PAN","Panama",65,58,51,44,83,"NA",56,95,48,40,39,57,56,112,96,2,2,41,23,42,4,76,32,94,2,69,95,113,118,104,95,140,46,1,43,2,4,79,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B113,CountryMapping[WWF risk profile country],0)),\"\")","v":"Panama"},null,null,null,null,null,105,1]
["PNG","Papua New Guinea",34,85,22,131,12,"NA",17,2,45,5,16,62,35,96,58,2,1,50,30,19,3,94,4,71,4,26,91,13,97,108,118,131,26,1,5,3,3,88,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B114,CountryMapping[WWF risk profile country],0)),\"\")","v":"Papua New Guinea"},null,null,null,null,null,106,1]
["PRY","Paraguay",99,44,34,84,35,"NA",80,93,106,26,70,34,96,9,132,1,2,119,1,64,5,86,74,115,2,36,60,44,81,45,64,72,42,1,23,3,4,96,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B115,CountryMapping[WWF risk profile country],0)),\"\")","v":"Paraguay"},null,null,null,null,null,107,2]
["PER","Peru",46,92,68,98,67,"NA",33,38,106,36,7,19,58,91,66,3,1,27,6,22,3,72,17,45,3,53,105,65,96,105,127,119,74,1,89,2,4,111,5,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B116,CountryMapping[WWF risk profile country],0)),\"\")","v":"Peru"},null,null,null,null,null,108,2]
["PHL","Philippines",96,49,30,14,103,"NA",90,81,88,21,49,109,108,119,91,3,2,59,58,45,4,98,46,89,3,97,101,82,115,85,85,138,76,1,93,4,4,94,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B117,CountryMapping[WWF risk profile country],0)),\"\")","v":"Philippines"},null,null,null,null,null,109,2]
["POL","Poland",80,11,21,59,11,"NA",84,60,30,68,81,127,40,28,35,3,3,26,1,78,5,107,108,85,2,116,35,129,47,10,53,12,30,1,64,3,1,63,5,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B118,CountryMapping[WWF risk profile country],0)),\"\")","v":"Poland"},null,null,null,null,null,110,2]
["PRT","Portugal",73,42,71,28,74,"NA",94,71,65,2,125,117,44,77,103,1,2,47,1,39,4,113,98,120,3,48,27,95,84,68,9,44,11,1,22,1,2,76,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B119,CountryMapping[WWF risk profile country],0)),\"\")","v":"Portugal"},null,null,null,null,null,111,1]
["ROU","Romania",81,14,31,56,22,"NA",86,66,93,59,117,113,51,81,88,3,1,36,1,80,5,89,118,40,2,87,15,91,48,66,17,19,26,1,53,2,2,19,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B120,CountryMapping[WWF risk profile country],0)),\"\")","v":"Romania"},null,null,null,null,null,112,1]
["RWA","Rwanda",101,47,14,53,80,"NA",105,19,97,86,78,126,71,88,56,4,1,1,21,59,5,116,125,72,1,113,85,63,134,70,56,126,91,1,88,5,4,27,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B121,CountryMapping[WWF risk profile country],0)),\"\")","v":"Rwanda"},null,null,null,null,null,113,5]
["KNA","Saint Kitts and Nevis",13,19,59,76,1,"NA",8,1,15,1,93,1,102,111,109,1,1,30,59,20,3,23,56,1,1,31,53,126,131,1,41,140,26,1,11,3,3,44,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B122,CountryMapping[WWF risk profile country],0)),\"\")","v":"Saint Kitts and Nevis"},null,null,null,null,null,114,1]
["LCA","Saint Lucia",29,93,105,76,107,"NA",13,1,38,1,56,1,37,44,69,1,1,30,59,20,3,83,56,81,3,98,44,126,131,1,78,140,26,1,53,3,3,21,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B123,CountryMapping[WWF risk profile country],0)),\"\")","v":"Saint Lucia"},null,null,null,null,null,115,1]
["WSM","Samoa","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B124,CountryMapping[WWF risk profile country],0)),\"\")","v":"Samoa"},null,null,null,null,null,116,1]
["STP","Sao Tome and Principe",33,48,44,1,107,"NA",45,1,1,94,25,78,37,111,69,2,1,30,1,20,3,72,1,81,1,72,109,133,131,70,109,140,75,1,93,2,3,112,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B125,CountryMapping[WWF risk profile country],0)),\"\")","v":"Sao Tome and Principe"},null,null,null,null,null,117,1]
["SEN","Senegal",106,53,79,80,51,"NA",121,119,62,100,55,57,107,5,101,4,1,125,1,69,5,59,65,17,2,77,41,95,67,4,79,51,45,1,106,2,3,53,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B126,CountryMapping[WWF risk profile country],0)),\"\")","v":"Senegal"},null,null,null,null,null,118,2]
["SYC","Seychelles",7,93,105,142,1,"NA",2,1,1,1,56,6,33,3,1,2,1,76,45,20,3,20,1,10,2,20,53,65,141,70,78,120,26,1,53,1,2,12,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B127,CountryMapping[WWF risk profile country],0)),\"\")","v":"Seychelles"},null,null,null,null,null,"NA",21]
["SLE","Sierra Leone",90,43,32,4,107,"NA",51,58,71,94,30,73,79,44,143,3,1,96,1,62,5,107,13,124,1,76,59,81,75,70,104,93,61,1,126,3,2,65,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B128,CountryMapping[WWF risk profile country],0)),\"\")","v":"Sierra Leone"},null,null,null,null,null,"Grand Total",251]
["SVK","Slovakia",71,23,42,49,45,"NA",63,51,87,59,85,107,27,90,32,3,1,21,1,81,5,91,89,85,2,103,23,108,57,54,49,23,26,1,53,1,1,32,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B129,CountryMapping[WWF risk profile country],0)),\"\")","v":"Slovakia"}]
["SVN","Slovenia",52,15,27,23,53,"NA",46,4,41,42,65,84,14,118,31,1,2,22,1,59,5,88,81,70,2,115,10,131,15,57,69,27,19,1,37,1,1,9,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B130,CountryMapping[WWF risk profile country],0)),\"\")","v":"Slovenia"}]
["SLB","Solomon Islands",38,81,25,111,32,"NA",9,1,18,1,33,1,83,125,17,1,1,55,48,20,3,94,7,102,3,13,67,17,138,95,101,140,26,1,4,2,3,41,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B131,CountryMapping[WWF risk profile country],0)),\"\")","v":"Solomon Islands"}]
["SOM","Somalia",23,84,110,112,19,"NA",83,111,68,43,71,15,32,22,16,3,1,86,22,21,3,5,34,3,1,10,84,2,41,64,63,69,105,1,124,5,3,57,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B132,CountryMapping[WWF risk profile country],0)),\"\")","v":"Somalia"}]
["ZAF","South Africa",68,65,109,83,41,"NA",98,99,37,17,131,38,65,38,87,4,2,48,19,24,3,94,88,22,4,39,49,54,67,47,3,80,68,1,62,3,5,49,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B133,CountryMapping[WWF risk profile country],0)),\"\")","v":"South Africa"}]
["SSD","South Sudan",42,28,55,71,20,"NA",99,95,96,82,66,18,82,12,140,3,1,98,2,20,3,19,39,7,1,53,97,49,55,55,68,57,105,1,121,5,4,77,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B134,CountryMapping[WWF risk profile country],0)),\"\")","v":"South Sudan"}]
["ESP","Spain",31,60,97,55,69,"NA",96,73,48,14,129,107,55,72,68,1,4,31,1,4,1,115,102,57,4,48,46,106,116,62,5,62,21,1,45,1,2,80,5,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B135,CountryMapping[WWF risk profile country],0)),\"\")","v":"Spain"}]
["LKA","Sri Lanka",91,76,82,3,107,"NA",54,10,102,61,75,119,63,42,78,1,2,85,40,81,5,91,96,82,3,105,74,132,95,43,59,134,26,1,55,3,3,54,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B136,CountryMapping[WWF risk profile country],0)),\"\")","v":"Sri Lanka"}]
["SDN","Sudan",68,78,103,115,8,"NA",114,124,57,95,53,37,79,27,33,4,1,111,1,21,3,42,57,1,2,55,26,7,9,9,81,26,95,1,96,5,2,43,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B137,CountryMapping[WWF risk profile country],0)),\"\")","v":"Sudan"}]
["SWE","Sweden",42,35,9,89,3,"NA",26,52,12,7,62,17,7,44,24,1,2,1,1,80,5,61,53,103,2,17,7,90,17,38,72,3,2,1,3,1,1,51,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B138,CountryMapping[WWF risk profile country],0)),\"\")","v":"Sweden"}]
["CHE","Switzerland",64,25,37,74,13,"NA",53,21,66,31,111,89,40,122,22,1,3,9,1,53,5,90,95,30,3,106,28,114,27,61,23,40,13,1,25,1,2,92,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B139,CountryMapping[WWF risk profile country],0)),\"\")","v":"Switzerland"}]
["TJK","Tajikistan",82,90,77,123,30,"NA",88,76,91,76,86,69,42,126,15,3,1,16,22,60,5,43,72,1,1,81,66,86,68,70,48,38,78,1,78,5,2,58,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B140,CountryMapping[WWF risk profile country],0)),\"\")","v":"Tajikistan"}]
["THA","Thailand",87,78,81,30,103,"NA",93,61,110,74,88,102,99,71,115,4,2,92,41,25,3,114,104,79,3,113,84,105,94,86,46,105,64,1,73,4,2,78,5,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B141,CountryMapping[WWF risk profile country],0)),\"\")","v":"Thailand"}]
["TLS","Timor-Leste",51,91,47,138,10,"NA",16,27,37,28,14,78,104,114,113,2,1,34,49,15,3,60,12,69,1,64,35,79,131,70,120,140,11,1,21,2,1,37,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B142,CountryMapping[WWF risk profile country],0)),\"\")","v":"Timor-Leste"}]
["TGO","Togo",88,32,24,61,47,"NA",115,97,73,112,81,79,92,39,136,3,1,107,1,36,3,117,122,68,1,117,88,86,71,47,53,74,86,1,122,3,4,104,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B143,CountryMapping[WWF risk profile country],0)),\"\")","v":"Togo"}]
["TON","Tonga","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B144,CountryMapping[WWF risk profile country],0)),\"\")","v":"Tonga"}]
["TTO","Trinidad and Tobago",105,104,117,1,107,"NA",45,125,38,1,40,78,102,111,109,1,1,30,47,81,5,93,28,81,2,124,62,126,131,70,94,140,32,1,68,1,3,60,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B145,CountryMapping[WWF risk profile country],0)),\"\")","v":"Trinidad and Tobago"}]
["TUR","Turkey",81,61,88,69,58,"NA",111,101,51,60,109,116,54,108,65,3,2,29,1,44,4,80,92,25,2,103,72,9,82,69,25,50,92,1,59,5,4,75,5,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B146,CountryMapping[WWF risk profile country],0)),\"\")","v":"Turkey"}]
["TUV","Tuvalu",12,93,105,142,1,"NA",1,1,1,1,25,1,37,44,1,1,1,76,47,20,3,57,1,1,2,31,20,32,131,70,109,140,26,1,53,3,3,3,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B147,CountryMapping[WWF risk profile country],0)),\"\")","v":"Tuvalu"}]
["UGA","Uganda",45,29,20,40,65,"NA",64,67,89,64,33,80,68,46,107,4,1,20,13,23,3,75,103,66,2,45,95,80,76,77,101,98,91,1,123,4,4,93,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B148,CountryMapping[WWF risk profile country],0)),\"\")","v":"Uganda"}]
["UKR","Ukraine",40,18,52,63,14,"NA",83,40,61,54,104,121,39,33,114,3,2,30,1,23,3,79,111,33,2,76,40,69,31,12,30,10,41,1,52,4,1,94,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B149,CountryMapping[WWF risk profile country],0)),\"\")","v":"Ukraine"}]
["GBR","United Kingdom",43,72,16,82,76,"NA",41,15,61,19,99,100,20,42,51,3,3,1,1,24,3,113,93,46,4,67,34,115,59,1,35,36,10,1,8,2,2,108,5,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B150,CountryMapping[WWF risk profile country],0)),\"\")","v":"United Kingdom"}]
["TZA","Tanzania",50,24,26,45,50,"NA",37,88,65,23,15,55,94,46,118,5,1,32,22,23,3,84,76,69,3,43,65,96,88,74,119,92,42,1,94,3,3,66,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B151,CountryMapping[WWF risk profile country],0)),\"\")","v":"United Republic of Tanzania"}]
["USA","United States",46,45,67,78,31,"NA",67,68,56,8,106,41,73,50,66,2,5,63,31,7,2,121,77,50,5,25,14,61,16,50,28,45,29,1,32,1,3,19,5,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B152,CountryMapping[WWF risk profile country],0)),\"\")","v":"United States of America"}]
["URY","Uruguay",87,50,28,47,87,"NA",95,105,102,1,124,52,31,8,65,1,2,81,1,67,5,99,117,68,2,91,5,15,79,1,10,82,28,1,53,1,3,9,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B153,CountryMapping[WWF risk profile country],0)),\"\")","v":"Uruguay"}]
["UZB","Uzbekistan",57,89,107,125,15,"NA",106,118,20,87,84,35,44,51,30,3,1,82,12,33,3,37,56,1,1,92,38,22,61,68,50,25,73,1,84,4,2,17,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B154,CountryMapping[WWF risk profile country],0)),\"\")","v":"Uzbekistan"}]
["VUT","Vanuatu",27,82,76,133,1,"NA",7,1,9,1,25,1,109,127,44,1,1,34,59,20,3,38,1,26,3,24,62,47,135,91,109,132,26,1,53,2,2,34,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B155,CountryMapping[WWF risk profile country],0)),\"\")","v":"Vanuatu"}]
["VEN","Venezuela",50,52,27,81,41,"NA",51,77,71,38,33,22,43,60,102,1,2,72,29,42,4,51,43,51,2,44,103,110,85,98,101,103,75,1,35,4,4,107,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B156,CountryMapping[WWF risk profile country],0)),\"\")","v":"Venezuela (Bolivarian Republic of)"}]
["VNM","Vietnam",108,65,67,17,102,"NA",102,103,112,75,82,94,118,98,110,4,1,83,54,42,4,127,84,105,1,129,68,66,93,76,52,121,65,1,73,4,2,60,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B157,CountryMapping[WWF risk profile country],0)),\"\")","v":"Viet Nam"}]
["YEM","Yemen",99,106,128,130,28,"NA",131,125,45,105,72,39,48,74,7,3,1,99,22,79,5,22,38,1,1,81,94,3,11,42,62,41,101,1,111,5,3,117,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B158,CountryMapping[WWF risk profile country],0)),\"\")","v":"Yemen"}]
["ZMB","Zambia",96,34,32,74,27,"NA",57,99,61,39,47,14,111,20,141,5,1,32,22,74,5,78,71,83,2,57,77,94,74,56,87,66,95,1,97,2,5,63,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B159,CountryMapping[WWF risk profile country],0)),\"\")","v":"Zambia"}]
["ZWE","Zimbabwe",53,26,63,32,48,"NA",87,114,54,20,116,54,73,30,112,4,1,46,23,24,3,69,126,37,2,41,90,63,45,17,18,60,107,1,122,4,5,89,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B160,CountryMapping[WWF risk profile country],0)),\"\")","v":"Zimbabwe"}]
["BLR","Belarus",32,5,10,32,13,"NA",62,50,50,57,71,115,34,4,76,3,1,30,1,25,3,110,116,96,1,83,46,89,43,1,63,5,53,1,51,5,1,73,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B161,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["MKD","North Macedonia",67,7,69,30,13,"NA",46,23,49,59,118,79,63,94,104,2,1,33,1,81,5,70,86,44,1,109,12,87,111,70,16,44,26,1,53,3,2,10,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B162,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["AND","Andorra",12,8,83,28,1,"NA",47,28,38,22,121,82,77,111,25,1,1,2,1,5,3,74,83,41,1,47,55,85,122,70,13,44,16,1,33,3,3,114,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B163,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["SRB","Serbia",77,16,30,38,39,"NA",91,25,93,60,123,112,61,83,97,3,2,39,1,79,5,60,114,24,1,46,17,57,51,36,11,16,26,1,54,3,2,36,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B164,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["AIA","Anguilla",13,19,59,76,1,"NA",8,1,15,1,93,1,102,111,109,1,1,30,59,20,3,23,56,1,2,31,53,126,131,1,41,140,26,1,11,3,3,44,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B165,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["BES2","Saba",13,19,59,76,1,"NA",8,1,15,1,93,1,102,111,109,3,1,30,59,20,3,23,56,1,1,31,53,126,131,1,41,140,26,1,11,3,3,44,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B166,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["BES3","Saint Eustatius",13,19,59,76,1,"NA",8,1,15,1,93,1,102,111,109,3,1,30,59,20,3,23,56,1,1,31,53,126,131,1,41,140,26,1,11,3,3,44,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B167,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["BLM","Saint Barthelemy",13,19,59,76,1,"NA",8,1,15,1,93,1,102,111,109,1,1,30,59,20,3,23,56,1,1,31,53,126,131,1,41,140,26,1,11,3,3,44,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B168,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["LIE","Liechtenstein",63,19,44,76,1,"NA",71,1,38,22,108,103,16,131,1,1,1,1,1,81,3,73,83,41,1,84,14,126,1,70,26,44,3,1,11,3,3,64,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B169,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["MAF","Saint Martin",13,19,59,76,1,"NA",8,1,15,1,93,1,102,111,109,1,1,30,59,20,3,23,56,1,1,31,53,126,131,1,41,140,26,1,11,3,3,44,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B170,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["SXM","Sint Maarten",13,19,59,76,1,"NA",8,1,15,1,93,1,102,111,109,1,1,30,59,20,3,23,56,1,1,31,53,126,131,1,41,140,26,1,11,3,3,44,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B171,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["MNE","Montenegro",78,23,58,18,60,"NA",46,1,78,59,112,79,75,113,112,3,1,15,1,76,5,77,85,24,1,126,37,104,81,70,22,58,26,1,53,2,3,61,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B172,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["DT2","Abyei (disputed)",66,24,65,78,7,"NA",116,117,117,94,83,51,119,1,135,4,1,124,1,20,3,27,40,1,1,71,42,4,2,32,51,41,98,1,115,5,3,47,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B173,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["BRN","Brunei Darussalam",60,27,1,8,104,"NA",45,1,40,59,38,78,88,116,68,1,1,88,22,35,3,98,26,114,1,81,97,125,130,112,96,139,26,1,53,3,3,82,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B174,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["MDA","Moldova",71,44,28,79,43,"NA",99,62,87,51,114,130,15,43,95,2,1,31,1,54,5,88,115,1,1,106,29,56,26,49,20,12,26,1,49,1,1,74,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B175,CountryMapping[WWF risk profile country],0)),\"\")","v":"Moldova"}]
["KOR","South Korea",51,50,77,36,71,"NA",82,9,98,71,96,123,92,104,67,3,2,78,59,10,2,89,70,77,2,128,49,110,50,1,38,87,31,1,66,1,2,86,5,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B176,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["GLP","Guadeloupe",35,56,59,1,107,"NA",13,1,38,1,108,1,88,111,69,1,1,30,59,20,3,73,83,113,2,20,59,126,131,1,26,140,26,1,11,3,3,60,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B177,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["SPM","Saint Pierre and Miquelon",21,56,44,103,1,"NA",13,26,15,1,12,1,113,44,23,1,1,1,59,7,3,40,1,1,1,20,6,32,83,114,122,1,3,1,11,3,3,2,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B178,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["TCA","Turks and Caicos Islands",4,56,85,103,1,"NA",1,1,1,1,25,1,37,1,69,1,1,30,59,20,3,2,1,1,2,1,86,133,141,1,109,140,26,1,34,3,3,60,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B179,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["PRI","Puerto Rico",62,57,59,33,107,"NA",43,57,76,1,75,73,88,111,68,1,1,31,59,20,3,98,82,110,3,19,59,86,132,70,59,140,26,1,11,3,3,60,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B180,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["PRK","North Korea",46,57,36,43,97,"NA",62,7,76,65,89,99,70,75,74,3,1,40,57,14,3,60,87,60,2,33,40,11,59,5,45,60,60,1,60,5,3,72,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B181,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["ALB","Albania",91,59,79,33,93,"NA",50,11,77,59,79,85,88,129,111,3,1,29,1,81,5,68,52,58,1,114,47,117,113,70,55,77,26,1,54,2,1,55,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B182,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["NCL","New Caledonia",14,63,69,9,98,"NA",5,1,15,1,2,1,72,44,100,1,1,34,59,20,3,48,1,38,4,8,76,68,126,70,132,140,26,1,19,3,3,56,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B183,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["SMR","San Marino",57,63,70,31,107,"NA",110,94,38,59,93,130,88,111,69,1,1,30,1,1,3,134,83,1,1,132,73,85,30,70,41,44,26,1,53,3,3,120,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B184,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["SGP","Singapore",102,64,70,34,107,"NA",110,1,77,94,92,130,57,44,73,2,1,76,22,49,5,136,56,125,2,131,49,32,83,70,42,136,39,1,93,3,3,79,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B185,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["GEO","Georgia",84,67,73,47,95,"NA",40,6,75,37,91,76,90,124,75,4,2,18,1,74,5,44,74,1,1,68,26,92,112,90,43,84,40,1,87,2,2,8,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B186,CountryMapping[WWF risk profile country],0)),\"\")","v":"Georgia"}]
["DT4","Arunachal Pradesh (disputed)",70,71,41,105,24,"NA",91,92,113,73,22,13,91,130,71,4,2,11,22,14,3,70,25,52,3,56,70,8,129,109,112,125,37,1,69,4,3,26,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B187,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["AZE","Azerbaijan",91,74,83,77,77,"NA",78,64,70,65,127,92,50,87,90,2,1,57,1,76,5,86,127,1,1,81,60,84,103,53,7,61,63,1,64,5,1,64,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B188,CountryMapping[WWF risk profile country],0)),\"\")","v":"Azerbaijan"}]
["RUS","Russian Federation",26,74,16,123,6,"NA",19,24,43,25,17,12,48,42,67,4,2,12,8,21,3,63,27,62,3,13,77,38,12,72,117,3,58,1,28,5,2,106,5,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B189,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["SUR","Suriname",24,74,16,118,9,"NA",49,122,49,52,4,5,18,37,34,1,1,75,22,20,3,48,12,27,2,86,67,56,107,110,130,91,26,1,46,2,3,28,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B190,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["AFG","Afghanistan",61,83,101,113,19,"NA",125,123,83,101,90,9,38,93,14,3,1,54,22,23,3,39,66,1,1,89,77,16,33,14,44,39,106,1,123,5,3,81,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B191,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["TKM","Turkmenistan",56,83,106,121,15,"NA",119,125,17,93,113,31,29,53,41,2,1,101,16,22,3,47,73,1,1,96,54,24,57,63,21,18,93,1,94,5,3,46,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B192,CountryMapping[WWF risk profile country],0)),\"\")","v":"Turkmenistan"}]
["CUB","Cuba",80,86,94,6,107,"NA",97,80,71,8,103,118,110,59,119,1,1,83,59,20,3,56,84,86,2,2,66,107,107,75,31,133,62,1,40,5,3,42,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B193,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["GUF","French Guiana",16,86,38,120,32,"NA",48,120,19,59,3,2,17,48,25,1,1,76,22,16,3,14,8,23,1,28,55,122,123,113,131,95,30,1,53,3,3,16,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B194,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["ARM","Armenia",100,91,93,92,79,"NA",71,5,53,59,128,95,68,115,87,2,1,6,1,69,5,98,124,1,1,99,82,102,128,68,6,113,35,1,64,2,1,107,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B195,CountryMapping[WWF risk profile country],0)),\"\")","v":"Armenia"}]
["ATF","French Southern Territories",6,93,89,142,1,"NA",4,1,1,1,56,8,46,69,1,1,1,76,58,20,3,4,1,1,2,3,74,9,140,10,78,118,26,1,37,3,3,47,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B196,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["CYM","Cayman Islands",14,93,90,142,1,"NA",10,1,8,15,30,1,49,44,47,1,1,76,59,20,3,25,1,50,2,4,49,126,131,1,104,140,26,1,38,3,3,30,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B197,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["FLK","Falkland Islands",2,93,18,142,1,"NA",1,1,1,1,40,1,4,44,23,1,1,1,1,20,3,2,1,1,2,1,52,32,131,70,94,140,26,1,1,3,3,41,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B198,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["FRO","Faroe Islands",1,93,70,142,1,"NA",1,1,1,1,40,1,1,44,1,1,1,1,1,20,3,1,1,1,1,15,30,32,83,1,94,44,26,1,20,3,3,60,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B199,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["GGY","Guernsey",33,93,18,76,107,"NA",45,58,15,22,74,78,37,44,23,1,1,1,1,7,3,100,106,1,1,72,48,85,83,1,60,44,3,1,11,3,3,115,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B200,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["GRL","Greenland",5,93,102,142,1,"NA",25,125,1,1,28,29,2,58,2,1,1,1,1,20,3,6,1,73,1,1,1,77,3,1,106,1,26,1,48,3,3,6,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B201,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["IMN","Isle of Man",3,93,44,76,107,"NA",1,1,1,1,122,1,4,44,23,1,1,1,1,20,3,8,106,1,1,1,12,32,83,1,12,44,26,1,6,3,3,60,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B202,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["JEY","Jersey",33,93,18,76,107,"NA",45,58,15,22,74,78,37,44,23,1,1,1,1,7,3,100,106,1,1,72,48,85,83,1,60,44,3,1,11,3,3,115,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B203,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["MCO","Monaco",74,93,44,76,107,"NA",45,58,38,22,40,78,121,131,69,3,1,30,1,6,3,131,28,41,1,124,50,85,1,70,94,44,3,1,11,3,3,119,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B204,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["MSR","Montserrat",33,93,59,76,107,"NA",13,1,38,1,93,1,88,111,69,1,1,30,59,20,3,36,83,41,2,31,59,85,131,1,41,140,26,1,11,3,3,60,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B205,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["MTQ","Martinique",29,93,105,76,107,"NA",13,1,38,1,56,1,37,44,69,1,1,30,59,20,3,83,56,81,2,98,44,126,131,1,78,140,26,1,53,3,3,21,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B206,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["MYT","Mayotte",28,93,44,142,1,"NA",8,1,15,1,25,1,88,111,69,2,1,30,47,20,3,50,1,81,2,40,106,85,131,1,109,140,76,1,6,3,3,120,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B207,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["NFK","Norfolk Island",3,93,85,142,1,"NA",1,1,1,1,56,1,8,44,1,1,1,30,47,20,3,2,1,1,2,1,73,126,141,70,78,140,26,1,34,3,3,22,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B208,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["NRU","Nauru",9,93,85,142,1,"NA",8,1,15,1,56,1,37,44,1,1,1,76,37,20,3,19,1,1,2,8,66,32,83,1,78,140,39,1,93,3,2,103,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B209,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["PLW","Palau",18,93,85,142,1,"NA",1,1,1,1,56,1,88,111,23,1,1,76,59,20,3,36,1,41,3,20,71,32,131,1,78,140,26,1,34,3,3,84,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B210,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["UMI","United States Minor Outlying Islands",11,93,93,142,1,"NA",6,1,7,1,56,1,37,44,1,1,1,76,44,20,3,29,1,48,2,6,49,14,40,1,78,123,36,1,74,3,3,72,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B211,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["VCT","Saint Vincent and the Grenadines",29,93,105,76,107,"NA",13,1,38,1,56,1,37,44,69,1,1,30,59,20,3,83,56,81,1,98,44,126,131,1,78,140,26,1,53,3,3,21,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B212,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["VGB","British Virgin Islands",33,93,59,76,107,"NA",13,26,38,1,93,1,88,111,69,1,1,76,59,20,3,36,56,81,2,5,59,126,131,70,41,140,26,1,11,3,3,60,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B213,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["VIR","US Virgin Islands",33,93,59,76,107,"NA",13,26,38,1,93,1,88,111,69,1,1,76,59,20,3,36,56,81,2,5,59,126,131,70,41,140,26,1,11,3,3,60,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B214,CountryMapping[WWF risk profile country],0)),\"\")","v":0}]
["SYR","Syria",63,94,118,108,38,"NA",109,112,27,67,112,96,45,49,70,2,2,94,1,29,3,53,89,6,2,52,60,5,85,37,22,42,74,1,76,5,3,83,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B215,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["IRQ","Iraq",71,96,118,119,25,"NA",103,114,47,78,89,36,67,25,63,3,1,115,4,26,3,65,90,1,2,75,57,21,56,20,45,23,69,1,81,4,1,105,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B216,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["DT1","Aksai Chin (disputed)",55,97,100,142,1,"NA",29,83,21,13,70,1,117,123,12,5,4,1,22,13,3,34,35,1,3,14,18,1,16,58,64,22,31,1,48,5,3,24,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B217,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["FRA2","Clipperton",11,99,111,142,1,"NA",45,125,1,1,56,78,54,44,69,3,1,30,59,1,3,28,1,1,1,8,108,32,141,1,78,140,48,1,63,3,3,120,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B218,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["DZA","Algeria",56,100,116,136,6,"NA",117,125,19,92,32,56,33,32,6,3,1,91,1,22,3,35,20,4,2,49,21,12,17,15,102,14,72,1,93,4,1,55,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B219,CountryMapping[WWF risk profile country],0)),\"\")","v":"Algeria"}]
["TUN","Tunisia",93,101,117,104,55,"NA",102,125,27,70,82,60,44,36,28,3,2,108,1,63,5,55,63,11,2,88,51,40,69,45,52,47,39,1,77,3,2,94,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B220,CountryMapping[WWF risk profile country],0)),\"\")","v":"Tunisia"}]
["ESP2","Canarias",20,104,117,76,107,"NA",80,94,38,1,108,1,4,44,143,3,1,1,1,20,3,13,56,1,1,8,62,126,131,70,26,140,32,1,68,3,3,60,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B221,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["IRN","Iran",85,104,120,109,53,"NA",116,115,63,90,73,75,97,94,34,5,3,79,20,21,3,50,64,1,2,72,33,33,27,18,61,36,97,1,101,5,3,17,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B222,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["PRT3","Madeira",20,104,117,76,107,"NA",80,94,38,1,108,1,4,44,143,3,1,1,1,20,3,13,56,1,1,8,62,126,131,70,26,140,32,1,68,3,3,60,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B223,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["SAU","Saudi Arabia",98,105,126,135,11,"NA",127,125,24,103,52,33,38,31,10,3,2,103,15,80,5,33,19,1,2,63,39,23,10,13,82,13,100,1,109,5,3,44,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B224,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["DJI","Djibouti",65,107,96,102,86,"NA",110,122,75,94,45,2,73,86,37,3,1,123,22,20,3,20,27,1,1,80,63,19,60,6,89,106,79,1,95,4,3,65,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B225,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["DT3","Western Sahara (disputed)",31,107,115,139,33,"NA",105,125,6,89,47,47,14,29,3,3,1,112,1,23,3,7,11,1,1,35,3,21,9,7,87,7,43,1,86,3,3,23,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B226,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["OMN","Oman",71,108,122,126,49,"NA",136,125,39,109,39,43,53,44,20,3,1,127,32,30,3,17,9,1,1,127,48,27,42,34,95,43,91,1,119,4,3,31,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B227,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["LBY","Libya",48,109,125,141,9,"NA",118,125,2,98,18,50,34,24,5,3,1,84,1,23,3,10,13,1,1,52,16,3,5,8,116,11,81,1,103,4,3,63,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B228,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["GIB","Gibraltar",54,110,124,1,107,"NA",45,58,38,22,122,78,88,111,69,1,1,30,1,1,3,135,83,113,1,60,107,133,141,70,12,44,36,1,75,3,3,119,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B229,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["QAT","Qatar",83,110,127,108,75,"NA",112,125,4,96,42,1,36,18,57,2,1,128,22,81,5,11,1,1,1,93,59,75,38,1,92,71,80,1,97,4,3,39,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B230,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["JOR","Jordan",94,111,123,128,44,"NA",104,120,25,83,73,45,41,45,12,3,2,89,1,70,5,41,42,1,2,94,61,53,87,30,61,28,74,1,91,4,2,68,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B231,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["KWT","Kuwait",96,112,131,122,55,"NA",113,125,13,94,69,37,62,11,79,2,1,128,22,68,5,26,31,1,1,102,48,93,49,41,65,44,81,1,93,4,3,32,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B232,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["ABW","Aruba",25,113,85,103,107,"NA",32,58,1,1,56,1,37,44,23,1,1,76,47,20,3,13,28,1,1,7,59,126,131,70,78,140,26,1,34,3,3,60,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B233,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["BES1","Bonaire",25,113,85,103,107,"NA",32,58,1,1,56,1,37,44,23,3,1,76,47,20,3,13,28,1,1,7,59,126,131,70,78,140,26,1,34,3,3,60,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B234,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["CUW","Curacao",25,113,85,103,107,"NA",32,58,1,1,56,1,37,44,23,1,1,76,47,20,3,13,28,1,2,7,59,126,131,70,78,140,26,1,34,3,3,60,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B235,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["VAT","Vatican City",80,113,59,103,107,"NA",120,58,116,59,132,130,88,44,109,1,1,76,1,1,3,135,106,1,1,134,73,126,1,70,2,44,26,1,53,3,3,120,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B236,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["ISR","Israel",115,114,121,104,100,"NA",123,119,46,78,110,98,87,79,52,3,4,100,1,64,5,90,79,5,3,136,76,79,125,40,24,111,48,1,86,2,3,81,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B237,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["PSE","Palestinian Territory",114,115,129,97,107,"NA",126,107,61,79,114,128,83,97,72,1,1,107,1,51,3,93,87,8,1,140,82,50,119,70,20,115,56,1,102,3,3,96,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B238,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["ARE","United Arab Emirates",97,116,133,127,72,"NA",125,125,33,103,67,21,27,54,38,2,1,128,22,65,5,22,24,1,1,110,43,97,38,16,67,63,91,1,117,4,1,15,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B239,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["BHR","Bahrain",107,117,134,103,107,"NA",110,125,1,94,54,67,74,44,106,2,1,128,22,81,5,29,25,1,1,137,84,6,83,1,80,88,102,1,116,5,3,62,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B240,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["GUM","Guam",72,118,105,142,107,"NA",13,26,38,1,56,1,88,44,109,1,1,76,59,20,3,100,1,81,4,1,24,32,131,1,78,140,26,1,53,3,3,5,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B241,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["MNP","Northern Mariana Islands",72,118,105,142,107,"NA",13,26,38,1,56,1,88,44,109,1,1,76,59,20,3,100,1,81,3,1,24,32,131,1,78,140,26,1,53,3,3,5,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B242,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["ASM","American Samoa","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B243,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["BMU","Bermuda","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B244,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["BVT","Bouvet Island","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B245,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["CCK","Cocos Islands","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B246,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["COK","Cook Islands","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B247,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["CXR","Christmas Island","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B248,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["HMD","Heard Island and McDonald Islands","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B249,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["IOT","British Indian Ocean Territory","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B250,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["PCN","Pitcairn","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B251,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["PRT2","Azores","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B252,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["PYF","French Polynesia","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B253,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["REU","Réunion","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B254,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["SGS","South Georgia and South Sandwich Islands","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B255,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["SHN","Saint Helena","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B256,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["TKL","Tokelau","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B257,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["WLF","Wallis and Futuna","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B258,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]

{"sheet":"WWF-Water-Risks>>","index":89,"n_rows":0,"n_cols":0,"rows_kept":0,"cut":false,"hidden":true,"merged":[]}

{"sheet":"WWF-Water-CountryRisk","index":90,"n_rows":262,"n_cols":33,"rows_kept":262,"cut":false,"hidden":true,"merged":[]}
["WWF Water Country Risk"]
["Source:","WWF Water Risk Filter - Country Profiles",null,null,null,null,null,"Max","Min","Risk level"]
["Accessed:","2025-01-01",null,null,null,null,null,5,{"$f":"H4","v":4.2},"Very High risk"]
[null,null,null,null,null,null,null,4.2,3.4,"High risk"]
[null,null,null,null,null,null,null,3.4,2.6,"Medium risk"]
[null,null,null,null,null,null,null,2.6,{"$f":"H7","v":1.8},"Low risk"]
[null,null,null,null,null,null,null,1.8,1,"Very low risk"]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"BPH","BRC1","BRC2","BRC3","BRC4","BRC5","BRG","BRC6","BRC7","BRC8","BRC9","BRP","BRC10","BRC11","BRC12"]
["Country Risk 2024",null,"Basin Physical Risk","1. Water Availability","2. Drought","3. Flooding","4. Water Quality","5. Ecosystem Services Status","Basin Regulatory Risk","6. Enabling Environment","7. Institutions & Governance","8. Management Instruments","9. WASH Infrastructure","Basin Reputational Risk","10. Environmental Factors","11. Socioeconomic Factors","12. Additional Reputational Factors"]
["ISO3Code","Country","BPH","BRC1","BRC2","BRC3","BRC4","BRC5","BRG","BRC6","BRC7","BRC8","BRC9","BRP","BRC10","BRC11","BRC12","IFC Country","BPH Risk Level",{"$f":"_xlfn.CONCAT(D11,\" Risk Level\")","v":"BRC1 Risk Level"},{"$f":"_xlfn.CONCAT(E11,\" Risk Level\")","v":"BRC2 Risk Level"},{"$f":"_xlfn.CONCAT(F11,\" Risk Level\")","v":"BRC3 Risk Level"},{"$f":"_xlfn.CONCAT(G11,\" Risk Level\")","v":"BRC4 Risk Level"},{"$f":"_xlfn.CONCAT(H11,\" Risk Level\")","v":"BRC5 Risk Level"},"BRG Risk Level",{"$f":"_xlfn.CONCAT(J11,\" Risk Level\")","v":"BRC6 Risk Level"},{"$f":"_xlfn.CONCAT(K11,\" Risk Level\")","v":"BRC7 Risk Level"},{"$f":"_xlfn.CONCAT(L11,\" Risk Level\")","v":"BRC8 Risk Level"},{"$f":"_xlfn.CONCAT(M11,\" Risk Level\")","v":"BRC9 Risk Level"},"BRP Risk Level",{"$f":"_xlfn.CONCAT(O11,\" Risk Level\")","v":"BRC10 Risk Level"},{"$f":"_xlfn.CONCAT(P11,\" Risk Level\")","v":"BRC11 Risk Level"},{"$f":"_xlfn.CONCAT(Q11,\" Risk Level\")","v":"BRC12 Risk Level"}]
["ABW","Aruba","NA","NA",2,1,"NA",2.2000000000000002,"NA","NA",3,2.4,"NA",3.34,4.0999999999999996,"NA",2.88,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B12,CountryMapping[WWF risk profile country],0)),\"\")","v":""},{"$f":"IF(C12=\"NA\",\"Data not available\",IF(C12>$I$3,$J$3,IF(C12>$I$4,$J$4,IF(C12>$I$5,$J$5,IF(C12>$I$6,$J$6,$J$7)))))","v":"Data not available"},"Data not available","Low risk","Very low risk","Data not available","Low risk","Data not available","Data not available","Medium risk","Low risk","Data not available","Medium risk","High risk","Data not available","Medium risk"]
["AFG","Afghanistan",2.77,2.9,3.05,2.59,2.56,2.52,4.05,3.92,4.4400000000000004,3.82,3.89,2.71,2.41,3.97,1.93,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B13,CountryMapping[WWF risk profile country],0)),\"\")","v":""},{"$f":"IF(C13=\"NA\",\"Data not available\",IF(C13>$I$3,$J$3,IF(C13>$I$4,$J$4,IF(C13>$I$5,$J$5,IF(C13>$I$6,$J$6,$J$7)))))","v":"Medium risk"},{"$f":"IF(D13=\"NA\",\"Data not available\",IF(D13>$I$3,$J$3,IF(D13>$I$4,$J$4,IF(D13>$I$5,$J$5,IF(D13>$I$6,$J$6,$J$7)))))","v":"Medium risk"},{"$f":"IF(E13=\"NA\",\"Data not available\",IF(E13>$I$3,$J$3,IF(E13>$I$4,$J$4,IF(E13>$I$5,$J$5,IF(E13>$I$6,$J$6,$J$7)))))","v":"Medium risk"},{"$f":"IF(F13=\"NA\",\"Data not available\",IF(F13>$I$3,$J$3,IF(F13>$I$4,$J$4,IF(F13>$I$5,$J$5,IF(F13>$I$6,$J$6,$J$7)))))","v":"Low risk"},{"$f":"IF(G13=\"NA\",\"Data not available\",IF(G13>$I$3,$J$3,IF(G13>$I$4,$J$4,IF(G13>$I$5,$J$5,IF(G13>$I$6,$J$6,$J$7)))))","v":"Low risk"},{"$f":"IF(H13=\"NA\",\"Data not available\",IF(H13>$I$3,$J$3,IF(H13>$I$4,$J$4,IF(H13>$I$5,$J$5,IF(H13>$I$6,$J$6,$J$7)))))","v":"Low risk"},{"$f":"IF(I13=\"NA\",\"Data not available\",IF(I13>$I$3,$J$3,IF(I13>$I$4,$J$4,IF(I13>$I$5,$J$5,IF(I13>$I$6,$J$6,$J$7)))))","v":"High risk"},"High risk","Very High risk","High risk",{"$f":"IF(M13=\"NA\",\"Data not available\",IF(M13>$I$3,$J$3,IF(M13>$I$4,$J$4,IF(M13>$I$5,$J$5,IF(M13>$I$6,$J$6,$J$7)))))","v":"High risk"},"Medium risk","Low risk","High risk",{"$f":"IF(Q13=\"NA\",\"Data not available\",IF(Q13>$I$3,$J$3,IF(Q13>$I$4,$J$4,IF(Q13>$I$5,$J$5,IF(Q13>$I$6,$J$6,$J$7)))))","v":"Low risk"}]
["AGO","Angola",2.27,1.75,3.42,2.0499999999999998,1.68,2.37,2.6,1.57,3.03,1.89,4.9800000000000004,3.05,3.35,3.87,2.0499999999999998,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B14,CountryMapping[WWF risk profile country],0)),\"\")","v":"Angola"},"Low risk","Very low risk","High risk","Low risk","Very low risk","Low risk","Low risk","Very low risk","Medium risk","Low risk","Very High risk","Medium risk","Medium risk","High risk","Low risk"]
["AIA","Anguilla",2.74,"NA",3.5,1.5,3.16,1.8,"NA","NA",2.88,2.4,"NA","NA",3.1,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B15,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","Data not available","High risk","Very low risk","Medium risk","Very low risk","Data not available","Data not available","Medium risk","Low risk","Data not available","Data not available","Medium risk","Data not available","Data not available"]
["ALB","Albania",2.64,2.41,2.3199999999999998,2.5,3.34,2.89,2.14,2.88,2.13,1.68,1.42,2.79,3.33,2.0499999999999998,2.87,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B16,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","Low risk","Low risk","Low risk","Medium risk","Medium risk","Low risk","Medium risk","Low risk","Very low risk","Very low risk","Medium risk","Medium risk","Low risk","Medium risk"]
["AND","Andorra",2.99,2.57,3.95,2,3.01,3.61,1.17,1.05,1.5,1,1,3.31,3.31,"NA",3.58,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B17,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","Low risk","High risk","Low risk","Medium risk","High risk","Very low risk","Very low risk","Very low risk","Very low risk","Very low risk","Medium risk","Medium risk","Data not available","High risk"]
["ARE","United Arab Emirates",3.28,4.5,4.12,1.92,2.5099999999999998,2.42,1.38,1.1100000000000001,1.59,1.63,1.0900000000000001,2.0699999999999998,2.89,2.02,1.29,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B18,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","Very High risk","High risk","Low risk","Low risk","Low risk","Very low risk","Very low risk","Very low risk","Very low risk","Very low risk","Low risk","Medium risk","Low risk","Very low risk"]
["ARG","Argentina",2.2999999999999998,2.2999999999999998,2.34,2.11,2.35,2.44,2.61,3.01,2.5099999999999998,2.93,1.5,2.88,3.05,2.61,2.93,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B19,CountryMapping[WWF risk profile country],0)),\"\")","v":"Argentina"},"Low risk","Low risk","Low risk","Low risk","Low risk","Low risk","Medium risk","Medium risk","Low risk","Medium risk","Very low risk","Medium risk","Medium risk","Medium risk","Medium risk"]
["ARM","Armenia",2.95,2.76,3.64,2.19,2.95,3.23,2.08,1.66,2.84,2.02,1.5,2.66,2.87,2.0099999999999998,3.01,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B20,CountryMapping[WWF risk profile country],0)),\"\")","v":"Armenia"},"Medium risk","Medium risk","High risk","Low risk","Medium risk","Medium risk","Low risk","Very low risk","Medium risk","Low risk","Very low risk","Medium risk","Medium risk","Low risk","Medium risk"]
["ASM","American Samoa","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B21,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["ATF","French Southern Territories","NA","NA","NA",1,"NA","NA","NA","NA","NA",2.85,"NA","NA",3.38,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B22,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Data not available","Very low risk","Data not available","Data not available","Data not available","Data not available","Data not available","Medium risk","Data not available","Data not available","Medium risk","Data not available","Data not available"]
["ATG","Antigua and Barbuda",2.81,"NA",3.5,2,2.82,2.2000000000000002,2.85,3.5,3.5,2.4,1,3.1,3.1,"NA",3.2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B23,CountryMapping[WWF risk profile country],0)),\"\")","v":"Antigua and Barbuda"},"Medium risk","Data not available","High risk","Low risk","Medium risk","Low risk","Medium risk","High risk","High risk","Low risk","Very low risk","Medium risk","Medium risk","Data not available","Medium risk"]
["AUS","Australia",2.42,2.7,2.79,2.0099999999999998,1.89,2.72,1.1100000000000001,1,1,1.43,1,2.2200000000000002,2.63,1.7,2.2599999999999998,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B24,CountryMapping[WWF risk profile country],0)),\"\")","v":"Australia"},"Low risk","Medium risk","Medium risk","Low risk","Low risk","Medium risk","Very low risk","Very low risk","Very low risk","Very low risk","Very low risk","Low risk","Medium risk","Very low risk","Low risk"]
["AUT","Austria",2.4500000000000002,1.82,2.4500000000000002,2.6,2.94,2.72,1.1499999999999999,1.01,1.49,1.01,1,2.5099999999999998,3.4,1.1000000000000001,2.84,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B25,CountryMapping[WWF risk profile country],0)),\"\")","v":"Austria"},"Low risk","Low risk","Low risk","Low risk","Medium risk","Medium risk","Very low risk","Very low risk","Very low risk","Very low risk","Very low risk","Low risk","Medium risk","Very low risk","Medium risk"]
["AZE","Azerbaijan",2.9,2.57,3.37,2.4,3.28,2.73,2.0699999999999998,1.55,3,2.16,1.1200000000000001,2.44,2.5499999999999998,2.62,2.17,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B26,CountryMapping[WWF risk profile country],0)),\"\")","v":"Azerbaijan"},"Medium risk","Low risk","Medium risk","Low risk","Medium risk","Medium risk","Low risk","Very low risk","Medium risk","Low risk","Very low risk","Low risk","Low risk","Medium risk","Low risk"]
["BDI","Burundi",2.29,1.1599999999999999,2.88,2.81,2.31,2.54,3.29,2.66,4.0199999999999996,2.41,4.58,3,4.08,2.97,1.94,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B27,CountryMapping[WWF risk profile country],0)),\"\")","v":"Burundi"},"Low risk","Very low risk","Medium risk","Medium risk","Low risk","Low risk","Medium risk","Medium risk","High risk","Low risk","Very High risk","Medium risk","High risk","Medium risk","Low risk"]
["BEL","Belgium",3,2.15,3.36,2.2400000000000002,4.33,3.14,1.42,1.94,1.45,1.02,1,2.79,3.31,1.55,3.34,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B28,CountryMapping[WWF risk profile country],0)),\"\")","v":"Belgium"},"Medium risk","Low risk","Medium risk","Low risk","Very High risk","Medium risk","Very low risk","Low risk","Very low risk","Very low risk","Very low risk","Medium risk","Medium risk","Very low risk","Medium risk"]
["BEN","Benin",2.77,1.69,4.42,2.52,2.2999999999999998,2.75,2.4300000000000002,1.58,2.12,2.56,4.5199999999999996,2.6,3.5,2.2799999999999998,1.98,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B29,CountryMapping[WWF risk profile country],0)),\"\")","v":"Benin"},"Medium risk","Very low risk","Very High risk","Low risk","Low risk","Medium risk","Low risk","Very low risk","Low risk","Low risk","Very High risk","Low risk","High risk","Low risk","Low risk"]
["BES1","Bonaire","NA","NA",2,1,"NA",2.2000000000000002,"NA","NA","NA",2.4,"NA",3.34,4.0999999999999996,"NA",2.88,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B30,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Low risk","Very low risk","Data not available","Low risk","Data not available","Data not available","Data not available","Low risk","Data not available","Medium risk","High risk","Data not available","Medium risk"]
["BES2","Saba","NA","NA",3.5,1.5,"NA",1.8,"NA","NA","NA",2.4,"NA","NA",3.1,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B31,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","High risk","Very low risk","Data not available","Very low risk","Data not available","Data not available","Data not available","Low risk","Data not available","Data not available","Medium risk","Data not available","Data not available"]
["BES3","Saint Eustatius",2.74,"NA",3.5,1.5,3.16,1.8,"NA","NA","NA",2.4,"NA","NA",3.1,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B32,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","Data not available","High risk","Very low risk","Medium risk","Very low risk","Data not available","Data not available","Data not available","Low risk","Data not available","Data not available","Medium risk","Data not available","Data not available"]
["BFA","Burkina Faso",2.85,2.17,4.05,2.42,2.5499999999999998,3.04,2.15,1.1200000000000001,2.0499999999999998,1.81,4.9400000000000004,2.5,3.14,3.25,1.2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B33,CountryMapping[WWF risk profile country],0)),\"\")","v":"Burkina Faso"},"Medium risk","Low risk","High risk","Low risk","Low risk","Medium risk","Low risk","Very low risk","Low risk","Low risk","Very High risk","Low risk","Medium risk","Medium risk","Very low risk"]
["BGD","Bangladesh",3.47,2.67,3.8,4.17,3.72,2.77,2.7,1.7,3.48,2.8,3,2.8,2.98,3.11,2.36,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B34,CountryMapping[WWF risk profile country],0)),\"\")","v":"Bangladesh"},"High risk","Medium risk","High risk","High risk","High risk","Medium risk","Medium risk","Very low risk","High risk","Medium risk","Medium risk","Medium risk","Medium risk","Medium risk","Low risk"]
["BGR","Bulgaria",2.42,1.83,1.9,2.62,3.36,2.95,2.0499999999999998,1.95,2.4700000000000002,1.71,1.95,2.2599999999999998,2.86,2.0099999999999998,1.86,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B35,CountryMapping[WWF risk profile country],0)),\"\")","v":"Bulgaria"},"Low risk","Low risk","Low risk","Medium risk","Medium risk","Medium risk","Low risk","Low risk","Low risk","Very low risk","Low risk","Low risk","Medium risk","Low risk","Low risk"]
["BHR","Bahrain",3.45,4.74,4.5,1,3.48,2.39,3.19,3.89,3.82,2.9,1,2.95,3.51,2.78,2.5299999999999998,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B36,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"High risk","Very High risk","Very High risk","Very low risk","High risk","Low risk","Medium risk","High risk","High risk","Medium risk","Very low risk","Medium risk","High risk","Medium risk","Low risk"]
["BHS","Bahamas",2.35,"NA",2.6,1.94,1.55,2.5299999999999998,3.1,3,3,4.3,1.5,2.46,2.87,"NA",1.6,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B37,CountryMapping[WWF risk profile country],0)),\"\")","v":"Bahamas"},"Low risk","Data not available","Low risk","Low risk","Very low risk","Low risk","Medium risk","Medium risk","Medium risk","Very High risk","Very low risk","Low risk","Medium risk","Data not available","Very low risk"]
["BIH","Bosnia and Herzegovina",2.25,1.62,2.04,2.4500000000000002,3.18,2.11,3.39,3.79,3.87,3.53,1.43,2.68,3.08,2.25,2.64,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B38,CountryMapping[WWF risk profile country],0)),\"\")","v":"Bosnia and Herzegovina"},"Low risk","Very low risk","Low risk","Low risk","Medium risk","Low risk","Medium risk","High risk","High risk","High risk","Very low risk","Medium risk","Medium risk","Low risk","Medium risk"]
["BLM","Saint Barthelemy","NA","NA",3.5,1.5,"NA",1.8,"NA","NA","NA",2.4,"NA","NA",3.1,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B39,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","High risk","Very low risk","Data not available","Very low risk","Data not available","Data not available","Data not available","Low risk","Data not available","Data not available","Medium risk","Data not available","Data not available"]
["BLR","Belarus",2.31,1.3,2.72,2.16,3.08,2.59,2,2.0299999999999998,2.95,1.38,1.08,2.33,3.16,2.25,1.57,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B40,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Low risk","Very low risk","Medium risk","Low risk","Medium risk","Low risk","Low risk","Low risk","Medium risk","Very low risk","Very low risk","Low risk","Medium risk","Low risk","Very low risk"]
["BLZ","Belize",2.02,1.32,2.54,2.2799999999999998,1.86,2.2799999999999998,3.37,3.99,3.58,3.13,2.13,2.91,3.43,2.93,2.37,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B41,CountryMapping[WWF risk profile country],0)),\"\")","v":"Belize"},"Low risk","Very low risk","Low risk","Low risk","Low risk","Low risk","Medium risk","High risk","High risk","Medium risk","Low risk","Medium risk","High risk","Medium risk","Low risk"]
["BMU","Bermuda","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B42,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["BOL","Bolivia",2.38,1.73,2.96,2.96,1.72,2.66,2.7,1.57,3.46,3,2.92,3.3,3.74,3.3,2.86,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B43,CountryMapping[WWF risk profile country],0)),\"\")","v":"Bolivia (Plurinational State of)"},"Low risk","Very low risk","Medium risk","Medium risk","Very low risk","Medium risk","Medium risk","Very low risk","High risk","Medium risk","Medium risk","Medium risk","High risk","Medium risk","Medium risk"]
["BRA","Brazil",2.37,1.96,3.06,2.5,1.73,2.68,2.2400000000000002,1.51,2.5,2.96,2,3.35,3.56,3.59,2.94,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B44,CountryMapping[WWF risk profile country],0)),\"\")","v":"Brazil"},"Low risk","Low risk","Medium risk","Low risk","Very low risk","Medium risk","Low risk","Very low risk","Low risk","Medium risk","Low risk","Medium risk","High risk","High risk","Medium risk"]
["BRB","Barbados",2.89,"NA",4,2,2.5,2.4,2.5299999999999998,3,2.56,2.4,1.76,2.8,3.3,2.2000000000000002,2.8,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B45,CountryMapping[WWF risk profile country],0)),\"\")","v":"Barbados"},"Medium risk","Data not available","High risk","Low risk","Low risk","Low risk","Low risk","Medium risk","Low risk","Low risk","Very low risk","Medium risk","Medium risk","Low risk","Medium risk"]
["BRN","Brunei Darussalam",1.73,1.01,1.62,2.0299999999999998,2.21,2.27,1.55,1.25,1.73,1.95,1.1000000000000001,3.04,3.41,"NA",2.72,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B46,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Very low risk","Very low risk","Very low risk","Low risk","Low risk","Low risk","Very low risk","Very low risk","Very low risk","Low risk","Very low risk","Medium risk","High risk","Data not available","Medium risk"]
["BTN","Bhutan",2.4700000000000002,1.75,2.82,3.14,2.39,2.2200000000000002,2.94,2.63,2.72,3.82,2.5299999999999998,2.57,3.17,2.61,1.93,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B47,CountryMapping[WWF risk profile country],0)),\"\")","v":"Bhutan"},"Low risk","Very low risk","Medium risk","Medium risk","Low risk","Low risk","Medium risk","Medium risk","Medium risk","High risk","Low risk","Low risk","Medium risk","Medium risk","Low risk"]
["BVT","Bouvet Island","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B48,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["BWA","Botswana",2.54,3.11,3.17,1.86,1.85,2.2400000000000002,2.88,2.95,2.98,2.57,3.04,2.68,2.5499999999999998,2.94,2.58,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B49,CountryMapping[WWF risk profile country],0)),\"\")","v":"Botswana"},"Low risk","Medium risk","Medium risk","Low risk","Low risk","Low risk","Medium risk","Medium risk","Medium risk","Low risk","Medium risk","Medium risk","Low risk","Medium risk","Low risk"]
["CAF","Central African Republic",1.77,1.61,2.15,1.84,1.46,1.74,3.47,3.52,2.56,3.6,4.99,2.84,3.36,3.51,1.74,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B50,CountryMapping[WWF risk profile country],0)),\"\")","v":"Central African Republic"},"Very low risk","Very low risk","Low risk","Low risk","Very low risk","Very low risk","High risk","High risk","Low risk","High risk","Very High risk","Medium risk","Medium risk","High risk","Very low risk"]
["CAN","Canada",1.68,1.41,1.89,1.47,1.66,2.29,2.35,"NA",2,2.81,1,2.42,2.4500000000000002,2.11,2.65,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B51,CountryMapping[WWF risk profile country],0)),\"\")","v":"Canada"},"Very low risk","Very low risk","Low risk","Very low risk","Very low risk","Low risk","Low risk","Data not available","Low risk","Medium risk","Very low risk","Low risk","Low risk","Low risk","Medium risk"]
["CCK","Cocos Islands","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B52,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["CHE","Switzerland",2.64,1.71,3.15,2.34,3.28,3.01,1.54,2.2200000000000002,1.08,1.61,1,2.64,3.65,1.41,2.69,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B53,CountryMapping[WWF risk profile country],0)),\"\")","v":"Switzerland"},"Medium risk","Very low risk","Medium risk","Low risk","Medium risk","Medium risk","Very low risk","Low risk","Very low risk","Very low risk","Very low risk","Medium risk","High risk","Very low risk","Medium risk"]
["CHL","Chile",2.33,2.78,2.4900000000000002,1.91,2.02,2.2799999999999998,3.13,4.45,2.52,3.53,1.04,2.76,2.9,2.7,2.67,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B54,CountryMapping[WWF risk profile country],0)),\"\")","v":"Chile"},"Low risk","Medium risk","Low risk","Low risk","Low risk","Low risk","Medium risk","Very High risk","Low risk","High risk","Very low risk","Medium risk","Medium risk","Medium risk","Medium risk"]
["CHN","China",2.5,2.2999999999999998,2.35,2.3199999999999998,2.82,3.09,1.76,1.01,2.5099999999999998,1.91,1.52,3,2.4900000000000002,3.98,2.66,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B55,CountryMapping[WWF risk profile country],0)),\"\")","v":"China"},"Low risk","Low risk","Low risk","Low risk","Medium risk","Medium risk","Very low risk","Very low risk","Low risk","Low risk","Very low risk","Medium risk","Low risk","High risk","Medium risk"]
["CIV","Côte d'Ivoire",2.31,1.62,3.39,2,1.84,2.9,3.25,3.89,2.5499999999999998,2.59,4.49,2.96,2.82,2.99,3.08,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B56,CountryMapping[WWF risk profile country],0)),\"\")","v":"Cote d'Ivoire"},"Low risk","Very low risk","Medium risk","Low risk","Low risk","Medium risk","Medium risk","High risk","Low risk","Low risk","Very High risk","Medium risk","Medium risk","Medium risk","Medium risk"]
["CMR","Cameroon",2.06,1.5,2.78,1.93,1.9,2.2200000000000002,3.65,3.98,3.5,2.91,4.51,2.83,3.46,3.22,1.87,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B57,CountryMapping[WWF risk profile country],0)),\"\")","v":"Cameroon"},"Low risk","Very low risk","Medium risk","Low risk","Low risk","Low risk","High risk","High risk","High risk","Medium risk","Very High risk","Medium risk","High risk","Medium risk","Low risk"]
["COD","Congo DRC",2.06,1.33,2.81,2.21,1.92,1.97,4.41,3.96,4.45,4.57,4.99,3.57,3.68,3.59,3.44,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B58,CountryMapping[WWF risk profile country],0)),\"\")","v":"Congo"},"Low risk","Very low risk","Medium risk","Low risk","Low risk","Low risk","Very High risk","High risk","Very High risk","Very High risk","Very High risk","High risk","High risk","High risk","High risk"]
["COG","Congo",1.85,1.39,2.33,2.27,1.38,1.92,3.68,3.54,3.99,3,4.51,3.18,4.2300000000000004,3.1,2.2000000000000002,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B59,CountryMapping[WWF risk profile country],0)),\"\")","v":"Democratic Republic of the Congo"},"Low risk","Very low risk","Low risk","Low risk","Very low risk","Low risk","High risk","High risk","High risk","Medium risk","Very High risk","Medium risk","Very High risk","Medium risk","Low risk"]
["COK","Cook Islands","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B60,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["COL","Colombia",2.31,1.74,2.77,3.06,1.7,2.2799999999999998,2.04,2.02,2.0499999999999998,2.38,1.53,3.39,3.56,3.97,2.71,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B61,CountryMapping[WWF risk profile country],0)),\"\")","v":"Colombia"},"Low risk","Very low risk","Medium risk","Medium risk","Very low risk","Low risk","Low risk","Low risk","Low risk","Low risk","Very low risk","Medium risk","High risk","High risk","Medium risk"]
["COM","Comoros","NA","NA",2.5,1.5,"NA",1.8,3.22,2.5,3.5,3,4.5,2.84,3.5,2.8,2.2000000000000002,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B62,CountryMapping[WWF risk profile country],0)),\"\")","v":"Comoros"},"Data not available","Data not available","Low risk","Very low risk","Data not available","Very low risk","Medium risk","Low risk","High risk","Medium risk","Very High risk","Medium risk","High risk","Medium risk","Low risk"]
["CPV","Cabo Verde","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B63,CountryMapping[WWF risk profile country],0)),\"\")","v":"Cabo Verde"},"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["CRI","Costa Rica",2.62,1.71,3.85,2.58,2.04,3.02,2.19,2.5499999999999998,2.65,1.78,1.22,2.4300000000000002,3.29,1.99,1.95,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B64,CountryMapping[WWF risk profile country],0)),\"\")","v":"Costa Rica"},"Medium risk","Very low risk","High risk","Low risk","Low risk","Medium risk","Low risk","Low risk","Medium risk","Very low risk","Very low risk","Low risk","Medium risk","Low risk","Low risk"]
["CUB","Cuba",2.76,2.78,2.85,2.42,2.74,3.24,1.63,1.5,2,1.1200000000000001,2,2.6,3.21,2.8,1.81,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B65,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","Medium risk","Medium risk","Low risk","Medium risk","Medium risk","Very low risk","Very low risk","Low risk","Very low risk","Low risk","Low risk","Medium risk","Medium risk","Low risk"]
["CUW","Curacao","NA","NA",2,1,"NA",2.2000000000000002,"NA","NA","NA",2.4,"NA",3.34,4.0999999999999996,"NA",2.88,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B66,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Low risk","Very low risk","Data not available","Low risk","Data not available","Data not available","Data not available","Low risk","Data not available","Medium risk","High risk","Data not available","Medium risk"]
["CXR","Christmas Island","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B67,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["CYM","Cayman Islands","NA","NA","NA",1.37,"NA","NA","NA","NA",3,2.56,"NA",2.68,3.49,"NA",1.6,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B68,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Data not available","Very low risk","Data not available","Data not available","Data not available","Data not available","Medium risk","Low risk","Data not available","Medium risk","High risk","Data not available","Very low risk"]
["CYP","Cyprus",2.89,2.85,3.49,1.5,3.54,2.99,1.3,1,2,1,1,2.39,2.86,1.6,2.61,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B69,CountryMapping[WWF risk profile country],0)),\"\")","v":"Cyprus"},"Medium risk","Medium risk","High risk","Very low risk","High risk","Medium risk","Very low risk","Very low risk","Low risk","Very low risk","Very low risk","Low risk","Medium risk","Very low risk","Medium risk"]
["CZE","Czech Republic",2.7,2.04,2.87,2.36,3.61,2.82,1.3,1.02,1.96,1.03,1.03,2.52,3.55,1.42,2.42,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B70,CountryMapping[WWF risk profile country],0)),\"\")","v":"Czech Republic"},"Medium risk","Low risk","Medium risk","Low risk","High risk","Medium risk","Very low risk","Very low risk","Low risk","Very low risk","Very low risk","Low risk","High risk","Very low risk","Low risk"]
["DEU","Germany",2.73,1.72,3.2,2.37,3.65,2.95,1.02,1.02,1.02,1.01,1.01,2.86,3.27,2.06,3.12,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B71,CountryMapping[WWF risk profile country],0)),\"\")","v":"Germany"},"Medium risk","Very low risk","Medium risk","Low risk","High risk","Medium risk","Very low risk","Very low risk","Very low risk","Very low risk","Very low risk","Medium risk","Medium risk","Low risk","Medium risk"]
["DJI","Djibouti",3.05,2.82,4.3499999999999996,2.46,"NA",1.67,3.47,"NA",3.5,3.55,4.2,2.4300000000000002,3,2.71,1.62,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B72,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","Medium risk","Very High risk","Low risk","Data not available","Very low risk","High risk","Data not available","High risk","High risk","High risk","Low risk","Medium risk","Medium risk","Very low risk"]
["DMA","Dominica","NA","NA",3.5,2,"NA",2.2999999999999998,2.85,3,3,2.4,3,"NA",3,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B73,CountryMapping[WWF risk profile country],0)),\"\")","v":"Dominica"},"Data not available","Data not available","High risk","Low risk","Data not available","Low risk","Medium risk","Medium risk","Medium risk","Low risk","Medium risk","Data not available","Medium risk","Data not available","Data not available"]
["DNK","Denmark",1.89,1.21,2.06,1.24,3.04,2.14,1,1,1,1,1,2.42,3.8,1.01,2.27,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B74,CountryMapping[WWF risk profile country],0)),\"\")","v":"Denmark"},"Low risk","Very low risk","Low risk","Very low risk","Medium risk","Low risk","Very low risk","Very low risk","Very low risk","Very low risk","Very low risk","Low risk","High risk","Very low risk","Low risk"]
["DOM","Dominican Republic",3.11,2.87,3.39,2.72,3.22,3.52,2.79,3.5,2.62,2.4500000000000002,2.2599999999999998,2.87,3.45,2.09,2.97,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B75,CountryMapping[WWF risk profile country],0)),\"\")","v":"Dominican Republic"},"Medium risk","Medium risk","Medium risk","Medium risk","Medium risk","High risk","Medium risk","High risk","Medium risk","Low risk","Low risk","Medium risk","High risk","Low risk","Medium risk"]
["DT1","Aksai Chin (disputed)",2.48,2.88,2.31,1.7,"NA",2.42,"NA","NA","NA",3.13,"NA","NA",2.23,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B76,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Low risk","Medium risk","Low risk","Very low risk","Data not available","Low risk","Data not available","Data not available","Data not available",{"$f":"IF(L76=\"NA\",\"Data not available\",IF(L76>$I$3,$J$3,IF(L76>$I$4,$J$4,IF(L76>$I$5,$J$5,IF(L76>$I$6,$J$6,$J$7)))))","v":"Medium risk"},"Data not available","Data not available","Low risk",{"$f":"IF(P76=\"NA\",\"Data not available\",IF(P76>$I$3,$J$3,IF(P76>$I$4,$J$4,IF(P76>$I$5,$J$5,IF(P76>$I$6,$J$6,$J$7)))))","v":"Data not available"},"Data not available"]
["DT2","Abyei (disputed)",2.81,2.15,3.49,3.64,2.06,2.6,"NA","NA","NA",2.78,"NA","NA",2.98,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B77,CountryMapping[WWF risk profile country],0)),\"\")","v":""},{"$f":"IF(C77=\"NA\",\"Data not available\",IF(C77>$I$3,$J$3,IF(C77>$I$4,$J$4,IF(C77>$I$5,$J$5,IF(C77>$I$6,$J$6,$J$7)))))","v":"Medium risk"},{"$f":"IF(D77=\"NA\",\"Data not available\",IF(D77>$I$3,$J$3,IF(D77>$I$4,$J$4,IF(D77>$I$5,$J$5,IF(D77>$I$6,$J$6,$J$7)))))","v":"Low risk"},{"$f":"IF(E77=\"NA\",\"Data not available\",IF(E77>$I$3,$J$3,IF(E77>$I$4,$J$4,IF(E77>$I$5,$J$5,IF(E77>$I$6,$J$6,$J$7)))))","v":"High risk"},{"$f":"IF(F77=\"NA\",\"Data not available\",IF(F77>$I$3,$J$3,IF(F77>$I$4,$J$4,IF(F77>$I$5,$J$5,IF(F77>$I$6,$J$6,$J$7)))))","v":"High risk"},{"$f":"IF(G77=\"NA\",\"Data not available\",IF(G77>$I$3,$J$3,IF(G77>$I$4,$J$4,IF(G77>$I$5,$J$5,IF(G77>$I$6,$J$6,$J$7)))))","v":"Low risk"},{"$f":"IF(H77=\"NA\",\"Data not available\",IF(H77>$I$3,$J$3,IF(H77>$I$4,$J$4,IF(H77>$I$5,$J$5,IF(H77>$I$6,$J$6,$J$7)))))","v":"Low risk"},{"$f":"IF(I77=\"NA\",\"Data not available\",IF(I77>$I$3,$J$3,IF(I77>$I$4,$J$4,IF(I77>$I$5,$J$5,IF(I77>$I$6,$J$6,$J$7)))))","v":"Data not available"},"Data not available","Data not available","Medium risk",{"$f":"IF(M77=\"NA\",\"Data not available\",IF(M77>$I$3,$J$3,IF(M77>$I$4,$J$4,IF(M77>$I$5,$J$5,IF(M77>$I$6,$J$6,$J$7)))))","v":"Data not available"},"Data not available","Medium risk","Data not available","Data not available"]
["DT3","Western Sahara (disputed)",2.52,3.31,3.5,1.28,1.98,1.7,"NA","NA","NA",2.44,"NA",2.52,2.6,"NA",2.02,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B78,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Low risk","Medium risk","High risk","Very low risk","Low risk","Very low risk","Data not available","Data not available","Data not available","Low risk","Data not available","Low risk","Low risk","Data not available","Low risk"]
["DT4","Arunachal Pradesh (disputed)",2.64,1.75,3.6,3.25,2.04,2.48,"NA","NA","NA",3.24,"NA","NA",2.96,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B79,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","Very low risk","High risk","Medium risk","Low risk","Low risk","Data not available","Data not available","Data not available","Medium risk","Data not available","Data not available","Medium risk","Data not available","Data not available"]
["DZA","Algeria",2.76,3.33,3.72,1.64,2.31,2.04,2.92,2.4900000000000002,3.48,3.01,2.52,2.61,2.61,3.09,2.1800000000000002,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B80,CountryMapping[WWF risk profile country],0)),\"\")","v":"Algeria"},"Medium risk","Medium risk","High risk","Very low risk","Low risk","Low risk","Medium risk","Low risk","High risk","Medium risk","Low risk","Medium risk","Medium risk","Medium risk","Low risk"]
["ECU","Ecuador",2.63,1.74,3.92,2.74,2.02,2.67,3.13,3,4.38,2.42,2.08,2.99,4.01,2.4300000000000002,2.44,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B81,CountryMapping[WWF risk profile country],0)),\"\")","v":"Ecuador"},"Medium risk","Very low risk","High risk","Medium risk","Low risk","Medium risk","Medium risk","Medium risk","Very High risk","Low risk","Low risk","Medium risk","High risk","Low risk","Low risk"]
["EGY","Egypt",2.95,3.74,4.07,1.52,2.52,1.93,2.61,2.02,3.99,2.58,1.06,2.71,2.39,3.31,2.5299999999999998,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B82,CountryMapping[WWF risk profile country],0)),\"\")","v":"Egypt"},"Medium risk","High risk","High risk","Very low risk","Low risk","Low risk","Medium risk","Low risk","High risk","Low risk","Very low risk","Medium risk","Low risk","Medium risk","Low risk"]
["ERI","Eritrea",2.94,2.75,4.4800000000000004,2.0099999999999998,2.46,2.34,3.58,"NA",3.49,3.56,4.97,2.57,2.87,3.25,1.7,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B83,CountryMapping[WWF risk profile country],0)),\"\")","v":"Eritrea"},"Medium risk","Medium risk","Very High risk","Low risk","Low risk","Low risk","High risk","Data not available","High risk","High risk","Very High risk","Low risk","Medium risk","Medium risk","Very low risk"]
["ESP","Spain",3.05,2.83,3.35,2.14,3.56,3.69,1.1599999999999999,1.01,1.51,1.02,1,2.48,2.69,1.69,2.95,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B84,CountryMapping[WWF risk profile country],0)),\"\")","v":"Spain"},"Medium risk","Medium risk","Medium risk","Low risk","High risk","High risk","Very low risk","Very low risk","Very low risk","Very low risk","Very low risk","Low risk","Medium risk","Very low risk","Medium risk"]
["ESP2","Canarias",2.97,"NA",4,2,3.08,2,"NA","NA","NA",1.6,"NA","NA",3.2,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B85,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","Data not available","High risk","Low risk","Medium risk","Low risk","Data not available","Data not available","Data not available","Very low risk","Data not available","Data not available","Medium risk","Data not available","Data not available"]
["EST","Estonia",2.33,1.86,3.58,1.4,2.31,2.3199999999999998,1.06,1.02,1.1299999999999999,1,1.0900000000000001,2.31,3.39,1.1599999999999999,2.2200000000000002,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B86,CountryMapping[WWF risk profile country],0)),\"\")","v":"Estonia"},"Low risk","Low risk","High risk","Very low risk","Low risk","Low risk","Very low risk","Very low risk","Very low risk","Very low risk","Very low risk","Low risk","Medium risk","Very low risk","Low risk"]
["ETH","Ethiopia",2.5,1.95,3.44,2.2799999999999998,2.2599999999999998,2.4300000000000002,3.6,3.48,3.51,3,4.99,2.76,3.08,3.42,1.89,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B87,CountryMapping[WWF risk profile country],0)),\"\")","v":"Ethiopia"},"Low risk","Low risk","High risk","Low risk","Low risk","Low risk","High risk","High risk","High risk","Medium risk","Very High risk","Medium risk","Medium risk","High risk","Low risk"]
["FIN","Finland",1.7,1.1100000000000001,2.39,1.3,1.55,2.54,1.35,1.02,1.53,1.73,1.04,2.25,2.86,1.46,2.31,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B88,CountryMapping[WWF risk profile country],0)),\"\")","v":"Finland"},"Very low risk","Very low risk","Low risk","Very low risk","Very low risk","Low risk","Very low risk","Very low risk","Very low risk","Very low risk","Very low risk","Low risk","Medium risk","Very low risk","Low risk"]
["FJI","Fiji",2.12,1.1399999999999999,3.13,2.25,1.81,2.46,2.82,4,2.5,2.2999999999999998,2,2.5,3.64,1.6,2.12,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B89,CountryMapping[WWF risk profile country],0)),\"\")","v":"Fiji"},"Low risk","Very low risk","Medium risk","Low risk","Low risk","Low risk","Medium risk","High risk","Low risk","Low risk","Low risk","Low risk","High risk","Very low risk","Low risk"]
["FLK","Falkland Islands","NA","NA",2,1,"NA",1.6,"NA","NA","NA",3.6,"NA","NA",3.24,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B90,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Low risk","Very low risk","Data not available","Very low risk","Data not available","Data not available","Data not available","High risk","Data not available","Data not available","Medium risk","Data not available","Data not available"]
["FRA","France",2.63,1.62,2.89,2.2000000000000002,3.62,3.34,1.45,2,1.49,1,1,2.78,3.14,2.09,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B91,CountryMapping[WWF risk profile country],0)),\"\")","v":"France"},"Medium risk","Very low risk","Medium risk","Low risk","High risk","Medium risk","Very low risk","Low risk","Very low risk","Very low risk","Very low risk","Medium risk","Medium risk","Low risk","Medium risk"]
["FRA2","Clipperton","NA","NA","NA",1,"NA","NA","NA","NA","NA",3,"NA","NA",2.7,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B92,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Data not available","Very low risk","Data not available","Data not available","Data not available","Data not available","Data not available","Medium risk","Data not available","Data not available","Medium risk","Data not available","Data not available"]
["FRO","Faroe Islands","NA","NA",2.5,1,"NA","NA","NA","NA","NA",2.4,"NA",2.79,3.8,"NA",1.6,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B93,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Low risk","Very low risk","Data not available","Data not available","Data not available","Data not available","Data not available","Low risk","Data not available","Medium risk","High risk","Data not available","Very low risk"]
["FSM","Micronesia","NA","NA",3,1,"NA","NA",2.5,3.5,2.31,1.7,2.23,2.86,3.3,2.2000000000000002,2.98,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B94,CountryMapping[WWF risk profile country],0)),\"\")","v":"Micronesia (Federated States of)"},"Data not available","Data not available","Medium risk","Very low risk","Data not available","Data not available","Low risk","High risk","Low risk","Very low risk","Low risk","Medium risk","Medium risk","Low risk","Medium risk"]
["GAB","Gabon",1.94,1.87,2.4900000000000002,1.78,1.62,1.69,3.78,4.4400000000000004,3.06,3.7,4.0199999999999996,3.14,4.16,2.25,2.87,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B95,CountryMapping[WWF risk profile country],0)),\"\")","v":"Gabon"},"Low risk","Low risk","Low risk","Very low risk","Very low risk","Very low risk","High risk","Very High risk","Medium risk","High risk","High risk","Medium risk","High risk","Low risk","Medium risk"]
["GBR","United Kingdom",2.2000000000000002,1.36,1.84,2.29,3.28,2.86,1,1,1,1,1.03,2.95,3.43,2.37,2.96,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B96,CountryMapping[WWF risk profile country],0)),\"\")","v":"United Kingdom"},"Low risk","Very low risk","Low risk","Low risk","Medium risk","Medium risk","Very low risk","Very low risk","Very low risk","Very low risk","Very low risk","Medium risk","High risk","Low risk","Medium risk"]
["GEO","Georgia",2.65,2.2400000000000002,3.34,2.46,2.44,2.73,2.06,2.4300000000000002,1.58,1.99,2.39,2.42,2.66,2.08,2.4700000000000002,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B97,CountryMapping[WWF risk profile country],0)),\"\")","v":"Georgia"},"Medium risk","Low risk","Medium risk","Low risk","Low risk","Medium risk","Low risk","Low risk","Very low risk","Low risk","Low risk","Low risk","Medium risk","Low risk","Low risk"]
["GGY","Guernsey",2.72,"NA",2.5,1.5,4,2.5,"NA","NA","NA",1,"NA",3.6,4,"NA",3.72,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B98,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","Data not available","Low risk","Very low risk","High risk","Low risk","Data not available","Data not available","Data not available","Very low risk","Data not available","High risk","High risk","Data not available","High risk"]
["GHA","Ghana",2.83,1.62,4.41,2.73,2.39,3.04,2.75,2.02,3,2.5299999999999998,4.05,2.66,2.88,3,2.17,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B99,CountryMapping[WWF risk profile country],0)),\"\")","v":"Ghana"},"Medium risk","Very low risk","Very High risk","Medium risk","Low risk","Medium risk","Medium risk","Low risk","Medium risk","Low risk","High risk","Medium risk","Medium risk","Medium risk","Low risk"]
["GIB","Gibraltar","NA","NA",3,2,"NA",4,"NA","NA","NA",1,"NA",3.1,2.5,"NA",3.79,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B100,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Medium risk","Low risk","Data not available","High risk","Data not available","Data not available","Data not available","Very low risk","Data not available","Medium risk","Low risk","Data not available","High risk"]
["GIN","Guinea",2.08,1.62,2.52,1.93,1.85,2.89,3.89,3.97,3.94,3.38,4.4800000000000004,2.85,3.55,2.92,2.0699999999999998,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B101,CountryMapping[WWF risk profile country],0)),\"\")","v":"Guinea"},"Low risk","Very low risk","Low risk","Low risk","Low risk","Medium risk","High risk","High risk","High risk","Medium risk","Very High risk","Medium risk","High risk","Medium risk","Low risk"]
["GLP","Guadeloupe",2.72,"NA",3.5,2,2.3199999999999998,2.2999999999999998,"NA","NA","NA",2.4,"NA",2.93,3,"NA",2.8,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B102,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","Data not available","High risk","Low risk","Low risk","Low risk","Data not available","Data not available","Data not available","Low risk","Data not available","Medium risk","Medium risk","Data not available","Medium risk"]
["GMB","Gambia",2.71,2.3199999999999998,3.25,2.81,2.5,2.54,2.93,3.02,2.85,2.29,4,2.66,3.57,2.1800000000000002,2.17,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B103,CountryMapping[WWF risk profile country],0)),\"\")","v":"Gambia"},"Medium risk","Low risk","Medium risk","Medium risk","Low risk","Low risk","Medium risk","Medium risk","Medium risk","Low risk","High risk","Medium risk","High risk","Low risk","Low risk"]
["GNB","Guinea-Bissau",2.13,1.93,2.4500000000000002,1.86,2.0499999999999998,2.5099999999999998,4.26,4.37,4.3600000000000003,3.87,4.4800000000000004,2.81,3.77,2.04,2.52,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B104,CountryMapping[WWF risk profile country],0)),\"\")","v":"Guinea-Bissau"},"Low risk","Low risk","Low risk","Low risk","Low risk","Low risk","Very High risk","Very High risk","Very High risk","High risk","Very High risk","Medium risk","High risk","Low risk","Low risk"]
["GNQ","Equatorial Guinea",2.0499999999999998,2.09,1.89,1.41,"NA",1.68,3.9,3.26,4.18,4.2300000000000004,4.05,2.91,4.2,2.69,1.8,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B105,CountryMapping[WWF risk profile country],0)),\"\")","v":"Equatorial Guinea"},"Low risk","Low risk","Low risk","Very low risk","Data not available","Very low risk","High risk","Medium risk","High risk","Very High risk","High risk","Medium risk","High risk","Medium risk","Very low risk"]
["GRC","Greece",2.67,2.72,2.15,2.2200000000000002,3.53,3.05,1.41,1.1399999999999999,2.0499999999999998,1.21,1.03,2.31,3.01,1.65,2.16,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B106,CountryMapping[WWF risk profile country],0)),\"\")","v":"Greece"},"Medium risk","Medium risk","Low risk","Low risk","High risk","Medium risk","Very low risk","Very low risk","Low risk","Very low risk","Very low risk","Low risk","Medium risk","Very low risk","Low risk"]
["GRD","Grenada","NA","NA",4,2,"NA",2.4,2.5299999999999998,3,2.56,2.4,1.76,3.03,3.3,"NA",2.8,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B107,CountryMapping[WWF risk profile country],0)),\"\")","v":"Grenada"},"Data not available","Data not available","High risk","Low risk","Data not available","Low risk","Low risk","Medium risk","Low risk","Low risk","Very low risk","Medium risk","Medium risk","Data not available","Medium risk"]
["GRL","Greenland","NA","NA",2.57,1,"NA",1.71,"NA","NA",2.5,3.6,"NA",2.62,2.9,"NA",2.02,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B108,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Low risk","Very low risk","Data not available","Very low risk","Data not available","Data not available","Low risk","High risk","Data not available","Medium risk","Medium risk","Data not available","Low risk"]
["GTM","Guatemala",2.56,1.52,3.25,2.88,2.5099999999999998,2.92,3.7,3.93,3.95,3.65,2.83,3.19,3.18,3.32,3.08,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B109,CountryMapping[WWF risk profile country],0)),\"\")","v":"Guatemala"},"Low risk","Very low risk","Medium risk","Medium risk","Low risk","Medium risk","High risk","High risk","High risk","High risk","Medium risk","Medium risk","Medium risk","Medium risk","Medium risk"]
["GUF","French Guiana",1.81,1.72,2.5499999999999998,1.64,1.19,1.73,"NA","NA",2.54,3,"NA",3.07,4.1900000000000004,"NA",2.0299999999999998,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B110,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Low risk","Very low risk","Low risk","Very low risk","Very low risk","Very low risk","Data not available","Data not available","Low risk","Medium risk","Data not available","Medium risk","High risk","Data not available","Low risk"]
["GUM","Guam","NA","NA","NA",2,"NA","NA","NA","NA",2.5,2.4,"NA",2.4,2.7,"NA",1.6,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B111,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Data not available","Low risk","Data not available","Data not available","Data not available","Data not available","Low risk","Low risk","Data not available","Low risk","Medium risk","Data not available","Very low risk"]
["GUY","Guyana",2.0299999999999998,1.48,2.91,2.37,1.24,2.12,3.68,4.3899999999999997,3.49,3.79,2.4500000000000002,2.74,3.82,2.27,2.0699999999999998,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B112,CountryMapping[WWF risk profile country],0)),\"\")","v":"Guyana"},"Low risk","Very low risk","Medium risk","Low risk","Very low risk","Low risk","High risk","Very High risk","High risk","High risk","Low risk","Medium risk","High risk","Low risk","Low risk"]
["HMD","Heard Island and McDonald Islands","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B113,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["HND","Honduras",2.46,1.35,3.04,3.01,2.29,3.03,3.67,3.95,4,3.62,2.5299999999999998,3.09,3.08,3.29,2.94,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B114,CountryMapping[WWF risk profile country],0)),\"\")","v":"Honduras"},"Low risk","Very low risk","Medium risk","Medium risk","Low risk","Medium risk","High risk","High risk","High risk","High risk","Low risk","Medium risk","Medium risk","Medium risk","Medium risk"]
["HRV","Croatia",2.2000000000000002,1.36,1.85,2.39,3.31,2.58,1.53,1.34,2.19,1.27,1.05,2.2000000000000002,3.07,1.72,1.75,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B115,CountryMapping[WWF risk profile country],0)),\"\")","v":"Croatia"},"Low risk","Very low risk","Low risk","Low risk","Medium risk","Low risk","Very low risk","Very low risk","Low risk","Very low risk","Very low risk","Low risk","Medium risk","Very low risk","Very low risk"]
["HTI","Haiti",3,2.79,3.15,2.96,2.99,3.2,3.37,3.5,3.4,2.78,4.04,3,3.27,2.73,2.96,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B116,CountryMapping[WWF risk profile country],0)),\"\")","v":"Haiti"},"Medium risk","Medium risk","Medium risk","Medium risk","Medium risk","Medium risk","Medium risk","High risk","Medium risk","Medium risk","High risk","Medium risk","Medium risk","Medium risk","Medium risk"]
["HUN","Hungary",2.48,1.23,2.2599999999999998,2.91,3.73,2.77,1.36,1.0900000000000001,2.02,1.0900000000000001,1.06,2.27,3.11,1.35,2.21,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B117,CountryMapping[WWF risk profile country],0)),\"\")","v":"Hungary"},"Low risk","Very low risk","Low risk","Medium risk","High risk","Medium risk","Very low risk","Very low risk","Low risk","Very low risk","Very low risk","Low risk","Medium risk","Very low risk","Low risk"]
["IDN","Indonesia",2.16,1.7,2.52,2.19,1.94,2.78,2.4,2.0099999999999998,2.5,2.68,2.5099999999999998,3.12,3.36,3,2.98,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B118,CountryMapping[WWF risk profile country],0)),\"\")","v":"Indonesia"},"Low risk","Very low risk","Low risk","Low risk","Low risk","Medium risk","Low risk","Low risk","Low risk","Medium risk","Low risk","Medium risk","Medium risk","Medium risk","Medium risk"]
["IMN","Isle of Man","NA","NA",2,1,"NA","NA","NA","NA","NA",2.4,"NA",2.76,3.3,"NA",2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B119,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Low risk","Very low risk","Data not available","Data not available","Data not available","Data not available","Data not available","Low risk","Data not available","Medium risk","Medium risk","Data not available","Low risk"]
["IND","India",3.24,3.14,3.29,2.98,3.48,3.37,3.35,3.48,3.49,3.22,3,2.95,2.52,3.78,2.66,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B120,CountryMapping[WWF risk profile country],0)),\"\")","v":"India"},"Medium risk","Medium risk","Medium risk","Medium risk","High risk","Medium risk","Medium risk","High risk","High risk","Medium risk","Medium risk","Medium risk","Low risk","High risk","Medium risk"]
["IOT","British Indian Ocean Territory","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B121,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["IRL","Ireland",1.92,1.08,1.89,2.04,2.73,2.27,1.21,1,1,1,2.41,2.27,3.31,1.08,2.25,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B122,CountryMapping[WWF risk profile country],0)),\"\")","v":"Ireland"},"Low risk","Very low risk","Low risk","Low risk","Medium risk","Low risk","Very low risk","Very low risk","Very low risk","Very low risk","Low risk","Low risk","Medium risk","Very low risk","Low risk"]
["IRN","Iran",3.03,3.46,3.45,2.31,2.79,2.79,3,2.4900000000000002,3.99,3.03,2,2.69,2.4300000000000002,3.99,1.82,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B123,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","High risk","High risk","Low risk","Medium risk","Medium risk","Medium risk","Low risk","High risk","Medium risk","Low risk","Medium risk","Low risk","High risk","Low risk"]
["IRQ","Iraq",3,3.43,3.44,2.13,2.88,2.84,2.4500000000000002,2.0299999999999998,3.47,2.58,1.06,3.02,2.6,3.51,3.03,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B124,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","High risk","High risk","Low risk","Medium risk","Medium risk","Low risk","Low risk","High risk","Low risk","Very low risk","Medium risk","Low risk","High risk","Medium risk"]
["ISL","Iceland",1.67,1.6,2.58,1.1399999999999999,1.18,1.56,1.3,2,1,1,1,2.2799999999999998,3.02,1,2.63,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B125,CountryMapping[WWF risk profile country],0)),\"\")","v":"Iceland"},"Very low risk","Very low risk","Low risk","Very low risk","Very low risk","Very low risk","Very low risk","Low risk","Very low risk","Very low risk","Very low risk","Low risk","Medium risk","Very low risk","Medium risk"]
["ISR","Israel",3.47,3.56,4.46,2.12,3.64,3.12,1.58,1.56,2.17,1.2,1.04,2.89,2.17,3.18,3.37,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B126,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"High risk","High risk","Very High risk","Low risk","High risk","Medium risk","Very low risk","Very low risk","Low risk","Very low risk","Very low risk","Medium risk","Low risk","Medium risk","Medium risk"]
["ITA","Italy",2.85,2.16,2.87,2.21,3.84,3.76,1.39,1,1.5,1.98,1,2.82,3.02,2.09,3.24,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B127,CountryMapping[WWF risk profile country],0)),\"\")","v":"Italy"},"Medium risk","Low risk","Medium risk","Low risk","High risk","High risk","Very low risk","Very low risk","Very low risk","Low risk","Very low risk","Medium risk","Medium risk","Low risk","Medium risk"]
["JAM","Jamaica",2.94,2,4.5,2.5,2.96,2.2000000000000002,2.2799999999999998,2.5,3,1,2.5,3.1,3.6,2.2999999999999998,3.3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B128,CountryMapping[WWF risk profile country],0)),\"\")","v":"Jamaica"},"Medium risk","Low risk","Very High risk","Low risk","Medium risk","Low risk","Low risk","Low risk","Medium risk","Very low risk","Low risk","Medium risk","High risk","Low risk","Medium risk"]
["JEY","Jersey",2.72,"NA",2.5,1.5,4,2.5,"NA","NA",1.5,1,"NA",3.6,4,"NA",3.72,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B129,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","Data not available","Low risk","Very low risk","High risk","Low risk","Data not available","Data not available","Very low risk","Very low risk","Data not available","High risk","High risk","Data not available","High risk"]
["JOR","Jordan",3.12,3.59,4.28,1.77,2.76,2.4900000000000002,1.74,1.29,2.59,1.65,1.1000000000000001,2.84,2.73,3.09,2.73,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B130,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","High risk","Very High risk","Very low risk","Medium risk","Low risk","Very low risk","Very low risk","Low risk","Very low risk","Very low risk","Medium risk","Medium risk","Medium risk","Medium risk"]
["JPN","Japan",2.2599999999999998,1.78,1.85,2.44,2.8,3.11,1,1,1,1,1,2.64,3.47,1.7,2.63,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B131,CountryMapping[WWF risk profile country],0)),\"\")","v":"Japan"},"Low risk","Very low risk","Low risk","Low risk","Medium risk","Medium risk","Very low risk","Very low risk","Very low risk","Very low risk","Very low risk","Medium risk","High risk","Very low risk","Medium risk"]
["KAZ","Kazakhstan",2.19,2.23,2.4500000000000002,1.71,2.4,1.98,2.41,3.45,2.0299999999999998,2.15,1.51,2.25,2.25,2.33,2.1800000000000002,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B132,CountryMapping[WWF risk profile country],0)),\"\")","v":"Kazakhstan"},"Low risk","Low risk","Low risk","Very low risk","Low risk","Low risk","Low risk","High risk","Low risk","Low risk","Very low risk","Low risk","Low risk","Low risk","Low risk"]
["KEN","Kenya",2.34,2.11,2.5099999999999998,2.56,2.2599999999999998,2.1800000000000002,2.86,1.6,3.01,3.18,4.53,2.94,3.21,3.42,2.27,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B133,CountryMapping[WWF risk profile country],0)),\"\")","v":"Kenya"},"Low risk","Low risk","Low risk","Low risk","Low risk","Low risk","Medium risk","Very low risk","Medium risk","Medium risk","Very High risk","Medium risk","Medium risk","High risk","Low risk"]
["KGZ","Kyrgyzstan",2.58,2.67,3.24,1.81,2.3199999999999998,2.72,3.18,3.44,4.38,2.19,1.94,2.4,2.35,3.08,1.87,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B134,CountryMapping[WWF risk profile country],0)),\"\")","v":"Kyrgyzstan"},"Low risk","Medium risk","Medium risk","Low risk","Low risk","Medium risk","Medium risk","High risk","Very High risk","Low risk","Low risk","Low risk","Low risk","Medium risk","Low risk"]
["KHM","Cambodia",2.66,2.13,2.89,3.26,2.2999999999999998,2.88,2.4500000000000002,2.02,2.52,2.0699999999999998,3.81,3.04,3.15,2.8,3.15,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B135,CountryMapping[WWF risk profile country],0)),\"\")","v":"Cambodia"},"Medium risk","Low risk","Medium risk","Medium risk","Low risk","Medium risk","Low risk","Low risk","Low risk","Low risk","High risk","Medium risk","Medium risk","Medium risk","Medium risk"]
["KIR","Kiribati","NA","NA","NA",1.5,"NA","NA",2.96,"NA",2.98,2.4,3.75,2.68,3.5,1.6,2.8,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B136,CountryMapping[WWF risk profile country],0)),\"\")","v":"Kiribati"},"Data not available","Data not available","Data not available","Very low risk","Data not available","Data not available","Medium risk","Data not available","Medium risk","Low risk","High risk","Medium risk","High risk","Very low risk","Medium risk"]
["KNA","Saint Kitts and Nevis",2.74,"NA",3.5,1.5,3.16,1.8,2.59,3,2.88,2.4,1.5,3.14,3.1,"NA",3.3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B137,CountryMapping[WWF risk profile country],0)),\"\")","v":"Saint Kitts and Nevis"},"Medium risk","Data not available","High risk","Very low risk","Medium risk","Very low risk","Low risk","Medium risk","Medium risk","Low risk","Very low risk","Medium risk","Medium risk","Data not available","Medium risk"]
["KOR","South Korea",2.9,2.36,2.98,2.87,3.54,2.82,1.65,1.98,1.63,1.62,1.1000000000000001,2.74,3.21,1.81,3.05,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B138,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","Low risk","Medium risk","Medium risk","High risk","Medium risk","Very low risk","Low risk","Very low risk","Very low risk","Very low risk","Medium risk","Medium risk","Low risk","Medium risk"]
["KWT","Kuwait",3.08,3.77,4.33,1.46,2.65,2.3199999999999998,1.71,1.56,2.09,1.78,1.1000000000000001,2.63,2.73,2.99,2.23,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B139,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","High risk","Very High risk","Very low risk","Medium risk","Low risk","Very low risk","Very low risk","Low risk","Very low risk","Very low risk","Medium risk","Medium risk","Medium risk","Low risk"]
["LAO","Laos",2.4700000000000002,1.65,3.2,3.08,1.65,3.16,2.65,2.46,2.99,2.0699999999999998,3.33,3.21,3.28,3.15,3.2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B140,CountryMapping[WWF risk profile country],0)),\"\")","v":"Lao People's Democratic Republic"},"Low risk","Very low risk","Medium risk","Medium risk","Very low risk","Medium risk","Medium risk","Low risk","Medium risk",{"$f":"IF(L140=\"NA\",\"Data not available\",IF(L140>$I$3,$J$3,IF(L140>$I$4,$J$4,IF(L140>$I$5,$J$5,IF(L140>$I$6,$J$6,$J$7)))))","v":"Low risk"},"Medium risk","Medium risk","Medium risk","Medium risk","Medium risk"]
["LBN","Lebanon",3.38,3.45,3.62,2,4.43,3.27,3.04,2.92,4.0599999999999996,2.76,1.66,3.17,2.93,3.34,3.25,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B141,CountryMapping[WWF risk profile country],0)),\"\")","v":"Lebanon"},{"$f":"IF(C141=\"NA\",\"Data not available\",IF(C141>$I$3,$J$3,IF(C141>$I$4,$J$4,IF(C141>$I$5,$J$5,IF(C141>$I$6,$J$6,$J$7)))))","v":"Medium risk"},{"$f":"IF(D141=\"NA\",\"Data not available\",IF(D141>$I$3,$J$3,IF(D141>$I$4,$J$4,IF(D141>$I$5,$J$5,IF(D141>$I$6,$J$6,$J$7)))))","v":"High risk"},{"$f":"IF(E141=\"NA\",\"Data not available\",IF(E141>$I$3,$J$3,IF(E141>$I$4,$J$4,IF(E141>$I$5,$J$5,IF(E141>$I$6,$J$6,$J$7)))))","v":"High risk"},{"$f":"IF(F141=\"NA\",\"Data not available\",IF(F141>$I$3,$J$3,IF(F141>$I$4,$J$4,IF(F141>$I$5,$J$5,IF(F141>$I$6,$J$6,$J$7)))))","v":"Low risk"},{"$f":"IF(G141=\"NA\",\"Data not available\",IF(G141>$I$3,$J$3,IF(G141>$I$4,$J$4,IF(G141>$I$5,$J$5,IF(G141>$I$6,$J$6,$J$7)))))","v":"Very High risk"},{"$f":"IF(H141=\"NA\",\"Data not available\",IF(H141>$I$3,$J$3,IF(H141>$I$4,$J$4,IF(H141>$I$5,$J$5,IF(H141>$I$6,$J$6,$J$7)))))","v":"Medium risk"},{"$f":"IF(I141=\"NA\",\"Data not available\",IF(I141>$I$3,$J$3,IF(I141>$I$4,$J$4,IF(I141>$I$5,$J$5,IF(I141>$I$6,$J$6,$J$7)))))","v":"Medium risk"},"Medium risk","High risk","Medium risk",{"$f":"IF(M141=\"NA\",\"Data not available\",IF(M141>$I$3,$J$3,IF(M141>$I$4,$J$4,IF(M141>$I$5,$J$5,IF(M141>$I$6,$J$6,$J$7)))))","v":"Very low risk"},"Medium risk","Medium risk","Medium risk",{"$f":"IF(Q141=\"NA\",\"Data not available\",IF(Q141>$I$3,$J$3,IF(Q141>$I$4,$J$4,IF(Q141>$I$5,$J$5,IF(Q141>$I$6,$J$6,$J$7)))))","v":"Medium risk"}]
["LBR","Liberia",1.98,1.55,2.2400000000000002,2.04,1.81,2.68,3.78,3.05,3.94,4.04,4.5,2.77,3.64,1.71,2.81,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B142,CountryMapping[WWF risk profile country],0)),\"\")","v":"Liberia"},"Low risk","Very low risk","Low risk","Low risk","Low risk","Medium risk","High risk","Medium risk","High risk","High risk","Very High risk","Medium risk","High risk","Very low risk","Medium risk"]
["LBY","Libya",2.76,3.61,4,1.1200000000000001,2.38,1.61,2.97,2.99,3.98,2.58,1.56,2.71,2.5299999999999998,3.69,2.06,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B143,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","High risk","High risk","Very low risk","Low risk","Very low risk","Medium risk","Medium risk","High risk","Low risk","Very low risk","Medium risk","Low risk","High risk","Low risk"]
["LCA","Saint Lucia",2.89,"NA",4,2,2.5,2.4,2.5299999999999998,3,2.56,2.4,1.76,3.03,3.3,"NA",2.8,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B144,CountryMapping[WWF risk profile country],0)),\"\")","v":"Saint Lucia"},"Medium risk","Data not available","High risk","Low risk","Low risk","Low risk","Low risk","Medium risk","Low risk","Low risk","Very low risk","Medium risk","Medium risk","Data not available","Medium risk"]
["LIE","Liechtenstein",2.39,1.8,2.66,2,2.99,2.8,1.77,2.02,1.1599999999999999,1.48,"NA",3.09,3.55,"NA",2.7,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B145,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Low risk","Very low risk","Medium risk","Low risk","Medium risk","Medium risk","Very low risk","Low risk","Very low risk","Very low risk","Data not available","Medium risk","High risk","Data not available","Medium risk"]
["LKA","Sri Lanka",3.14,2.5299999999999998,3.7,2.94,3.28,3.38,2.83,3,3.5,2,2.5,2.48,2.52,3,1.99,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B146,CountryMapping[WWF risk profile country],0)),\"\")","v":"Sri Lanka"},"Medium risk","Low risk","High risk","Medium risk","Medium risk","Medium risk","Medium risk","Medium risk","High risk","Low risk","Low risk","Low risk","Low risk","Medium risk","Low risk"]
["LSO","Lesotho",2.48,1.92,3.23,2.4300000000000002,2.38,2.3199999999999998,2.82,1.93,2.87,2.91,4.33,2.42,2,2.76,2.5499999999999998,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B147,CountryMapping[WWF risk profile country],0)),\"\")","v":"Lesotho"},"Low risk","Low risk","Medium risk","Low risk","Low risk","Low risk","Medium risk","Low risk","Medium risk","Medium risk","Very High risk","Low risk","Low risk","Medium risk","Low risk"]
["LTU","Lithuania",2.23,1.33,2.74,1.74,2.94,2.8,2.27,2,2.94,2.2599999999999998,1.5,2.2799999999999998,3.52,1.39,1.8,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B148,CountryMapping[WWF risk profile country],0)),\"\")","v":"Lithuania"},"Low risk","Very low risk","Medium risk","Very low risk","Medium risk","Medium risk","Low risk","Low risk","Medium risk","Low risk","Very low risk","Low risk","High risk","Very low risk","Very low risk"]
["LUX","Luxembourg",2.57,1.41,2.93,2.1800000000000002,3.83,2.78,1.37,1.6,1.1599999999999999,1.56,1,3.06,3.79,1.71,3.48,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B149,CountryMapping[WWF risk profile country],0)),\"\")","v":"Luxembourg"},"Low risk","Very low risk","Medium risk","Low risk","High risk","Medium risk","Very low risk","Very low risk","Very low risk","Very low risk","Very low risk","Medium risk","High risk","Very low risk","High risk"]
["LVA","Latvia",2.09,1.22,2.69,1.81,2.5099999999999998,2.4700000000000002,1.68,1.96,2.0299999999999998,1.04,1.5,2.0699999999999998,2.94,1.36,1.81,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B150,CountryMapping[WWF risk profile country],0)),\"\")","v":"Latvia"},"Low risk","Very low risk","Medium risk","Low risk","Low risk","Low risk","Very low risk","Low risk","Low risk","Very low risk","Very low risk","Low risk","Medium risk","Very low risk","Low risk"]
["MAF","Saint Martin",2.74,"NA",3.5,1.5,3.16,1.8,"NA","NA","NA",2.4,"NA","NA",3.1,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B151,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","Data not available","High risk","Very low risk","Medium risk","Very low risk","Data not available","Data not available","Data not available","Low risk","Data not available","Data not available","Medium risk","Data not available","Data not available"]
["MAR","Morocco",2.99,3.11,3.48,2.0299999999999998,3.2,2.99,2.08,1.05,2.54,2.2200000000000002,2.98,2.92,2.63,3.3,2.9,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B152,CountryMapping[WWF risk profile country],0)),\"\")","v":"Morocco"},"Medium risk","Medium risk","High risk","Low risk","Medium risk","Medium risk","Low risk","Very low risk","Low risk","Low risk","Medium risk","Medium risk","Medium risk","Medium risk","Medium risk"]
["MCO","Monaco","NA","NA",3.5,2,"NA",3.5,1.45,2,1.5,1,1,3.56,3.8,"NA",3.79,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B153,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","High risk","Low risk","Data not available","High risk","Very low risk","Low risk","Very low risk","Very low risk","Very low risk","High risk","High risk","Data not available","High risk"]
["MDA","Moldova",2.69,1.59,3.24,2.68,3.58,2.3199999999999998,2.48,2.34,2.6,2.65,2.27,2.2999999999999998,3.03,1.73,2.0499999999999998,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B154,CountryMapping[WWF risk profile country],0)),\"\")","v":"Moldova"},"Medium risk","Very low risk","Medium risk","Medium risk","High risk","Low risk","Low risk","Low risk","Low risk","Medium risk","Low risk","Low risk","Medium risk","Very low risk","Low risk"]
["MDG","Madagascar",2.4,1.99,2.99,2.5299999999999998,1.74,2.95,3.42,3,4,2.2999999999999998,5,2.73,3.07,2.5,2.59,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B155,CountryMapping[WWF risk profile country],0)),\"\")","v":"Madagascar"},"Low risk","Low risk","Medium risk","Low risk","Very low risk","Medium risk","High risk","Medium risk","High risk","Low risk","Very High risk","Medium risk","Medium risk","Low risk","Low risk"]
["MDV","Maldives","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B156,CountryMapping[WWF risk profile country],0)),\"\")","v":"Maldives"},"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["MEX","Mexico",2.72,2.65,2.87,2.37,2.73,3.24,2.89,2.99,3.48,2.91,1.5,3.24,2.76,3.69,3.34,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B157,CountryMapping[WWF risk profile country],0)),\"\")","v":"Mexico"},"Medium risk","Medium risk","Medium risk","Low risk","Medium risk","Medium risk","Medium risk","Medium risk","High risk","Medium risk","Very low risk","Medium risk","Medium risk","High risk","Medium risk"]
["MHL","Marshall Islands","NA","NA","NA",1.5,"NA","NA",2.96,3,2.98,2.4,3.75,2.68,3.5,1.6,2.8,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B158,CountryMapping[WWF risk profile country],0)),\"\")","v":"Marshall Islands"},"Data not available","Data not available","Data not available","Very low risk","Data not available","Data not available","Medium risk","Medium risk","Medium risk","Low risk","High risk","Medium risk","High risk","Very low risk","Medium risk"]
["MKD","North Macedonia",2.57,2.19,2.54,2.15,3.17,3.2,3.12,3.99,3.49,2.88,1.05,2.2599999999999998,2.72,2.25,1.82,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B159,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Low risk","Low risk","Low risk","Low risk","Medium risk","Medium risk","Medium risk","High risk","High risk","Medium risk","Very low risk","Low risk","Medium risk","Low risk","Low risk"]
["MLI","Mali",2.6,2.99,3.25,2.09,2.04,2.12,2.48,2.5099999999999998,2.52,1.5,4.01,2.35,2.4300000000000002,3.09,1.63,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B160,CountryMapping[WWF risk profile country],0)),\"\")","v":"Mali"},"Low risk","Medium risk","Medium risk","Low risk","Low risk","Low risk","Low risk","Low risk","Low risk","Very low risk","High risk","Low risk","Low risk","Medium risk","Very low risk"]
["MLT","Malta",3.15,"NA",4.5,1.5,3.28,3.2,1.45,1,2.5,1,1,2.4900000000000002,2.8,1.3,3.2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B161,CountryMapping[WWF risk profile country],0)),\"\")","v":"Malta"},"Medium risk","Data not available","Very High risk","Very low risk","Medium risk","Medium risk","Very low risk","Very low risk","Low risk","Very low risk","Very low risk","Low risk","Medium risk","Very low risk","Medium risk"]
["MMR","Myanmar",2.62,1.99,3.1,2.88,2.4700000000000002,2.8,3.14,2.4900000000000002,3.48,3.32,3.45,3.18,3.66,2.63,3.16,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B162,CountryMapping[WWF risk profile country],0)),\"\")","v":"Myanmar"},"Medium risk","Low risk","Medium risk","Medium risk","Low risk","Medium risk","Medium risk","Low risk","High risk","Medium risk","High risk","Medium risk","High risk","Medium risk","Medium risk"]
["MNE","Montenegro",2.34,1.99,2.2599999999999998,2.52,2.65,2.4,2.75,2.83,3.96,2.14,1.19,2.5299999999999998,2.86,2.11,2.57,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B163,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Low risk","Low risk","Low risk","Low risk","Medium risk","Low risk","Medium risk","Medium risk","High risk","Low risk","Very low risk","Low risk","Medium risk","Low risk","Low risk"]
["MNG","Mongolia",2.15,2.59,2.35,1.52,2.0699999999999998,1.95,3.03,2.4500000000000002,3.46,3,3.4,2.2000000000000002,2.71,1.72,2.1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B164,CountryMapping[WWF risk profile country],0)),\"\")","v":"Mongolia"},"Low risk","Low risk","Low risk","Very low risk","Low risk","Low risk","Medium risk","Low risk","High risk","Medium risk","Medium risk","Low risk","Medium risk","Very low risk","Low risk"]
["MNP","Northern Mariana Islands","NA","NA","NA",2,"NA","NA","NA","NA","NA",2.4,"NA",2.4,2.7,"NA",1.6,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B165,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Data not available","Low risk","Data not available","Data not available","Data not available","Data not available","Data not available","Low risk","Data not available","Low risk","Medium risk","Data not available","Very low risk"]
["MOZ","Mozambique",2.48,1.97,3.38,2.58,1.86,2.54,2.2599999999999998,1.03,2.5,2.13,4.49,3.04,3.17,3.87,2.2000000000000002,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B166,CountryMapping[WWF risk profile country],0)),\"\")","v":"Mozambique"},"Low risk","Low risk","Medium risk","Low risk","Low risk","Low risk","Low risk","Very low risk","Low risk","Low risk","Very High risk","Medium risk","Medium risk","High risk","Low risk"]
["MRT","Mauritania",2.69,3.27,3.9,1.64,1.89,1.89,3.06,2.48,2.5,3.59,4.45,2.2799999999999998,2.2200000000000002,3,1.74,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B167,CountryMapping[WWF risk profile country],0)),\"\")","v":"Mauritania"},"Medium risk","Medium risk","High risk","Very low risk","Low risk","Low risk","Medium risk","Low risk","Low risk","High risk","Very High risk","Low risk","Low risk","Medium risk","Very low risk"]
["MSR","Montserrat",2.81,"NA",3.5,2,2.82,2.2000000000000002,"NA","NA","NA",2.4,"NA","NA",3.1,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B168,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","Data not available","High risk","Low risk","Medium risk","Low risk","Data not available","Data not available","Data not available","Low risk","Data not available","Data not available","Medium risk","Data not available","Data not available"]
["MTQ","Martinique",2.89,"NA",4,2,2.5,2.4,"NA","NA",2.56,2.4,"NA",3.03,3.3,"NA",2.8,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B169,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","Data not available","High risk","Low risk","Low risk","Low risk","Data not available","Data not available","Low risk","Low risk","Data not available","Medium risk","Medium risk","Data not available","Medium risk"]
["MUS","Mauritius","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B170,CountryMapping[WWF risk profile country],0)),\"\")","v":"Mauritius"},"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["MWI","Malawi",2.58,1.85,3.12,2.76,2.5,2.83,2.19,1.06,2.4900000000000002,1.76,4.5199999999999996,2.34,3.24,2.09,1.65,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B171,CountryMapping[WWF risk profile country],0)),\"\")","v":"Malawi"},"Low risk","Low risk","Medium risk","Medium risk","Low risk","Medium risk","Low risk","Very low risk","Low risk","Very low risk","Very High risk","Low risk","Medium risk","Low risk","Very low risk"]
["MYS","Malaysia",2.2200000000000002,1.33,2.64,2.5499999999999998,2.15,2.87,2.29,2,2.5,2.88,1.5,2.5099999999999998,3.42,2.6,1.52,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B172,CountryMapping[WWF risk profile country],0)),\"\")","v":"Malaysia"},"Low risk","Very low risk","Medium risk","Low risk","Low risk","Medium risk","Low risk","Low risk","Low risk","Medium risk","Very low risk","Low risk","High risk","Low risk","Very low risk"]
["MYT","Mayotte","NA","NA",2.5,1.5,"NA",1.8,"NA","NA","NA",3,"NA","NA",3.5,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B173,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Low risk","Very low risk","Data not available","Very low risk","Data not available","Data not available","Data not available","Medium risk","Data not available","Data not available","High risk","Data not available","Data not available"]
["NAM","Namibia",2.57,3.28,3.29,1.7,1.88,2.13,2.89,2.48,2.99,2.61,3.99,2.44,2.25,2.93,2.19,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B174,CountryMapping[WWF risk profile country],0)),\"\")","v":"Namibia"},"Low risk","Medium risk","Medium risk","Very low risk","Low risk","Low risk","Medium risk","Low risk","Medium risk","Medium risk","High risk","Low risk","Low risk","Medium risk","Low risk"]
["NCL","New Caledonia",2.5299999999999998,"NA",3.92,1.5,1.54,1.9,"NA","NA","NA",2.4,"NA",3.5,4.3600000000000003,"NA",3.06,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B175,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Low risk","Data not available","High risk","Very low risk","Very low risk","Low risk","Data not available","Data not available","Data not available","Low risk","Data not available","High risk","Very High risk","Data not available","Medium risk"]
["NER","Niger",2.82,3.3,3.9,2.0499999999999998,2.0299999999999998,2.09,2.62,2.04,2.52,2.02,4.95,2.12,2.34,2.27,1.78,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B176,CountryMapping[WWF risk profile country],0)),\"\")","v":"Niger"},"Medium risk","Medium risk","High risk","Low risk","Low risk","Low risk","Medium risk","Low risk","Low risk","Low risk","Very High risk","Low risk","Low risk","Low risk","Very low risk"]
["NFK","Norfolk Island","NA","NA","NA",1,"NA","NA","NA","NA","NA","NA","NA","NA",2.7,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B177,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Data not available","Very low risk","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Medium risk","Data not available","Data not available"]
["NGA","Nigeria",2.87,2.04,3.96,2.7,2.72,2.85,3.31,2.99,3.48,2.79,4.51,2.86,3.06,3.37,2.21,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B178,CountryMapping[WWF risk profile country],0)),\"\")","v":"Nigeria"},"Medium risk","Low risk","High risk","Medium risk","Medium risk","Medium risk","Medium risk","Medium risk","High risk","Medium risk","Very High risk","Medium risk","Medium risk","Medium risk","Low risk"]
["NIC","Nicaragua",2.4900000000000002,1.31,3.56,3.09,1.96,2.6,3.28,3.02,3.98,2.7,3.4,2.7,3.23,3.07,1.84,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B179,CountryMapping[WWF risk profile country],0)),\"\")","v":"Nicaragua"},"Low risk","Very low risk","High risk","Medium risk","Low risk","Low risk","Medium risk","Medium risk","High risk","Medium risk","Medium risk","Medium risk","Medium risk","Medium risk","Low risk"]
["NLD","Netherlands",2.89,1.87,3.2,2.65,4.13,2.69,1.02,1.05,1.03,1,1,2.91,3.81,1.46,3.25,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B180,CountryMapping[WWF risk profile country],0)),\"\")","v":"Netherlands"},"Medium risk","Low risk","Medium risk","Medium risk","High risk","Medium risk","Very low risk","Very low risk","Very low risk","Very low risk","Very low risk","Medium risk","High risk","Very low risk","Medium risk"]
["NOR","Norway",1.62,1.44,1.84,1.46,1.53,2.0499999999999998,1.31,1.98,1.01,1.07,1,2.04,2.5299999999999998,1.01,2.44,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B181,CountryMapping[WWF risk profile country],0)),\"\")","v":"Norway"},"Very low risk","Very low risk","Low risk","Very low risk","Very low risk","Low risk","Very low risk","Low risk","Very low risk","Very low risk","Very low risk","Low risk","Low risk","Very low risk","Low risk"]
["NPL","Nepal",2.91,2.14,3.37,3.29,2.8,3.11,3.12,3.43,2.5499999999999998,3.54,2.93,2.87,3.39,2.92,2.29,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B182,CountryMapping[WWF risk profile country],0)),\"\")","v":"Nepal"},"Medium risk","Low risk","Medium risk","Medium risk","Medium risk","Medium risk","Medium risk","High risk","Low risk","High risk","Medium risk","Medium risk","Medium risk","Medium risk","Low risk"]
["NRU","Nauru","NA","NA","NA",1.5,"NA","NA",2.96,"NA",2.98,2.4,3.75,2.68,3.5,1.6,2.8,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B183,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Data not available","Very low risk","Data not available","Data not available","Medium risk","Data not available","Medium risk","Low risk","High risk","Medium risk","High risk","Very low risk","Medium risk"]
["NZL","New Zealand",2.02,1.41,2.5099999999999998,1.95,1.71,3.06,1.63,2,1.5,1.72,1,2.13,3.07,1.6,1.64,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B184,CountryMapping[WWF risk profile country],0)),\"\")","v":"New Zealand"},"Low risk","Very low risk","Low risk","Low risk","Very low risk","Medium risk","Very low risk","Low risk","Very low risk","Very low risk","Very low risk","Low risk","Medium risk","Very low risk","Very low risk"]
["OMN","Oman",2.77,3.58,3.47,2.0099999999999998,2.15,1.75,1.57,1.08,2.02,1.63,1.54,2.4500000000000002,2.91,2.54,1.9,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B185,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","High risk","High risk","Low risk","Low risk","Very low risk","Very low risk","Very low risk","Low risk","Very low risk","Very low risk","Low risk","Medium risk","Low risk","Low risk"]
["PAK","Pakistan",3.12,3.31,3.33,2.92,2.92,2.93,2.91,2.19,3.12,3.17,3.48,2.76,2.7,3.52,2.17,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B186,CountryMapping[WWF risk profile country],0)),\"\")","v":"Pakistan"},"Medium risk","Medium risk","Medium risk","Medium risk","Medium risk","Medium risk","Medium risk","Low risk","Medium risk","Medium risk","High risk","Medium risk","Medium risk","High risk","Low risk"]
["PAN","Panama",2.39,1.88,3.49,2.14,1.77,2.62,3.05,2.97,3.93,2.4500000000000002,2.4500000000000002,2.71,3.35,2.25,2.48,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B187,CountryMapping[WWF risk profile country],0)),\"\")","v":"Panama"},"Low risk","Low risk","High risk","Low risk","Very low risk","Medium risk","Medium risk","Medium risk","High risk","Low risk","Low risk","Medium risk","Medium risk","Low risk","Low risk"]
["PCN","Pitcairn","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B188,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["PER","Peru",2.61,2.1800000000000002,3.25,3.06,1.9,2.59,3.21,2.95,3.47,3.34,2.95,3.38,3.69,3.39,3.08,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B189,CountryMapping[WWF risk profile country],0)),\"\")","v":"Peru"},"Medium risk","Low risk","Medium risk","Medium risk","Low risk","Low risk","Medium risk","Medium risk","High risk","Medium risk","Medium risk","Medium risk","High risk","Medium risk","Medium risk"]
["PHL","Philippines",2.52,1.61,2.85,2.69,2.84,2.94,2.25,2,2.5,2.09,2.5,3.14,3.22,3.6,2.65,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B190,CountryMapping[WWF risk profile country],0)),\"\")","v":"Philippines"},"Low risk","Very low risk","Medium risk","Medium risk","Medium risk","Medium risk","Low risk","Low risk","Low risk","Low risk","Low risk","Medium risk","Medium risk","High risk","Medium risk"]
["PLW","Palau","NA","NA",3,1,"NA","NA",2.35,"NA",2.31,1.7,2.23,3.1,3.3,"NA",2.98,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B191,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Medium risk","Very low risk","Data not available","Data not available","Low risk","Data not available","Low risk","Very low risk","Low risk","Medium risk","Medium risk","Data not available","Medium risk"]
["PNG","Papua New Guinea",2.0699999999999998,1.47,2.89,2.11,1.5,2.54,4.1500000000000004,3.98,3.49,4.68,4.96,2.67,3.4,2.21,2.3199999999999998,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B192,CountryMapping[WWF risk profile country],0)),\"\")","v":"Papua New Guinea"},"Low risk","Very low risk","Medium risk","Low risk","Very low risk","Low risk","High risk","High risk","High risk","Very High risk","Very High risk","Medium risk","Medium risk","Low risk","Low risk"]
["POL","Poland",2.4,1.46,2.66,1.85,3.65,2.72,1.64,1.51,1.54,1.73,1.97,2.73,3.34,1.64,3.05,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B193,CountryMapping[WWF risk profile country],0)),\"\")","v":"Poland"},"Low risk","Very low risk","Medium risk","Low risk","High risk","Medium risk","Very low risk","Very low risk","Very low risk","Very low risk","Low risk","Medium risk","Medium risk","Very low risk","Medium risk"]
["PRI","Puerto Rico",3.01,2,3.97,2.48,3.73,2.79,"NA","NA",3,2.4,"NA",2.78,1.81,"NA",3.56,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B194,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","Low risk","High risk","Low risk","High risk","Medium risk","Data not available","Data not available","Medium risk","Low risk","Data not available","Medium risk","Low risk","Data not available","High risk"]
["PRK","North Korea",2.4300000000000002,1.7,2.72,2.48,2.73,2.76,2.5,1.51,3.79,2.2400000000000002,2.36,2.74,2.97,3.52,1.83,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B195,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Low risk","Very low risk","Medium risk","Low risk","Medium risk","Medium risk","Low risk","Very low risk","High risk","Low risk","Low risk","Medium risk","Medium risk","High risk","Low risk"]
["PRT","Portugal",2.78,2.21,2.96,2.33,3.33,3.61,1.48,1,1.99,1.76,1,2.38,2.89,1.34,2.75,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B196,CountryMapping[WWF risk profile country],0)),\"\")","v":"Portugal"},"Medium risk","Low risk","Medium risk","Low risk","Medium risk","High risk","Very low risk","Very low risk","Low risk","Very low risk","Very low risk","Low risk","Medium risk","Very low risk","Medium risk"]
["PRT2","Azores","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B197,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["PRT3","Madeira",2.97,"NA",4,2,3.08,2,"NA","NA","NA",1.6,"NA","NA",3.2,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B198,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","Data not available","High risk","Low risk","Medium risk","Low risk","Data not available","Data not available","Data not available","Very low risk","Data not available","Data not available","Medium risk","Data not available","Data not available"]
["PRY","Paraguay",2.4,1.66,2.92,3.06,1.79,2.89,3.48,3.86,3.92,3.65,1.58,2.86,3.48,2.93,2.2000000000000002,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B199,CountryMapping[WWF risk profile country],0)),\"\")","v":"Paraguay"},"Low risk","Very low risk","Medium risk","Medium risk","Very low risk","Medium risk","High risk","High risk","High risk","High risk","Very low risk","Medium risk","High risk","Medium risk","Low risk"]
["PSE","Palestinian Territory",3.68,3.72,4.5,2.29,4.26,3.14,2.29,"NA",2.66,1.75,1,3.03,2.29,"NA",3.79,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B200,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"High risk","High risk","Very High risk","Low risk","Very High risk","Medium risk","Low risk","Data not available","Medium risk","Very low risk","Very low risk","Medium risk","Low risk","Data not available","High risk"]
["PYF","French Polynesia","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B201,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["QAT","Qatar",3.02,3.66,4.2,1.22,2.9,2.29,1.8,2.57,1.53,1.65,1.03,2.65,3.12,2.54,2.2599999999999998,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B202,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","High risk","High risk","Very low risk","Medium risk","Low risk","Very low risk","Low risk","Very low risk","Very low risk","Very low risk","Medium risk","Medium risk","Low risk","Low risk"]
["REU","Réunion","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B203,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["ROU","Romania",2.56,1.62,2.44,2.75,3.55,2.84,1.49,1.08,2.0299999999999998,1.06,1.97,2.16,2.85,1.64,1.9,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B204,CountryMapping[WWF risk profile country],0)),\"\")","v":"Romania"},"Low risk","Very low risk","Low risk","Medium risk","High risk","Medium risk","Very low risk","Very low risk","Low risk",{"$f":"IF(L204=\"NA\",\"Data not available\",IF(L204>$I$3,$J$3,IF(L204>$I$4,$J$4,IF(L204>$I$5,$J$5,IF(L204>$I$6,$J$6,$J$7)))))","v":"Very low risk"},"Low risk","Low risk","Medium risk",{"$f":"IF(P204=\"NA\",\"Data not available\",IF(P204>$I$3,$J$3,IF(P204>$I$4,$J$4,IF(P204>$I$5,$J$5,IF(P204>$I$6,$J$6,$J$7)))))","v":"Very low risk"},"Low risk"]
["RUS","Russian Federation",1.79,1.36,1.89,2.08,1.69,2.27,1.74,1.01,2.5,1.54,2,3.1,2.81,3.29,3.23,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B205,CountryMapping[WWF risk profile country],0)),\"\")","v":""},{"$f":"IF(C205=\"NA\",\"Data not available\",IF(C205>$I$3,$J$3,IF(C205>$I$4,$J$4,IF(C205>$I$5,$J$5,IF(C205>$I$6,$J$6,$J$7)))))","v":"Very low risk"},{"$f":"IF(D205=\"NA\",\"Data not available\",IF(D205>$I$3,$J$3,IF(D205>$I$4,$J$4,IF(D205>$I$5,$J$5,IF(D205>$I$6,$J$6,$J$7)))))","v":"Very low risk"},{"$f":"IF(E205=\"NA\",\"Data not available\",IF(E205>$I$3,$J$3,IF(E205>$I$4,$J$4,IF(E205>$I$5,$J$5,IF(E205>$I$6,$J$6,$J$7)))))","v":"Low risk"},{"$f":"IF(F205=\"NA\",\"Data not available\",IF(F205>$I$3,$J$3,IF(F205>$I$4,$J$4,IF(F205>$I$5,$J$5,IF(F205>$I$6,$J$6,$J$7)))))","v":"Low risk"},{"$f":"IF(G205=\"NA\",\"Data not available\",IF(G205>$I$3,$J$3,IF(G205>$I$4,$J$4,IF(G205>$I$5,$J$5,IF(G205>$I$6,$J$6,$J$7)))))","v":"Very low risk"},{"$f":"IF(H205=\"NA\",\"Data not available\",IF(H205>$I$3,$J$3,IF(H205>$I$4,$J$4,IF(H205>$I$5,$J$5,IF(H205>$I$6,$J$6,$J$7)))))","v":"Low risk"},{"$f":"IF(I205=\"NA\",\"Data not available\",IF(I205>$I$3,$J$3,IF(I205>$I$4,$J$4,IF(I205>$I$5,$J$5,IF(I205>$I$6,$J$6,$J$7)))))","v":"Very low risk"},"Very low risk","Low risk","Very low risk","Low risk",{"$f":"IF(N205=\"NA\",\"Data not available\",IF(N205>$I$3,$J$3,IF(N205>$I$4,$J$4,IF(N205>$I$5,$J$5,IF(N205>$I$6,$J$6,$J$7)))))","v":"Medium risk"},"Medium risk","Medium risk","Medium risk"]
["RWA","Rwanda",2.2599999999999998,1.34,2.27,2.83,2.57,2.75,2.08,1.56,1.84,1.73,4.21,3.29,3.99,3.44,2.44,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B206,CountryMapping[WWF risk profile country],0)),\"\")","v":"Rwanda"},"Low risk","Very low risk","Low risk","Medium risk","Low risk","Medium risk","Low risk","Very low risk","Low risk","Very low risk","Very High risk","Medium risk","High risk","High risk","Low risk"]
["SAU","Saudi Arabia",2.94,3.65,3.99,1.76,2.29,2.2400000000000002,2.46,3.47,2.04,2.31,1.52,2.91,2.73,3.21,2.84,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B207,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","High risk","High risk","Very low risk","Low risk","Low risk","Low risk","High risk","Low risk","Low risk","Very low risk","Medium risk","Medium risk","Medium risk","Medium risk"]
["SDN","Sudan",2.74,2.94,3.65,2.2400000000000002,2.09,2.23,2.96,2.99,3.03,1.93,4.4800000000000004,2.87,2.65,3.69,2.39,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B208,CountryMapping[WWF risk profile country],0)),\"\")","v":"Sudan"},"Medium risk","Medium risk","High risk","Low risk","Low risk","Low risk","Medium risk","Medium risk","Medium risk","Low risk","Very High risk","Medium risk","Medium risk","High risk","Low risk"]
["SEN","Senegal",2.79,2.41,4.05,2.2999999999999998,2.2200000000000002,2.77,2.63,2.54,2.5499999999999998,2.0099999999999998,4.03,2.66,3.02,2.7,2.2599999999999998,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B209,CountryMapping[WWF risk profile country],0)),\"\")","v":"Senegal"},"Medium risk","Low risk","High risk","Low risk","Low risk","Medium risk","Medium risk","Low risk","Low risk","Low risk","High risk","Medium risk","Medium risk","Medium risk","Low risk"]
["SGP","Singapore",3.32,"NA",3.98,2.5,3.67,3.4,2.1,2,2.2799999999999998,2.41,1.39,2.97,3.87,2.5099999999999998,2.4700000000000002,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B210,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","Data not available","High risk","Low risk","High risk","Medium risk","Low risk","Low risk","Low risk","Low risk","Very low risk","Medium risk","High risk","Low risk","Low risk"]
["SGS","South Georgia and South Sandwich Islands","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B211,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["SHN","Saint Helena","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B212,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["SLB","Solomon Islands",1.81,1.51,2.27,1.59,1.72,2.0499999999999998,3.37,3,3.5,3,4.5,2.58,2.66,2.2999999999999998,2.74,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B213,CountryMapping[WWF risk profile country],0)),\"\")","v":"Solomon Islands"},"Low risk","Very low risk","Low risk","Very low risk","Very low risk","Low risk","Medium risk","Medium risk","High risk","Medium risk","Very High risk","Low risk","Medium risk","Low risk","Medium risk"]
["SLE","Sierra Leone",2.27,1.63,2.85,2.42,2.09,2.5,3.29,2.64,3.11,3.58,4.5,2.6,3.65,1.95,2.11,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B214,CountryMapping[WWF risk profile country],0)),\"\")","v":"Sierra Leone"},"Low risk","Very low risk","Medium risk","Low risk","Low risk","Low risk","Medium risk","Medium risk","Medium risk","High risk","Very High risk","Low risk","High risk","Low risk","Low risk"]
["SLV","El Salvador",2.87,2.39,2.81,3.16,3.16,3.04,3.26,3.12,4,3.25,2.1,3.11,3.24,2.97,3.11,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B215,CountryMapping[WWF risk profile country],0)),\"\")","v":"El Salvador"},"Medium risk","Low risk","Medium risk","Medium risk","Medium risk","Medium risk","Medium risk","Medium risk","High risk","Medium risk","Low risk","Medium risk","Medium risk","Medium risk","Medium risk"]
["SMR","San Marino",2.97,2.2000000000000002,3,2,4.34,4,1.47,1,1.5,2.2999999999999998,1,"NA",3.7,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B216,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","Low risk","Medium risk","Low risk","Very High risk","High risk","Very low risk","Very low risk","Very low risk","Low risk","Very low risk","Data not available","High risk","Data not available","Data not available"]
["SOM","Somalia",2.79,3.14,3.75,2.37,1.95,2.02,4.0999999999999996,3.97,3.97,3.88,4.99,2.8,2.64,4.3499999999999996,1.62,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B217,CountryMapping[WWF risk profile country],0)),\"\")","v":"Somalia"},"Medium risk","Medium risk","High risk","Low risk","Low risk","Low risk","High risk","High risk","High risk","High risk","Very High risk","Medium risk","Medium risk","Very High risk","Very low risk"]
["SPM","Saint Pierre and Miquelon",1.86,"NA",1.5,1.5,1.3,1.8,"NA","NA","NA",3,"NA","NA",2.2000000000000002,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B218,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Low risk","Data not available","Very low risk","Very low risk","Very low risk","Very low risk","Data not available","Data not available","Data not available","Medium risk","Data not available","Data not available","Low risk","Data not available","Data not available"]
["SRB","Serbia",2.36,1.61,1.76,2.75,3.42,2.78,2.5499999999999998,3.26,2.5,2.39,1.51,2.6,2.75,2.56,2.5,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B219,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Low risk","Very low risk","Very low risk","Medium risk","High risk","Medium risk","Low risk","Medium risk","Low risk","Low risk","Very low risk","Low risk","Medium risk","Low risk","Low risk"]
["SSD","South Sudan",2.5499999999999998,1.95,3.7,2.82,1.88,1.96,3.04,2.06,3,3.1,4.9800000000000004,2.99,3.2,4.25,1.69,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B220,CountryMapping[WWF risk profile country],0)),\"\")","v":"South Sudan"},"Low risk","Low risk","High risk","Medium risk","Low risk","Low risk","Medium risk","Low risk","Medium risk","Medium risk","Very High risk","Medium risk","Medium risk","Very High risk","Very low risk"]
["STP","Sao Tome and Principe","NA","NA",2,1,"NA",1.8,3.8,3,4.16,4.0999999999999996,4.17,3.3,4.3,2.5,"NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B221,CountryMapping[WWF risk profile country],0)),\"\")","v":"Sao Tome and Principe"},"Data not available","Data not available","Low risk","Very low risk","Data not available","Very low risk","High risk","Medium risk","High risk","High risk","High risk","Medium risk","Very High risk","Low risk","Data not available"]
["SUR","Suriname",1.69,1.36,1.84,2.15,1.28,2.0299999999999998,3.31,3.99,3.47,3.08,2.0299999999999998,2.76,3.96,1.91,2.29,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B222,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Very low risk","Very low risk","Low risk","Low risk","Very low risk","Low risk","Medium risk","High risk","High risk","Medium risk","Low risk","Medium risk","High risk","Low risk","Low risk"]
["SVK","Slovakia",2.79,1.77,3.41,2.68,3.4,2.82,2.0499999999999998,1.94,2.46,2.31,1.03,2.44,3.35,1.43,2.39,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B223,CountryMapping[WWF risk profile country],0)),\"\")","v":"Slovakia"},"Medium risk","Very low risk","High risk","Medium risk","Medium risk","Medium risk","Low risk","Low risk","Low risk","Low risk","Very low risk","Low risk","Medium risk","Very low risk","Low risk"]
["SVN","Slovenia",2.21,1.55,2.08,2.04,3.07,2.79,1.17,1,1.56,1,1,2.02,3.29,1.1100000000000001,1.53,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B224,CountryMapping[WWF risk profile country],0)),\"\")","v":"Slovenia"},"Low risk","Very low risk","Low risk","Low risk","Medium risk","Medium risk","Very low risk","Very low risk","Very low risk","Very low risk","Very low risk","Low risk","Medium risk","Very low risk","Very low risk"]
["SWE","Sweden",1.75,1.28,2.42,1.42,1.53,2.34,1.1499999999999999,1.5,1,1,1,2.14,2.83,1,2.41,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B225,CountryMapping[WWF risk profile country],0)),\"\")","v":"Sweden"},"Very low risk","Very low risk","Low risk","Very low risk","Very low risk","Low risk","Very low risk","Very low risk","Very low risk","Very low risk","Very low risk","Low risk","Medium risk","Very low risk","Low risk"]
["SWZ","Eswatini",2.93,1.85,4.57,2.59,2.39,3.25,2.04,1.17,2.35,1.7,3.75,2.69,2.64,3.64,1.94,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B226,CountryMapping[WWF risk profile country],0)),\"\")","v":"Eswatini"},"Medium risk","Low risk","Very High risk","Low risk","Low risk","Medium risk","Low risk","Very low risk","Low risk","Very low risk","High risk","Medium risk","Medium risk","High risk","Low risk"]
["SXM","Sint Maarten",2.74,"NA",3.5,1.5,3.16,1.8,"NA","NA","NA",2.4,"NA","NA",3.1,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B227,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","Data not available","High risk","Very low risk","Medium risk","Very low risk","Data not available","Data not available","Data not available","Low risk","Data not available","Data not available","Medium risk","Data not available","Data not available"]
["SYC","Seychelles","NA","NA","NA",1,"NA","NA",1.58,2.13,1.1299999999999999,1.79,1,2.4,3.39,1.3,2.34,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B228,CountryMapping[WWF risk profile country],0)),\"\")","v":"Seychelles"},"Data not available","Data not available","Data not available","Very low risk","Data not available","Data not available","Very low risk","Low risk","Very low risk","Very low risk",{"$f":"IF(M228=\"NA\",\"Data not available\",IF(M228>$I$3,$J$3,IF(M228>$I$4,$J$4,IF(M228>$I$5,$J$5,IF(M228>$I$6,$J$6,$J$7)))))","v":"Very low risk"},"Low risk","Medium risk","Very low risk","Low risk"]
["SYR","Syria",3.12,3.43,3.86,1.79,3.24,2.92,3.02,1.99,4.7699999999999996,2.86,1.88,3.01,2.4500000000000002,4.3,2.4700000000000002,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B229,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","High risk","High risk","Very low risk","Medium risk","Medium risk","Medium risk","Low risk","Very High risk","Medium risk","Low risk","Medium risk","Low risk","Very High risk","Low risk"]
["TCA","Turks and Caicos Islands",1.91,"NA",2,1,1.2,2.2000000000000002,"NA","NA","NA",3.6,"NA","NA",3.7,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B230,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Low risk","Data not available","Low risk","Very low risk","Very low risk","Low risk","Data not available","Data not available","Data not available","High risk","Data not available","Data not available","High risk","Data not available","Data not available"]
["TCD","Chad",2.5499999999999998,2.79,3.47,2.04,1.84,2.0699999999999998,3.51,3.94,3.01,2.72,4.93,2.83,2.58,3.57,2.44,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B231,CountryMapping[WWF risk profile country],0)),\"\")","v":"Chad"},"Low risk","Medium risk","High risk","Low risk","Low risk","Low risk","High risk","High risk","Medium risk","Medium risk","Very High risk","Medium risk","Low risk","High risk","Low risk"]
["TGO","Togo",2.67,1.5,4.33,2.44,2.2999999999999998,2.61,3.39,2.34,3.68,3.66,4.45,2.73,3.01,2.54,2.62,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B232,CountryMapping[WWF risk profile country],0)),\"\")","v":"Togo"},"Medium risk","Very low risk","Very High risk","Low risk","Low risk","Medium risk","Medium risk","Low risk","High risk","High risk","Very High risk","Medium risk","Medium risk","Low risk","Medium risk"]
["THA","Thailand",2.92,2.5099999999999998,3.05,3.15,2.86,3.24,2.0299999999999998,1.53,3,2.04,1.0900000000000001,2.99,3.22,2.61,3.07,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B233,CountryMapping[WWF risk profile country],0)),\"\")","v":"Thailand"},"Medium risk","Low risk","Medium risk","Medium risk","Medium risk","Medium risk","Low risk","Very low risk","Medium risk","Low risk","Very low risk","Medium risk","Medium risk","Medium risk","Medium risk"]
["TJK","Tajikistan",2.78,2.36,3.7,2.73,2.29,2.64,2.69,2.61,3.57,2.09,2.09,2.5,2.33,2.99,2.2400000000000002,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B234,CountryMapping[WWF risk profile country],0)),\"\")","v":"Tajikistan"},"Medium risk","Low risk","High risk","Medium risk","Low risk","Medium risk","Medium risk","Medium risk","High risk","Low risk","Low risk","Low risk","Low risk","Medium risk","Low risk"]
["TKL","Tokelau","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B235,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["TKM","Turkmenistan",2.8,3.05,3.73,1.56,2.56,2.83,2.23,2.0699999999999998,2.56,2.74,1.07,2.68,1.9,3.21,"NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B236,CountryMapping[WWF risk profile country],0)),\"\")","v":"Turkmenistan"},"Medium risk","Medium risk","High risk","Very low risk","Low risk","Medium risk","Low risk","Low risk","Low risk","Medium risk","Very low risk","Medium risk","Low risk","Medium risk","Data not available"]
["TLS","Timor-Leste",2.15,1.84,2.42,1.96,2.29,2.34,4.07,4.7699999999999996,3.42,4.1900000000000004,3.8,2.2999999999999998,2.97,1.84,2.04,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B237,CountryMapping[WWF risk profile country],0)),\"\")","v":"Timor-Leste"},"Low risk","Low risk","Low risk","Low risk","Low risk","Low risk","High risk","Very High risk","High risk","High risk","High risk","Low risk","Medium risk","Low risk","Low risk"]
["TON","Tonga","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B238,CountryMapping[WWF risk profile country],0)),\"\")","v":"Tonga"},"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["TTO","Trinidad and Tobago",3.14,3.4,4,2,3.18,2.5,2.62,3,3,2.4,1.5,2.4,4.2,1.6,1.3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B239,CountryMapping[WWF risk profile country],0)),\"\")","v":"Trinidad and Tobago"},"Medium risk","Medium risk","High risk","Low risk","Medium risk","Low risk","Medium risk","Medium risk","Medium risk","Low risk","Very low risk","Low risk","High risk","Very low risk","Very low risk"]
["TUN","Tunisia",3.07,3.4,3.96,1.79,3.06,2.61,1.96,1.61,2.1800000000000002,2.59,1.17,2.85,2.93,2.78,2.83,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B240,CountryMapping[WWF risk profile country],0)),\"\")","v":"Tunisia"},"Medium risk","Medium risk","High risk","Very low risk","Medium risk","Medium risk","Low risk","Very low risk","Low risk","Low risk","Very low risk","Medium risk","Medium risk","Medium risk","Medium risk"]
["TUR","Turkey",2.82,2.68,2.87,2.17,3.4,3.2,1.62,1.02,2.04,2.2000000000000002,1.02,3.14,2.56,4.28,2.72,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B241,CountryMapping[WWF risk profile country],0)),\"\")","v":"Turkey"},"Medium risk","Medium risk","Medium risk","Low risk","Medium risk","Medium risk","Very low risk","Very low risk","Low risk","Low risk","Very low risk","Medium risk","Low risk","Very High risk","Medium risk"]
["TUV","Tuvalu","NA","NA","NA",1,"NA","NA",2.75,4,2.27,2.2999999999999998,2,"NA",2.9,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B242,CountryMapping[WWF risk profile country],0)),\"\")","v":"Tuvalu"},"Data not available","Data not available","Data not available","Very low risk","Data not available","Data not available","Medium risk","High risk","Low risk","Low risk","Low risk","Data not available","Medium risk","Data not available","Data not available"]
["TZA","Tanzania",2.09,1.52,2.42,2.33,1.97,2.4300000000000002,3.06,2.98,2.5299999999999998,2.63,4.9800000000000004,3.28,3.65,3.01,3.15,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B243,CountryMapping[WWF risk profile country],0)),\"\")","v":"United Republic of Tanzania"},"Low risk","Very low risk","Low risk","Low risk","Low risk","Low risk","Medium risk","Medium risk","Low risk","Medium risk","Very High risk","Medium risk","High risk","Medium risk","Medium risk"]
["UGA","Uganda",2.39,1.44,3.37,2.7,2.12,2.2799999999999998,2.8,2.0299999999999998,3.01,2.17,4.9800000000000004,3.41,3.8,3.22,3.18,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B244,CountryMapping[WWF risk profile country],0)),\"\")","v":"Uganda"},"Low risk","Very low risk","Medium risk","Medium risk","Low risk","Low risk","Medium risk","Low risk","Medium risk","Low risk","Very High risk","High risk","High risk","Medium risk","Medium risk"]
["UKR","Ukraine",2.69,1.9,3.24,2.29,3.52,2.44,2.83,3.89,2.97,2.2000000000000002,1.52,2.67,2.57,3.05,2.4500000000000002,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B245,CountryMapping[WWF risk profile country],0)),\"\")","v":"Ukraine"},"Medium risk","Low risk","Medium risk","Low risk","High risk","Low risk","Medium risk","High risk","Medium risk","Low risk","Very low risk","Medium risk","Low risk","Medium risk","Low risk"]
["UMI","United States Minor Outlying Islands","NA","NA","NA",1.3,"NA","NA","NA","NA","NA",2.64,"NA","NA",3.26,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B246,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Data not available","Very low risk","Data not available","Data not available","Data not available","Data not available","Data not available","Medium risk","Data not available","Data not available","Medium risk","Data not available","Data not available"]
["URY","Uruguay",2.0299999999999998,1.59,1.64,2.94,1.87,2.54,2.36,"NA",2.04,2.77,1.05,2.4500000000000002,2.98,1.7,2.56,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B247,CountryMapping[WWF risk profile country],0)),\"\")","v":"Uruguay"},"Low risk","Very low risk","Very low risk","Medium risk","Low risk","Low risk","Low risk","Data not available","Low risk","Medium risk","Very low risk","Low risk","Medium risk","Very low risk","Low risk"]
["USA","United States",2.33,2.17,2.04,2.2200000000000002,2.59,3.17,1.35,1.02,2,1.18,1,2.59,2.37,2.8,2.64,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B248,CountryMapping[WWF risk profile country],0)),\"\")","v":"United States of America"},"Low risk","Low risk","Low risk","Low risk","Low risk","Medium risk","Very low risk","Very low risk","Low risk","Very low risk","Very low risk","Low risk","Low risk","Medium risk","Medium risk"]
["UZB","Uzbekistan",2.91,3.1,3.94,1.66,2.86,2.5,2.6,3,3.4,2.08,1.06,2.2000000000000002,2.2200000000000002,2.96,1.52,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B249,CountryMapping[WWF risk profile country],0)),\"\")","v":"Uzbekistan"},"Medium risk","Medium risk","High risk","Very low risk","Medium risk","Low risk","Low risk","Medium risk","Medium risk","Low risk","Very low risk","Low risk","Low risk","Medium risk","Very low risk"]
["VAT","Vatican City",3.09,2,3,3.5,4,3.4,"NA","NA","NA",2.2999999999999998,"NA","NA",2.1,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B250,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","Low risk","Medium risk","High risk","High risk","Medium risk","Data not available","Data not available","Data not available","Low risk","Data not available","Data not available","Low risk","Data not available","Data not available"]
["VCT","Saint Vincent and the Grenadines","NA","NA",4,2,"NA",2.4,2.5299999999999998,3,2.56,2.4,1.76,3.03,3.3,"NA",2.8,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B251,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","High risk","Low risk","Data not available","Low risk","Low risk","Medium risk","Low risk","Low risk","Very low risk","Medium risk","Medium risk","Data not available","Medium risk"]
["VEN","Venezuela",2.09,1.55,2.27,2.42,1.96,2.5499999999999998,3.09,"NA",3.96,3.12,1.51,3.03,3.31,3.99,1.91,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B252,CountryMapping[WWF risk profile country],0)),\"\")","v":"Venezuela (Bolivarian Republic of)"},"Low risk","Very low risk","Low risk","Low risk","Low risk","Low risk","Medium risk","Data not available","High risk","Medium risk","Very low risk","Medium risk","Medium risk","High risk","Low risk"]
["VGB","British Virgin Islands",2.68,"NA",3,2,2.76,2.2999999999999998,"NA","NA","NA",2.4,"NA",2.4,2.5,"NA",1.8,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B253,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Medium risk","Data not available","Medium risk","Low risk","Medium risk","Low risk","Data not available","Data not available","Data not available","Low risk","Data not available","Low risk","Low risk","Data not available","Very low risk"]
["VIR","US Virgin Islands",2.68,"NA",3,2,2.76,2.2999999999999998,"NA","NA",3,2.4,"NA",2.4,2.5,"NA",1.8,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B254,CountryMapping[WWF risk profile country],0)),\"\")","v":0},"Medium risk","Data not available","Medium risk","Low risk","Medium risk","Low risk","Data not available","Data not available","Medium risk","Low risk","Data not available","Low risk","Low risk","Data not available","Very low risk"]
["VNM","Vietnam",2.75,2.17,2.87,3.23,2.58,3.26,2.64,2.4500000000000002,2.98,3.04,1.63,2.79,3.03,2.66,2.66,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B255,CountryMapping[WWF risk profile country],0)),\"\")","v":"Viet Nam"},"Medium risk","Low risk","Medium risk","Medium risk","Low risk","Medium risk","Medium risk","Low risk","Medium risk","Medium risk","Very low risk","Medium risk","Medium risk","Medium risk","Medium risk"]
["VUT","Vanuatu",2.2400000000000002,"NA",3.02,1.38,1.47,1.66,2.6,2.5,2.5,2.2999999999999998,3.5,2.4700000000000002,2.96,1.6,2.74,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B256,CountryMapping[WWF risk profile country],0)),\"\")","v":"Vanuatu"},"Low risk","Data not available","Medium risk","Very low risk","Very low risk","Very low risk","Low risk","Low risk","Low risk","Low risk","High risk","Low risk","Medium risk","Very low risk","Medium risk"]
["WLF","Wallis and Futuna","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B257,CountryMapping[WWF risk profile country],0)),\"\")","v":""},"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["WSM","Samoa","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B258,CountryMapping[WWF risk profile country],0)),\"\")","v":"Samoa"},"Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available","Data not available"]
["YEM","Yemen",2.84,3.68,3.09,2.11,2.5,2.29,3.75,2.99,4.87,2.97,4.33,3.29,2.63,4.32,3.06,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B259,CountryMapping[WWF risk profile country],0)),\"\")","v":"Yemen"},"Medium risk","High risk","Medium risk","Low risk","Low risk","Low risk","High risk","Medium risk","Very High risk","Medium risk","Very High risk","Medium risk","Medium risk","Very High risk","Medium risk"]
["ZAF","South Africa",2.89,3.12,3.64,1.96,2.5099999999999998,3.09,1.94,1.52,2.02,1.71,3.03,2.78,1.97,3.97,2.57,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B260,CountryMapping[WWF risk profile country],0)),\"\")","v":"South Africa"},"Medium risk","Medium risk","High risk","Low risk","Low risk","Medium risk","Low risk","Very low risk","Low risk","Very low risk","Medium risk","Medium risk","Low risk","High risk","Low risk"]
["ZMB","Zambia",2.41,1.63,3.61,2.29,1.83,2.77,2.87,2.5,2.54,2.75,4.5199999999999996,2.87,3.2,3.32,2.15,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B261,CountryMapping[WWF risk profile country],0)),\"\")","v":"Zambia"},"Low risk","Very low risk","High risk","Low risk","Low risk","Medium risk","Medium risk","Low risk","Low risk","Medium risk","Very High risk","Medium risk","Medium risk","Medium risk","Low risk"]
["ZWE","Zimbabwe",2.63,2.13,3.66,2.2000000000000002,2.2999999999999998,2.81,2.66,2,2.4900000000000002,2.57,4.47,2.6,2.16,3.88,1.94,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B262,CountryMapping[WWF risk profile country],0)),\"\")","v":"Zimbabwe"},"Medium risk","Low risk","High risk","Low risk","Low risk","Medium risk","Medium risk","Low risk","Low risk","Low risk","Very High risk","Low risk","Low risk","High risk","Low risk"]

{"sheet":"WWF-Water-CountryRank","index":91,"n_rows":262,"n_cols":18,"rows_kept":262,"cut":false,"hidden":true,"merged":[]}
["WWF Water Country Rank"]
["Source:","WWF Water Risk Filter - Country Profiles"]
["Accessed:","2025-01-01"]
[]
[]
[]
[]
[]
[null,"Number of countries",{"$f":"MAX(C12:C262)","v":119},{"$f":"MAX(D12:D262)","v":124},122,118,128,120,137,96,100,133,94,103,131,109,128]
["Country Rank 2024",null,"Basin Physical Risk","1. Water Availability","2. Drought","3. Flooding","4. Water Quality","5. Ecosystem Services Status","Basin Regulatory Risk","6. Enabling Environment","7. Institutions & Governance","8. Management Instruments","9. WASH Infrastructure","Basin Reputational Risk","10. Environmental Factors","11. Socioeconomic Factors","12. Additional Reputational Factors"]
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["ABW","Aruba","NA","NA",9,1,"NA",34,"NA","NA",62,63,"NA",95,125,"NA",96,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B12,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["AFG","Afghanistan",82,96,58,83,68,56,132,83,97,124,66,48,18,102,27,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B13,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["AGO","Angola",37,40,79,42,17,44,69,22,64,35,92,78,87,100,36,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B14,CountryMapping[WWF risk profile country],0)),\"\")","v":"Angola"}]
["AIA","Anguilla",79,"NA",85,15,94,13,"NA","NA",56,63,"NA","NA",66,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B15,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["ALB","Albania",69,77,18,77,103,86,47,60,29,25,17,54,85,33,95,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B16,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["AND","Andorra",100,80,104,38,89,117,7,5,10,1,1,94,84,"NA",126,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B17,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["ARE","United Arab Emirates",114,123,112,33,65,47,14,9,16,23,10,3,50,31,2,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B18,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["ARG","Argentina",39,73,20,45,57,49,70,67,41,93,19,63,62,53,98,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B19,CountryMapping[WWF risk profile country],0)),\"\")","v":"Argentina"}]
["ARM","Armenia",98,88,91,53,86,106,45,26,53,43,19,43,48,30,105,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B20,CountryMapping[WWF risk profile country],0)),\"\")","v":"Armenia"}]
["ASM","American Samoa","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B21,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["ATF","French Southern Territories","NA","NA","NA",1,"NA","NA","NA","NA","NA",88,"NA","NA",89,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B22,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["ATG","Antigua and Barbuda",86,"NA",85,38,79,34,83,77,74,63,1,82,66,"NA",116,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B23,CountryMapping[WWF risk profile country],0)),\"\")","v":"Antigua and Barbuda"}]
["AUS","Australia",50,85,42,39,33,70,4,1,1,15,1,9,31,21,53,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B24,CountryMapping[WWF risk profile country],0)),\"\")","v":"Australia"}]
["AUT","Austria",52,44,25,84,85,70,5,2,9,2,1,31,91,4,93,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B25,CountryMapping[WWF risk profile country],0)),\"\")","v":"Austria"}]
["AZE","Azerbaijan",93,80,75,70,100,71,44,20,62,51,12,24,25,54,44,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B26,CountryMapping[WWF risk profile country],0)),\"\")","v":"Azerbaijan"}]
["BDI","Burundi",38,5,47,95,55,58,112,58,91,64,86,73,124,68,28,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B27,CountryMapping[WWF risk profile country],0)),\"\")","v":"Burundi"}]
["BEL","Belgium",101,64,74,57,126,102,17,29,8,3,1,54,84,16,121,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B28,CountryMapping[WWF risk profile country],0)),\"\")","v":"Belgium"}]
["BEN","Benin",82,34,118,78,54,72,61,23,28,69,84,37,100,43,30,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B29,CountryMapping[WWF risk profile country],0)),\"\")","v":"Benin"}]
["BES1","Bonaire","NA","NA",9,1,"NA",34,"NA","NA","NA",63,"NA",95,125,"NA",96,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B30,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["BES2","Saba","NA","NA",85,15,"NA",13,"NA","NA","NA",63,"NA","NA",66,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B31,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["BES3","Saint Eustatius",79,"NA",85,15,94,13,"NA","NA","NA",63,"NA","NA",66,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B32,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["BFA","Burkina Faso",90,66,110,71,67,96,48,10,26,34,88,30,69,82,1,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B33,CountryMapping[WWF risk profile country],0)),\"\")","v":"Burkina Faso"}]
["BGD","Bangladesh",118,83,98,118,119,74,77,27,72,86,55,55,57,77,59,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B34,CountryMapping[WWF risk profile country],0)),\"\")","v":"Bangladesh"}]
["BGR","Bulgaria",50,45,8,85,104,91,42,30,38,27,31,11,47,30,22,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B35,CountryMapping[WWF risk profile country],0)),\"\")","v":"Bulgaria"}]
["BHR","Bahrain",117,124,121,1,107,45,106,82,80,91,1,69,101,62,70,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B36,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["BHS","Bahamas",43,"NA",34,35,13,57,101,66,62,131,19,26,48,"NA",7,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B37,CountryMapping[WWF risk profile country],0)),\"\")","v":"Bahamas"}]
["BIH","Bosnia and Herzegovina",35,30,10,74,96,29,116,80,81,112,18,45,65,41,79,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B38,CountryMapping[WWF risk profile country],0)),\"\")","v":"Bosnia and Herzegovina"}]
["BLM","Saint Barthelemy","NA","NA",85,15,"NA",13,"NA","NA","NA",63,"NA","NA",66,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B39,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["BLR","Belarus",40,10,38,50,93,61,39,37,58,14,9,16,71,41,6,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B40,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["BLZ","Belize",18,12,30,60,30,39,115,90,77,103,38,65,94,65,60,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B41,CountryMapping[WWF risk profile country],0)),\"\")","v":"Belize"}]
["BMU","Bermuda","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B42,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["BOL","Bolivia",46,38,52,103,21,66,77,22,70,96,51,93,113,84,94,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B43,CountryMapping[WWF risk profile country],0)),\"\")","v":"Bolivia (Plurinational State of)"}]
["BRA","Brazil",45,55,59,77,22,68,51,17,40,94,33,96,104,95,99,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B44,CountryMapping[WWF risk profile country],0)),\"\")","v":"Brazil"}]
["BRB","Barbados",92,"NA",109,38,64,46,66,66,46,63,28,55,83,39,90,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B45,CountryMapping[WWF risk profile country],0)),\"\")","v":"Barbados"}]
["BRN","Brunei Darussalam",6,1,2,40,50,38,24,13,18,38,11,77,92,"NA",86,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B46,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["BTN","Bhutan",54,40,44,109,59,35,91,56,52,124,49,34,72,53,27,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B47,CountryMapping[WWF risk profile country],0)),\"\")","v":"Bhutan"}]
["BVT","Bouvet Island","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B48,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["BWA","Botswana",60,101,65,31,29,37,86,62,60,70,57,45,25,66,74,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B49,CountryMapping[WWF risk profile country],0)),\"\")","v":"Botswana"}]
["CAF","Central African Republic",8,29,13,29,8,11,118,78,46,118,93,59,88,92,14,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B50,CountryMapping[WWF risk profile country],0)),\"\")","v":"Central African Republic"}]
["CAN","Canada",3,18,7,14,16,40,57,"NA",22,87,1,22,20,37,80,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B51,CountryMapping[WWF risk profile country],0)),\"\")","v":"Canada"}]
["CCK","Cocos Islands","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B52,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["CHE","Switzerland",69,36,64,66,100,93,23,43,5,21,1,41,108,12,83,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B53,CountryMapping[WWF risk profile country],0)),\"\")","v":"Switzerland"}]
["CHL","Chile",41,89,26,32,41,39,103,95,42,112,5,51,51,58,82,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B54,CountryMapping[WWF risk profile country],0)),\"\")","v":"Chile"}]
["CHN","China",57,73,21,64,79,99,34,2,41,36,21,73,21,103,81,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B55,CountryMapping[WWF risk profile country],0)),\"\")","v":"China"}]
["CIV","Côte d'Ivoire",40,30,77,38,28,87,109,82,45,72,81,70,44,69,110,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B56,CountryMapping[WWF risk profile country],0)),\"\")","v":"Cote d'Ivoire"}]
["CMR","Cameroon",21,23,41,34,34,35,123,89,74,92,83,58,96,81,23,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B57,CountryMapping[WWF risk profile country],0)),\"\")","v":"Cameroon"}]
["COD","Congo DRC",21,13,43,55,35,20,137,87,98,132,93,102,110,95,123,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B58,CountryMapping[WWF risk profile country],0)),\"\")","v":"Congo"}]
["COG","Congo",11,17,19,59,7,16,125,79,89,96,83,87,129,76,47,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B59,CountryMapping[WWF risk profile country],0)),\"\")","v":"Democratic Republic of the Congo"}]
["COK","Cook Islands","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B60,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["COL","Colombia",40,39,40,106,19,39,41,36,26,61,22,98,104,102,85,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B61,CountryMapping[WWF risk profile country],0)),\"\")","v":"Colombia"}]
["COM","Comoros","NA","NA",27,15,"NA",13,108,50,74,96,82,59,100,63,47,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B62,CountryMapping[WWF risk profile country],0)),\"\")","v":"Comoros"}]
["CPV","Cabo Verde","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B63,CountryMapping[WWF risk profile country],0)),\"\")","v":"Cabo Verde"}]
["CRI","Costa Rica",67,36,99,82,43,94,49,53,50,32,15,23,82,29,29,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B64,CountryMapping[WWF risk profile country],0)),\"\")","v":"Costa Rica"}]
["CUB","Cuba",81,89,45,71,75,107,28,16,22,9,33,37,75,63,18,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B65,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["CUW","Curacao","NA","NA",9,1,"NA",34,"NA","NA","NA",63,"NA",95,125,"NA",96,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B66,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["CXR","Christmas Island","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B67,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["CYM","Cayman Islands","NA","NA","NA",8,"NA","NA","NA","NA",62,69,"NA",45,99,"NA",7,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B68,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["CYP","Cyprus",92,93,84,15,110,92,9,1,22,1,1,20,47,17,76,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B69,CountryMapping[WWF risk profile country],0)),\"\")","v":"Cyprus"}]
["CZE","Czech Republic",75,59,46,67,114,79,9,3,20,4,4,32,103,13,63,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B70,CountryMapping[WWF risk profile country],0)),\"\")","v":"Czech Republic"}]
["DEU","Germany",78,37,66,68,117,91,2,3,3,2,2,61,80,34,112,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B71,CountryMapping[WWF risk profile country],0)),\"\")","v":"Germany"}]
["DJI","Djibouti",105,91,116,75,"NA",5,118,"NA",74,114,75,23,58,59,8,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B72,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["DMA","Dominica","NA","NA",85,38,"NA",41,83,66,62,63,55,"NA",58,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B73,CountryMapping[WWF risk profile country],0)),\"\")","v":"Dominica"}]
["DNK","Denmark",13,6,11,5,90,32,1,1,1,1,1,22,116,2,54,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B74,CountryMapping[WWF risk profile country],0)),\"\")","v":"Denmark"}]
["DOM","Dominican Republic",109,94,77,90,98,116,79,77,49,67,40,62,95,36,102,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B75,CountryMapping[WWF risk profile country],0)),\"\")","v":"Dominican Republic"}]
["DT1","Aksai Chin (disputed)",55,95,17,21,"NA",47,"NA","NA","NA",103,"NA","NA",10,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B76,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["DT2","Abyei (disputed)",86,64,84,117,45,62,"NA","NA","NA",84,"NA","NA",57,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B77,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["DT3","Western Sahara (disputed)",58,107,85,6,40,8,"NA","NA","NA",66,"NA",32,29,"NA",33,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B78,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["DT4","Arunachal Pradesh (disputed)",69,40,88,113,43,52,"NA","NA","NA",107,"NA","NA",55,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B79,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["DZA","Algeria",81,108,95,19,55,25,89,49,72,97,48,38,30,75,45,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B80,CountryMapping[WWF risk profile country],0)),\"\")","v":"Algeria"}]
["ECU","Ecuador",68,39,102,92,41,67,103,66,96,65,35,72,123,47,64,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B81,CountryMapping[WWF risk profile country],0)),\"\")","v":"Ecuador"}]
["EGY","Egypt",98,121,111,16,66,17,70,36,89,71,7,48,17,85,70,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B82,CountryMapping[WWF risk profile country],0)),\"\")","v":"Egypt"}]
["ERI","Eritrea",97,87,120,39,62,43,121,"NA",73,115,91,34,48,82,13,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B83,CountryMapping[WWF risk profile country],0)),\"\")","v":"Eritrea"}]
["ESP","Spain",105,92,73,48,112,118,6,2,11,3,1,28,35,20,100,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B84,CountryMapping[WWF risk profile country],0)),\"\")","v":"Spain"}]
["ESP2","Canarias",99,"NA",109,38,93,22,"NA","NA","NA",20,"NA","NA",74,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B85,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["EST","Estonia",41,48,87,10,55,42,3,3,6,1,10,15,90,6,49,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B86,CountryMapping[WWF risk profile country],0)),\"\")","v":"Estonia"}]
["ETH","Ethiopia",57,54,80,60,52,48,122,76,75,96,93,51,65,90,24,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B87,CountryMapping[WWF risk profile country],0)),\"\")","v":"Ethiopia"}]
["FIN","Finland",5,3,22,7,13,58,11,3,12,29,5,10,47,15,56,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B88,CountryMapping[WWF risk profile country],0)),\"\")","v":"Finland"}]
["FJI","Fiji",25,4,63,58,26,50,81,91,40,59,33,30,107,17,41,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B89,CountryMapping[WWF risk profile country],0)),\"\")","v":"Fiji"}]
["FLK","Falkland Islands","NA","NA",9,1,"NA",2,"NA","NA","NA",118,"NA","NA",78,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B90,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["FRA","France",68,30,48,54,115,111,18,34,9,1,1,53,69,36,104,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B91,CountryMapping[WWF risk profile country],0)),\"\")","v":"France"}]
["FRA2","Clipperton","NA","NA","NA",1,"NA","NA","NA","NA","NA",96,"NA","NA",36,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B92,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["FRO","Faroe Islands","NA","NA",27,1,"NA","NA","NA","NA","NA",63,"NA",54,116,"NA",7,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B93,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["FSM","Micronesia","NA","NA",55,1,"NA","NA",65,77,35,26,39,61,83,39,103,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B94,CountryMapping[WWF risk profile country],0)),\"\")","v":"Micronesia (Federated States of)"}]
["GAB","Gabon",16,49,26,26,14,7,128,94,65,122,70,85,126,41,95,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B95,CountryMapping[WWF risk profile country],0)),\"\")","v":"Gabon"}]
["GBR","United Kingdom",30,16,5,61,100,83,1,1,1,1,4,69,94,46,101,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B96,CountryMapping[WWF risk profile country],0)),\"\")","v":"United Kingdom"}]
["GEO","Georgia",70,72,72,75,61,71,43,45,15,40,43,22,34,35,66,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B97,CountryMapping[WWF risk profile country],0)),\"\")","v":"Georgia"}]
["GGY","Guernsey",77,"NA",27,15,123,54,"NA","NA","NA",1,"NA",103,122,"NA",127,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B98,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["GHA","Ghana",88,30,117,91,59,96,78,36,62,68,73,43,49,70,44,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B99,CountryMapping[WWF risk profile country],0)),\"\")","v":"Ghana"}]
["GIB","Gibraltar","NA","NA",55,38,"NA",120,"NA","NA","NA",1,"NA",82,22,"NA",128,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B100,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["GIN","Guinea",23,30,29,34,29,86,130,88,84,111,80,60,103,64,38,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B101,CountryMapping[WWF risk profile country],0)),\"\")","v":"Guinea"}]
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["PRT2","Azores","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B197,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["PRT3","Madeira",99,"NA",109,38,93,22,"NA","NA","NA",20,"NA","NA",74,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B198,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["PRY","Paraguay",48,33,50,106,25,86,119,81,82,120,25,61,98,65,47,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B199,CountryMapping[WWF risk profile country],0)),\"\")","v":"Paraguay"}]
["PSE","Palestinian Territory",119,120,121,61,125,102,56,"NA",51,30,1,76,12,"NA",128,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B200,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["PYF","French Polynesia","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B201,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["QAT","Qatar",103,118,113,4,83,40,36,54,12,24,4,42,68,50,53,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B202,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["REU","Réunion","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B203,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["ROU","Romania",62,30,24,93,111,81,21,7,24,6,32,7,46,18,25,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B204,CountryMapping[WWF risk profile country],0)),\"\")","v":"Romania"}]
["RUS","Russian Federation",9,16,7,43,18,38,33,2,40,18,33,82,43,83,117,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B205,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["RWA","Rwanda",36,14,16,97,69,72,45,21,19,29,76,92,121,91,64,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B206,CountryMapping[WWF risk profile country],0)),\"\")","v":"Rwanda"}]
["SAU","Saudi Arabia",97,117,108,24,53,37,63,75,25,60,21,65,39,80,93,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B207,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["SDN","Sudan",79,97,92,57,47,36,92,65,64,37,80,62,33,98,61,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B208,CountryMapping[WWF risk profile country],0)),\"\")","v":"Sudan"}]
["SEN","Senegal",84,77,110,62,51,74,72,52,45,42,71,43,60,58,53,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B209,CountryMapping[WWF risk profile country],0)),\"\")","v":"Senegal"}]
["SGP","Singapore",115,"NA",107,77,118,114,46,34,34,64,16,71,119,49,66,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B210,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["SGS","South Georgia and South Sandwich Islands","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B211,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["SHN","Saint Helena","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B212,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["SLB","Solomon Islands",10,24,16,18,21,26,115,66,74,96,82,35,34,44,88,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B213,CountryMapping[WWF risk profile country],0)),\"\")","v":"Solomon Islands"}]
["SLE","Sierra Leone",37,31,45,71,47,54,112,57,66,116,82,37,108,28,40,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B214,CountryMapping[WWF risk profile country],0)),\"\")","v":"Sierra Leone"}]
["SLV","El Salvador",91,76,43,111,94,96,110,70,90,108,37,83,78,68,111,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B215,CountryMapping[WWF risk profile country],0)),\"\")","v":"El Salvador"}]
["SMR","San Marino",99,69,55,38,127,120,19,1,10,59,1,"NA",112,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B216,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["SOM","Somalia",84,103,97,68,37,23,134,88,87,126,93,55,32,109,8,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B217,CountryMapping[WWF risk profile country],0)),\"\")","v":"Somalia"}]
["SPM","Saint Pierre and Miquelon",12,"NA",1,15,6,13,"NA","NA","NA",96,"NA","NA",8,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B218,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["SRB","Serbia",44,29,4,93,106,75,67,71,40,62,20,37,40,51,68,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B219,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["SSD","South Sudan",61,54,94,96,32,19,97,39,62,101,92,72,74,105,12,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B220,CountryMapping[WWF risk profile country],0)),\"\")","v":"South Sudan"}]
["STP","Sao Tome and Principe","NA","NA",9,1,"NA",13,129,66,93,128,74,93,130,48,"NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B221,CountryMapping[WWF risk profile country],0)),\"\")","v":"Sao Tome and Principe"}]
["SUR","Suriname",4,16,5,49,5,24,113,90,71,100,34,51,120,27,55,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B222,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["SVK","Slovakia",84,41,78,87,105,79,42,29,37,60,4,24,87,14,61,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B223,CountryMapping[WWF risk profile country],0)),\"\")","v":"Slovakia"}]
["SVN","Slovenia",31,26,12,41,92,76,7,1,14,1,1,1,82,5,5,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B224,CountryMapping[WWF risk profile country],0)),\"\")","v":"Slovenia"}]
["SWE","Sweden",7,9,23,12,11,43,5,16,1,1,1,6,45,1,62,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B225,CountryMapping[WWF risk profile country],0)),\"\")","v":"Sweden"}]
["SWZ","Eswatini",96,47,122,83,59,108,41,12,36,26,63,46,32,97,28,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B226,CountryMapping[WWF risk profile country],0)),\"\")","v":"Eswatini"}]
["SXM","Sint Maarten",79,"NA",85,15,94,13,"NA","NA","NA",63,"NA","NA",66,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B227,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["SYC","Seychelles","NA","NA","NA",1,"NA","NA",26,41,6,33,1,21,90,7,58,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B228,CountryMapping[WWF risk profile country],0)),\"\")","v":"Seychelles"}]
["SYR","Syria",110,110,100,27,99,88,95,33,99,89,29,74,20,107,66,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B229,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["TCA","Turks and Caicos Islands",14,"NA",9,1,3,34,"NA","NA","NA",118,"NA","NA",112,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B230,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["TCD","Chad",61,90,82,41,28,27,120,85,63,79,87,58,28,94,64,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B231,CountryMapping[WWF risk profile country],0)),\"\")","v":"Chad"}]
["TGO","Togo",72,23,115,73,54,63,116,44,78,121,78,49,59,50,77,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B232,CountryMapping[WWF risk profile country],0)),\"\")","v":"Togo"}]
["THA","Thailand",95,78,58,110,81,107,40,19,62,44,10,72,76,53,109,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B233,CountryMapping[WWF risk profile country],0)),\"\")","v":"Thailand"}]
["TJK","Tajikistan",83,75,94,91,53,65,76,55,76,47,36,30,13,69,51,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B234,CountryMapping[WWF risk profile country],0)),\"\")","v":"Tajikistan"}]
["TKL","Tokelau","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B235,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["TKM","Turkmenistan",85,99,96,17,68,80,50,40,46,80,8,45,2,80,"NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B236,CountryMapping[WWF risk profile country],0)),\"\")","v":"Turkmenistan"}]
["TLS","Timor-Leste",27,46,23,37,53,43,133,96,69,129,64,14,56,26,35,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B237,CountryMapping[WWF risk profile country],0)),\"\")","v":"Timor-Leste"}]
["TON","Tonga","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B238,CountryMapping[WWF risk profile country],0)),\"\")","v":"Tonga"}]
["TTO","Trinidad and Tobago",111,109,109,38,96,54,71,66,62,63,19,21,128,17,3,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B239,CountryMapping[WWF risk profile country],0)),\"\")","v":"Trinidad and Tobago"}]
["TUN","Tunisia",106,109,105,27,91,63,38,25,31,72,13,60,53,62,92,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B240,CountryMapping[WWF risk profile country],0)),\"\")","v":"Tunisia"}]
["TUR","Turkey",87,84,46,51,105,105,27,3,25,54,3,85,26,106,86,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B241,CountryMapping[WWF risk profile country],0)),\"\")","v":"Turkey"}]
["TUV","Tuvalu","NA","NA","NA",1,"NA","NA",78,91,33,59,33,"NA",51,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B242,CountryMapping[WWF risk profile country],0)),\"\")","v":"Tuvalu"}]
["TZA","Tanzania",24,25,23,65,39,48,99,64,43,74,92,91,108,71,113,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B243,CountryMapping[WWF risk profile country],0)),\"\")","v":"United Republic of Tanzania"}]
["UGA","Uganda",47,19,75,89,48,39,80,37,63,52,92,99,116,81,115,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B244,CountryMapping[WWF risk profile country],0)),\"\")","v":"Uganda"}]
["UKR","Ukraine",74,51,68,61,108,49,82,82,59,54,21,44,27,72,65,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B245,CountryMapping[WWF risk profile country],0)),\"\")","v":"Ukraine"}]
["UMI","United States Minor Outlying Islands","NA","NA","NA",7,"NA","NA","NA","NA","NA",75,"NA","NA",79,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B246,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["URY","Uruguay",19,27,3,102,31,58,58,"NA",25,83,6,25,57,21,72,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B247,CountryMapping[WWF risk profile country],0)),\"\")","v":"Uruguay"}]
["USA","United States",41,66,10,56,71,104,11,3,22,10,1,36,16,63,79,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B248,CountryMapping[WWF risk profile country],0)),\"\")","v":"United States of America"}]
["UZB","Uzbekistan",94,100,103,20,81,54,69,66,68,46,7,8,9,67,4,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B249,CountryMapping[WWF risk profile country],0)),\"\")","v":"Uzbekistan"}]
["VAT","Vatican City",108,58,55,116,123,114,"NA","NA","NA",59,"NA","NA",5,"NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B250,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["VCT","Saint Vincent and the Grenadines","NA","NA",109,38,"NA",46,66,66,46,63,28,76,83,"NA",90,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B251,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["VEN","Venezuela",24,26,16,71,38,59,100,"NA",86,102,20,76,84,104,26,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B252,CountryMapping[WWF risk profile country],0)),\"\")","v":"Venezuela (Bolivarian Republic of)"}]
["VGB","British Virgin Islands",73,"NA",55,38,76,41,"NA","NA","NA",63,"NA",21,22,"NA",17,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B253,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["VIR","US Virgin Islands",73,"NA",55,38,76,41,"NA","NA",62,63,"NA",21,22,"NA",17,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B254,CountryMapping[WWF risk profile country],0)),\"\")","v":0}]
["VNM","Vietnam",80,66,46,112,70,109,73,46,60,99,26,54,61,56,81,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B255,CountryMapping[WWF risk profile country],0)),\"\")","v":"Viet Nam"}]
["VUT","Vanuatu",34,"NA",56,9,9,4,69,50,40,59,62,27,55,17,88,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B256,CountryMapping[WWF risk profile country],0)),\"\")","v":"Vanuatu"}]
["WLF","Wallis and Futuna","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B257,CountryMapping[WWF risk profile country],0)),\"\")","v":""}]
["WSM","Samoa","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA",{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B258,CountryMapping[WWF risk profile country],0)),\"\")","v":"Samoa"}]
["YEM","Yemen",89,119,60,45,64,40,127,65,100,95,77,92,31,108,108,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B259,CountryMapping[WWF risk profile country],0)),\"\")","v":"Yemen"}]
["ZAF","South Africa",92,102,91,37,65,99,37,18,23,27,56,53,3,102,73,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B260,CountryMapping[WWF risk profile country],0)),\"\")","v":"South Africa"}]
["ZMB","Zambia",49,31,89,61,27,74,85,50,44,81,84,62,74,86,42,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B261,CountryMapping[WWF risk profile country],0)),\"\")","v":"Zambia"}]
["ZWE","Zimbabwe",68,62,93,54,54,78,75,34,39,70,79,37,6,101,28,{"$f":"_xlfn.IFNA(INDEX(CountryMapping[Tool country list],MATCH(B262,CountryMapping[WWF risk profile country],0)),\"\")","v":"Zimbabwe"}]

{"sheet":"Fuel use indicator>>","index":92,"n_rows":0,"n_cols":0,"rows_kept":0,"cut":false,"hidden":true,"merged":[]}

{"sheet":"Avoided fuel use","index":93,"n_rows":48,"n_cols":5,"rows_kept":48,"cut":false,"hidden":true,"merged":[]}
[null,"AVOIDED FUEL USE INDICATOR"]
[]
[null,"This indicator represents the avoided fuel use from transport based on the avoided food losses."]
[null,"The methodology is based on the fuel efficiency, the distance and quantity of avoided food losses. It is calculated per transport stage and then summed up."]
[null,"NB: If the selected commodity is Tuna, the avoided emissions from fuel use at fishing are calculated directly in the Impact results tab."]
[]
[null,null,"Number of transport stages:",{"$f":"'Country-selector'!C32","v":1}]
[null,null,"Total avoided fuel use:",{"$f":"D18+IF(D7>1,D28,0)+IF(D7>2,D38,0)+IF(D7>3,D48,0)","v":{"$error":"#N/A"}},"L fuel / tonne of avoided food"]
[]
[null,"Transport 1"]
[]
[null,null,"Final EF (weighted average of three sub-stages):",{"$f":"'TR-1'!C14","v":{"$error":"#N/A"}},"tCO2e per tonne per year"]
[null,null,"Tonnes (based on typical gross HGV weight):",{"$f":"'TR-1'!$D$43","v":18.25},"tonnes"]
[null,null,"kgCO2/lt (BEIS (UK) diesel emission factor):",{"$f":"'TR-1'!$D$44","v":3.286},"kgCO2/lt"]
[null,null,"Fuel efficiency:",{"$f":"D12*D13/D14*100/(100%+50%)","v":{"$error":"#N/A"}},"L/100km"]
[null,null,"Fuel efficiency:",{"$f":"D15/100","v":{"$error":"#N/A"}},"L/km"]
[null,null,"Distance:",{"$f":"SUM('TR-1'!$E$19,'TR-1'!$I$19,'TR-1'!$M$19)","v":{"$error":"#N/A"}},"km"]
[null,null,"Avoided fuel use:",{"$f":"D16*D17","v":{"$error":"#N/A"}},"L fuel / tonne of avoided food"]
[]
[null,"Transport 2"]
[]
[null,null,"Final EF (weighted average of three sub-stages):",{"$f":"'TR-2'!$C$14","v":{"$error":"#N/A"}},"tCO2e per tonne per year"]
[null,null,"Tonnes (based on typical gross HGV weight):",{"$f":"'TR-2'!D43","v":18.25},"tonnes"]
[null,null,"kgCO2/lt (BEIS (UK) diesel emission factor):",{"$f":"'TR-2'!D44","v":3.286},"kgCO2/lt"]
[null,null,"Fuel efficiency:",{"$f":"D22*D23/D24*100/(100%+50%)","v":{"$error":"#N/A"}},"L/100km"]
[null,null,"Fuel efficiency:",{"$f":"D25/100","v":{"$error":"#N/A"}},"L/km"]
[null,null,"Distance:",{"$f":"SUM('TR-2'!$E$19,'TR-2'!$I$19,'TR-2'!$M$19)","v":{"$error":"#N/A"}},"km"]
[null,null,"Avoided fuel use:",{"$f":"D26*D27","v":{"$error":"#N/A"}},"L fuel / tonne of avoided food"]
[]
[null,"Transport 3"]
[]
[null,null,"Final EF (weighted average of three sub-stages):",{"$f":"'TR-3'!$C$14","v":{"$error":"#N/A"}},"tCO2e per tonne per year"]
[null,null,"Tonnes (based on typical gross HGV weight):",{"$f":"'TR-3'!D43","v":18.25},"tonnes"]
[null,null,"kgCO2/lt (BEIS (UK) diesel emission factor):",{"$f":"'TR-3'!D44","v":3.286},"kgCO2/lt"]
[null,null,"Fuel efficiency:",{"$f":"D32*D33/D34*100/(100%+50%)","v":{"$error":"#N/A"}},"L/100km"]
[null,null,"Fuel efficiency:",{"$f":"D35/100","v":{"$error":"#N/A"}},"L/km"]
[null,null,"Distance:",{"$f":"SUM('TR-3'!$E$19,'TR-3'!$I$19,'TR-3'!$M$19)","v":{"$error":"#N/A"}},"km"]
[null,null,"Avoided fuel use:",{"$f":"D36*D37","v":{"$error":"#N/A"}},"L fuel / tonne of avoided food"]
[]
[null,"Transport 4"]
[]
[null,null,"Final EF (weighted average of three sub-stages):",{"$f":"'TR-4'!$C$14","v":{"$error":"#N/A"}},"tCO2e per tonne per year"]
[null,null,"Tonnes (based on typical gross HGV weight):",{"$f":"'TR-4'!D43","v":18.25},"tonnes"]
[null,null,"kgCO2/lt (BEIS (UK) diesel emission factor):",{"$f":"'TR-4'!D44","v":3.286},"kgCO2/lt"]
[null,null,"Fuel efficiency:",{"$f":"D42*D43/D44*100/(100%+50%)","v":{"$error":"#N/A"}},"L/100km"]
[null,null,"Fuel efficiency:",{"$f":"D45/100","v":{"$error":"#N/A"}},"L/km"]
[null,null,"Distance:",{"$f":"SUM('TR-4'!$E$19,'TR-4'!$I$19,'TR-4'!$M$19)","v":{"$error":"#N/A"}},"km"]
[null,null,"Avoided fuel use:",{"$f":"D46*D47","v":{"$error":"#N/A"}},"L fuel / tonne of avoided food"]